Psychiatric Genomics: An Update and an Agenda.
- Authors
- Sullivan, Patrick F; Agrawal, Arpana; Bulik, Cynthia M; Andreassen, Ole A; BΓΈrglum, Anders D; Breen, Gerome; Cichon, Sven; Edenberg, Howard J; Faraone, Stephen V; Gelernter, Joel; Mathews, Carol A; Nievergelt, Caroline M; Smoller, Jordan W; O'Donovan, Michael C; Psychiatric Genomics Consortium
- Year
- 2018
- Journal
- The American journal of psychiatry
- PMID
- 28969442
- DOI
- 10.1176/appi.ajp.2017.17030283
- PMCID
- PMC5756100
The Psychiatric Genomics Consortium (PGC) is the largest consortium in the history of psychiatry. This global effort is dedicated to rapid progress and open science, and in the past decade it has delivered an increasing flow of new knowledge about the fundamental basis of common psychiatric disorders. The PGC has recently commenced a program of research designed to deliver "actionable" findings-genomic results that 1) reveal fundamental biology, 2) inform clinical practice, and 3) deliver new therapeutic targets. The central idea of the PGC is to convert the family history risk factor into biologically, clinically, and therapeutically meaningful insights. The emerging findings suggest that we are entering a phase of accelerated genetic discovery for multiple psychiatric disorders. These findings are likely to elucidate the genetic portions of these truly complex traits, and this knowledge can then be mined for its relevance for improved therapeutics and its impact on psychiatric practice within a precision medicine framework. [AJP at 175: Remembering Our Past As We Envision Our Future November 1946: The Genetic Theory of Schizophrenia Franz Kallmann's influential twin study of schizophrenia in 691 twin pairs was the largest in the field for nearly four decades. (Am J Psychiatry 1946; 103:309-322 )].
Theoretical power of GWAS and observed genetic effect sizesa. Statistical power of GWAS (in theory). Upper curve ( ) shows minimum detectable genotypic relative risks for common variants for 1,000 cases and 1,000 controls (90% power, additive model, lifetime risk 0.01, Ξ±=5e-8). Lower curve ( ) shows 90% power for the PGC 2014 schizophrenia paper (37,000 cases and 113,000 controls, additive model, lifetime morbid risk 0.01, Ξ±=5Γ10β 8). Black dots show the top 10 loci in the PGC schizophrenia report. These loci are highly significant with P-values ranging from 1.7Γ10β13 to 3.8Γ10β32.b. Odds ratios (OR, log10 scale) and allele frequencies from published GWAS. From EBI-NHGRI GWAS catalog (accessed 1/27/2017), contains 2,308 GWAS papers published 3/2005β7/2016. There are 9,485 SNP-trait associations (P β€ 1Γ1β8) including 7,487 SNPS and 870 traits. Dots show frequency and OR (transformed to be >1 and allele frequencies to 0β0.50). Contours show densest areas of the plot. Horizontal lines show 50th (OR=1.22) and 90th (OR=1.95) percentiles for ORs: most associations are subtle. Of 62 associations with OR>5, most are for infectious disease (N=31; e.g., influenza susceptibility), pharmacogenomic (N=13; e.g., rare adverse drug reactions like flucloxacillin-induced liver injury), eye disease (N=4; e.g., glaucoma), or pigmentation (N=2; e.g., blue vs. brown eyes). Only a few diseases have atypically large ORs (e.g., celiac disease, melanoma, membranous nephropathy, myasthenia gravis, ovarian cancer, Parkinson's disease, progressive supranuclear palsy, thyrotoxic hypokalemic periodic paralysis, and type 1 diabetes). The only psychiatric finding was alcohol consumption and ALDH2 in individuals of East Asian ancestry.
LLM interpretation
This figure consists of two plots analyzing GWAS power and effect sizes. Panel (a) is a line graph showing the minimum detectable genotypic relative risk across minor allele frequencies, with two power curves and black dots representing the top 10 loci from a schizophrenia report. Panel (b) is a scatter plot of odds ratios (log10 scale) versus allele frequency for 9,485 SNP-trait associations, featuring density contours and horizontal lines marking the 50th (OR=1.22) and 90th (OR=1.95) percentiles.
The types of genetic variants empirically associate with severe psychiatric disordersa. Genetic causes of severe intellectual disability (ID) (58), autism spectrum disorder (ASD) (59, 60), and schizophrenia (SCZ) (61), including copy number variation (CNV), inherited known recessives, and single nucleotide variants (SNV). For severe ID, most SNV and CNV are de novo. The unknown grouping includes common variation, undiscovered rare genetic causes, phenocopies, and causation due to non-genetic effects.b. Significant genetic associations for schizophrenia. Y-axis is log10 of odds ratio. X-axis is log10 of allele frequency in controls. Odds ratios transformed to be >1 and frequencies to be β€ 0.5. The dots on the lower right ( ) shows common-variant associations for schizophrenia (P<1e-8) (19). Open diamonds ( ) show copy number variation associated with schizophrenia (34). Filled square ( ) shows the lone variant identified using whole exome sequencing (35).
LLM interpretation
This figure consists of two parts: (a) three pie charts showing the distribution of genetic variants (CNV, Recessive, SNV, and Unknown) for severe ID, ASD, and SCZ, with severe ID showing the highest proportion of identified SNVs and CNVs. (b) A scatter plot for schizophrenia where the y-axis represents the $\log_{10}$ of the odds ratio and the x-axis represents the $\log_{10}$ of allele frequency in controls. The plot displays various genetic associations, including copy number variations (open diamonds), a single exome sequencing variant (filled square), and common-variant associations (blue dots) clustered at lower odds ratios and higher allele frequencies.
GWAS sample sizes and rates of discoverya. Numbers of cases for PGC GWAS analyses. For the original five PGC disorders (ADHD..SCZ), there are three bars for the numbers of cases in the initial βPGC1β reports, the next round of papers (βPGC2β), and the projected numbers by 2019. For the four disorders added in 2013 (ED..SUD), the PGC2 and projected PGC3 numbers are shown. Abbreviations: ADHD=attention-deficit hyperactivity disorder, AUT=autism, BIP=bipolar disorder, MDD=major depressive disorder, SCZ=schizophrenia, ED=eating disorders, OCD/TS=obsessive-compulsive disorder/Tourette syndrome, PTSD=posttraumatic stress disorder, and SUD=substance use disorders.b. Relation between numbers of cases and genome-wide significant SNPs in GWAS. Lines show discovery paths for inflammatory bowel disease (IBD), schizophrenia (SCZ), height, and bipolar disorder (BIP). IBD has an exceptional genetic architecture and excellent clinical diagnostic specificity that enabled considerable discovery with relatively smaller numbers of cases. SCZ, height, and BIP follow more typical and approximately similar discover pathsc. Cartoon of hypothetical relation between number of cases and genome-wide significant associations for a human complex disease or trait. There is an initial dead zone whose length depends how many cases are accrued and the largest effect size. This is followed by an inflection point where the significant associations begin to accumulate and then a linear phase. Complexities arising from the true nature of the initially unknown genetic architecture could change the form of this curve importantly.
LLM interpretation
This figure consists of three panels analyzing GWAS sample sizes and discovery rates. Panel (a) is a bar chart showing the number of cases for various psychiatric disorders across three time-points (PGC1, PGC2, and projected 2019), with MDD showing the highest case counts. Panel (b) is a scatter plot with lines illustrating the relationship between the number of cases and genome-wide significant SNPs for IBD, SCZ, height, and BIP, showing that IBD achieved higher discovery with fewer cases. Panel (c) is a conceptual diagram depicting a hypothetical discovery curve characterized by a "dead zone," an "inflection" point, a "linear" phase, and a region of "diminishing returns."
Examples of genomic regions significantly associated with schizophreniaExamples of genome-wide significant regions for schizophrenia with tracks showing the location (hg19), genes in the region, GWAS results from the literature, and the schizophrenia results (one green vertical bar per SNP, height corresponds to βlog10(P-value) with 7.3 equivalent to 5Γ10β8. (a) intronic association in CACNA1C, (b) association mostly upstream of DRD2, (c) multigenic association, and (d) intergenic association.
LLM interpretation
This figure consists of four genomic track plots (a-d) showing associations between specific genomic regions (hg19) and schizophrenia. Each panel displays gene locations, GWAS results from literature, and schizophrenia-specific results represented by green vertical bars, where the height indicates the $-\log_{10}(P\text{-value})$. The plots illustrate different types of associations: (a) intronic in *CACNA1C*, (b) upstream of *DRD2*, (c) multigenic, and (d) intergenic, with a significance threshold marked at 7.3 ($5 \times 10^{-8}$).
| Name | Type |
|---|---|
| 20,000 subjects local | cohort |
| 200 genes local | gene |
| ADHD | phenotype |
| adoption studies | cohort |
| Adult onset local | phenotype |
| adult-onset psychiatric disorders local | phenotype |
| African | cohort |
| African-Americans | cohort |
| age of onset | phenotype |
| age-related macular degeneration | phenotype |
| alcoholism | phenotype |
| Alzheimerβs disease | phenotype |
| anorexia nervosa | phenotype |
| anterior cingulate cortex | anatomy |
| antidepressants | drug |
| antipsychotics | drug |
| anxiety | phenotype |
| apoE | gene |
| Asian | cohort |
| attention deficit hyperactivity disorder | phenotype |
| autism | phenotype |
| autism spectrum disorder | phenotype |
| bipolar disorder | phenotype |
| body mass index | phenotype |
| body weight | phenotype |
| brain | anatomy |
| CACNA1C | gene |
| calcium channels local | drug |
| cases | cohort |
| CFH | gene |
| childhood-onset psychiatric disorders | phenotype |
| cholesterol-lowering medication local | drug |
| cholesterol measures local | phenotype |
| clinical samples | cohort |
| clinical trial | cohort |
| clozapine | drug |
| Clozapine-induced agranulocytosis local | phenotype |
| CNS-relevant diseases local | phenotype |
| CNV | variant |
| cognition | phenotype |
| cognitive and behavioral correlates local | phenotype |
| common variants | cohort |
| Common variants of small effect local | variant |
| common variation | variant |
| controls | cohort |
| depressive symptom measures local | phenotype |
| disorder | phenotype |
| DRD2 | gene |
| early onset | phenotype |
| Early-onset Alzheimerβs disease | phenotype |
| East Asian | cohort |
| eating disorders | phenotype |
| educational attainment | phenotype |
| endophenotype | phenotype |
| epilepsy | phenotype |
| episodic illness local | phenotype |
| families | cohort |
| family history risk factor local | phenotype |
| favorable metabolic factors local | phenotype |
| first wave of psychiatric GWAS (2008) local | cohort |
| gene-disrupting variant local | variant |
| Genetic isolates local | cohort |
| genetic variants | cohort |
| genome-wide genetic data local | drug |
| genotypic relative risk (GRR) local | phenotype |
| GRS local | drug |
| GWAS | cohort |
| height | phenotype |
| higher body mass local | phenotype |
| HMGCR | gene |
| imaging phenotypes local | phenotype |
| inflammatory bowel disease | phenotype |
| intellectual disability | phenotype |
| Kallmann twin study local | cohort |
| Large pedigrees local | cohort |
| late onset | phenotype |
| lithium response local | phenotype |
| major depressive disorder | phenotype |
| mental illnesses local | phenotype |
| mild illness local | phenotype |
| mood disorders | phenotype |
| NEGR1 | gene |
| Neuroimaging | phenotype |
| neuroticism | phenotype |
| NIDA | cohort |
| NIMH | cohort |
| Normal-range developmental trajectories local | phenotype |
| obsessive-compulsive disorder | phenotype |
| pedigree-h2 local | phenotype |
| personality traits | phenotype |
| PGC | cohort |
| PGC cases local | cohort |
| PGC clinicians local | cohort |
| PGC disorders local | phenotype |
| PGC GRS local | phenotype |
| PGC MDD group local | cohort |
| PGC MDD study local | cohort |
| PGC working groups local | cohort |
| population | cohort |
| Population samples local | cohort |
| Post-Traumatic Stress Disorder | phenotype |
| prefrontal cortex | anatomy |
| protective variant local | variant |
| PsychENCODE | cohort |
| psychiatric disorders | phenotype |
| Psychiatric Genomics Consortium | cohort |
| psychiatric medications local | drug |
| psychiatric traits | phenotype |
| psychosis | phenotype |
| rare CNVs | variant |
| Rare exonic variation local | variant |
| rare exon variants local | variant |
| rare variant | cohort |
| Rare variant of strong effect local | variant |
| RBFOX1 | gene |
| recurrent severe MDD local | phenotype |
| risk factor | phenotype |
| schizophrenia | phenotype |
| serious mental illness | phenotype |
| SETD1A local | gene |
| Severe disorders local | phenotype |
| severe illness local | phenotype |
| Severe psychiatric disorder local | phenotype |
| severe psychiatric disorders local | phenotype |
| Sleep disturbance | phenotype |
| smoking behavior | phenotype |
| SNP-h2 local | phenotype |
| socio-economic status | phenotype |
| South America | cohort |
| SOX5 | gene |
| Stanley Center of the Broad Institute local | cohort |
| substance use | phenotype |
| sum scores | drug |
| susceptibility variant local | variant |
| synapse | anatomy |
| Tourette syndrome | phenotype |
| Twin cohort | cohort |
| twin-h2 local | phenotype |
| type 2 diabetes | phenotype |
| unfavorable metabolic measures local | phenotype |
| unremitting illness local | phenotype |
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In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Limitations and opportunities in multi-omics integration for neurodevelopmental, neurodegenerative and psychiatric disorders: A systematic review. | Behrens LMP et al. | β | 2026 | β |
| Multisite, Multiancestry Genome-Wide Association Study Meta-Analysis of Functional Seizure Disorder in a Hospital Sample of 675,680 Patients. | Goleva SB et al. | β | 2026 | β |
| Polygenic Risks for Mood Disorders and Economic Well-being: Study of Finnish Cohorts. | Hazak A et al. | β | 2026 | β |
| Precision Approaches for Scalable Digital and Clinic-Based Interventions in Mental Health. | Bohnert ASB et al. | β | 2026 | β |
| Precision dosing of clozapine: A physiologically based pharmacokinetic/pharmacodynamic model integrating genetic polymorphisms and clinical outcomes. | Mishra A et al. | β | 2026 | β |
| Psychiatric Morbidity Is Overrepresented in Young Girls atΒ High Risk of Developing Anorexia Nervosa. | Dahlin K et al. | β | 2026 | β |
| Schizophrenia may be a risk of polycystic ovary syndrome (PCOS) and primary ovarian insufficiency (POI): A Mendelian randomisation study. | Wen J et al. | β | 2026 | β |
| Shared Blood Transcriptomic and Pathway Signatures in Major Depression, Generalized Anxiety, and Obsessive-Compulsive Disorder: A Systems-Level Study. | Salimian N | β | 2026 | β |
| Shared genetic architecture between autism spectrum disorder, loneliness, and social isolation reveals novel genetic loci. | Hope S et al. | β | 2026 | β |
| Transcriptomic integration nominates FOXN2 as a candidate schizophrenia risk gene. | Yu L et al. | β | 2026 | β |
| World Federation of Societies of Biological Psychiatry (WFSBP) consensus statement on candidate biomarkers for anorexia nervosa. | Himmerich H et al. | β | 2026 | β |
| A multi-level exploration of the genetic basis between lung cancer and schizophrenia. | Wu L et al. | β | 2025 | β |
| Application of GWAS summary data and drug-induced gene expression profiles of neural progenitor cells in psychiatric drug prioritization analysis. | Li X et al. | β | 2025 | β |
| Bidirectional Mendelian randomization analysis of plasma lipidome and psychiatric disorders. | Yu L et al. | β | 2025 | β |
| Blunted cortisol as a biomarker of depression based on the attenuation hypothesis: A Mendelian randomization analysis using depression as exposure. | Chan II | β | 2025 | β |
| Bringing Genetics to Mental Health: Integrating Genetic Counseling into a Mental Health Program at Monash Health, Australia. | Isbister J et al. | β | 2025 | β |
| Causal influences of migraine on neuropsychiatric disorders: A 2-sample Mendelian randomization study. | Xu T et al. | β | 2025 | β |
| Causal relationship between schizophrenia and five types of dementia: A bidirectional two-sample Mendelian randomization study. | Tao F et al. | β | 2025 | β |
| Concerns about genetic risk testing for opioid use disorder. | Hatoum AS et al. | β | 2025 | β |
| Differentiating biomarker features and familial characteristics of B-SNIP psychosis Biotypes. | Parker DA et al. | β | 2025 | β |
| Equitable Collaboration Between LMIC and HIC Researchers, Part I: A Preliminary Framework for Capacity Building in Psychiatric Genetics Research. | Cabrera-Mendoza B et al. | β | 2025 | β |
| Genetic architecture of RNA editing, splicing and gene expression in schizophrenia. | Choudhury M et al. | β | 2025 | β |
| Genetic Insights into Head-to-Body Ratios Via Deep Learning-Based Image Segmentation and Implications for Common Diseases. | Shi W et al. | β | 2025 | β |
| Genetic predisposition to digital device use and the risk of five psychiatric disorders. | Liu Q et al. | β | 2025 | β |
| Genetics of Tourette Syndrome. | Fernandez TV | β | 2025 | β |
| Genome-wide analyses identify 30 loci associated with obsessive-compulsive disorder. | Strom NI et al. | β | 2025 | β |
| Identifying genetic differences between bipolar disorder and major depression through multiple genome-wide association analyses. | Panagiotaropoulou G et al. | β | 2025 | β |
| Identifying modifiable factors and their joint associations on late-onset schizophrenia risk in the UK Biobank: a prospective exposure-wide association study. | Jiang F et al. | β | 2025 | β |
| Innovations in Meta-Analytic and Computational Methods in the Neuroscientific Investigation of Psychiatric and Neurological Disorders. | Miller CH et al. | β | 2025 | β |
| Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics. | McInnis MG et al. | β | 2025 | β |
| Mapping the cellular etiology of schizophrenia and complex brain phenotypes. | Duncan LE et al. | β | 2025 | β |
| Massively parallel reporter assay investigates shared genetic variants of eight psychiatric disorders. | Lee S et al. | β | 2025 | β |
| Multitrait Genetic Analysis Identifies Novel Pleiotropic Loci for Depression and Schizophrenia in East Asians. | Song Y et al. | β | 2025 | β |
| Neuropsychological profile in young girls at high risk of developing anorexia nervosa. | Dahlin K et al. | β | 2025 | β |
| Pharmaco-Multiomics: A New Frontier in Precision Psychiatry. | Dhieb D et al. | β | 2025 | β |
| Polygenic Risk Score Analysis of Antidepressant Treatment Outcomes: A CAN-BIND-1 Study Report: Analyse des rΓ©sultats du traitement antidΓ©presseur Γ l'aide des scores de risque polygΓ©niques : Rapport sur l'Γ©tude CAN-BIND-1. | Magarbeh L et al. | β | 2025 | β |
| Schizophrenia. | Leucht S et al. | β | 2025 | β |
| Schizophrenia and risk preference: a bidirectional two-sample mendelian randomization study. | Zhao Y et al. | β | 2025 | β |
| Schizophrenia, bipolar disorder and major depressive disorder are probably not risk factors for cardiovascular disease: A Mendelian randomized study. | Chen J et al. | β | 2025 | β |
| Shared genetic architecture and bidirectional clinical risks within the psycho-metabolic nexus. | Guo X et al. | β | 2025 | β |
| Sleep and schizophrenia polygenic scores in non-affective and affective psychotic disorders. | CederlΓΆf E et al. | β | 2025 | β |
| SNP rs615552 and lncRNA CDKN2B-AS1 influence brain cancer pathogenesis through multi-omic mechanisms. | Ye Z et al. | β | 2025 | β |
| The Chongqing Adolescent Twin Study: An Integrative Multimodal Brain Imaging and Non-imaging Dataset. | Zhu Y et al. | β | 2025 | β |
| The Psychiatric Genomics Consortium: discoveries and directions. | Agrawal A et al. | β | 2025 | β |
| The shared genetic architecture between schizophrenia and common peripheral organ imaging phenotypes. | Xie Y et al. | β | 2025 | β |
| The UK Biobank mental health enhancement 2022: Methods and results. | Davis KAS et al. | β | 2025 | β |
| Towards a consensus roadmap for a new diagnostic framework for mental disorders. | Kas MJH et al. | β | 2025 | β |
| Widespread but moderate genetic overlap between circulating polyunsaturated fatty acids and brain disorders. | Xu H et al. | β | 2025 | β |
| A genome-wide Association study of the Count of Codeine prescriptions. | Song W et al. | β | 2024 | β |
| 'Almost nothing is firmly established': A History of Heredity and Genetics in Mental Health Science. | Chaney S et al. | β | 2024 | β |
| An emerging multi-omic understanding of the genetics of opioid addiction. | Johnson EO et al. | β | 2024 | β |
| An evolutionary perspective on complex neuropsychiatric disease. | McClellan JM et al. | β | 2024 | β |
| A primer on the use of machine learning to distil knowledge from data in biological psychiatry. | Quinn TP et al. | β | 2024 | β |
| Assessing the Role of Cortisol in Anxiety, Major Depression, and Neuroticism: A Mendelian Randomization Study Using <i>SERPINA6</i>/<i>SERPINA1</i> Variants. | Chan II et al. | β | 2024 | β |
| A Unifying Hypothesis for the Genome Dynamics Proposed to Underlie Neuropsychiatric Phenotypes. | Gericke GS | β | 2024 | β |
| Building Confidence in Discussing Genetics With Patients With Eating Disorders and Their Families. | Bulik CM | β | 2024 | β |
| Categorical and Dimensional Approaches for Psychiatric Classification and Treatment Targeting: Considerations from Psychosis Biotypes. | Clementz BA et al. | β | 2024 | β |
| COLOCdb: a comprehensive resource for multi-model colocalization of complex traits. | Pan S et al. | β | 2024 | β |
| Cross-site reproducibility of human cortical organoids reveals consistent cell type composition and architecture. | Glass MR et al. | β | 2024 | β |
| Deciphering the genetic interplay between depression and dysmenorrhea: a Mendelian randomization study. | Liu S et al. | β | 2024 | β |
| Dissecting the biology of feeding and eating disorders. | Huckins LM et al. | β | 2024 | β |
| Editorial Perspective: The paradox of precision health in early development - building large samples to yield individual-level measures. | Johnson MH et al. | β | 2024 | β |
| Endophenotype 2.0: updated definitions and criteria for endophenotypes of psychiatric disorders, incorporating new technologies and findings. | Liu C et al. | β | 2024 | β |
| Epilepsy and childhood psychiatric disorders: a two-sample bidirectional Mendelian randomization study. | Wu Y et al. | β | 2024 | β |
| Estimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach. | Cabrera-Mendoza B et al. | β | 2024 | β |
| Evaluation of bidirectional relationships between risk preference and mood disorders: A 2-sample Mendelian randomization study. | Guo W et al. | β | 2024 | β |
| Exploring autism spectrum disorder and co-occurring trait associations to elucidate multivariate genetic mechanisms and insights. | Salenius K et al. | β | 2024 | β |
| Exploring biologically oriented precision mental health initiatives for the care of patients with eating disorders: A narrative review. | Norris ML | β | 2024 | β |
| Factor analysis of lifetime psychopathology and its brain morphometric and genetic correlates in a transdiagnostic sample. | Krug A et al. | β | 2024 | β |
| Generation Scotland: an update on Scotland's longitudinal family health study. | Milbourn H et al. | β | 2024 | β |
| Genetically Informed Study Highlights Income-Independent Effect of Schizophrenia Liability on Mental and Physical Health. | Kouakou MR et al. | β | 2024 | β |
| [Genetic Diagnostics in Everyday Clinical Practice in Child and Adolescent Psychiatry: Indications, Framework Conditions, Hurdles, and Proposed Solutions]. | Degenhardt F et al. | β | 2024 | β |
| Genetic regulation of human brain proteome reveals proteins implicated in psychiatric disorders. | Luo J et al. | β | 2024 | β |
| Genomic structural equation modeling reveals latent phenotypes in the human cortex with distinct genetic architecture. | Morey RA et al. | β | 2024 | β |
| Gray matter volumetric correlates of the polygenic risk of depression: A study of the Human Connectome Project data. | Fu X et al. | β | 2024 | β |
| Investigating the genetic relationship of intracranial and subcortical brain volumes with depression and other psychiatric disorders. | GarcΓa-MarΓn LM et al. | β | 2024 | β |
| Large-Scale Neuroimaging of Mental Illness. | Ching CRK et al. | β | 2024 | β |
| Leveraging big data for causal understanding in mental health: a research framework. | Newson JJ et al. | β | 2024 | β |
| Meta-analysis of set-based multiple phenotype association test based on GWAS summary statistics from different cohorts. | Zhu L et al. | β | 2024 | β |
| Micronutrient-Associated Single Nucleotide Polymorphism and Mental Health: A Mendelian Randomization Study. | Hui J et al. | β | 2024 | β |
| Modeling common and rare genetic risk factors of neuropsychiatric disorders in human induced pluripotent stem cells. | Muhtaseb AW et al. | β | 2024 | β |
| Omics Approaches to Investigate the Pathogenesis of Suicide. | Boldrini M et al. | β | 2024 | β |
| Open Science Practices in Psychiatric Genetics: A Primer. | KΔpiΕska AP et al. | β | 2024 | β |
| Pharmacogenetics of selective serotonin reuptake inhibitors (SSRI): A serotonin reuptake transporter (SERT)-based approach. | Sreeja V et al. | β | 2024 | β |
| Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders. | Koller D et al. | β | 2024 | β |
| Polygenic profiles define aspects of clinical heterogeneity in attention deficit hyperactivity disorder. | LaBianca S et al. | β | 2024 | β |
| Population Neuroscience: Principles and Advances. | Paus T | β | 2024 | β |
| Probing the molecular and cellular pathological mechanisms of schizophrenia using human induced pluripotent stem cell models. | Sebastian R et al. | β | 2024 | β |
| Psychiatric polygenic risk scores: Experience, hope for utility, and concerns among child and adolescent psychiatrists. | Merner AR et al. | β | 2024 | β |
| Quantifying the relative importance of genetics and environment on the comorbidity between mental and cardiometabolic disorders using 17 million Scandinavians. | Meijsen J et al. | β | 2024 | β |
| Relationship of Genetic Polymorphisms and Microbial Composition with Binge Eating Disorder: A Systematic Review. | Monserrat HernΓ‘ndez M et al. | β | 2024 | β |
| Seven psychiatric traits and the risk of increased carotid intima-media thickness: a Mendelian randomization study. | He K et al. | β | 2024 | β |
| The impact of assortative mating, participation bias and socioeconomic status on the polygenic risk of behavioural and psychiatric traits. | Cabrera-Mendoza B et al. | β | 2024 | β |
| The Importance of Large-Scale Genomic Studies to Unravel Genetic Risk Factors for Autism. | NΓ³brega IS et al. | β | 2024 | β |
| The UK Biobank Mental Health Enhancement 2022: Methods and Results | Davis KA et al. | β | 2024 | β |
| The United KingdomΒ Eating Disorders Genetics Initiative. | Monssen D et al. | β | 2024 | β |
| Topologically associating domains define the impact of de novo promoter variants on autism spectrum disorder risk. | Nakamura T et al. | β | 2024 | β |
| Unravelling the genetic basis of Schizophrenia. | Casey C et al. | β | 2024 | β |
| An exponential increase in QTL detection with an increased sample size. | Chitre AS et al. | β | 2023 | β |
| Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits. | Pan S et al. | β | 2023 | β |
| Causal associations between inflammatory bowel disease and anxiety: A bidirectional Mendelian randomization study. | He Y et al. | β | 2023 | β |
| Causal effect of psychiatric disorders on epilepsy: A two-sample Mendelian randomization study. | Li G et al. | β | 2023 | β |
| Causal relationships between blood lipids and major psychiatric disorders: Univariable and multivariable mendelian randomization analysis. | Li B et al. | β | 2023 | β |
| Clinical characterization and differentiation of B-SNIP psychosis Biotypes: Algorithmic Diagnostics for Efficient Prescription of Treatments (ADEPT)-1. | Clementz BA et al. | β | 2023 | β |
| Common genetic variants contribute to heritability of age at onset of schizophrenia. | Sada-Fuente E et al. | β | 2023 | β |
| Comparative neurogenetics of dog behavior complements efforts towards human neuropsychiatric genetics. | Morrill K et al. | β | 2023 | β |
| Cross-disorder GWAS meta-analysis of endocannabinoid DNA variations in major depressive disorder, bipolar disorder, attention deficit hyperactivity disorder, autism spectrum disorder, and schizophrenia. | Kim HK et al. | β | 2023 | β |
| Cross-phenotype relationship between opioid use disorder and suicide attempts: new evidence from polygenic association and Mendelian randomization analyses. | Huang Y et al. | β | 2023 | β |
| Developmental manifestations of polygenic risk for bipolar disorder from infancy to middle childhood. | Askeland RB et al. | β | 2023 | β |
| Developmental milestones in early childhood and genetic liability to neurodevelopmental disorders. | Hannigan LJ et al. | β | 2023 | β |
| Dimensional and transdiagnostic phenotypes in psychiatric genome-wide association studies. | Waszczuk MA et al. | β | 2023 | β |
| Dissecting Schizotypy and Its Association With Cognition and Polygenic Risk for Schizophrenia in a Nonclinical Sample. | Tiego J et al. | β | 2023 | β |
| DRAGON-Data: a platform and protocol for integrating genomic and phenotypic data across large psychiatric cohorts. | Lynham AJ et al. | β | 2023 | β |
| 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. | β | 2023 | β |
| Examining the shared etiology of psychopathology with genome-wide association studies. | Mallard TT et al. | β | 2023 | β |
| Genetic insights into the neurobiology of anxiety. | Koskinen MK et al. | β | 2023 | β |
| Genetic risk, muscle strength and risk of incident major depressive disorder: results from the UK Biobank. | Gu Y et al. | β | 2023 | β |
| Genome-wide association study identifies four pan-ancestry loci for suicidal ideation in the Million Veteran Program. | Ashley-Koch AE et al. | β | 2023 | β |
| Genomic Investigation of Remission and Relapse of Psychotic Depression Treated with Sertraline plus Olanzapine: The STOP-PD II Study. | Men X et al. | β | 2023 | β |
| Genomics of psychiatric disorders: Regional challenges and opportunities | Forero DA | β | 2023 | β |
| GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors. | Docherty AR et al. | β | 2023 | β |
| GWAS quality score for evaluating associated regions in GWAS analyses. | Awasthi S et al. | β | 2023 | β |
| Harmonizing bifactor models of psychopathology between distinct assessment instruments: Reliability, measurement invariance, and authenticity. | Hoffmann MS et al. | β | 2023 | β |
| Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images. | Zhao B et al. | β | 2023 | β |
| How do experts in psychiatric genetics view the clinical utility of polygenic risk scores for schizophrenia? | Moorthy T et al. | β | 2023 | β |
| Identifying Genes Associated with Alzheimer's Disease Using Gene-Based Polygenic Risk Score. | Lai D et al. | β | 2023 | β |
| Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brain. | Bhattacharya A et al. | β | 2023 | β |
| LDAK-GBAT: Fast and powerful gene-based association testing using summary statistics. | Berrandou TE et al. | β | 2023 | β |
| Machine learning dissection of human accelerated regions in primate neurodevelopment. | Whalen S et al. | β | 2023 | β |
| Meta-Analyses of Genome-Wide Association Studies for Postpartum Depression. | Guintivano J et al. | β | 2023 | β |
| Multi-omics cannot replace sample size in genome-wide association studies. | Baranger DAA et al. | β | 2023 | β |
| Multi-omics data integration methods and their applications in psychiatric disorders. | Sathyanarayanan A et al. | β | 2023 | β |
| Opportunities for improving data sharing and FAIR data practices to advance global mental health. | Sadeh Y et al. | β | 2023 | β |
| Polygenic liability, stressful life events and risk for secondary-treated depression in early life: a nationwide register-based case-cohort study. | Musliner KL et al. | β | 2023 | β |
| Polygenic Polarity in Bipolar Disorder. | R Kelsoe J | β | 2023 | β |
| Polygenic risk prediction: why and when out-of-sample prediction R<sup>2</sup> can exceed SNP-based heritability. | Wang X et al. | β | 2023 | β |
| Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology. | Tiego J et al. | β | 2023 | β |
| Schizophrenia: One Name, Many Different Manifestations. | Faden J et al. | β | 2023 | β |
| Susceptibility and severity of COVID-19 and risk of psychiatric disorders in European populations: a Mendelian randomization study. | Xue H et al. | β | 2023 | β |
| The genetic architecture of schizophrenia: review of large-scale genetic studies. | Kato H et al. | β | 2023 | β |
| The impact of sex, age at onset, recurrence, mode of ascertainment and medical complications on the family genetic risk score profiles for alcohol use disorder. | Kendler KS et al. | β | 2023 | β |
| The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study. | Kootbodien T et al. | β | 2023 | β |
| Thoughtful Phenotype Definitions Empower Participants and Power Studies. | Huckins LM | β | 2023 | β |
| Use of big data and machine learning algorithms to extract possible treatment targets in neurodevelopmental disorders. | Malik MA et al. | β | 2023 | β |
| Whole Person Modeling: a transdisciplinary approach to mental health research. | Felsky D et al. | β | 2023 | β |
| A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies. | Shao Z et al. | β | 2022 | β |
| A functional SNP rs895819 on pre-miR-27a is associated with bipolar disorder by targeting NCAM1. | Yang Y et al. | β | 2022 | β |
| A Local Genetic Correlation Analysis Provides Biological Insights Into the Shared Genetic Architecture of Psychiatric and Substance Use Phenotypes. | Gerring ZF et al. | β | 2022 | β |
| Amygdala and anterior cingulate transcriptomes from individuals with bipolar disorder reveal downregulated neuroimmune and synaptic pathways. | Zandi PP et al. | β | 2022 | β |
| An analysis of genetically regulated gene expression and the role of co-expression networks across 16 psychiatric and substance use phenotypes. | Gerring ZF et al. | β | 2022 | β |
| Are the Effects of Malnutrition on the Gut Microbiota-Brain Axis the Core Pathologies of Anorexia Nervosa? | Frostad S | β | 2022 | β |
| Association between psychiatric hospitalizations of patients with schizophrenia and polygenic risk scores based on genes with altered expression by antipsychotics. | Facal F et al. | β | 2022 | β |
| Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe. | PinzΓ³n-Espinosa J et al. | β | 2022 | β |
| Behavioural and functional evidence revealing the role of RBFOX1 variation in multiple psychiatric disorders and traits. | O'Leary A et al. | β | 2022 | β |
| 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. | β | 2022 | β |
| Brick by Brick: Building a Transdiagnostic Understanding of Inflammation in Psychiatry. | Thylur DS et al. | β | 2022 | β |
| Cocaine-Induced Locomotor Activation Differs Across Inbred Mouse Substrains. | Gaines CH et al. | β | 2022 | β |
| Contributions of epigenetic inheritance to the predisposition of major psychiatric disorders: Theoretical framework, evidence, and implications. | Varela RB et al. | β | 2022 | β |
| Convergence of case-specific epigenetic alterations identify a confluence of genetic vulnerabilities tied to opioid overdose. | Corradin O et al. | β | 2022 | β |
| Early manifestations of genetic risk for neurodevelopmental disorders. | Askeland RB et al. | β | 2022 | β |
| Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information. | Maihofer AX et al. | β | 2022 | β |
| Environmental Influences on the Relation between the 22q11.2 Deletion Syndrome and Mental Health: A Literature Review. | Snihirova Y et al. | β | 2022 | β |
| EraSOR: a software tool to eliminate inflation caused by sample overlap in polygenic score analyses. | Choi SW et al. | β | 2022 | β |
| Genes To Mental Health (G2MH): A Framework to Map the Combined Effects of Rare and Common Variants on Dimensions of Cognition and Psychopathology. | Jacquemont S et al. | β | 2022 | β |
| Genetic heterogeneity: Challenges, impacts, and methods through an associative lens. | Woodward AA et al. | β | 2022 | β |
| Genome-wide by Environment Interaction Study of Stressful Life Events and Hospital-Treated Depression in the iPSYCH2012 Sample. | Suppli NP et al. | β | 2022 | β |
| Genomics, convergent neuroscience and progress in understanding autism spectrum disorder. | Willsey HR et al. | β | 2022 | β |
| Improving lithium dose prediction using population pharmacokinetics and pharmacogenomics: a cohort genome-wide association study in Sweden. | Millischer V et al. | β | 2022 | β |
| Incremental advances in psychiatric molecular genetics and nosology. | Kendler KS | β | 2022 | β |
| Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction. | Guan F et al. | β | 2022 | β |
| Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia. | PardiΓ±as AF et al. | β | 2022 | β |
| Mapping, clustering, and analysis of research in psychiatric genomics. | Yadav S et al. | β | 2022 | β |
| Nature vs. Nurture in Precision Education: Insights of Parents and the Public. | Sabatello M et al. | β | 2022 | β |
| Nosology of behavioral addictions: Intersections with philosophy of psychiatry β’. | Stein DJ et al. | β | 2022 | β |
| Not Only Gene Discovery: Genome-wide Association Studies and Polygenic Risk Scores as Tools to Dissect the Heterogeneity of Major Depressive Disorder. | Polimanti R | β | 2022 | β |
| Placental genomics mediates genetic associations with complex health traits and disease. | Bhattacharya A et al. | β | 2022 | β |
| Protein Profiling of RGS6, a Pleiotropic Gene Implicated in Numerous Neuropsychiatric Disorders, Reveals Multi-Isoformic Expression and a Novel Brain-Specific Isoform. | Ahlers-Dannen KE et al. | β | 2022 | β |
| Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration. | Stein DJ et al. | β | 2022 | β |
| Psychiatric genomics, mental health equity, and intersectionality: A framework for research and practice. | Brown JEH et al. | β | 2022 | β |
| Psychiatric polygenic risk scores: Child and adolescent psychiatrists' knowledge, attitudes, and experiences. | Pereira S et al. | β | 2022 | β |
| Psychosis and fever revisited. | Clementz BA | β | 2022 | β |
| Psychosis Biotypes: Replication and Validation from the B-SNIP Consortium. | Clementz BA et al. | β | 2022 | β |
| Rare copy number variation in posttraumatic stress disorder. | Maihofer AX et al. | β | 2022 | β |
| Recommendations for machine learning benchmarks in neuroimaging. | Leenings R et al. | β | 2022 | β |
| Sources of information waste in neuroimaging: mishandling structures, thinking dichotomously, and over-reducing data. | Chen G et al. | β | 2022 | β |
| Systematic Review: Molecular Studies of Common Genetic Variation in Child and Adolescent Psychiatric Disorders. | Akingbuwa WA et al. | β | 2022 | β |
| Systemic inflammatory regulators and 7 major psychiatric disorders: A two-sample Mendelian randomization study. | Chen X et al. | β | 2022 | β |
| Ten challenges for clinical translation in psychiatric genetics. | Derks EM et al. | β | 2022 | β |
| The Current Progress of Psychiatric Genomics. | Nishioka M | β | 2022 | β |
| The impact of educational attainment, intelligence and intellectual disability on schizophrenia: a Swedish population-based register and genetic study. | Song J et al. | β | 2022 | β |
| The P-factor and its genomic and neural equivalents: an integrated perspective. | Sprooten E et al. | β | 2022 | β |
| Understanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records. | Polimanti R et al. | β | 2022 | β |
| Using genetic designs to identify likely causal environmental contributions to psychopathology. | Sellers R et al. | β | 2022 | β |
| A comprehensive gene-centric pleiotropic association analysis for 14 psychiatric disorders with GWAS summary statistics. | Lu H et al. | β | 2021 | β |
| A dimensional approach to functional movement disorders: Heresy or opportunity. | Spagnolo PA et al. | β | 2021 | β |
| A Genome-Wide Association Study and Polygenic Risk Score Analysis of Posttraumatic Stress Disorder and Metabolic Syndrome in a South African Population. | Swart PC et al. | β | 2021 | β |
| All for one and one for all: heterogeneity of genetic etiologies in neurodevelopmental psychiatric disorders. | Moreno-De-Luca D et al. | β | 2021 | β |
| A polygenic resilience score moderates the genetic risk for schizophrenia. | Hess JL et al. | β | 2021 | β |
| Assessing Stakeholder Perceptions of the Utility of Genetic Information for the Clinical Care of Mental Health Disorders: We Have a Will but Need to See the Way. | Bourdon JL et al. | β | 2021 | β |
| Association between polymorphism in gene related to the dopamine circuit and motivations for drinking in patients with alcohol use disorder. | CΓ©spedes IC et al. | β | 2021 | β |
| Commentary: Meeting the challenge of multidimensionality in neurodevelopmental disorders-reflections on Johnson et al. (2021). | Hannigan LJ et al. | β | 2021 | β |
| CRISPR disruption and UK Biobank analysis of a highly conserved polymorphic enhancer suggests a role in male anxiety and ethanol intake. | McEwan AR et al. | β | 2021 | β |
| Cross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank. | De Lillo A et al. | β | 2021 | β |
| Dissecting autism and schizophrenia through neuroimaging genomics. | Moreau CA et al. | β | 2021 | β |
| Downregulation by CNNM2 of ATP5MD expression in the 10q24.32 schizophrenia-associated locus involved in impaired ATP production and neurodevelopment. | Wang Z et al. | β | 2021 | β |
| Genetic Advances in Autism. | Thapar A et al. | β | 2021 | β |
| Genetic and morphological estimates of androgen exposure predict social deficits in multiple neurodevelopmental disorder cohorts. | McKenna BG et al. | β | 2021 | β |
| Genetic contributions to bipolar disorder: current status and future directions. | O'Connell KS et al. | β | 2021 | β |
| Genetic factors influencing a neurobiological substrate for psychiatric disorders. | Andlauer TFM et al. | β | 2021 | β |
| Genetics of substance use disorders in the era of big data. | Gelernter J et al. | β | 2021 | β |
| Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program. | Stein MB et al. | β | 2021 | β |
| Genome-wide association study of panic disorder reveals genetic overlap with neuroticism and depression. | Forstner AJ et al. | β | 2021 | β |
| Genome-Wide Linkage Study Meta-Analysis of Male Sexual Orientation. | Sanders AR et al. | β | 2021 | β |
| Identification of genetic overlap and novel risk loci for attention-deficit/hyperactivity disorder and bipolar disorder. | O'Connell KS et al. | β | 2021 | β |
| Implications of there being many paths to addiction and recovery. | Lamb RJ et al. | β | 2021 | β |
| Integration of evidence across human and model organism studies: A meeting report. | Palmer RHC et al. | β | 2021 | β |
| Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity. | Smit DJA et al. | β | 2021 | β |
| Major Depressive Disorder: Advances in Neuroscience Research and Translational Applications. | Li Z et al. | β | 2021 | β |
| Myelin and oligodendrocyte lineage cell dysfunctions: New players in the etiology and treatment of depression and stress-related disorders. | Boda E | β | 2021 | β |
| Perspective on Beyond Statistical Significance: Finding Meaningful Effects. | Edenberg HJ | β | 2021 | β |
| Perspectives on Recruitment and Representativeness in Forensic Psychiatric Research. | Pedersen SH et al. | β | 2021 | β |
| Placental genomic risk scores and early neurodevelopmental outcomes. | Ursini G et al. | β | 2021 | β |
| Polygenic Risk of Psychiatric Disorders Exhibits Cross-trait Associations in Electronic Health Record Data From European Ancestry Individuals. | Kember RL et al. | β | 2021 | β |
| Posttraumatic stress disorder: from gene discovery to disease biology. | Polimanti R et al. | β | 2021 | β |
| Publicly Available hiPSC Lines with Extreme Polygenic Risk Scores for Modeling Schizophrenia. | Dobrindt K et al. | β | 2021 | β |
| Reframing anorexia nervosa as a metabo-psychiatric disorder. | Bulik CM et al. | β | 2021 | β |
| Return of results in a global survey of psychiatric genetics researchers: practices, attitudes, and knowledge. | LΓ‘zaro-MuΓ±oz G et al. | β | 2021 | β |
| Role of BDNF in the pathophysiology and treatment of depression: Activity-dependent effects distinguish rapid-acting antidepressants. | Duman RS et al. | β | 2021 | β |
| Shared genetic architecture across psychiatric disorders. | Grotzinger AD | β | 2021 | β |
| Teenagers and Precision Psychiatry: A Window of Opportunity. | Sabatello M et al. | β | 2021 | β |
| The conserved ASTN2/BRINP1 locus at 9q33.1-33.2 is associated with major psychiatric disorders in a large pedigree from Southern Spain. | Pol-Fuster J et al. | β | 2021 | β |
| The Exposome Paradigm to Understand the Environmental Origins of Mental Disorders. | Erzin G et al. | β | 2021 | β |
| The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology. | Knott R et al. | β | 2021 | β |
| The Role of Genetics in Bipolar Disorder. | Fabbri C | β | 2021 | β |
| The state of the science in psychiatric genomics. | Sullivan PF et al. | β | 2021 | β |
| Translating Across Circuits and Genetics Toward Progress in Fear- and Anxiety-Related Disorders. | Ressler KJ | β | 2021 | β |
| Translational genomics and beyond in bipolar disorder. | Zhang C et al. | β | 2021 | β |
| Using Genomic Techniques in Sports and Exercise Science: Current Status and Future Opportunities. | Griswold AJ et al. | β | 2021 | β |
| A major role for common genetic variation in anxiety disorders. | Purves KL et al. | β | 2020 | β |
| A method for estimating coherence of molecular mechanisms in major human disease and traits. | Dozmorov MG et al. | β | 2020 | β |
| Annual Research Review: Rethinking childhood trauma-new research directions for measurement, study design and analytical strategies. | Danese A | β | 2020 | β |
| Association between polygenic liability for schizophrenia and substance involvement: A nationwide population-based study in Taiwan. | Wang SH et al. | β | 2020 | β |
| Big Data Begin in Psychiatry. | Weissman MM | β | 2020 | β |
| Biological fingerprints for psychosis. | Tamminga CA et al. | β | 2020 | β |
| Blood plasma proteomic modulation induced by olanzapine and risperidone in schizophrenia patients. | Garcia-Rosa S et al. | β | 2020 | β |
| Causes and Consequences of Diagnostic Heterogeneity in Depression: Paths to Discovering Novel Biological Depression Subtypes. | Lynch CJ et al. | β | 2020 | β |
| Cell-Type-Specific Proteogenomic Signal Diffusion for Integrating Multi-Omics Data Predicts Novel Schizophrenia Risk Genes. | Torshizi AD et al. | β | 2020 | β |
| Challenges of Mood Disorders Care. | β | β | 2020 | β |
| Characterization of genetically complex Collaborative Cross mouse strains that model divergent locomotor activating and reinforcing properties of cocaine. | Schoenrock SA et al. | β | 2020 | β |
| Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression. | Glanville KP et al. | β | 2020 | β |
| Clinical brain PET research must embrace multi-centre collaboration and data sharing or risk its demise. | Matheson GJ et al. | β | 2020 | β |
| Clock gene polygenic risk score and seasonality in major depressive disorder and bipolar disorder. | Ferrer A et al. | β | 2020 | β |
| Cohort profile: the Australian genetics of depression study. | Byrne EM et al. | β | 2020 | β |
| Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry. | Bigdeli TB et al. | β | 2020 | β |
| Detection of Rare Methyl-CpG Binding Protein 2 Gene Missense Mutations in Patients With Schizophrenia. | Chen CH et al. | β | 2020 | β |
| Early Environmental Exposures and Contaminants: a Design Framework for Biospecimen Collection and Analysis for a Prospective National Birth Cohort. | Croff JM et al. | β | 2020 | β |
| Ethical issues in global neuroimaging genetics collaborations. | Palk A et al. | β | 2020 | β |
| Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm. | Santos HP et al. | β | 2020 | β |
| Examining Gene-Environment Interactions Using Aggregate Scores in a First-Episode Psychosis Cohort. | Mas S et al. | β | 2020 | β |
| Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review. | Bourdon JL et al. | β | 2020 | β |
| Gene-set Enrichment with Mathematical Biology (GEMB). | Cochran AL et al. | β | 2020 | β |
| Genetic Liability for Depression, Social Factors and Their Interaction Effect in Depressive Symptoms and Depression Over Time in Older Adults. | Stringa N et al. | β | 2020 | β |
| Genetic liability in individuals at ultra-high risk of psychosis: A comparison study of 9 psychiatric traits. | Lim K et al. | β | 2020 | β |
| Genetic Variation in CNS Myelination and Functional Brain Connectivity in Recombinant Inbred Mice. | Goudriaan A et al. | β | 2020 | β |
| Heritability of overlapping impulsivity and compulsivity dimensional phenotypes. | Tiego J et al. | β | 2020 | β |
| Implicit bias of encoded variables: frameworks for addressing structured bias in EHR-GWAS data. | DueΓ±as HR et al. | β | 2020 | β |
| Induced pluripotent stem cell reprogramming-associated methylation at the GABRA2 promoter and chr4p12 GABA<sub>A</sub> subunit gene expression in the context of alcohol use disorder. | Goetjen A et al. | β | 2020 | β |
| Intergenerational psychiatry: a new look at a powerful perspective. | Duarte CS et al. | β | 2020 | β |
| International Consortium on the Genetics of Electroconvulsive Therapy and Severe Depressive Disorders (Gen-ECT-ic). | Soda T et al. | β | 2020 | β |
| Introducing <i>Complex Psychiatry</i>. | Gelernter J et al. | β | 2020 | β |
| Investigation of Schizophrenia with Human Induced Pluripotent Stem Cells. | Powell SK et al. | β | 2020 | β |
| Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium. | Polimanti R et al. | β | 2020 | β |
| Maternal antenatal depression and child mental health: Moderation by genomic risk for attention-deficit/hyperactivity disorder. | Chen LM et al. | β | 2020 | β |
| Mental Health Disease or Preventable Problem? Australian Dog Trainers' Opinions about Canine Separation Anxiety Differ with Training Style. | Hunter T et al. | β | 2020 | β |
| Minimal phenotyping yields genome-wide association signals of low specificity for major depression. | Cai N et al. | β | 2020 | β |
| Pharmacogenomic Biomarkers and Their Applications in Psychiatry. | Kam H et al. | β | 2020 | β |
| Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk. | Perkins DO et al. | β | 2020 | β |
| Prospects for finding the mechanisms of sex differences in addiction with human and model organism genetic analysis. | Datta U et al. | β | 2020 | β |
| Psychiatric genomics researchers' perspectives on best practices for returning results to individual participants. | Kostick K et al. | β | 2020 | β |
| Rare copy number variants in individuals at clinical high risk for psychosis: Enrichment of synaptic/brain-related functional pathways. | Jagannath V et al. | β | 2020 | β |
| Redefining phenotypes to advance psychiatric genetics: Implications from hierarchical taxonomy of psychopathology. | Waszczuk MA et al. | β | 2020 | β |
| Researcher Perspectives on Data Sharing in Deep Brain Stimulation. | Zuk P et al. | β | 2020 | β |
| RICOPILI: Rapid Imputation for COnsortias PIpeLIne. | Lam M et al. | β | 2020 | β |
| Risk and protective factors for anxiety and obsessive-compulsive disorders: an umbrella review of systematic reviews and meta-analyses. | Fullana MA et al. | β | 2020 | β |
| Risk Stratification for Bipolar Disorder Using Polygenic Risk Scores Among Young High-Risk Adults. | Biere S et al. | β | 2020 | β |
| Schizophrenia research in the era of Team Science and big data. | Senthil G et al. | β | 2020 | β |
| The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. | Coleman JRI et al. | β | 2020 | β |
| The Heterogeneity of Mental Health Assessment. | Newson JJ et al. | β | 2020 | β |
| The polygenic architecture of schizophrenia - rethinking pathogenesis and nosology. | Smeland OB et al. | β | 2020 | β |
| Top ten discoveries of the year: Neurodevelopmental disorders. | Dierssen M | β | 2020 | β |
| Translating Across Circuits and Genetics Toward Progress in Fear- and Anxiety-Related Disorders. | Ressler KJ | β | 2020 | β |
| Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action. | Manchia M et al. | β | 2020 | β |
| Translating Discoveries in Attention-Deficit/Hyperactivity Disorder Genomics to an Outpatient Child and Adolescent Psychiatric Cohort. | Vuijk PJ et al. | β | 2020 | β |
| Understanding the mechanisms of treatment response in depression, focus on electro-convulsive therapy. | Binder EB | β | 2020 | β |
| Using Genetics to Examine a General Liability to Childhood Psychopathology. | Riglin L et al. | β | 2020 | β |
| Using Two- and Three-Dimensional Human iPSC Culture Systems to Model Psychiatric Disorders. | Christian KM et al. | β | 2020 | β |
| Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum. | Kotov R et al. | β | 2020 | β |
| A Fast and Flexible Framework for Network-Assisted Genomic Association. | Carlin DE et al. | β | 2019 | β |
| A Longitudinal Model of Human Neuronal Differentiation for Functional Investigation of Schizophrenia Polygenic Risk. | Ori APS et al. | β | 2019 | β |
| Altered Connectivity in Depression: GABA and Glutamate Neurotransmitter Deficits and Reversal by Novel Treatments. | Duman RS et al. | β | 2019 | β |
| Association of Maternal Neurodevelopmental Risk Alleles With Early-Life Exposures. | Leppert B et al. | β | 2019 | β |
| A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder. | Dezhina Z et al. | β | 2019 | β |
| Attitudes toward the right to autonomous decision-making in psychiatric genetic testing: Controversial and context-dependent. | Strohmaier J et al. | β | 2019 | β |
| Biological annotation of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals. | Coleman JRI et al. | β | 2019 | β |
| [Breakthrough in understanding the molecular causes of psychiatric disorders]. | NΓΆthen MM et al. | β | 2019 | β |
| Clinical phenotype and genetic risk factors for bipolar disorder with binge eating: an update. | Cuellar-Barboza AB et al. | β | 2019 | β |
| Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders. | Wendt FR et al. | β | 2019 | β |
| Defining the Genetic, Genomic, Cellular, and Diagnostic Architectures of Psychiatric Disorders. | Sullivan PF et al. | β | 2019 | β |
| Depression: more treatment but no drop in prevalence: how effective is treatment? And can we do better? | Ormel J et al. | β | 2019 | β |
| Developmental Contributions of Schizophrenia Risk Alleles and Childhood Peer Victimization to Early-Onset Mental Health Trajectories. | Riglin L et al. | β | 2019 | β |
| Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework. | Hur J et al. | β | 2019 | β |
| Do human subject safeguards matter to potential participants in psychiatric genetic research? | Roberts LW et al. | β | 2019 | β |
| Dynamic expression of genes associated with schizophrenia and bipolar disorder across development. | Clifton NE et al. | β | 2019 | β |
| Eating Disorders: An Evolutionary Psychoneuroimmunological Approach. | Rantala MJ et al. | β | 2019 | β |
| EMSY expression affects multiple components of the skin barrier with relevance to atopic dermatitis. | Elias MS et al. | β | 2019 | β |
| Enhanced Molecular Appreciation of Psychiatric Disorders Through High-Dimensionality Data Acquisition and Analytics. | van Gastel J et al. | β | 2019 | β |
| Evidence of association of the DISC1 interactome gene set with schizophrenia from GWAS. | Facal F et al. | β | 2019 | β |
| Examining the independent and joint effects of molecular genetic liability and environmental exposures in schizophrenia: results from the EUGEI study. | Guloksuz S et al. | β | 2019 | β |
| Factors Associated With Brain Heterogeneity in Schizophrenia-Reply. | AlnΓ¦s D et al. | β | 2019 | β |
| From Many to One to Many-the Search for Causes of Psychiatric Illness. | Kendler KS | β | 2019 | β |
| Genetic and environmental influences on gambling disorder liability: a replication and combined analysis of two twin studies. | Davis CN et al. | β | 2019 | β |
| Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. | HΓΌbel C et al. | β | 2019 | β |
| Genetic risk factors for eating disorders: an update and insights into pathophysiology. | Himmerich H et al. | β | 2019 | β |
| Genetics and epigenetics as tools to inform the pathophysiology of neuropsychiatric disorders. | Fries GR | β | 2019 | β |
| Genetics of Eating Disorders: What the Clinician Needs to Know. | Bulik CM et al. | β | 2019 | β |
| Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders. | Cross-Disorder Group of the Psychiatric Genomics Consortium. Electronic address: plee0@mgh.harvard.edu et al. | β | 2019 | β |
| Genomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B. | Radhakrishnan K et al. | β | 2019 | β |
| Harnessing Progress in Psychiatric Genetics to Advance Population Mental Health. | Merikangas KR et al. | β | 2019 | β |
| Heterotypic trajectories of dimensional psychopathology across the lifespan: the case of youth-onset attention deficit/hyperactivity disorder. | Manfro AG et al. | β | 2019 | β |
| How genome-wide association studies (GWAS) made traditional candidate gene studies obsolete. | Duncan LE et al. | β | 2019 | β |
| Integrating behavioural health tracking in human genetics research. | Freimer NB et al. | β | 2019 | β |
| Integrating Genomics into Psychiatric Practice: Ethical and Legal Challenges for Clinicians. | Ward ET et al. | β | 2019 | β |
| Interactions between FKBP5 variation and environmental stressors in adolescent Major Depression. | Piechaczek CE et al. | β | 2019 | β |
| International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci. | Nievergelt CM et al. | β | 2019 | β |
| International Society of Psychiatric Genetics Ethics Committee: Issues facing us. | LΓ‘zaro-MuΓ±oz G et al. | β | 2019 | β |
| Mapping causal pathways from genetics to neuropsychiatric disorders using genome-wide imaging genetics: Current status and future directions. | Le BD et al. | β | 2019 | β |
| National Institute on Drug Abuse genomics consortium white paper: Coordinating efforts between human and animal addiction studies. | Cates HM et al. | β | 2019 | β |
| Neural circuitry and precision medicines for mental disorders: are they compatible? | Dean CE | β | 2019 | β |
| Non-coding genetic variation shaping mental health. | Quinn JP et al. | β | 2019 | β |
| Polygenic risk for schizophrenia, disordered eating behaviours and body mass index in adolescents. | Solmi F et al. | β | 2019 | β |
| Polygenic Risk Scores for Psychiatric Disorders Reveal Novel Clues About the Genetics of Disordered Gambling. | Piasecki TM et al. | β | 2019 | β |
| Preventing discrimination based on psychiatric risk biomarkers. | Brannan C et al. | β | 2019 | β |
| Psychiatric genetics and the structure of psychopathology. | Smoller JW et al. | β | 2019 | β |
| Psychiatric Genetics Begins to Find Its Footing. | Smoller JW | β | 2019 | β |
| Rare compound heterozygous missense <i>SPATA7</i> variations and risk of schizophrenia; whole-exome sequencing in a consanguineous family with affected siblings, follow-up sequencing and a case-control study. | Igeta H et al. | β | 2019 | β |
| Reconceptualizing anorexia nervosa. | Bulik CM et al. | β | 2019 | β |
| Reconstruction and Analysis of Gene Networks of Human Neurotransmitter Systems Reveal Genes with Contentious Manifestation for Anxiety, Depression, and Intellectual Disabilities. | Ivanov R et al. | β | 2019 | β |
| Redirecting the revolution: new developments in drug development for psychiatry. | Brady LS et al. | β | 2019 | β |
| Rediscovering the value of families for psychiatric genetics research. | Glahn DC et al. | β | 2019 | β |
| Schizophrenia Polygenic Risk Score as a Predictor of Antipsychotic Efficacy in First-Episode Psychosis. | Zhang JP et al. | β | 2019 | β |
| Sex Differences in the Epigenome: A Cause or Consequence of Sexual Differentiation of the Brain? | Gegenhuber B et al. | β | 2019 | β |
| Shared and specific genetic risk factors for lifetime major depression, depressive symptoms and neuroticism in three population-based twin samples. | Kendler KS et al. | β | 2019 | β |
| The emerging pattern of shared polygenic architecture of psychiatric disorders, conceptual and methodological challenges. | Smeland OB et al. | β | 2019 | β |
| The ethics of global psychiatric genomics: Multilayered challenges to integrating genomics in global mental health and disability-A position paper of the Oxford Global Initiative in Neuropsychiatric GenEthics (NeuroGenE). | Kong C et al. | β | 2019 | β |
| The genetics of depression: successful genome-wide association studies introduce new challenges. | Ormel J et al. | β | 2019 | β |
| The genomics of major psychiatric disorders in a large pedigree from Northern Sweden. | Szatkiewicz J et al. | β | 2019 | β |
| The Translational Potential of Neuroimaging Genomic Analyses To Diagnosis And Treatment In The Mental Disorders. | Chen J et al. | β | 2019 | β |
| U-Flourish university students well-being and academic success longitudinal study: a study protocol. | Goodday SM et al. | β | 2019 | β |
| Uncovering the Genetic Architecture of Major Depression. | McIntosh AM et al. | β | 2019 | β |
| Using Openly Accessible Resources to Strengthen Causal Inference in Epigenetic Epidemiology of Neurodevelopment and Mental Health. | Walton E et al. | β | 2019 | β |
| What is a Medical Information Commons? | Bollinger JM et al. | β | 2019 | β |
| 2018 in Review. | Freedman R et al. | β | 2018 | β |
| Advances in our understanding of the genetics of childhood neurodevelopmental disorders. | Doherty J et al. | β | 2018 | β |
| AJP at 175: Remembering Our Past as We Envision Our Future. | Freedman R | β | 2018 | β |
| A novel homozygous mutation in GAD1 gene described in a schizophrenic patient impairs activity and dimerization of GAD67 enzyme. | Magri C et al. | β | 2018 | β |
| Areas of uncertainties and unmet needs in bipolar disorders: clinical and research perspectives. | Bauer M et al. | β | 2018 | β |
| Cognitive and Functional Assessment of Psychosis Stratification Study (CoFAPSS): Rationale, Design, and Characteristics. | Clark SR et al. | β | 2018 | β |
| Developmental Delay, Treatment-Resistant Psychosis, and Early-Onset Dementia in a Man With 22q11 Deletion Syndrome and Huntington's Disease. | Farrell M et al. | β | 2018 | β |
| Discoveries on the Genetics of ADHD in the 21st Century: New Findings and Their Implications. | Thapar A | β | 2018 | β |
| Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia. | Bryois J et al. | β | 2018 | β |
| GABA<sub>A</sub> receptor polymorphisms in alcohol use disorder in the GWAS era. | Koulentaki M et al. | β | 2018 | β |
| Genetics of biologically based psychological differences. | Sallis H et al. | β | 2018 | β |
| Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. | Wray NR et al. | β | 2018 | β |
| Genomic Approaches to Posttraumatic Stress Disorder: The Psychiatric Genomic Consortium Initiative. | Nievergelt CM et al. | β | 2018 | β |
| Getting Serious about Variation: Lessons for Clinical Neuroscience (A Commentary on 'The Myth of Optimality in Clinical Neuroscience'). | Shackman AJ et al. | β | 2018 | β |
| Grandmaternal Diethylstilbesterol and Attention-Deficit/Hyperactivity Disorder in Children. | Costas J | β | 2018 | β |
| Impaired Antisaccades in Obsessive-Compulsive Disorder: Evidence From Meta-Analysis and a Large Empirical Study. | Bey K et al. | β | 2018 | β |
| Improved ethical guidance for the return of results from psychiatric genomics research. | LΓ‘zaro-MuΓ±oz G et al. | β | 2018 | β |
| Investigating the Role of Micronutrients in Brain Development and Psychiatric Disorders via Magnetic Resonance Imaging. | Paus T | β | 2018 | β |
| Meta-Analysis of Genetic Influences on Initial Alcohol Sensitivity. | Edwards AC et al. | β | 2018 | β |
| Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. | Bogdan R et al. | β | 2018 | β |
| Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps. | Dick DM et al. | β | 2018 | β |
| Precision pharmacotherapy: psychiatry's future direction in preventing, diagnosing, and treating mental disorders. | Menke A | β | 2018 | β |
| Precision Psychiatry-Will Genomic Medicine Lead the Way? | Stein MB et al. | β | 2018 | β |
| PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores. | Chen LM et al. | β | 2018 | β |
| Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. | Davies NM et al. | β | 2018 | β |
| Rigor and reproducibility in genetic research on eating disorders. | HΓΌbel C et al. | β | 2018 | β |
| Robust Findings From 25Β Years of PTSD Genetics Research. | Duncan LE et al. | β | 2018 | β |
| The Anorexia Nervosa Genetics Initiative (ANGI): Overview and methods. | Thornton LM et al. | β | 2018 | β |
| The Exposome Paradigm and the Complexities of Environmental Research in Psychiatry. | Guloksuz S et al. | β | 2018 | β |
| The iPSYCH2012 case-cohort sample: new directions for unravelling genetic and environmental architectures of severe mental disorders. | Pedersen CB et al. | β | 2018 | β |
| The Italian autism network (ITAN): a resource for molecular genetics and biomarker investigations. | Muglia P et al. | β | 2018 | β |
| The role of genetics and genomics in clinical psychiatry. | Hoehe MR et al. | β | 2018 | β |
| Toward Precision Psychiatry in Bipolar Disorder: Staging 2.0. | Salagre E et al. | β | 2018 | β |
| Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. | Walters RK et al. | β | 2018 | β |
| Transforming Psychiatry into Data-Driven Medicine with Digital Measurement Tools. | Hsin H et al. | β | 2018 | β |
| Traumatic stress and accelerated DNA methylation age: A meta-analysis. | Wolf EJ et al. | β | 2018 | β |
| Understanding the Molecular Mechanisms Underpinning Gene by Environment Interactions in Psychiatric Disorders: The FKBP5 Model. | Matosin N et al. | β | 2018 | β |
| Updates on Genome-Wide Association Findings in Eating Disorders and Future Application to Precision Medicine. | Breithaupt L et al. | β | 2018 | β |
| An Expanded View of Complex Traits: From Polygenic to Omnigenic. | Boyle EA et al. | β | 2017 | β |
| Genetics of Tinnitus: Time to Biobank Phantom Sounds. | Cederroth CR et al. | β | 2017 | β |
| How Good Were Candidate Gene Guesses in Schizophrenia Genetics? | Sullivan PF | β | 2017 | β |
| Leveraging psychiatric and medical genetics to understand comorbid depression and obesity. | Docherty AR | β | 2017 | β |