A mega-analysis of genome-wide association studies for major depressive disorder.

paper Cited Public

Authors: Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium; Ripke, Stephan; Wray, Naomi R; Lewis, Cathryn M; Hamilton, Steven P; Weissman, Myrna M; Breen, Gerome; Byrne, Enda M; Blackwood, Douglas H R; Boomsma, Dorret I; Cichon, Sven; Heath, Andrew C; Holsboer, Florian; Lucae, Susanne; Madden, Pamela A F; Martin, Nicholas G; McGuffin, Peter; Muglia, Pierandrea; Noethen, Markus M; Penninx, Brenda P; Pergadia, Michele L; Potash, James B; Rietschel, Marcella; Lin, Danyu; Müller-Myhsok, Bertram; Shi, Jianxin; Steinberg, Stacy; Grabe, Hans J; Lichtenstein, Paul; Magnusson, Patrik; Perlis, Roy H; Preisig, Martin; Smoller, Jordan W; Stefansson, Kari; Uher, Rudolf; Kutalik, Zoltan; Tansey, Katherine E; Teumer, Alexander; Viktorin, Alexander; Barnes, Michael R; Bettecken, Thomas; Binder, Elisabeth B; Breuer, René; Castro, Victor M; Churchill, Susanne E; Coryell, William H; Craddock, Nick; Craig, Ian W; Czamara, Darina; De Geus, Eco J; Degenhardt, Franziska; Farmer, Anne E; Fava, Maurizio; Frank, Josef; Gainer, Vivian S; Gallagher, Patience J; Gordon, Scott D; Goryachev, Sergey; Gross, Magdalena; Guipponi, Michel; Henders, Anjali K; Herms, Stefan; Hickie, Ian B; Hoefels, Susanne; Hoogendijk, Witte; Hottenga, Jouke Jan; Iosifescu, Dan V; Ising, Marcus; Jones, Ian; Jones, Lisa; Jung-Ying, Tzeng; Knowles, James A; Kohane, Isaac S; Kohli, Martin A; Korszun, Ania; Landen, Mikael; Lawson, William B; Lewis, Glyn; Macintyre, Donald; Maier, Wolfgang; Mattheisen, Manuel; McGrath, Patrick J; McIntosh, Andrew; McLean, Alan; Middeldorp, Christel M; Middleton, Lefkos; Montgomery, Grant M; Murphy, Shawn N; Nauck, Matthias; Nolen, Willem A; Nyholt, Dale R; O'Donovan, Michael; Oskarsson, Högni; Pedersen, Nancy; Scheftner, William A; Schulz, Andrea; Schulze, Thomas G; Shyn, Stanley I; Sigurdsson, Engilbert; Slager, Susan L; Smit, Johannes H; Stefansson, Hreinn; Steffens, Michael; Thorgeirsson, Thorgeir; Tozzi, Federica; Treutlein, Jens; Uhr, Manfred; van den Oord, Edwin J C G; Van Grootheest, Gerard; Völzke, Henry; Weilburg, Jeffrey B; Willemsen, Gonneke; Zitman, Frans G; Neale, Benjamin; Daly, Mark; Levinson, Douglas F; Sullivan, Patrick F
Year: 2013
Journal: Molecular psychiatry
PMID: 22472876
DOI: 10.1038/mp.2012.21
PMCID: PMC3837431

#	Section	Preview
0	Introduction	Major depressive disorder (MDD) is a genetically complex trait. The lifetime prevalence of MDD is…
1	Introduction	The heritability of MDD is 31–42%,10 although certain subsets of MDD may be more heritable (for…
2	Introduction	The most important determinant of success in identifying associations for complex traits is the…
3	Introduction	Meta-analysis has thus become essential in human complex trait genetics. There are now many examples…
4	Materials and methods — Overview	In the discovery phase, we conducted mega-analysis for MDD using nine primary samples. All groups…
5	Materials and methods — Samples	Full sample details are given in the Supplementary Methods. For the discovery phase, we included all…
6	Materials and methods — Samples	There were two sets of analyses conducted on additional samples. For MDD replication, we used…
7	Materials and methods — SNP genotyping	SNP genotyping is described in the Supplementary Methods and summarized in Supplementary Table S2.…
8	Materials and methods — Quality control	Genotyping coordinates are given in NCBI Build 36/UCSC hg18. For the discovery phase, quality…
9	Materials and methods — Statistical analysis	We used logistic regression to test the association of MDD diagnosis with imputed SNP dosages under…
10	Materials and methods — Chromosome X	Female sex is an established risk factor for MDD, and analysis of chromosome X is particularly…
11	Materials and methods — Secondary analyses	MDD is suspected to have important phenotypic heterogeneity, and association analyses might yield…
12	Materials and methods — Secondary analyses	to code increase and decrease in appetite, weight, sleep and energy level). Latent class cluster…
13	Results	In the discovery stage, we conducted a GWAS megaanalysis for MDD in 18 759 independent and unrelated…
14	Results	An overview of the results is in Figure 1. The quantile–quantile plot shows conformity of the…
15	Results	The minimum P-values for the main analysis were at rs11579964 (chr1: 222 605 563 bp, P =…
16	Results	In the analyses of chrX, no SNP achieved genome-wide significance in analysis of all samples or in…
17	Results	In the MDD replication phase, 554 SNPs with P < 0.001 from the discovery mega-analysis were…
18	Results	(sign test, P = 0.006) although no SNP neared genome-wide significance (minimum P = 4.8×10−6 at…
19	Results	In the MDD-BIP cross-disorder analyses, we evaluated support for a broader mood disorders phenotype.…

Name	Type
1000 Genomes Project	cohort
5-HTTLPR	variant
ADCY9	gene
ADHD	phenotype
age of onset	phenotype
Age of onset of MDD local	phenotype
age-related macular degeneration	phenotype
all samples local	cohort
antipsychotics	drug
attention deficit hyperactivity disorder	phenotype
autism	phenotype
autosomal SNPs	cohort
BiP	phenotype
BIP66 local	cohort
BIP discovery phase local	cohort
bipolar disorder	phenotype
BIP sample local	cohort
body weight	phenotype
breast cancer	phenotype
Broad mood disorder phenotype local	phenotype
CEU+TSI HapMap3 local	cohort
Christchurch longitudinal study local	cohort
chrX SNPs local	variant
Clinically Ascertained Major Depressive Disorder local	phenotype
Combined BIP-schizophrenia phenotype local	phenotype
Combined MDD-BIP phenotype local	phenotype
common variation	variant
copy number variation	variant
Crohn’s disease	phenotype
cross-disorder analyses local	cohort
discovery and replication samples local	cohort
Discovery mega-analysis local	cohort
Discovery phase local	cohort
discovery samples local	cohort
Dunedin longitudinal study local	cohort
DVL3 local	gene
Early-onset MDD	phenotype
European ancestry	cohort
European population	cohort
external samples local	cohort
Female MDD cases and controls local	cohort
female-only analysis local	cohort
GLT8D1	gene
GNL3	gene
GRM7	gene
HapMap	cohort
Hap-Map2 local	cohort
HapMap3	cohort
HapMap3 CEU+TSI local	cohort
height	phenotype
HTR3C local	gene
HTR3D local	gene
HTR3E local	gene
Htr7	gene
hypersomnia	phenotype
hypersomnia class local	cohort
independent samples	cohort
inflammatory bowel disease	phenotype
insomnia	phenotype
ITIH1	gene
ITIH3	gene
ITIH4	gene
lung cancer	phenotype
major depressive disorder	phenotype
male cases and controls local	cohort
Male MDD cases and controls local	cohort
MDD-BIP cross-disorder cohort local	cohort
MDD cases	cohort
MDD controls	cohort
MDD discovery phase local	cohort
MDD discovery phase samples local	cohort
MDD replication phase local	cohort
MDD sample local	cohort
mood disorders	phenotype
Multiple cancers local	phenotype
multiple sclerosis	phenotype
NEK4	gene
NHGRI-EBI GWAS catalog	cohort
NIMH Human Genetics Initiative Repository local	cohort
nine primary samples local	cohort
nucleus accumbens	anatomy
Parkinson’s disease	phenotype
PBRM1	gene
PDLIM5	gene
PGC	cohort
PGC analyses local	cohort
PGC BIP mega-analysis local	cohort
PGC BIP megaanalysis local	cohort
PGC BIP study local	cohort
PGC discovery local	cohort
PGC schizophrenia study local	cohort
PGC SCZ study local	cohort
Pre-pubertal onset MDD local	phenotype
Primary MDD samples local	cohort
Psychiatric Genomics Consortium	cohort
recurrence	phenotype
Recurrent Early-Onset Major Depressive Disorder local	phenotype
recurrent major depressive disorder	phenotype
Reln	gene
replication sample	cohort
rs1042779 local	variant
rs11579964 local	variant
rs12837650 local	variant
rs1969253 local	variant
rs2239547	variant
rs2251219	variant
rs2498828 local	variant
rs2535629 local	variant
rs2668193 local	variant
rs2878628 local	variant
rs3773729 local	variant
rs3774609 local	variant
rs736408 local	variant
rs7647854 local	variant
schizophrenia	phenotype
SCZ	phenotype
secondary phenotypes local	phenotype
seven independent MDD samples local	cohort
sex	phenotype
Sklar et al.36 local	cohort
SLC6A4	gene
SNP	cohort
SPCS1 local	gene
study cohort	cohort
systemic lupus erythematosus	phenotype
type 2 diabetes	phenotype
typicality	phenotype
typical MDD local	phenotype
uncommon variation local	variant
weight gain	phenotype
Weight gain/insomnia local	phenotype
weight gain/insomnia class local	cohort
weight loss	phenotype
Weight loss/insomnia local	phenotype
weight loss/insomnia class local	cohort

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In this knowledge base

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Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.	2018	29700475
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An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype.	2017	28049566
The utility of empirically assigning ancestry groups in cross-population genetic studies of addiction.	2017	28714599
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses.	2016	27089181
Identification of 15 genetic loci associated with risk of major depression in individuals of European descent.	2016	27479909
Polygenic dissection of major depression clinical heterogeneity.	2016	26122587
Genetic determinants of depression: recent findings and future directions.	2015	25563565
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.	2015	25642630
Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder.	2015	25993607
A genome-wide association study of anorexia nervosa.	2014	24514567
Genetic influences on alcohol use across stages of development: GABRA2 and longitudinal trajectories of drunkenness from adolescence to young adulthood.	2014	23692184
The genetics of major depression.	2014	24507187
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.	2013	23933821
Genome-wide association analysis identifies 13 new risk loci for schizophrenia.	2013	23974872
Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.	2013	23453885
Genetic architectures of psychiatric disorders: the emerging picture and its implications.	2012	22777127

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Genetic factors predicting risk of mood disorders in adolescents.	Gangaraju SH et al.	—	2025	→
Genetic susceptibility to depressive symptoms in middle-aged to older Americans: time-varying effects and effect modification by early psychosocial factors.	Wilding HE et al.	—	2025	→
Genome-wide association analyses identify distinct genetic architectures for early-onset and late-onset depression.	Shorter JR et al.	—	2025	→
Genome-wide study for signatures of selection identifies genomic regions and candidate genes associated with milk traits in sheep.	Ebrahimi F et al.	—	2025	→
Identification and validation of depression-associated genetic variants in the UK Biobank cohort with transcriptome and DNA methylation analyses in independent cohorts.	Lafta MS et al.	—	2025	→
Integrating brain imaging features and genomic profiles for the subtyping of major depression.	Yin L et al.	—	2025	→
Mechanism of N6-Methyladenosine Modification in the Pathogenesis of Depression.	Xian Z et al.	—	2025	→
Novel Gene-Informed Regional Brain Targets for Clinical Screening for Major Depression.	Odierna GL et al.	—	2025	→
Polygene by environment interactions predicting depressive outcomes.	Grillo AR	—	2025	→
Prediction of depressive symptoms in young adults by polygenic score and childhood maltreatment: Results from a population-based birth cohort.	Scardera S et al.	—	2025	→
Prevalence of depressive symptoms in the general population with a fully structured interview with skips vs. unconditional sequential assessment: implications for clinical and psychiatric epidemiology studies.	Vilar A et al.	—	2025	→
Symptom networks of common mental disorders in public versus private healthcare settings in India.	Sönmez CC et al.	—	2025	→
Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies.	Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. Electronic address: andrew.mcintosh@ed.ac.uk et al.	—	2025	→
Translating Molecular Psychiatry: From Biomarkers to Personalized Therapies-A Narrative Review.	Capatina TF et al.	—	2025	→
Vascular endothelial growth factor: a key factor in the onset and treatment of depression.	Wang J et al.	—	2025	→
Whole exome sequencing identified six novel genes for depressive symptoms.	Li ZY et al.	—	2025	→
A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma.	Verma SS et al.	—	2024	→
Annual Research Review: Sex, gender, and internalizing conditions among adolescents in the 21st century - trends, causes, consequences.	Keyes KM et al.	—	2024	→
Association of 11 variants of the dopaminergic and cognitive pathways genes with major depression, schizophrenia and bipolar disorder in the Pakistani population.	Nasir Hashmi A et al.	—	2024	→
Attention-Deficit/Hyperactivity Disorder and Major Depressive Disorder: Evidence From Multiple Genetically Informed Designs.	Garcia-Argibay M et al.	—	2024	→
Deep sequencing of candidate genes identified 14 variants associated with smoking abstinence in an ethnically diverse sample.	Cinciripini PM et al.	—	2024	→
Depression proteomic profiling in adolescents with transcriptome analyses in independent cohorts.	Sokolov AV et al.	—	2024	→
Effects of sex and gender on the etiologies and presentation of select internalizing psychopathologies.	Singh K et al.	—	2024	→
Evaluating three strategies of genome-wide association analysis for integrating data from multiple populations.	Zhong Z et al.	—	2024	→
Genetic evidence for causal effects of immune dysfunction in psychiatric disorders: where are we?	Iakunchykova O et al.	—	2024	→
Genetic propensity to depression and the role of partnership status.	Gueltzow M et al.	—	2024	→
Genome-wide meta-analysis of ascertainment and symptom structures of major depression in case-enriched and community cohorts.	Adams MJ et al.	—	2024	→
Gray matter volumetric correlates of the polygenic risk of depression: A study of the Human Connectome Project data.	Fu X et al.	—	2024	→
Hemorrhoidal disease and its genetic association with depression, bipolar disorder, anxiety disorders, and schizophrenia: a bidirectional mendelian randomization study.	Huang Z et al.	—	2024	→
Identification and experimental validation of hub genes underlying depressive-like behaviors induced by chronic social defeat stress.	Chen Y et al.	—	2024	→
MDDOmics: multi-omics resource of major depressive disorder.	Zhao Y et al.	—	2024	→
Menin Reduces Parvalbumin Expression and is Required for the Anti-Depressant Function of Ketamine.	Leng L et al.	—	2024	→
Monozygotic twins discordant for depression: An extended network comparison of depressive symptoms, cognitive functions and daily activities.	Moron M et al.	—	2024	→
Potential Benefits of Statin Therapy in Reducing Osteoarthritis Risk: A Mendelian Randomization Study.	Zhang L et al.	—	2024	→
Sex-specific associations between circadian-related genes and depression in UK Biobank participants highlight links to glucose metabolism, inflammation and neuroplasticity pathways.	Minbay M et al.	—	2024	→
Transcriptomic decoding of regional cortical vulnerability to major depressive disorder.	Zhu J et al.	—	2024	→
Two polygenic mouse models of major depressive disorders identify TMEM161B as a potential biomarker of disease in humans.	El Yacoubi M et al.	—	2024	→
Using genetic variations to reveal the complex relationships between vegetarianism and well-being, depressive symptoms and neuroticism.	Chen K et al.	—	2024	→
A Complete Sojourn of Gene Therapy along with its Targeting Approaches for the Treatment of the Major Depressive Disorder.	Singh D et al.	—	2023	→
Association Between Single Nucleotide Polymorphisms Within lncRNA NONHSAT102891 and Depression Susceptibility in a Chinese Population.	Liang P et al.	—	2023	→
Associations of Germline Genetic Variants With Depression and Fatigue Among Hematologic Cancer Patients Treated With Allogeneic Hematopoietic Cell Transplantation.	Hoogland AI et al.	—	2023	→
Biomarkers of Postpartum Depression: A Narrative Review.	Modzelewski S et al.	—	2023	→
Cerebral blood flow changes and their genetic mechanisms in major depressive disorder: a combined neuroimaging and transcriptome study.	Sun X et al.	—	2023	→
Deep phenotyping as a contribution to personalized depression therapy: the GEParD and DaCFail protocols.	Lichter K et al.	—	2023	→
Evaluating 17 methods incorporating biological function with GWAS summary statistics to accelerate discovery demonstrates a tradeoff between high sensitivity and high positive predictive value.	Moore A et al.	—	2023	→
Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression.	Huang SS et al.	—	2023	→
Gender differences in the association of polygenic risk and divergent depression trajectories from mid to late life: a national longitudinal study.	Chen P et al.	—	2023	→
Genetic risk, muscle strength and risk of incident major depressive disorder: results from the UK Biobank.	Gu Y et al.	—	2023	→
Genomic analysis of firework fear and noise reactivity in standard poodles.	Handegård KW et al.	—	2023	→
Heterogenous trajectories in physical, mental and cognitive health among older Americans: Roles of genetics and life course contextual factors.	Hoang CT et al.	—	2023	→
Identification and investigation of depression-related molecular subtypes in inflammatory bowel disease and the anti-inflammatory mechanisms of paroxetine.	Ning L et al.	—	2023	→
Identification of novel biomarkers linking depressive disorder and Alzheimer's disease based on an integrative bioinformatics analysis.	Song J et al.	—	2023	→
Inhibition of TREM-1 ameliorates Lipopolysaccharide-induced depressive-like behaviors by alleviating neuroinflammation in the PFC via PI3K/Akt signaling pathway.	Fu A et al.	—	2023	→
Leisure Activities, Genetic Risk, and Frailty: Evidence from the Chinese Adults Aged 80 Years or Older.	Zhou J et al.	—	2023	→
Maternal prenatal depression is associated with dysregulation over the first five years of life moderated by child polygenic risk for comorbid psychiatric problems.	Babineau V et al.	—	2023	→
Meta-Analyses of Genome-Wide Association Studies for Postpartum Depression.	Guintivano J et al.	—	2023	→
Molecular pathways of major depressive disorder converge on the synapse.	Fries GR et al.	—	2023	→
Outpatient Pharmacogenomic Screenings to Prevent Addiction, Overdose, and Suicide.	Yarlagadda A et al.	—	2023	→
Pathways link environmental and genetic factors with structural brain networks and psychopathology in youth.	Qiu A et al.	—	2023	→
Polygenic risk score and peer victimisation independently predict depressive symptoms in adolescence: results from the Quebec Longitudinal Study of Children Development.	Perret LC et al.	—	2023	→
Relationship between circulating mitochondrial DNA and microRNA in patients with major depression.	Ogata H et al.	—	2023	→
The association between polygenic risk scores for mental disorders and social cognition: A scoping review.	Fusar-Poli L et al.	—	2023	→
The genetic basis of major depressive disorder.	Flint J	—	2023	→
The Immune System and Depression: From Epidemiological to Clinical Evidence.	Sørensen NV et al.	—	2023	→
The Melanocortin System: A Promising Target for the Development of New Antidepressant Drugs.	Markov DD et al.	—	2023	→
Towards a multilevel model of major depression: genes, immuno-metabolic function, and cortico-striatal signaling.	Paul ER et al.	—	2023	→
Transcriptional substrates of brain structural and functional impairments in drug-naive first-episode patients with major depressive disorder.	Fang Q et al.	—	2023	→
Use of multiple polygenic risk scores for distinguishing schizophrenia-spectrum disorder and affective psychosis categories in a first-episode sample; the EU-GEI study.	Rodriguez V et al.	—	2023	→
Attempting to Increase the Effectiveness of the Antidepressant Trazodone Hydrochloride Drug Using π-Acceptors.	Alsanie WF et al.	—	2022	→
Body mass index interacts with a genetic-risk score for depression increasing the risk of the disease in high-susceptibility individuals.	Anguita-Ruiz A et al.	—	2022	→
Brain differential gene expression and blood cross-validation of a molecular signature of patients with major depressive disorder.	Gomez Rueda H et al.	—	2022	→
Can epigenetics shine a light on the biological pathways underlying major mental disorders?	Alameda L et al.	—	2022	→
Characterizing mood disorders in the AFFECT study: a large, longitudinal, and phenotypically rich genetic cohort in the US.	Dalby M et al.	—	2022	→
Depression and anxiety in inflammatory bowel disease: epidemiology, mechanisms and treatment.	Bisgaard TH et al.	—	2022	→
Digital tools for the assessment of pharmacological treatment for depressive disorder: State of the art.	Van Assche E et al.	—	2022	→
Emerging roles of long non-coding RNA in depression.	Hao WZ et al.	—	2022	→
Exome-wide screening identifies novel rare risk variants for major depression disorder.	Cheng S et al.	—	2022	→
Facial Emotion Recognition in Psychosis and Associations With Polygenic Risk for Schizophrenia: Findings From the Multi-Center EU-GEI Case-Control Study.	Tripoli G et al.	—	2022	→
Gene-gene interaction and new onset of major depressive disorder: Findings from a Chinese freshmen nested case-control study.	Yue S et al.	—	2022	→
Genetic correlation between female infertility and mental health and lifestyle factors: A linkage disequilibrium score regression study.	Ma M et al.	—	2022	→
Genome-wide association studies in non-anxiety individuals identified novel risk loci for depression.	Cheng B et al.	—	2022	→
Identify novel, shared and disorder-specific genetic architecture of major depressive disorder, insomnia and chronic pain.	Zheng H et al.	—	2022	→
Impact of ACE2 genetic variant on antidepressant efficacy of SSRIs.	Firouzabadi N et al.	—	2022	→
Incarceration, polygenic risk, and depressive symptoms among males in late adulthood.	Liu H et al.	—	2022	→
Insomnia and post-traumatic stress disorder: A meta-analysis on interrelated association (n = 57,618) and prevalence (n = 573,665).	Ahmadi R et al.	—	2022	→
Integrative omics analysis identifies differential biological pathways that are associated with regional grey matter volume changes in major depressive disorder.	Sha Z et al.	—	2022	→
L1 Retrotransposons: A Potential Endogenous Regulator for Schizophrenia.	Jahangir M et al.	—	2022	→
Major Depressive Disorder: Existing Hypotheses about Pathophysiological Mechanisms and New Genetic Findings.	Kamran M et al.	—	2022	→
Meals, Microbiota and Mental Health in Children and Adolescents (MMM-Study): A protocol for an observational longitudinal case-control study.	Asbjornsdottir B et al.	—	2022	→
Molecular Link between Circadian Rhythmicity and Mood Disorders.	Faltraco F et al.	—	2022	→
Multi-Omics Characterization of Early- and Adult-Onset Major Depressive Disorder.	Grant CW et al.	—	2022	→
Neurobiological Highlights of Cognitive Impairment in Psychiatric Disorders.	Morozova A et al.	—	2022	→
New Insights on Gene by Environmental Effects of Drugs of Abuse in Animal Models Using GeneNetwork.	Chunduri A et al.	—	2022	→
Polygenic risk scores for schizophrenia and major depression are associated with socio-economic indicators of adversity in two British community samples.	Machlitt-Northen S et al.	—	2022	→
Precursors and correlates of transient and persistent longitudinal profiles of psychotic experiences from late childhood through early adulthood.	Rammos A et al.	—	2022	→
Predictive validity in drug discovery: what it is, why it matters and how to improve it.	Scannell JW et al.	—	2022	→
Reconstructing SNP allele and genotype frequencies from GWAS summary statistics.	Yang Z et al.	—	2022	→
Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression.	Talishinsky A et al.	—	2022	→
Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders.	Blokland GAM et al.	—	2022	→
Sex Difference in Global Burden of Major Depressive Disorder: Findings From the Global Burden of Disease Study 2019.	Li S et al.	—	2022	→
Sleep disturbance and psychiatric disorders: a bidirectional Mendelian randomisation study.	Sun X et al.	—	2022	→
The Gender-Specific Interaction of <i>DVL3</i> and <i>GSK3β</i> Polymorphisms on Major Depressive Disorder Susceptibility in a Chinese Han Population: A Case-Control Study.	Ke S et al.	—	2022	→
The Involvement of Long Non-coding RNA and Messenger RNA Based Molecular Networks and Pathways in the Subacute Phase of Traumatic Brain Injury in Adult Mice.	Yang Z et al.	—	2022	→
The Molecular Basis of Spinocerebellar Ataxia Type 7.	Goswami R et al.	—	2022	→
The Role of Sex in Genetic Association Studies of Depression.	Hoth KF et al.	—	2022	→
Understanding the genetics of peripartum depression: Research challenges, strategies, and opportunities.	Lancaster EE et al.	—	2022	→
A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts.	Ni G et al.	—	2021	→
American psychiatry in the new millennium: a critical appraisal.	Scull A	—	2021	→
An alternative approach to future diagnostic standards for major depressive disorder.	Kim YK et al.	—	2021	→
Association study of six candidate genes with major depressive disorder in the North-Western population of Pakistan.	Alam N et al.	—	2021	→
Cardiovascular Disease Risk Factors Among Children and Adolescents With Depression.	Korczak DJ et al.	—	2021	→
Causal links between major depressive disorder and insomnia: A Mendelian randomisation study.	Cai L et al.	—	2021	→
Cell-Type-Specific Gene Modules Related to the Regional Homogeneity of Spontaneous Brain Activity and Their Associations With Common Brain Disorders.	Shen J et al.	—	2021	→
Characterizing the effect of background selection on the polygenicity of brain-related traits.	Wendt FR et al.	—	2021	→
Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression.	Wu W et al.	—	2021	→
Discriminating Heterogeneous Trajectories of Resilience and Depression After Major Life Stressors Using Polygenic Scores.	Schultebraucks K et al.	—	2021	→
Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics.	Buch AM et al.	—	2021	→
Dissecting polygenic signals from genome-wide association studies on human behaviour.	Abdellaoui A et al.	—	2021	→
Effects of polygenic risk score, childhood trauma and resilience on depressive symptoms in Chinese adolescents in a three-year cohort study.	Shao N et al.	—	2021	→
Epigenetic prediction of major depressive disorder.	Barbu MC et al.	—	2021	→
Ferroptosis-Related Genes in Neurodevelopment and Central Nervous System.	Kim SW et al.	—	2021	→
Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex.	Mich JK et al.	—	2021	→
Genetically Proxied Diurnal Preference, Sleep Timing, and Risk of Major Depressive Disorder.	Daghlas I et al.	—	2021	→
Genetic analysis of endometriosis and depression identifies shared loci and implicates causal links with gastric mucosa abnormality.	Adewuyi EO et al.	—	2021	→
Genetic Architecture of Depression: Where Do We Stand Now?	Unal-Aydin P et al.	—	2021	→
Genetic Basis of Dual Diagnosis: A Review of Genome-Wide Association Studies (GWAS) Focusing on Patients with Mood or Anxiety Disorders and Co-Occurring Alcohol-Use Disorders.	Stoychev K et al.	—	2021	→
Genetic loci shared between major depression and intelligence with mixed directions of effect.	Bahrami S et al.	—	2021	→
Genetic markers for depressive disorders with earlier age at onset.	Kang HJ et al.	—	2021	→
Genetics of eating disorders in the genome-wide era.	Watson HJ et al.	—	2021	→
Genome-wide analysis of 53,400 people with irritable bowel syndrome highlights shared genetic pathways with mood and anxiety disorders.	Eijsbouts C et al.	—	2021	→
Genome-wide analysis suggests the importance of vascular processes and neuroinflammation in late-life antidepressant response.	Marshe VS et al.	—	2021	→
Genome-wide landscape of RNA-binding protein target site dysregulation reveals a major impact on psychiatric disorder risk.	Park CY et al.	—	2021	→
HPA-axis multilocus genetic profile score moderates the association between maternal prenatal perceived stress and offspring depression in early adulthood.	McKenna BG et al.	—	2021	→
Identification of pleiotropy at the gene level between psychiatric disorders and related traits.	Polushina T et al.	—	2021	→
Infant inhibited temperament in primates predicts adult behavior, is heritable, and is associated with anxiety-relevant genetic variation.	Fox AS et al.	—	2021	→
Inflammatory modulation of the associations between prenatal maternal depression and neonatal brain.	Wu Y et al.	—	2021	→
Locus of Control and Negative Cognitive Styles in Adolescence as Risk Factors for Depression Onset in Young Adulthood: Findings From a Prospective Birth Cohort Study.	Costantini I et al.	—	2021	→
Major Depressive Disorder: Advances in Neuroscience Research and Translational Applications.	Li Z et al.	—	2021	→
Multiple dimensions of stress vs. genetic effects on depression.	Kvarta MD et al.	—	2021	→
Multiple measures of depression to enhance validity of major depressive disorder in the UK Biobank.	Glanville KP et al.	—	2021	→
Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis.	Melhuish Beaupre LM et al.	—	2021	→
Prediction of Probable Major Depressive Disorder in the Taiwan Biobank: An Integrated Machine Learning and Genome-Wide Analysis Approach.	Lin E et al.	—	2021	→
Reviewing the Role of the Endocannabinoid System in the Pathophysiology of Depression.	Gallego-Landin I et al.	—	2021	→
Sex differences in the genetic regulation of the blood transcriptome response to glucocorticoid receptor activation.	Moore SR et al.	—	2021	→
Sex-differential DNA methylation and associated regulation networks in human brain implicated in the sex-biased risks of psychiatric disorders.	Xia Y et al.	—	2021	→
Shared transethnic genetic basis of panic disorder and psychiatric and related intermediate phenotypes.	Ohi K et al.	—	2021	→
Sleep and high-risk behavior in military service members: a mega-analysis of four diverse U.S. Army units.	Mantua J et al.	—	2021	→
The associations of CNR1 SNPs and haplotypes with vulnerability and treatment response phenotypes in Han Chinese with major depressive disorder: A case-control association study.	Yang C et al.	—	2021	→
The Candidate Schizophrenia Risk Gene <i>Tmem108</i> Regulates Glucose Metabolism Homeostasis.	Yu J et al.	—	2021	→
The genetic basis of major depression.	Kendall KM et al.	—	2021	→
The Genetics of Major Depression: Perspectives on the State of Research and Opportunities for Precision Medicine.	Peterson RE	—	2021	→
Therapy response prediction in major depressive disorder: current and novel genomic markers influencing pharmacokinetics and pharmacodynamics.	Shalimova A et al.	—	2021	→
The role of rs242941, rs1876828, rs242939 and rs110402 polymorphisms of CRHR1 gene and the depression: systematic review and meta-analysis.	Hernández-Díaz Y et al.	—	2021	→
Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study.	Martin-Key NA et al.	—	2021	→
What Have We Learned About the Genetics of Obsessive-Compulsive and Related Disorders in Recent Years?	Mattheisen M et al.	—	2021	→
A joint study of whole exome sequencing and structural MRI analysis in major depressive disorder.	Zhang Y et al.	—	2020	→
Analyzing the genes and pathways related to major depressive disorder via a systems biology approach.	Fan T et al.	—	2020	→
A polygenic predictor of treatment-resistant depression using whole exome sequencing and genome-wide genotyping.	Fabbri C et al.	—	2020	→
Association Analysis Between Common Variants of the <i>TRPM1</i> Gene and Three Mental Disorders in the Han Chinese Population.	Ma C et al.	—	2020	→
Association of FKBP5 genotype with depressive symptoms in patients with coronary heart disease: a prospective study.	Brandt J et al.	—	2020	→
A study combining whole-exome sequencing and structural neuroimaging analysis for major depressive disorder.	Han KM et al.	—	2020	→
Cannabis use, depression and self-harm: phenotypic and genetic relationships.	Hodgson K et al.	—	2020	→
Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders.	Dai Y et al.	—	2020	→
Common genetic risk variants identified in the SPARK cohort support DDHD2 as a candidate risk gene for autism.	Matoba N et al.	—	2020	→
Depression and coronary heart disease: 2018 position paper of the ESC working group on coronary pathophysiology and microcirculation.	Vaccarino V et al.	—	2020	→
Depression-like behaviors induced by defective PTPRT activity through dysregulated synaptic functions and neurogenesis.	Lim SH et al.	—	2020	→
Evidence for causal effects of lifetime smoking on risk for depression and schizophrenia: a Mendelian randomisation study.	Wootton RE et al.	—	2020	→
Genetic Contributions to Multivariate Data-Driven Brain Networks Constructed via Source-Based Morphometry.	Rodrigue AL et al.	—	2020	→
Genetic correlations between pain phenotypes and depression and neuroticism.	Meng W et al.	—	2020	→
Genetic heterogeneity in self-reported depressive symptoms identified through genetic analyses of the PHQ-9.	Thorp JG et al.	—	2020	→
Genetic liability in individuals at ultra-high risk of psychosis: A comparison study of 9 psychiatric traits.	Lim K et al.	—	2020	→
Genetics of resilience: Implications from genome-wide association studies and candidate genes of the stress response system in posttraumatic stress disorder and depression.	Maul S et al.	—	2020	→
Genetic stratification of depression by neuroticism: revisiting a diagnostic tradition.	Adams MJ et al.	—	2020	→
Genetic susceptibility, inflammation and specific types of depressive symptoms: evidence from the English Longitudinal Study of Ageing.	Frank P et al.	—	2020	→
Genome-wide association studies of antidepressant class response and treatment-resistant depression.	Li QS et al.	—	2020	→
Genome-Wide Association Study of Sleep Disturbances in Depressive Disorders.	Melhuish Beaupre LM et al.	—	2020	→
Genomic influences on self-reported childhood maltreatment.	Dalvie S et al.	—	2020	→
Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective.	Wendt FR et al.	—	2020	→
Human Herpesvirus 6B Greatly Increases Risk of Depression by Activating Hypothalamic-Pituitary -Adrenal Axis during Latent Phase of Infection.	Kobayashi N et al.	—	2020	→
Hypothalamic-pituitary-adrenal axis-related genes and cognition in major mood disorders and schizophrenia: a systematic review.	Ferrer A et al.	—	2020	→
Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer's disease.	Morabito S et al.	—	2020	→
Interactions Between Glycogen Synthase Kinase-3β Gene Polymorphisms, Negative Life Events, and Susceptibility to Major Depressive Disorder in a Chinese Population.	Yang J et al.	—	2020	→
Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism.	Satterstrom FK et al.	—	2020	→
Minimal phenotyping yields genome-wide association signals of low specificity for major depression.	Cai N et al.	—	2020	→
Nature and Nurture: Effects of Affective Temperaments on Depressive Symptoms Are Markedly Modified by Stress Exposure.	Gonda X et al.	—	2020	→
Neuroimaging Biomarkers for Predicting Treatment Response and Recurrence of Major Depressive Disorder.	Kang SG et al.	—	2020	→
Neuropsychological and Psychiatric Features of Children and Adolescents Affected With Mitochondrial Diseases: A Systematic Review.	Riquin E et al.	—	2020	→
Novel association between TGFA, TGFB1, IRF1, PTGS2 and IKBKB single-nucleotide polymorphisms and occurrence, severity and treatment response of major depressive disorder.	Bialek K et al.	—	2020	→
Partial Support for an Interaction Between a Polygenic Risk Score for Major Depressive Disorder and Prenatal Maternal Depressive Symptoms on Infant Right Amygdalar Volumes.	Acosta H et al.	—	2020	→
Peripheral Markers of Depression.	Nobis A et al.	—	2020	→
Precision medicine in perinatal depression in light of the human microbiome.	Peñalver Bernabé B et al.	—	2020	→
Regulatory mechanisms of major depressive disorder risk variants.	Li S et al.	—	2020	→
Sex differences in the genetic architecture of depression.	Kang HJ et al.	—	2020	→
Sex-specific association between infant caudate volumes and a polygenic risk score for major depressive disorder.	Acosta H et al.	—	2020	→
Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.	Ruderfer DM et al.	—	2020	→
SLC1A3 C3590T but not BDNF G196A is a predisposition factor for stress as well as depression, in an adolescent eastern Indian population.	Ghosh M et al.	—	2020	→
Sleep, major depressive disorder, and Alzheimer disease: A Mendelian randomization study.	Huang J et al.	—	2020	→
Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures.	Harris MA et al.	—	2020	→
Targeted exon sequencing in deceased schizophrenia patients in Denmark.	Espregueira Themudo G et al.	—	2020	→
The Emerging Role of LHb CaMKII in the Comorbidity of Depressive and Alcohol Use Disorders.	Shor C et al.	—	2020	→
The Netrin-1/DCC Guidance Cue Pathway as a Molecular Target in Depression: Translational Evidence.	Torres-Berrío A et al.	—	2020	→
Toward a framework for best practices and research guidelines for perinatal depression research.	Kimmel MC et al.	—	2020	→
Traumas and Their Consequences According to Control-Mastery Theory.	Fimiani R et al.	—	2020	→
Widespread Morphometric Abnormalities in Major Depression: Neuroplasticity and Potential for Biomarker Development.	Fu CHY et al.	—	2020	→
Addressing heterogeneity (and homogeneity) in treatment mechanisms in depression and the potential to develop diagnostic and predictive biomarkers.	Fu CHY et al.	—	2019	→
A genome-wide association study of shared risk across psychiatric disorders implicates gene regulation during fetal neurodevelopment.	Schork AJ et al.	—	2019	→
A model of human endogenous retrovirus (HERV) activation in mental health and illness.	Canli T	—	2019	→
A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol.	Adhikari BM et al.	—	2019	→
Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population.	Musliner KL et al.	—	2019	→
Association of Whole-Genome and NETRIN1 Signaling Pathway-Derived Polygenic Risk Scores for Major Depressive Disorder and White Matter Microstructure in the UK Biobank.	Barbu MC et al.	—	2019	→
Brexanolone, a neurosteroid antidepressant, vindicates the GABAergic deficit hypothesis of depression and may foster resilience.	Lüscher B et al.	—	2019	→
Cohort profile for the STratifying Resilience and Depression Longitudinally (STRADL) study: A depression-focused investigation of Generation Scotland, using detailed clinical, cognitive, and neuroimaging assessments.	Habota T et al.	—	2019	→
Comparative genetic architectures of schizophrenia in East Asian and European populations.	Lam M et al.	—	2019	→
Continuity of genetic and environmental influences on clinically assessed major depression from ages 18 to 45.	Torvik FA et al.	—	2019	→
Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome.	Postolache TT et al.	—	2019	→
Depression Depresses Vasodilation.	Joyner MJ	—	2019	→
Depression genetic risk score is associated with anhedonia-related markers across units of analysis.	Guffanti G et al.	—	2019	→
Depression in neurodegenerative diseases: Common mechanisms and current treatment options.	Galts CPC et al.	—	2019	→
Differential associations of depression-related phenotypes with cardiometabolic risks: Polygenic analyses and exploring shared genetic variants and pathways.	Wong BC et al.	—	2019	→
Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques.	Schmitz LL et al.	—	2019	→
Genetic Advance in Depressive Disorder.	Zhang C et al.	—	2019	→
Genetics of Eating Disorders: What the Clinician Needs to Know.	Bulik CM et al.	—	2019	→
Genome-wide analyses of psychological resilience in U.S. Army soldiers.	Stein MB et al.	—	2019	→
Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms.	Jones SE et al.	—	2019	→
Genome-wide association analysis reveals KCTD12 and miR-383-binding genes in the background of rumination.	Eszlari N et al.	—	2019	→
Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia.	Gialluisi A et al.	—	2019	→
Genome-Wide Association Study Detected Novel Susceptibility Genes for Schizophrenia and Shared Trans-Populations/Diseases Genetic Effect.	Ikeda M et al.	—	2019	→
Genome-wide Burden of Rare Short Deletions Is Enriched in Major Depressive Disorder in Four Cohorts.	Zhang X et al.	—	2019	→
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions.	Howard DM et al.	—	2019	→
Genomics of body fat percentage may contribute to sex bias in anorexia nervosa.	Hübel C et al.	—	2019	→
Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits.	Grotzinger AD et al.	—	2019	→
GWAS of Behavioral Traits.	Mehta D et al.	—	2019	→
HOPS: a quantitative score reveals pervasive horizontal pleiotropy in human genetic variation is driven by extreme polygenicity of human traits and diseases.	Jordan DM et al.	—	2019	→
HPA-axis multilocus genetic variation moderates associations between environmental stress and depressive symptoms among adolescents.	Starr LR et al.	—	2019	→
Human brain arousal in the resting state: a genome-wide association study.	Jawinski P et al.	—	2019	→
Insight into the genetic architecture of back pain and its risk factors from a study of 509,000 individuals.	Freidin MB et al.	—	2019	→
Integration of GWAS and brain eQTL identifies FLOT1 as a risk gene for major depressive disorder.	Zhong J et al.	—	2019	→
Integrative analyses of major histocompatibility complex loci in the genome-wide association studies of major depressive disorder.	Li H et al.	—	2019	→
Integrative analysis of Dupuytren's disease identifies novel risk locus and reveals a shared genetic etiology with BMI.	Major M et al.	—	2019	→
Introduction.	Fang Y et al.	—	2019	→
Mitochondria: A Connecting Link in the Major Depressive Disorder Jigsaw.	Sharma S et al.	—	2019	→
Moody microbiome: Challenges and chances.	Kuo PH et al.	—	2019	→
Multi-tissue transcriptome analyses identify genetic mechanisms underlying neuropsychiatric traits.	Gamazon ER et al.	—	2019	→
Multivariate analysis of genome-wide data to identify potential pleiotropic genes for five major psychiatric disorders using MetaCCA.	Jia X et al.	—	2019	→
Novel susceptibility genes were found in a targeted sequencing of stroke patients with or without depression in the Chinese Han population.	Fuying Z et al.	—	2019	→
Polygenic approaches to detect gene-environment interactions when external information is unavailable.	Lin WY et al.	—	2019	→
Polygenic risk for psychiatric disorders correlates with executive function in typical development.	Schork AJ et al.	—	2019	→
Polygenic Risk: Predicting Depression Outcomes in Clinical and Epidemiological Cohorts of Youths.	Halldorsdottir T et al.	—	2019	→
Powerful and Efficient Strategies for Genetic Association Testing of Symptom and Questionnaire Data in Psychiatric Genetic Studies.	Holleman AM et al.	—	2019	→
Practical recommendations to conduct a neuroimaging meta-analysis for neuropsychiatric disorders.	Tahmasian M et al.	—	2019	→
Predictors of depressive symptoms in college students: A systematic review and meta-analysis of cohort studies.	Liu Y et al.	—	2019	→
Progressing Polygenic Medicine in Psychiatry Through Electronic Health Records.	Lewis CM et al.	—	2019	→
Protein Biomarkers in Major Depressive Disorder: An Update.	Woods AG et al.	—	2019	→
Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder.	Trzaskowski M et al.	—	2019	→
Replicability analysis in genome-wide association studies via Cartesian hidden Markov models.	Wang P et al.	—	2019	→
Sex differences in the genetic architecture of obsessive-compulsive disorder.	Khramtsova EA et al.	—	2019	→
Shared Molecular Neuropathology Across Major Psychiatric Disorders Parallels Polygenic Overlap.	Gandal MJ et al.	—	2019	→
Systems Approach to Identify Common Genes and Pathways Associated with Response to Selective Serotonin Reuptake Inhibitors and Major Depression Risk.	Srivastava A et al.	—	2019	→
The association of depression and anxiety with cardiac autonomic activity: The role of confounding effects of antidepressants.	Hu MX et al.	—	2019	→
The bidirectional causal relationships of insomnia with five major psychiatric disorders: A Mendelian randomization study.	Gao X et al.	—	2019	→
The effect of genetic vulnerability and military deployment on the development of post-traumatic stress disorder and depressive symptoms.	Schür RR et al.	—	2019	→
The genetic relationship between female reproductive traits and six psychiatric disorders.	Ni G et al.	—	2019	→
The involvement of sleep in the relationship between the serotonin transporter gene-linked polymorphic region (5-HTTLPR) and depression: A systematic review.	van Dalfsen JH et al.	—	2019	→
The role of the individual in the coming era of process-based therapy.	Hayes SC et al.	—	2019	→
The Translational Potential of Neuroimaging Genomic Analyses To Diagnosis And Treatment In The Mental Disorders.	Chen J et al.	—	2019	→
Transmembrane protein 108 involves in adult neurogenesis in the hippocampal dentate gyrus.	Yu Z et al.	—	2019	→
Uncovering the Genetic Architecture of Major Depression.	McIntosh AM et al.	—	2019	→
Unraveling the genetic architecture of major depressive disorder: merits and pitfalls of the approaches used in genome-wide association studies.	Schwabe I et al.	—	2019	→
Using Mendelian randomisation to assess causality in observational studies.	Pagoni P et al.	—	2019	→
Vitamin D and the Risk of Depression: A Causal Relationship? Findings from a Mendelian Randomization Study.	Libuda L et al.	—	2019	→
Absence of <i>Wdr13</i> Gene Predisposes Mice to Mild Social Isolation - Chronic Stress, Leading to Depression-Like Phenotype Associated With Differential Expression of Synaptic Proteins.	Mitra S et al.	—	2018	→
A case-control genome-wide association study of ADHD discovers a novel association with the tenascin R (TNR) gene.	Hawi Z et al.	—	2018	→
Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method.	Zhang Q et al.	—	2018	→
A direct test of the diathesis-stress model for depression.	Colodro-Conde L et al.	—	2018	→
An Argument for the Foundations of Population Mental Health.	Sampson L et al.	—	2018	→
A rare missense variant in RCL1 segregates with depression in extended families.	Amin N et al.	—	2018	→
Association between a functional interleukin 6 receptor genetic variant and risk of depression and psychosis in a population-based birth cohort.	Khandaker GM et al.	—	2018	→
Association of copy number variation across the genome with neuropsychiatric traits in the general population.	Guyatt AL et al.	—	2018	→
Association of Genetic Variation at <i>AQP4</i> Locus with Vascular Depression.	Westermair AL et al.	—	2018	→
Association of Methylation Signals With Incident Coronary Heart Disease in an Epigenome-Wide Assessment of Circulating Tumor Necrosis Factor α.	Aslibekyan S et al.	—	2018	→
A systematic review of genome-wide research on psychotic experiences and negative symptom traits: new revelations and implications for psychiatry.	Ronald A et al.	—	2018	→
Beta-defensin 1, aryl hydrocarbon receptor and plasma kynurenine in major depressive disorder: metabolomics-informed genomics.	Liu D et al.	—	2018	→
Biomarkers for Depression: Recent Insights, Current Challenges and Future Prospects.	Strawbridge R et al.	—	2018	→
Circulating vitamin E levels and Alzheimer's disease: a Mendelian randomization study.	Liu G et al.	—	2018	→
Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression.	Culverhouse RC et al.	—	2018	→
Commentary for Special Issue of Prevention Science "Using Genetics in Prevention: Science Fiction or Science Fact?"	Dick DM	—	2018	→
Common variants on 6q16.2, 12q24.31 and 16p13.3 are associated with major depressive disorder.	Li X et al.	—	2018	→
Comparative Evaluation of Machine Learning Strategies for Analyzing Big Data in Psychiatry.	Cao H et al.	—	2018	→
Comparative genomic evidence for the involvement of schizophrenia risk genes in antipsychotic effects.	Kim Y et al.	—	2018	→
Comprehensive cross-disorder analyses of CNTNAP2 suggest it is unlikely to be a primary risk gene for psychiatric disorders.	Toma C et al.	—	2018	→
Cross-species evidence from human and rat brain transcriptome for growth factor signaling pathway dysregulation in major depression.	Carboni L et al.	—	2018	→
Depression.	Malhi GS et al.	—	2018	→
Diagnostic and genetic overlap of three common mental disorders in structured interviews and health registries.	Torvik FA et al.	—	2018	→
DNA methylation and clinical response to antidepressant medication in major depressive disorder: A review and recommendations.	Lisoway AJ et al.	—	2018	→
DNA Methylation Signatures of Depressive Symptoms in Middle-aged and Elderly Persons: Meta-analysis of Multiethnic Epigenome-wide Studies.	Story Jovanova O et al.	—	2018	→
DNA sequence-level analyses reveal potential phenotypic modifiers in a large family with psychiatric disorders.	Ryan NM et al.	—	2018	→
Dvl3 polymorphism interacts with life events and pro-inflammatory cytokines to influence major depressive disorder susceptibility.	Zhang J et al.	—	2018	→
Dysregulation of the Lateral Habenula in Major Depressive Disorder.	Browne CA et al.	—	2018	→
Family History as an Important Factor for Stratifying Participants in Genetic Studies of Major Depression.	Zalar B et al.	—	2018	→
FoxO1, A2M, and TGF-β1: three novel genes predicting depression in gene X environment interactions are identified using cross-species and cross-tissues transcriptomic and miRNomic analyses.	Cattaneo A et al.	—	2018	→
Further Evidence of an Association between <i>NCAN</i> rs1064395 and Bipolar Disorder.	Wang L et al.	—	2018	→
Genetic association and meta-analysis of a schizophrenia GWAS variant rs10489202 in East Asian populations.	Yang Y et al.	—	2018	→
Genetic contribution to 'theory of mind' in adolescence.	Warrier V et al.	—	2018	→
Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association data.	Tylee DS et al.	—	2018	→
Genetic risk of major depressive disorder: the moderating and mediating effects of neuroticism and psychological resilience on clinical and self-reported depression.	Navrady LB et al.	—	2018	→
Genetic Risks for Chronic Conditions: Implications for Long-term Wellbeing.	Wehby GL et al.	—	2018	→
Genetics Factors in Major Depression Disease.	Shadrina M et al.	—	2018	→
Genetic Study of White Matter Integrity in UK Biobank (N=8448) and the Overlap With Stroke, Depression, and Dementia.	Rutten-Jacobs LCA et al.	—	2018	→
Genome-wide analysis of adolescent psychotic-like experiences shows genetic overlap with psychiatric disorders.	Pain O et al.	—	2018	→
Genome-wide analysis of insomnia disorder.	Stein MB et al.	—	2018	→
Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort.	Strawbridge RJ et al.	—	2018	→
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.	Wray NR et al.	—	2018	→
Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways.	Howard DM et al.	—	2018	→
Genome-wide association study of depressive symptoms in the Hispanic Community Health Study/Study of Latinos.	Dunn EC et al.	—	2018	→
Genome-Wide DNA Methylation Changes Associated with Intermittent Explosive Disorder: A Gene-Based Functional Enrichment Analysis.	Montalvo-Ortiz JL et al.	—	2018	→
Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank.	Hall LS et al.	—	2018	→
Genome-wide scan of depressive symptomatology in two representative cohorts in the United States and the United Kingdom.	Mekli K et al.	—	2018	→
Geographic Clustering of Polygenic Scores at Different Stages of the Life Course.	Domingue BW et al.	—	2018	→
Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traits.	Qi G et al.	—	2018	→
How can genetics help understand the relationship between cognitive dysfunction and schizophrenia?	Smeland OB et al.	—	2018	→
Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue.	Bhalala OG et al.	—	2018	→
Imaging and Genetic Biomarkers Predicting Transition to Psychosis.	Hunter SA et al.	—	2018	→
Interaction between childhood maltreatment on immunogenetic risk in depression: Discovery and replication in clinical case-control samples.	Cohen-Woods S et al.	—	2018	→
Issues on the diagnosis and etiopathogenesis of mood disorders: reconsidering DSM-5.	Ogasawara K et al.	—	2018	→
Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability.	Duncan LE et al.	—	2018	→
Local adaptation in European populations affected the genetics of psychiatric disorders and behavioral traits.	Polimanti R et al.	—	2018	→
Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways.	Nagel M et al.	—	2018	→
Method to estimate the approximate samples size that yield a certain number of significant GWAS signals in polygenic traits.	Bacanu SA et al.	—	2018	→
Molecular Genetic Analysis Subdivided by Adversity Exposure Suggests Etiologic Heterogeneity in Major Depression.	Peterson RE et al.	—	2018	→
Molecular genetic overlap between migraine and major depressive disorder.	Yang Y et al.	—	2018	→
Multi-trait analysis of genome-wide association summary statistics using MTAG.	Turley P et al.	—	2018	→
Neurobiological substrates underlying the effect of genomic risk for depression on the conversion of amnestic mild cognitive impairment.	Xu J et al.	—	2018	→
Neuropeptide and Small Transmitter Coexistence: Fundamental Studies and Relevance to Mental Illness.	Hökfelt T et al.	—	2018	→
Offspring of parents with mood disorders: time for more transgenerational research, screening and preventive intervention for this high-risk population.	Maciejewski D et al.	—	2018	→
Partial loss of psychiatric risk gene Mir137 in mice causes repetitive behavior and impairs sociability and learning via increased Pde10a.	Cheng Y et al.	—	2018	→
Phenotype-Specific Enrichment of Mendelian Disorder Genes near GWAS Regions across 62 Complex Traits.	Freund MK et al.	—	2018	→
Phenotypic and genetic analysis of cognitive performance in Major Depressive Disorder in the Generation Scotland: Scottish Family Health Study.	Meijsen JJ et al.	—	2018	→
PolyGEE: a generalized estimating equation approach to the efficient and robust estimation of polygenic effects in large-scale association studies.	Hecker J et al.	—	2018	→
Polygenic Risk for Depression Increases Risk of Ischemic Stroke: From the Stroke Genetics Network Study.	Wassertheil-Smoller S et al.	—	2018	→
Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences.	Bogdan R et al.	—	2018	→
Polygenic risk score: use in migraine research.	Chalmer MA et al.	—	2018	→
PPD ACT: an app-based genetic study of postpartum depression.	Guintivano J et al.	—	2018	→
Precision pharmacotherapy: psychiatry's future direction in preventing, diagnosing, and treating mental disorders.	Menke A	—	2018	→
PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores.	Chen LM et al.	—	2018	→
Replicable and Coupled Changes in Innate and Adaptive Immune Gene Expression in Two Case-Control Studies of Blood Microarrays in Major Depressive Disorder.	Leday GGR et al.	—	2018	→
Replication in Imaging Genetics: The Case of Threat-Related Amygdala Reactivity.	Avinun R et al.	—	2018	→
Rigor and reproducibility in genetic research on eating disorders.	Hübel C et al.	—	2018	→
Sample Size for Successful Genome-Wide Association Study of Major Depressive Disorder.	Nishino J et al.	—	2018	→
Serotonin in psychiatry: in vitro disease modeling using patient-derived neurons.	Vadodaria KC et al.	—	2018	→
Shared genetic etiology between alcohol dependence and major depressive disorder.	Foo JC et al.	—	2018	→
Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap.	Gandal MJ et al.	—	2018	→
The cAMP responsive element-binding (CREB)-1 gene increases risk of major psychiatric disorders.	Xiao X et al.	—	2018	→
The effect of 5-HTTLPR and a serotonergic multi-marker score on amygdala, prefrontal and anterior cingulate cortex reactivity and habituation in a large, healthy fMRI cohort.	Piel JH et al.	—	2018	→
The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder.	Xiao X et al.	—	2018	→
The GWAS Risk Genes for Depression May Be Actively Involved in Alzheimer's Disease.	Ni H et al.	—	2018	→
The Impact of COMT and Childhood Maltreatment on Suicidal Behaviour in Affective Disorders.	Bernegger A et al.	—	2018	→
The impact of schizophrenia and mood disorder risk alleles on emotional problems: investigating change from childhood to middle age.	Riglin L et al.	—	2018	→
The multimodal antidepressant vortioxetine may facilitate pyramidal cell firing by inhibition of 5-HT<sub>3</sub> receptor expressing interneurons: An in vitro study in rat hippocampus slices.	Dale E et al.	—	2018	→
The P2RX7 polymorphism rs2230912 is associated with depression: A meta-analysis.	Czamara D et al.	—	2018	→
The protocadherin 17 gene affects cognition, personality, amygdala structure and function, synapse development and risk of major mood disorders.	Chang H et al.	—	2018	→
The role of CLOCK gene in psychiatric disorders: Evidence from human and animal research.	Schuch JB et al.	—	2018	→
The role of genetic variation of human metabolism for BMI, mental traits and mental disorders.	Hebebrand J et al.	—	2018	→
The use of polygenic risk scores to identify phenotypes associated with genetic risk of bipolar disorder and depression: A systematic review.	Mistry S et al.	—	2018	→
TPH-2 Gene Polymorphism in Major Depressive Disorder Patients With Early-Wakening Symptom.	Tao S et al.	—	2018	→
Trauma exposure interacts with the genetic risk of bipolar disorder in alcohol misuse of US soldiers.	Polimanti R et al.	—	2018	→
Treatment resistant depression: A multi-scale, systems biology approach.	Akil H et al.	—	2018	→
Tulsa 1000: a naturalistic study protocol for multilevel assessment and outcome prediction in a large psychiatric sample.	Victor TA et al.	—	2018	→
Understanding the pathophysiology of depression: From monoamines to the neurogenesis hypothesis model - are we there yet?	Jesulola E et al.	—	2018	→
Variability in Resting State Network and Functional Network Connectivity Associated With Schizophrenia Genetic Risk: A Pilot Study.	Chen J et al.	—	2018	→
XPAT: a toolkit to conduct cross-platform association studies with heterogeneous sequencing datasets.	Yu Y et al.	—	2018	→
A bidirectional relationship between depression and the autoimmune disorders - New perspectives from the National Child Development Study.	Euesden J et al.	—	2017	→
A Combined Pathway and Regional Heritability Analysis Indicates NETRIN1 Pathway Is Associated With Major Depressive Disorder.	Zeng Y et al.	—	2017	→
A comprehensive regional analysis of genome-wide expression profiles for major depressive disorder.	Forero DA et al.	—	2017	→
A continuum of genetic liability for minor and major depression.	Corfield EC et al.	—	2017	→
Adolescent depression linked to socioeconomic status? Molecular approaches for revealing premorbid risk factors.	Uddin M et al.	—	2017	→
Analysis of genome-wide association data highlights candidates for drug repositioning in psychiatry.	So HC et al.	—	2017	→
An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype.	Direk N et al.	—	2017	→
Ancestry-specific and sex-specific risk alleles identified in a genome-wide gene-by-alcohol dependence interaction study of risky sexual behaviors.	Polimanti R et al.	—	2017	→
A New Hope for Biological Insights Into Depression.	Hyman SE	—	2017	→
An examination of the etiologic overlap between the genetic and environmental influences on insomnia and common psychopathology.	Lind MJ et al.	—	2017	→
Assessing the presence of shared genetic architecture between Alzheimer's disease and major depressive disorder using genome-wide association data.	Gibson J et al.	—	2017	→
Association between neuropeptide Y receptor Y2 promoter variant rs6857715 and major depressive disorder.	Treutlein J et al.	—	2017	→
Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study.	Telomeres Mendelian Randomization Collaboration et al.	—	2017	→
Association of polygenic risk for major psychiatric illness with subcortical volumes and white matter integrity in UK Biobank.	Reus LM et al.	—	2017	→
Association study of <i>MIF</i> promoter polymorphisms with suicide completers in the Japanese population.	Shimmyo N et al.	—	2017	→
Biomarkers for depression: recent insights, current challenges and future prospects.	Strawbridge R et al.	—	2017	→
Can clinical subtypes contribute to genetic studies on major depression?	Caldieraro MA et al.	—	2017	→
Case-control association mapping by proxy using family history of disease.	Liu JZ et al.	—	2017	→
Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning.	Yarkoni T et al.	—	2017	→
Common variants at 2q11.2, 8q21.3, and 11q13.2 are associated with major mood disorders.	Xiao X et al.	—	2017	→
Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies.	Jiang W et al.	—	2017	→
Copy Number Variation in Syndromic Forms of Psychiatric Illness: The Emerging Value of Clinical Genetic Testing in Psychiatry.	Bouwkamp CG et al.	—	2017	→
Cross-Phenotype Polygenic Risk Score Analysis of Persistent Post-Concussive Symptoms in U.S. Army Soldiers with Deployment-Acquired Traumatic Brain Injury.	Polimanti R et al.	—	2017	→
Do regional brain volumes and major depressive disorder share genetic architecture? A study of Generation Scotland (n=19 762), UK Biobank (n=24 048) and the English Longitudinal Study of Ageing (n=5766).	Wigmore EM et al.	—	2017	→
Effects of Antenatal Maternal Depressive Symptoms and Socio-Economic Status on Neonatal Brain Development are Modulated by Genetic Risk.	Qiu A et al.	—	2017	→
Epigenetic and genetic variants in the HTR1B gene and clinical improvement in children and adolescents treated with fluoxetine.	Gassó P et al.	—	2017	→
Epigenomics of Major Depressive Disorders and Schizophrenia: Early Life Decides.	Hoffmann A et al.	—	2017	→
Erratum: Resting-state connectivity biomarkers define neurophysiological subtypes of depression.	Drysdale AT et al.	—	2017	→
Evidence for genetic heterogeneity between clinical subtypes of bipolar disorder.	Charney AW et al.	—	2017	→
Exome-sequencing in a large population-based study reveals a rare Asn396Ser variant in the LIPG gene associated with depressive symptoms.	Amin N et al.	—	2017	→
Expert and self-assessment of lifetime symptoms and diagnosis of major depressive disorder in large-scale genetic studies in the general population: comparison of a clinical interview and a self-administered checklist.	Martin J et al.	—	2017	→
Exploring the predictive power of polygenic scores derived from genome-wide association studies: a study of 10 complex traits.	So HC et al.	—	2017	→
Expression quantitative trait loci (eQTLs) in human placentas suggest developmental origins of complex diseases.	Peng S et al.	—	2017	→
Gene-based interaction analysis shows GABAergic genes interacting with parenting in adolescent depressive symptoms.	Van Assche E et al.	—	2017	→
Gene × Environment Interactions: From Molecular Mechanisms to Behavior.	Halldorsdottir T et al.	—	2017	→
Genetic Approaches to Understanding Psychiatric Disease.	Michaelson JJ	—	2017	→
Genetic Contributions of Inflammation to Depression.	Barnes J et al.	—	2017	→
Genetic correlation between amyotrophic lateral sclerosis and schizophrenia.	McLaughlin RL et al.	—	2017	→
Genetic effects influencing risk for major depressive disorder in China and Europe.	Bigdeli TB et al.	—	2017	→
Genetic Heterogeneity in Depressive Symptoms Following the Death of a Spouse: Polygenic Score Analysis of the U.S. Health and Retirement Study.	Domingue BW et al.	—	2017	→
Genetics of Depression: Progress at Last.	Mullins N et al.	—	2017	→
Genetics of depressive symptoms in adolescence.	Sallis H et al.	—	2017	→
Gene-wide Association Study Reveals RNF122 Ubiquitin Ligase as a Novel Susceptibility Gene for Attention Deficit Hyperactivity Disorder.	Garcia-Martínez I et al.	—	2017	→
Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders.	Lo MT et al.	—	2017	→
Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia.	Ward J et al.	—	2017	→
Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium.	Power RA et al.	—	2017	→
Genomewide association studies of suicide attempts in US soldiers.	Stein MB et al.	—	2017	→
Genome-wide association study of facial emotion recognition in children and association with polygenic risk for mental health disorders.	Coleman JRI et al.	—	2017	→
Genome-Wide Association Study of Loneliness Demonstrates a Role for Common Variation.	Gao J et al.	—	2017	→
Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK Biobank.	Howard DM et al.	—	2017	→
Genome-wide Regional Heritability Mapping Identifies a Locus Within the TOX2 Gene Associated With Major Depressive Disorder.	Zeng Y et al.	—	2017	→
Heterogeneity in polygenic scores for common human traits	Ware EB et al.	—	2017	—
High-Coverage Whole-Exome Sequencing Identifies Candidate Genes for Suicide in Victims with Major Depressive Disorder.	Tombácz D et al.	—	2017	→
Highly polygenic architecture of antidepressant treatment response: Comparative analysis of SSRI and NRI treatment in an animal model of depression.	Malki K et al.	—	2017	→
HLA-DPB1 variant rs3117242 is associated with anti-neutrophil cytoplasmic antibody-associated vasculitides in a Han Chinese population.	Wu Z et al.	—	2017	→
HPA Axis Genes, and Their Interaction with Childhood Maltreatment, are Related to Cortisol Levels and Stress-Related Phenotypes.	Gerritsen L et al.	—	2017	→
Huntingtin gene repeat size variations affect risk of lifetime depression.	Gardiner SL et al.	—	2017	→
Inference in the age of big data: Future perspectives on neuroscience.	Bzdok D et al.	—	2017	→
Interaction between the <i>FTO</i> gene, body mass index and depression: meta-analysis of 13701 individuals.	Rivera M et al.	—	2017	→
Intergenerational Transmission of Maternal Childhood Maltreatment Exposure: Implications for Fetal Brain Development.	Buss C et al.	—	2017	→
Investigating shared aetiology between type 2 diabetes and major depressive disorder in a population based cohort.	Clarke TK et al.	—	2017	→
Investigating the genetic underpinnings of early-life irritability.	Riglin L et al.	—	2017	→
Investigating the relationship between iron and depression.	Mills NT et al.	—	2017	→
Large normal-range TBP and ATXN7 CAG repeat lengths are associated with increased lifetime risk of depression.	Gardiner SL et al.	—	2017	→
LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis.	Zheng J et al.	—	2017	→
Methylomic profiling of cortex samples from completed suicide cases implicates a role for PSORS1C3 in major depression and suicide.	Murphy TM et al.	—	2017	→
Mild traumatic brain injury is associated with reduced cortical thickness in those at risk for Alzheimer's disease.	Hayes JP et al.	—	2017	→
Multiple Testing in the Context of Gene Discovery in Sickle Cell Disease Using Genome-Wide Association Studies.	Kuo KHM	—	2017	→
Neurocognitive performance as an endophenotype for mood disorder subgroups.	Merikangas AK et al.	—	2017	→
Neuronal-expressed microRNA-targeted pseudogenes compete with coding genes in the human brain.	Barbash S et al.	—	2017	→
New directions for the treatment of depression: Targeting the photic regulation of arousal and mood (PRAM) pathway.	Bowrey HE et al.	—	2017	→
Personalized medicine: Genetic risk prediction of drug response.	Zhang G et al.	—	2017	→
Personalized medicine in psychiatry.	Wium-Andersen IK et al.	—	2017	→
Pharmacogenetics of antidepressant response: A polygenic approach.	García-González J et al.	—	2017	→
Plasma levels of the anti-coagulation protein C and the risk of ischaemic heart disease. A Mendelian randomisation study.	Schooling CM et al.	—	2017	→
Pleiotropic Effects of Trait-Associated Genetic Variation on DNA Methylation: Utility for Refining GWAS Loci.	Hannon E et al.	—	2017	→
Polygenic risk for depression and the neural correlates of working memory in healthy subjects.	Yüksel D et al.	—	2017	→
Polygenic risk for five psychiatric disorders and cross-disorder and disorder-specific neural connectivity in two independent populations.	Wang T et al.	—	2017	→
Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence.	Andersen AM et al.	—	2017	→
Polymorphism of ERK/PTPRR Genes in Major Depressive Disorder at Resting-State Brain Function.	Wang Y et al.	—	2017	→
Posttraumatic stress disorder symptom severity is associated with reduced default mode network connectivity in individuals with elevated genetic risk for psychopathology.	Miller DR et al.	—	2017	→
Predicting Cognitive Executive Functioning with Polygenic Risk Scores for Psychiatric Disorders.	Benca CE et al.	—	2017	→
Reproductive fitness and genetic risk of psychiatric disorders in the general population.	Mullins N et al.	—	2017	→
Resting-state connectivity biomarkers define neurophysiological subtypes of depression.	Drysdale AT et al.	—	2017	→
Runs of homozygosity, copy number variation, and risk for depression and suicidal behavior in an Arab Bedouin kindred.	Melhem NM et al.	—	2017	→
Significant Need for a French Network of Expert Centers Enabling a Better Characterization and Management of Treatment-Resistant Depression (Fondation FondaMental).	Yrondi A et al.	—	2017	→
Social inequality, scientific inequality, and the future of mental illness.	Dean CE	—	2017	→
Spatial and temporal expression patterns of genes around nine neuroticism-associated loci.	Ohi K et al.	—	2017	→
Stability and change in etiological factors for alcohol use disorder and major depression.	Torvik FA et al.	—	2017	→
Statistical methods to detect pleiotropy in human complex traits.	Hackinger S et al.	—	2017	→
Summaries of plenary and selected symposia sessions at the XXIV World Congress of Psychiatric Genetics; Jerusalem, Israel; 30 October 2016-3 November 2016.	Ciobanu LG et al.	—	2017	→
Systematic review and meta-analysis of genetic studies of late-life depression.	Tsang RS et al.	—	2017	→
The association of childhood maltreatment with depression and anxiety is not moderated by the oxytocin receptor gene.	Tollenaar MS et al.	—	2017	→
The Association of Cigarette Smoking With Depression and Anxiety: A Systematic Review.	Fluharty M et al.	—	2017	→
The Association of Genetic Predisposition to Depressive Symptoms with Non-suicidal and Suicidal Self-Injuries.	Maciejewski DF et al.	—	2017	→
The Genetic Architecture of Major Depressive Disorder in Han Chinese Women.	Peterson RE et al.	—	2017	→
The genetic basis of the comorbidity between cannabis use and major depression.	Hodgson K et al.	—	2017	→
The NCAM1 gene set is linked to depressive symptoms and their brain structural correlates in healthy individuals.	Petrovska J et al.	—	2017	→
The PHF21B gene is associated with major depression and modulates the stress response.	Wong ML et al.	—	2017	→
The Relationship Between Mental Health, Disease Severity, and Genetic Risk for Depression in Early Rheumatoid Arthritis.	Euesden J et al.	—	2017	→
The utility of empirically assigning ancestry groups in cross-population genetic studies of addiction.	Peterson RE et al.	—	2017	→
Thyroid function and ischemic heart disease: a Mendelian randomization study.	Zhao JV et al.	—	2017	→
Uncoupling protein 2 haplotype does not affect human brain structure and function in a sample of community-dwelling older adults.	Heise V et al.	—	2017	→
Using Clinical Characteristics to Identify Which Patients With Major Depressive Disorder Have a Higher Genetic Load for Three Psychiatric Disorders.	Verduijn J et al.	—	2017	→
Validity of LIDAS (LIfetime Depression Assessment Self-report): a self-report online assessment of lifetime major depressive disorder.	Bot M et al.	—	2017	→
Why is depression more common among women than among men?	Kuehner C	—	2017	→
Widespread signatures of positive selection in common risk alleles associated to autism spectrum disorder.	Polimanti R et al.	—	2017	→
A current snapshot of common genomic variants contribution in psychiatric disorders.	Santoro ML et al.	—	2016	→
Age-Dependent Pleiotropy Between General Cognitive Function and Major Psychiatric Disorders.	Hill WD et al.	—	2016	→
A haplotype in the 5'-upstream region of the NDUFV2 gene is associated with major depressive disorder in Han Chinese.	Zhang Z et al.	—	2016	→
Alterations in the neuropeptide galanin system in major depressive disorder involve levels of transcripts, methylation, and peptide.	Barde S et al.	—	2016	→
A method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseases.	Han B et al.	—	2016	→
Analysis of 23andMe antidepressant efficacy survey data: implication of circadian rhythm and neuroplasticity in bupropion response.	Li QS et al.	—	2016	→
An epigenetic resolution of the lek paradox.	Bonilla MM et al.	—	2016	→
Association of ATP6V1B2 rs1106634 with lifetime risk of depression and hippocampal neurocognitive deficits: possible novel mechanisms in the etiopathology of depression.	Gonda X et al.	—	2016	→
Association of Genetic Risk Variants With Attention-Deficit/Hyperactivity Disorder Trajectories in the General Population.	Riglin L et al.	—	2016	→
Assortative mating and differential fertility by phenotype and genotype across the 20th century.	Conley D et al.	—	2016	→
BDNF Val66Met polymorphism and bipolar disorder in European populations: A risk association in case-control, family-based and GWAS studies.	Li M et al.	—	2016	→
Body mass index and psychiatric disorders: a Mendelian randomization study.	Hartwig FP et al.	—	2016	→
Changing Polygenic Penetrance on Phenotypes in the 20(th) Century Among Adults in the US Population.	Conley D et al.	—	2016	→
Common variants in CACNA1C and MDD susceptibility: A comprehensive meta-analysis.	Rao S et al.	—	2016	→
Common variants in FKBP5 gene and major depressive disorder (MDD) susceptibility: a comprehensive meta-analysis.	Rao S et al.	—	2016	→
Computational meta-analysis of statistical parametric maps in major depression.	Arnone D et al.	—	2016	→
Consistently altered expression of gene sets in postmortem brains of individuals with major psychiatric disorders.	Darby MM et al.	—	2016	→
Decoding the non-coding genome: elucidating genetic risk outside the coding genome.	Barr CL et al.	—	2016	→
Depression as a risk factor for Alzheimer's disease: Genes, steroids, cytokines and neurogenesis - What do we need to know?	Herbert J et al.	—	2016	→
Depression, marijuana use and early-onset marijuana use conferred unique effects on neural connectivity and cognition.	Osuch EA et al.	—	2016	→
DISC1 as a Possible Genetic Contribution to Opioid Dependence in a Polish Sample.	Fudalej S et al.	—	2016	→
Disease and Polygenic Architecture: Avoid Trio Design and Appropriately Account for Unscreened Control Subjects for Common Disease.	Peyrot WJ et al.	—	2016	→
Distinct effects of folate pathway genes MTHFR and MTHFD1L on ruminative response style: a potential risk mechanism for depression.	Eszlari N et al.	—	2016	→
DNA co-methylation modules in postmortem prefrontal cortex tissues of European Australians with alcohol use disorders.	Wang F et al.	—	2016	→
Effect of the interaction between childhood abuse and rs1360780 of the FKBP5 gene on gray matter volume in a general population sample.	Grabe HJ et al.	—	2016	→
Effects of corticotropin-releasing hormone receptor 1 SNPs on major depressive disorder are influenced by sex and smoking status.	da Silva BS et al.	—	2016	→
Epigenetic differences in monozygotic twins discordant for major depressive disorder.	Malki K et al.	—	2016	→
Epigenetic Modifications of Major Depressive Disorder.	Saavedra K et al.	—	2016	→
Estimating Effect Sizes and Expected Replication Probabilities from GWAS Summary Statistics.	Holland D et al.	—	2016	→
Gene and Network Analysis of Common Variants Reveals Novel Associations in Multiple Complex Diseases.	Nakka P et al.	—	2016	→
Gene × Environment Determinants of Stress- and Anxiety-Related Disorders.	Sharma S et al.	—	2016	→
Gene expression in major depressive disorder.	Jansen R et al.	—	2016	→
Genetical Genomics of Behavior: A Novel Chicken Genomic Model for Anxiety Behavior.	Johnsson M et al.	—	2016	→
Genetically reduced FAAH activity may be a risk for the development of anxiety and depression in persons with repetitive childhood trauma.	Lazary J et al.	—	2016	→
Genetic and environmental components of female depression as a function of the severity of the disorder.	Rusby JS et al.	—	2016	→
Genetic and Environmental Factors Associated with Cannabis Involvement.	Bogdan R et al.	—	2016	→
Genetic and Environmental Risk for Chronic Pain and the Contribution of Risk Variants for Major Depressive Disorder: A Family-Based Mixed-Model Analysis.	McIntosh AM et al.	—	2016	→
Genetic and Functional Study of L-Type Amino Acid Transporter 1 in Schizophrenia.	Comasco E et al.	—	2016	→
Genetic Correlation Analysis Suggests Association between Increased Self-Reported Sleep Duration in Adults and Schizophrenia and Type 2 Diabetes.	Byrne EM et al.	—	2016	→
Genetic epidemiology of migraine and depression.	Yang Y et al.	—	2016	→
Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis.	Ji HF et al.	—	2016	→
Genetic Pathways to Insomnia.	Lind MJ et al.	—	2016	→
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses.	Okbay A et al.	—	2016	→
Genetic variants linked to education predict longevity.	Marioni RE et al.	—	2016	→
Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci.	Smith DJ et al.	—	2016	→
Genome-wide association analysis of pain severity in dysmenorrhea identifies association at chromosome 1p13.2, near the nerve growth factor locus.	Jones AV et al.	—	2016	→
Genome-Wide Association of Heroin Dependence in Han Chinese.	Kalsi G et al.	—	2016	→
Genome-wide Association Studies of Posttraumatic Stress Disorder in 2 Cohorts of US Army Soldiers.	Stein MB et al.	—	2016	→
GENOME-WIDE ASSOCIATION STUDY (GWAS) AND GENOME-WIDE BY ENVIRONMENT INTERACTION STUDY (GWEIS) OF DEPRESSIVE SYMPTOMS IN AFRICAN AMERICAN AND HISPANIC/LATINA WOMEN.	Dunn EC et al.	—	2016	→
Genome-wide association study of response to cognitive-behavioural therapy in children with anxiety disorders.	Coleman JR et al.	—	2016	→
Genome-wide association study reveals greater polygenic loading for schizophrenia in cases with a family history of illness.	Bigdeli TB et al.	—	2016	→
Genome-wide linkage on chromosome 10q26 for a dimensional scale of major depression.	Knowles EE et al.	—	2016	→
Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication.	Quintana DS et al.	—	2016	→
Habitual coffee consumption and risk of type 2 diabetes, ischemic heart disease, depression and Alzheimer's disease: a Mendelian randomization study.	Kwok MK et al.	—	2016	→
Heritability and Genome-Wide Association Analyses of Sleep Duration in Children: The EAGLE Consortium.	Marinelli M et al.	—	2016	→
Heritability of Perinatal Depression and Genetic Overlap With Nonperinatal Depression.	Viktorin A et al.	—	2016	→
High-throughput sequencing of the synaptome in major depressive disorder.	Pirooznia M et al.	—	2016	→
Human Bacterial Artificial Chromosome (BAC) Transgenesis Fully Rescues Noradrenergic Function in Dopamine β-Hydroxylase Knockout Mice.	Cubells JF et al.	—	2016	→
Identification of 15 genetic loci associated with risk of major depression in individuals of European descent.	Hyde CL et al.	—	2016	→
Identification of SLC25A37 as a major depressive disorder risk gene.	Huo YX et al.	—	2016	→
Identification of the BRD1 interaction network and its impact on mental disorder risk.	Fryland T et al.	—	2016	→
Impact of a cis-associated gene expression SNP on chromosome 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance.	Li M et al.	—	2016	→
Investigating the Causal Relationship of C-Reactive Protein with 32 Complex Somatic and Psychiatric Outcomes: A Large-Scale Cross-Consortium Mendelian Randomization Study.	Prins BP et al.	—	2016	→
Is there Progress? An Overview of Selecting Biomarker Candidates for Major Depressive Disorder.	Young JJ et al.	—	2016	→
Major depressive disorder.	Otte C et al.	—	2016	→
Metabolomic biosignature differentiates melancholic depressive patients from healthy controls.	Liu Y et al.	—	2016	→
MicroRNA 101b Is Downregulated in the Prefrontal Cortex of a Genetic Model of Depression and Targets the Glutamate Transporter SLC1A1 (EAAT3) in Vitro.	Wei YB et al.	—	2016	→
Models of Intergenerational and Transgenerational Transmission of Risk for Psychopathology in Mice.	Klengel T et al.	—	2016	→
Neuropsychiatric genomics in precision medicine: diagnostics, gene discovery, and translation.	Need AC et al.	—	2016	→
Neuropsychological and neuroimaging evidence for the involvement of the frontal lobes in depression: 20 years on.	Goodwin GM	—	2016	→
Nonsynonymous HTR2C polymorphism predicts cortisol response to psychosocial stress I: Effects in males and females.	Avery BM et al.	—	2016	→
On combining family- and population-based sequencing data.	Katsumata Y et al.	—	2016	→
Pathogenetic and Therapeutic Applications of Tumor Necrosis Factor-α (TNF-α) in Major Depressive Disorder: A Systematic Review.	Ma K et al.	—	2016	→
Peripheral blood gene expression profiles linked to monoamine metabolite levels in cerebrospinal fluid.	Luykx JJ et al.	—	2016	→
Phenome-wide analysis of genome-wide polygenic scores.	Krapohl E et al.	—	2016	→
Phenotypic Association Analyses With Copy Number Variation in Recurrent Depressive Disorder.	Rucker JJ et al.	—	2016	→
Polygenic associations of neurodevelopmental genes in suicide attempt.	Sokolowski M et al.	—	2016	→
Polygenic dissection of major depression clinical heterogeneity.	Milaneschi Y et al.	—	2016	→
Polygenic interactions with environmental adversity in the aetiology of major depressive disorder.	Mullins N et al.	—	2016	→
Polygenic Risk of Schizophrenia and Cognition in a Population-Based Survey of Older Adults.	Liebers DT et al.	—	2016	→
Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits.	Pavlides JM et al.	—	2016	→
Pupillary response abnormalities in depressive disorders.	Laurenzo SA et al.	—	2016	→
Quantitative Trait Loci and a Novel Genetic Candidate for Fear Learning.	Knoll AT et al.	—	2016	→
Rapporteur summaries of plenary, symposia, and oral sessions from the XXIIIrd World Congress of Psychiatric Genetics Meeting in Toronto, Canada, 16-20 October 2015.	Zai G et al.	—	2016	→
Recurrent major depression and right hippocampal volume: A bivariate linkage and association study.	Mathias SR et al.	—	2016	→
Seeking an objective diagnosis of depression.	Bilello JA	—	2016	→
Serum proteomic profiles of depressive subtypes.	Lamers F et al.	—	2016	→
Shared Genetics and Couple-Associated Environment Are Major Contributors to the Risk of Both Clinical and Self-Declared Depression.	Zeng Y et al.	—	2016	→
[Significance of the German Act on the Reform of the Market for Medicinal Products for psychopharmacotherapy].	Gründer G	—	2016	→
Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies.	Demirkan A et al.	—	2016	→
Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium.	van Erp TG et al.	—	2016	→
Substance Use and Depression Symptomatology: Measurement Invariance of the Beck Depression Inventory (BDI-II) among Non-Users and Frequent-Users of Alcohol, Nicotine and Cannabis.	Moore AA et al.	—	2016	→
Survival in somatoform disorders--in 100 words.	Chaturvedi SK et al.	—	2016	→
Telomere length and health outcomes: A two-sample genetic instrumental variables analysis.	Hamad R et al.	—	2016	→
The effects of the interplay of genetics and early environmental risk on the course of internalizing symptoms from late childhood through adolescence.	Musci RJ et al.	—	2016	→
The First Pilot Genome-Wide Gene-Environment Study of Depression in the Japanese Population.	Otowa T et al.	—	2016	→
The Genetics of Stress-Related Disorders: PTSD, Depression, and Anxiety Disorders.	Smoller JW	—	2016	→
The identification of symptom-based subtypes of depression: A nationally representative cohort study.	Ten Have M et al.	—	2016	→
The interaction of combined effects of the BDNF and PRKCG genes and negative life events in major depressive disorder.	Yang C et al.	—	2016	→
The potential of genetic and gene expression analysis in the diagnosis of neuropsychiatric disorders.	van de Leemput J et al.	—	2016	→
The specificity of the familial aggregation of early-onset bipolar disorder: A controlled 10-year follow-up study of offspring of parents with mood disorders.	Preisig M et al.	—	2016	→
The Twin Study of Negative Valence Emotional Constructs.	Carney DM et al.	—	2016	→
Transcriptomics analysis of iPSC-derived neurons and modeling of neuropsychiatric disorders.	Lin M et al.	—	2016	→
Translating Neurogenomics Into New Medicines.	Wendland JR et al.	—	2016	→
What Cure Models Can Teach us About Genome-Wide Survival Analysis.	Stringer S et al.	—	2016	→
Why is Diagnosing MDD Challenging?	Liu X et al.	—	2016	→
5-HTTLPR Genotype Moderates the Effects of Past Ecstasy Use on Verbal Memory Performance in Adolescent and Emerging Adults: A Pilot Study.	Wright NE et al.	—	2015	→
Additive genetic risk from five serotonin system polymorphisms interacts with interpersonal stress to predict depression.	Vrshek-Schallhorn S et al.	—	2015	→
Adjusting heterogeneous ascertainment bias for genetic association analysis with extended families.	Park S et al.	—	2015	→
Analyzing pathways from childhood maltreatment to internalizing symptoms and disorders in children and adolescents (AMIS): a study protocol.	White LO et al.	—	2015	→
An association study of the m6A genes with major depressive disorder in Chinese Han population.	Du T et al.	—	2015	→
An update on research and approaches in biological psychiatry.	Li L	—	2015	→
BDNF promoter methylation and genetic variation in late-life depression.	Januar V et al.	—	2015	→
Blood transcriptomic markers for major depression: from animal models to clinical settings.	Redei EE et al.	—	2015	→
Case-control genome-wide association study of persistent attention-deficit hyperactivity disorder identifies FBXO33 as a novel susceptibility gene for the disorder.	Sánchez-Mora C et al.	—	2015	→
Circadian Disruption in Psychiatric Disorders.	Jones SG et al.	—	2015	→
Common variants of the PINK1 and PARL genes do not confer genetic susceptibility to schizophrenia in Han Chinese.	Li X et al.	—	2015	→
Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multi-Ethnic Study of Atherosclerosis.	Ware EB et al.	—	2015	→
Coordinated messenger RNA/microRNA changes in fibroblasts of patients with major depression.	Garbett KA et al.	—	2015	→
Cumulative role of rare and common putative functional genetic variants at NPAS3 in schizophrenia susceptibility.	González-Peñas J et al.	—	2015	→
Depression sum-scores don't add up: why analyzing specific depression symptoms is essential.	Fried EI et al.	—	2015	→
Direct, indirect and pleiotropic effects of candidate genes on internalizing disorder psychopathology.	Hettema JM et al.	—	2015	→
Disruption of sonic hedgehog signaling in Ellis-van Creveld dwarfism confers protection against bipolar affective disorder.	Ginns EI et al.	—	2015	→
DISTMIX: direct imputation of summary statistics for unmeasured SNPs from mixed ethnicity cohorts.	Lee D et al.	—	2015	→
DNA modification study of major depressive disorder: beyond locus-by-locus comparisons.	Oh G et al.	—	2015	→
Early life trauma, depression and the glucocorticoid receptor gene--an epigenetic perspective.	Smart C et al.	—	2015	→
Effect of variation in BDNF Val(66)Met polymorphism, smoking, and nicotine dependence on symptom severity of depressive and anxiety disorders.	Jamal M et al.	—	2015	→
Epidemiology and Heritability of Major Depressive Disorder, Stratified by Age of Onset, Sex, and Illness Course in Generation Scotland: Scottish Family Health Study (GS:SFHS).	Fernandez-Pujals AM et al.	—	2015	→
Epigenetics and depressive disorders: a review of current progress and future directions.	Januar V et al.	—	2015	→
Epigenetics of Stress-Related Psychiatric Disorders and Gene × Environment Interactions.	Klengel T et al.	—	2015	→
Epigenome-Wide Association Study of Aggressive Behavior.	van Dongen J et al.	—	2015	→
Epistatic and gene wide effects in YWHA and aromatic amino hydroxylase genes across ADHD and other common neuropsychiatric disorders: Association with YWHAE.	Jacobsen KK et al.	—	2015	→
Explore the Features of Brain-Derived Neurotrophic Factor in Mood Disorders.	Yeh FC et al.	—	2015	→
Familiality and SNP heritability of age at onset and episodicity in major depressive disorder.	Ferentinos P et al.	—	2015	→
First robust genetic links to depression emerge.	Ledford H	—	2015	→
FRAS1-related extracellular matrix 3 (FREM3) single-nucleotide polymorphism effects on gene expression, amygdala reactivity and perceptual processing speed: An accelerated aging pathway of depression risk.	Nikolova YS et al.	—	2015	→
Functional characterization of the PCLO p.Ser4814Ala variant associated with major depressive disorder reveals cellular but not behavioral differences.	Giniatullina A et al.	—	2015	→
GABAergic control of depression-related brain states.	Luscher B et al.	—	2015	→
Gene-environment interaction in major depression: focus on experience-dependent biological systems.	Lopizzo N et al.	—	2015	→
Genetic analyses benefit from using less heterogeneous phenotypes: an illustration with the hospital anxiety and depression scale (HADS).	Laurin CA et al.	—	2015	→
Genetic determinants of depression: recent findings and future directions.	Dunn EC et al.	—	2015	→
Genetic Differences in the Immediate Transcriptome Response to Stress Predict Risk-Related Brain Function and Psychiatric Disorders.	Arloth J et al.	—	2015	→
Genetic pleiotropy between multiple sclerosis and schizophrenia but not bipolar disorder: differential involvement of immune-related gene loci.	Andreassen OA et al.	—	2015	→
Genetic Predictors of Depressive Symptoms in the Look AHEAD Trial.	McCaffery JM et al.	—	2015	→
Genetics of anxiety disorders: Genetic epidemiological and molecular studies in humans.	Shimada-Sugimoto M et al.	—	2015	→
Genetics of disease: Associations with depression.	Sullivan PF	—	2015	→
Genome-wide methylation study on depression: differential methylation and variable methylation in monozygotic twins.	Córdova-Palomera A et al.	—	2015	→
Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity.	Fortney K et al.	—	2015	→
Heterogeneity and individuality: microRNAs in mental disorders.	Hommers LG et al.	—	2015	→
Identification of genes and gene pathways associated with major depressive disorder by integrative brain analysis of rat and human prefrontal cortex transcriptomes.	Malki K et al.	—	2015	→
Identification of type 2 diabetes subgroups through topological analysis of patient similarity.	Li L et al.	—	2015	→
IGF-I in major depression and antidepressant treatment response.	Kopczak A et al.	—	2015	→
Increased serum levels of sortilin are associated with depression and correlated with BDNF and VEGF.	Buttenschøn HN et al.	—	2015	→
Influence of Serotonin Transporter Gene Polymorphisms and Adverse Life Events on Depressive Symptoms in the Elderly: A Population-Based Study.	Davin A et al.	—	2015	→
Inhibition of Attention for Affective Material: Contributions by <i>HOMER1</i> Gene Variation.	Wells TT et al.	—	2015	→
Integrating NIMH Research Domain Criteria (RDoC) into Depression Research.	Woody ML et al.	—	2015	→
Interaction of tryptophan hydroxylase 2 gene and life events in susceptibility to major depression in a Chinese Han population.	Ma J et al.	—	2015	→
JEPEG: a summary statistics based tool for gene-level joint testing of functional variants.	Lee D et al.	—	2015	→
Lack of association between type 2 diabetes and major depression: epidemiologic and genetic evidence in a multiethnic population.	Samaan Z et al.	—	2015	→
Large Scale Genetic Research on Neuropsychiatric Disorders in African Populations is Needed.	Dalvie S et al.	—	2015	→
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.	Bulik-Sullivan BK et al.	—	2015	→
Major depressive disorder and current psychological distress moderate the effect of polygenic risk for obesity on body mass index.	Clarke TK et al.	—	2015	→
Mendelian Randomization: New Applications in the Coming Age of Hypothesis-Free Causality.	Evans DM et al.	—	2015	→
Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder.	Genetics of Personality Consortium et al.	—	2015	→
Models to explore genetics of human aging.	Karasik D et al.	—	2015	→
New insights into the neurobiological mechanisms of major depressive disorders.	Fakhoury M	—	2015	→
Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study.	Gottlieb DJ et al.	—	2015	→
Personalized Medicine: Review and Perspectives of Promising Baseline EEG Biomarkers in Major Depressive Disorder and Attention Deficit Hyperactivity Disorder.	Olbrich S et al.	—	2015	→
Polygenic risk, stressful life events and depressive symptoms in older adults: a polygenic score analysis.	Musliner KL et al.	—	2015	→
Problematic assumptions have slowed down depression research: why symptoms, not syndromes are the way forward.	Fried EI	—	2015	→
Proteasome system dysregulation and treatment resistance mechanisms in major depressive disorder.	Minelli A et al.	—	2015	→
Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways.	Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium	—	2015	→
Psychometric precision in phenotype definition is a useful step in molecular genetic investigation of psychiatric disorders.	Xu MK et al.	—	2015	→
Schizophrenia and Depression Co-Morbidity: What We have Learned from Animal Models.	Samsom JN et al.	—	2015	→
Schizophrenia as a disorder of molecular pathways.	Horváth S et al.	—	2015	→
Seasonality shows evidence for polygenic architecture and genetic correlation with schizophrenia and bipolar disorder.	Byrne EM et al.	—	2015	→
Serum proteomic profiling of major depressive disorder.	Bot M et al.	—	2015	→
Shared additive genetic influences on DSM-IV criteria for alcohol dependence in subjects of European ancestry.	Palmer RH et al.	—	2015	→
Single Nucleotide Polymorphism Heritability of Behavior Problems in Childhood: Genome-Wide Complex Trait Analysis.	Pappa I et al.	—	2015	→
Sparse whole-genome sequencing identifies two loci for major depressive disorder.	CONVERGE consortium	—	2015	→
Src kinase as a mediator of convergent molecular abnormalities leading to NMDAR hypoactivity in schizophrenia.	Banerjee A et al.	—	2015	→
The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25,000 subjects.	Peyrot WJ et al.	—	2015	→
The genetics of loneliness: linking evolutionary theory to genome-wide genetics, epigenetics, and social science.	Goossens L et al.	—	2015	→
The GSK3B gene confers risk for both major depressive disorder and schizophrenia in the Han Chinese population.	Chen J et al.	—	2015	→
The inflammatory cytokines: molecular biomarkers for major depressive disorder?	Martin C et al.	—	2015	→
The interaction between stress and genetic factors in the etiopathogenesis of depression.	McGuffin P et al.	—	2015	→
The mathematical limits of genetic prediction for complex chronic disease.	Keyes KM et al.	—	2015	→
The NVL gene confers risk for both major depressive disorder and schizophrenia in the Han Chinese population.	Wang M et al.	—	2015	→
The promise of biomarkers in diagnosing major depression in primary care: the present and future.	Redei EE et al.	—	2015	→
The relationship between schizophrenia and rheumatoid arthritis revisited: genetic and epidemiological analyses.	Euesden J et al.	—	2015	→
The role of the potassium channel gene KCNK2 in major depressive disorder.	Congiu C et al.	—	2015	→
The successful search for genetic loci associated with depression.	Rivera M et al.	—	2015	→
Translating depression biomarkers for improved targeted therapies.	Bredt DS et al.	—	2015	→
Variability in the effect of 5-HTTLPR on depression in a large European population: the role of age, symptom profile, type and intensity of life stressors.	Juhasz G et al.	—	2015	→
What have we learned from the Psychiatric Genomics Consortium.	O'Donovan MC	—	2015	→
Whole-genome sequencing provides insight into the genetics of major depressive disorder.	Drögemöller B	—	2015	→
708 Common and 2010 rare DISC1 locus variants identified in 1542 subjects: analysis for association with psychiatric disorder and cognitive traits.	Thomson PA et al.	—	2014	→
A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.	Chang LC et al.	—	2014	→
A genetic variant in 12q13, a possible risk factor for bipolar disorder, is associated with depressive state, accounting for stressful life events.	Shimasaki A et al.	—	2014	→
A genome-wide association study of anorexia nervosa.	Boraska V et al.	—	2014	→
Allelic differences between Europeans and Chinese for CREB1 SNPs and their implications in gene expression regulation, hippocampal structure and function, and bipolar disorder susceptibility.	Li M et al.	—	2014	→
Analyzing genome-wide association studies with an FDR controlling modification of the Bayesian Information Criterion.	Dolejsi E et al.	—	2014	→
A new piece to understanding the intimate partner violence puzzle: what role do genetics play?	DeWall CN et al.	—	2014	→
An excess of risk-increasing low-frequency variants can be a signal of polygenic inheritance in complex diseases.	Chan Y et al.	—	2014	→
A polygenic risk score associated with measures of depressive symptoms among older adults.	Levine ME et al.	—	2014	→
Applying polygenic risk scores to postpartum depression.	Byrne EM et al.	—	2014	→
A recessive genetic model and runs of homozygosity in major depressive disorder.	Power RA et al.	—	2014	→
Arguments for the sake of endophenotypes: examining common misconceptions about the use of endophenotypes in psychiatric genetics.	Glahn DC et al.	—	2014	→
Association between serotonin transporter genotype, brain structure and adolescent-onset major depressive disorder: a longitudinal prospective study.	Little K et al.	—	2014	→
Association of HTR2A T102C and A-1438G polymorphisms with susceptibility to major depressive disorder: a meta-analysis.	Zhao X et al.	—	2014	→
Autism spectrum disorder genetics: diverse genes with diverse clinical outcomes.	Talkowski ME et al.	—	2014	→
Biomarkers in major depressive disorder: the role of mass spectrometry.	Woods AG et al.	—	2014	→
Brain galanin system genes interact with life stresses in depression-related phenotypes.	Juhasz G et al.	—	2014	→
Brief, unidimensional melancholia rating scales are highly sensitive to the effect of citalopram and may have biological validity: implications for the research domain criteria (RDoC).	Ostergaard SD et al.	—	2014	→
Chasing Mendel: five questions for personalized medicine.	Joyner MJ et al.	—	2014	→
Chipping away at major depressive disorder.	Rucker JJ et al.	—	2014	→
Circadian rhythms and mood: opportunities for multi-level analyses in genomics and neuroscience: circadian rhythm dysregulation in mood disorders provides clues to the brain's organizing principles, and a touchstone for genomics and neuroscience.	Li JZ	—	2014	→
Clarifying the causal relationship in women between childhood sexual abuse and lifetime major depression.	Kendler KS et al.	—	2014	→
Commentary: G × E in child psychiatry and psychology: a broadening of the scope of enquiry as prompted by Munafò et al. (2014).	Rutter M	—	2014	→
Depression and BMI influences the serum vascular endothelial growth factor level.	Elfving B et al.	—	2014	→
DNA mismatch repair MSH2 gene-based SNP associated with different populations.	Abduljaleel Z et al.	—	2014	→
Dopamine genetic risk score predicts depressive symptoms in healthy adults and adults with depression.	Pearson-Fuhrhop KM et al.	—	2014	→
Effect of polygenic risk scores on depression in childhood trauma.	Peyrot WJ et al.	—	2014	→
Epigenetic alterations in depression and antidepressant treatment.	Menke A et al.	—	2014	→
Epigenetics and the regulation of stress vulnerability and resilience.	Zannas AS et al.	—	2014	→
Epigenetics of depression.	Lolak S et al.	—	2014	→
Explaining additional genetic variation in complex traits.	Robinson MR et al.	—	2014	→
Failure to replicate the association of glucocorticoid and type 1 corticotropin-releasing hormone receptors gene variants with risk of depression during pregnancy and post-partum reported by.	Stergiakouli E et al.	—	2014	→
Functional SNPs are enriched for schizophrenia association signals.	Bacanu SA et al.	—	2014	→
Further confirmation of the association between anxiety and CTNND2: replication in humans.	Nivard MG et al.	—	2014	→
Gene-environment interaction.	Manuck SB et al.	—	2014	→
Gene-environment interaction research in psychiatric epidemiology: a framework and implications for study design.	Belsky DW et al.	—	2014	→
Gene-environment interactions in common mental disorders: an update and strategy for a genome-wide search.	Uher R	—	2014	→
Genetic association analysis of 300 genes identifies a risk haplotype in SLC18A2 for post-traumatic stress disorder in two independent samples.	Solovieff N et al.	—	2014	→
Genetic influences on alcohol use across stages of development: GABRA2 and longitudinal trajectories of drunkenness from adolescence to young adulthood.	Dick DM et al.	—	2014	→
Genetic, molecular and clinical determinants for the involvement of aldosterone and its receptors in major depression.	Murck H et al.	—	2014	→
Genetic relationships between suicide attempts, suicidal ideation and major psychiatric disorders: a genome-wide association and polygenic scoring study.	Mullins N et al.	—	2014	→
Genetic studies of major depressive disorder: why are there no genome-wide association study findings and what can we do about it?	Levinson DF et al.	—	2014	→
Genome-wide polygenic scoring for a 14-year long-term average depression phenotype.	Chang SC et al.	—	2014	→
Genome-wide scans of genetic variants for psychophysiological endophenotypes: a methodological overview.	Iacono WG et al.	—	2014	→
Horizons of psychiatric genetics and epigenetics: where are we and where are we heading?	Mostafavi Abdolmaleky H	—	2014	→
Hypermethylation in the ZBTB20 gene is associated with major depressive disorder.	Davies MN et al.	—	2014	→
Interaction among childhood trauma and functional polymorphisms in the serotonin pathway moderate the risk of depressive disorders.	Van der Auwera S et al.	—	2014	→
Intermediate phenotypes and biomarkers of treatment outcome in major depressive disorder.	Leuchter AF et al.	—	2014	→
Investigating the genetic variation underlying episodicity in major depressive disorder: suggestive evidence for a bipolar contribution.	Ferentinos P et al.	—	2014	→
Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium.	Taylor AE et al.	—	2014	→
ITIH3 polymorphism may confer susceptibility to psychiatric disorders by altering the expression levels of GLT8D1.	Sasayama D et al.	—	2014	→
Jumping on the Train of Personalized Medicine: A Primer for Non-Geneticist Clinicians: Part 2. Fundamental Concepts in Genetic Epidemiology.	Li A et al.	—	2014	→
Large-scale genomics unveils the genetic architecture of psychiatric disorders.	Gratten J et al.	—	2014	→
Medical research: if depression were cancer.	Ledford H	—	2014	→
Mental health: depression needs large human-genetics studies.	Hyman S	—	2014	→
Metamoodics: meta-analysis and bioinformatics resource for mood disorders.	Pirooznia M et al.	—	2014	→
Microarray profiling and co-expression network analysis of circulating lncRNAs and mRNAs associated with major depressive disorder.	Liu Z et al.	—	2014	→
MZ twin pairs or MZ singletons in population family-based GWAS? More power in pairs.	Minică CC et al.	—	2014	→
Practitioner review: A critical perspective on gene-environment interaction models--what impact should they have on clinical perceptions and practice?	Munafò MR et al.	—	2014	→
Premorbid risk factors for major depressive disorder: are they associated with early onset and recurrent course?	Wilson S et al.	—	2014	→
Prenatal risk factors for depression: a critical review of the evidence and potential mechanisms.	Braithwaite EC et al.	—	2014	→
Psychiatric genetics and the future of personalized treatment.	Smoller JW	—	2014	→
Putative transcriptomic biomarkers in the inflammatory cytokine pathway differentiate major depressive disorder patients from control subjects and bipolar disorder patients.	Powell TR et al.	—	2014	→
Recurrent deletions of ULK4 in schizophrenia: a gene crucial for neuritogenesis and neuronal motility.	Lang B et al.	—	2014	→
Resistance to antidepressant drugs: the case for a more predisposition-based and less hippocampocentric research paradigm.	Willner P et al.	—	2014	→
Revitalizing psychiatric therapeutics.	Hyman SE	—	2014	→
Social neuroscience and its potential contribution to psychiatry.	Cacioppo JT et al.	—	2014	→
Stratified medicine for mental disorders.	Schumann G et al.	—	2014	→
Testing the role of circadian genes in conferring risk for psychiatric disorders.	Byrne EM et al.	—	2014	→
The ceramide system as a novel antidepressant target.	Kornhuber J et al.	—	2014	→
The dynamic nature of depression: a new micro-level perspective of mental disorder that meets current challenges.	Wichers M	—	2014	→
The endogenous and reactive depression subtypes revisited: integrative animal and human studies implicate multiple distinct molecular mechanisms underlying major depressive disorder.	Malki K et al.	—	2014	→
The gender-specific association of EHD3 polymorphisms with major depressive disorder.	Wang L et al.	—	2014	→
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study.	Lekman M et al.	—	2014	→
The genetics of major depression.	Flint J et al.	—	2014	→
Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing.	Mostafavi S et al.	—	2014	→
A genome-wide association study of a sustained pattern of antidepressant response.	Hunter AM et al.	—	2013	→
A network medicine approach to psychiatric genetics.	Lasky-Su J	—	2013	→
Assessment of genetic and nongenetic interactions for the prediction of depressive symptomatology: an analysis of the Wisconsin Longitudinal Study using machine learning algorithms.	Roetker NS et al.	—	2013	→
Association between autozygosity and major depression: stratification due to religious assortment.	Abdellaoui A et al.	—	2013	→
Biological substrates underpinning diagnosis of major depression.	Sibille E et al.	—	2013	→
Cardiovascular disease, psychosocial factors, and genetics: the case of depression.	Mulle JG et al.	—	2013	→
Circadian clocks, brain function, and development.	Frank E et al.	—	2013	→
Considering trauma exposure in the context of genetics studies of posttraumatic stress disorder: a systematic review.	Digangi J et al.	—	2013	→
Cross-species genetics converge to TLL2 for mouse avoidance behavior and human bipolar disorder.	de Mooij-van Malsen JG et al.	—	2013	→
Genetic association studies between SNPs and suicidal behavior: a meta-analytical field synopsis.	Schild AH et al.	—	2013	→
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.	Cross-Disorder Group of the Psychiatric Genomics Consortium et al.	—	2013	→
Genome-wide association analysis accounting for environmental factors through propensity-score matching: application to stressful live events in major depressive disorder.	Power RA et al.	—	2013	→
Genome-wide association analysis identifies 13 new risk loci for schizophrenia.	Ripke S et al.	—	2013	→
Genome-wide association studies in psychiatry: what have we learned?	Collins AL et al.	—	2013	→
Genome-wide scan of job-related exhaustion with three replication studies implicate a susceptibility variant at the UST gene locus.	Sulkava S et al.	—	2013	→
Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.	Cross-Disorder Group of the Psychiatric Genomics Consortium	—	2013	→
Integrative mouse and human mRNA studies using WGCNA nominates novel candidate genes involved in the pathogenesis of major depressive disorder.	Malki K et al.	—	2013	→
Modulatory effects of the piccolo genotype on emotional memory in health and depression.	Woudstra S et al.	—	2013	→
Monozygotic twins affected with major depressive disorder have greater variance in methylation than their unaffected co-twin.	Byrne EM et al.	—	2013	→
On schizophrenia as a "disease of humanity".	Bigdeli TB et al.	—	2013	→
p11 and its role in depression and therapeutic responses to antidepressants.	Svenningsson P et al.	—	2013	→
Polygenic risk and white matter integrity in individuals at high risk of mood disorder.	Whalley HC et al.	—	2013	→
Protocol for a collaborative meta-analysis of 5-HTTLPR, stress, and depression.	Culverhouse RC et al.	—	2013	→
Research review: the role of cytokines in depression in adolescents: a systematic review.	Mills NT et al.	—	2013	→
The future of genomics for developmentalists.	Plomin R et al.	—	2013	→
The genetic basis of depression.	Hodgson K et al.	—	2013	→
The genetic overlap between schizophrenia and height.	Bacanu SA et al.	—	2013	→
Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile.	Penninx BW et al.	—	2013	→
Using Mendelian randomisation to infer causality in depression and anxiety research.	Gage SH et al.	—	2013	→
Using phenotypic heterogeneity to increase the power of genome-wide association studies: application to age at onset of ischaemic stroke subphenotypes.	Traylor M et al.	—	2013	→
Bringing a developmental perspective to anxiety genetics.	McGrath LM et al.	—	2012	→
Data-driven subtypes of major depressive disorder: a systematic review.	van Loo HM et al.	—	2012	→
Gene expression profiles associated with depression in patients with chronic hepatitis C (CH-C).	Birerdinc A et al.	—	2012	→
Genetic architectures of psychiatric disorders: the emerging picture and its implications.	Sullivan PF et al.	—	2012	→
Individual differences in amygdala-medial prefrontal anatomy link negative affect, impaired social functioning, and polygenic depression risk.	Holmes AJ et al.	—	2012	→
Multi-locus genome-wide association analysis supports the role of glutamatergic synaptic transmission in the etiology of major depressive disorder.	Lee PH et al.	—	2012	→
Revolution stalled.	Hyman SE	—	2012	→
Systems biology, bioinformatics, and biomarkers in neuropsychiatry.	Alawieh A et al.	—	2012	→
The genetic basis of mood and anxiety disorders - changing paradigms.	Binder EB	—	2012	→
Using summary data from the danish national registers to estimate heritabilities for schizophrenia, bipolar disorder, and major depressive disorder.	Wray NR et al.	—	2012	→
A genome-wide association study on common SNPs and rare CNVs in anorexia nervosa.	Wang K et al.	—	2011	→