Evaluating historical candidate genes for schizophrenia.

paper Cited Public

Authors: Farrell, M S; Werge, T; Sklar, P; Owen, M J; Ophoff, R A; O'Donovan, M C; Corvin, A; Cichon, S; Sullivan, P F
Year: 2015
Journal: Molecular psychiatry
PMID: 25754081
DOI: 10.1038/mp.2015.16
PMCID: PMC4414705

Figure 1

Candidate gene publications per gene and per year. For each gene, the number of publications is indicated on the Y-axis, and the year is the X-axis. The data shown are from a PubMed query: (gene [All Fields] OR “protein name”[All Fields]) AND (“schizophrenia”[MeSH Terms] OR “schizophrenia”[All Fields]). The goal of this PubMed query was to provide a rough gauge of the impact of a candidate gene on the field (which differs from the “pre-GWAS” column in Table 1).

LLM interpretation

This figure consists of a grid of 25 line plots showing the number of PubMed publications per year for various candidate genes associated with schizophrenia. The X-axis represents the year (from 1990 to 2010) and the Y-axis represents the number of papers (ranging from 0 to 100). While most genes show low or stable publication counts, genes such as BDNF, DISC1, DRD2, and NRG1 exhibit a clear upward trend in publication volume over time.

Figure 2

How many biologically interesting human genes are there?This bioinformatic analysis addressed the question: how many human genes are of legitimate interest to an integrative neuroscientist or psychiatric geneticist? (A) We intersected 19,304 gene models from GENCODE (v17, “KNOWN” or “protein_coding”) with multiple data sources. Some genes can be in multiple categories. (B) Summary statistics (1=in set, 0=not in set): 35.6% of all genes are in classes A or B (=6869/19304), and 61.4% of all genes are in classes A, B, or C (=11849/19304). These numbers are conservative as adding “expression in brain at any developmental stage” would increase the numbers further. Thus, sizable proportions of all genes are of potential interest to a biologist. Biological interest is an imprecise criterion for the salience of a finding.

LLM interpretation

Figure (A) is a table categorizing 19,304 human genes into three classes (A, B, and C) based on various bioinformatic criteria, such as GWAS implications, differential expression in the brain, and disease associations, with gene counts provided for each type. Figure (B) consists of three bar charts showing the frequency of genes in each class and a summary table detailing the overlap between these classes. The summary table indicates that 38.62% of genes do not fall into any of the three categories, while various percentages represent genes belonging to one or more combinations of classes A, B, and C.

#	Section	Preview
20	Discussion — Historical candidate genes for schizophrenia in light of current empirical results	Third, even before the current generation of large genomic studies for schizophrenia, it was…
21	Discussion — Historical candidate genes for schizophrenia in light of current empirical results	Fourth, the largest and most carefully conducted schizophrenia common variant association study does…
22	Discussion — Historical candidate genes for schizophrenia in light of current empirical results	Fifth, one historical candidate gene (DISC1) studied a rare genetic event, the t(1;11) (q42.1;q14.3)…
23	Discussion — Historical candidate genes for schizophrenia in light of current empirical results	In conclusion, the current evidence from large and carefully conducted studies of genetic variation…
24	Discussion — Alternative perspectives on historical candidate genes for schizophrenia	The opinions of experts play a role in science particularly when there are few hard data, and have…
25	Discussion — Alternative perspectives on historical candidate genes for schizophrenia	Second, we obtained ratings from 24 schizophrenia geneticists. The mean ratings were ≥4 for only…
26	Discussion — Alternative perspectives on historical candidate genes for schizophrenia	We contend that this “biological validation” argument is weak, subjective, prone to incorrect…
27	Discussion — Alternative perspectives on historical candidate genes for schizophrenia	Fourth, the criterion of biological salience is surprisingly inclusive. A large fraction of human…
28	Discussion — Alternative perspectives on historical candidate genes for schizophrenia	Fifth, this argument is counter to best practices in human genetics that demand rigorous…
29	Discussion — Alternative perspectives on historical candidate genes for schizophrenia	Sixth, this argument is not accepted by many journals. Nature Genetics requires: “the genetic and…
30	Discussion — Alternative perspectives on historical candidate genes for schizophrenia	Finally, we note that invoking the biological argument is unnecessary. If statistical significance…
31	Discussion — Limitations - Can any historical candidate gene be formally excluded?	We have been careful to state that the current genomic evidence is inconsistent with an association…
32	Discussion — Limitations - Can any historical candidate gene be formally excluded?	Moreover, the location of some associations could provide a false clue, as genetic associations can…
33	Discussion — Limitations - Can any historical candidate gene be formally excluded?	It can also be argued that the genetic models used in the current generation of genomic studies for…
34	Discussion — Conclusion	In summary, the current empirical evidence strongly supports the idea that the historical candidate…

Name	Type
108 genome-wide significant loci local	variant
AKT1	gene
alcohol	phenotype
alcohol dependence	phenotype
alcohol metabolic genes local	gene
Alzheimer’s disease	phenotype
antipsychotics	drug
apoE	gene
APOE ε4 allele	gene
APP	gene
autism	phenotype
Bdnf	gene
bipolar disorder	phenotype
candidate genes	cohort
candidate gene studies local	cohort
candidate gene study	cohort
Chrna7	gene
common variants	cohort
common variation	variant
COMT	gene
DAO	gene
DAOA	gene
DISC1	gene
disease gene local	gene
DRD2	gene
DRD3	gene
DRD4	gene
DTNBP1	gene
Early-onset Alzheimer’s disease	phenotype
endophenotype	phenotype
genetic marker	variant
GRM3	gene
historical candidate genes local	gene
Htr2a	gene
human genes	gene
independent families local	cohort
informed investigators local	cohort
KCNN3	gene
major depressive disorder	phenotype
MTHFR	gene
NOTCH4 local	gene
NRG1	gene
particular gene local	gene
PGC	cohort
PGC mega-analysis local	cohort
PGC schizophrenia mega-analysis local	cohort
PGC schizophrenia working group local	cohort
population	cohort
PPP3CC	gene
PRODH local	gene
PSEN1	gene
PSEN2	gene
psychiatric disorders	phenotype
Psychiatric Genomics Consortium	cohort
rare CNVs	variant
Rare exonic variants local	variant
rare variant	cohort
RGS4	gene
schizophrenia	phenotype
schizophrenia geneticists local	cohort
Schizophrenia geneticists local	cohort
Scottish pedigree local	cohort
SLC6A3	gene
SLC6A4	gene
SNP	cohort
SZGene local	cohort
SZGene meta-analyses local	cohort
t(1;11) translocation	variant
TNF	gene
ZDHHC8	gene

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What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group.	Ching CRK et al.	—	2022	→
Abnormalities in the copper transporter CTR1 in postmortem hippocampus in schizophrenia: A subregion and laminar analysis.	Schoonover KE et al.	—	2021	→
Additive effect of glutathione S-transferase T1 active genotype and infection with <i>Toxoplasma gondii</i> for increasing the risk of schizophrenia.	Ansari-Lari M et al.	—	2021	→
A genetic risk score using human chromosomal-scale length variation can predict schizophrenia.	Toh C et al.	—	2021	→
Alteration of NMDA receptor trafficking as a cellular hallmark of psychosis.	Espana A et al.	—	2021	→
American psychiatry in the new millennium: a critical appraisal.	Scull A	—	2021	→
A Novel Variant in Dopamine Receptor Type 2 Gene is Associated with Schizophrenia.	Hanif F et al.	—	2021	→
Associations of Genetic Polymorphisms and Neuroimmune Markers With Some Parameters of Frontal Lobe Dysfunction in Schizophrenia.	Morozova A et al.	—	2021	→
Astrocyte Bioenergetics and Major Psychiatric Disorders.	Maly IV et al.	—	2021	→
Astrocytes in schizophrenia.	Notter T	—	2021	→
Dissecting autism and schizophrenia through neuroimaging genomics.	Moreau CA et al.	—	2021	→
Ditching candidate gene association studies: lessons from psychiatric genetics.	Duarte RRR et al.	—	2021	→
Dysregulation of GABAergic Signaling in Neurodevelomental Disorders: Targeting Cation-Chloride Co-transporters to Re-establish a Proper E/I Balance.	Cherubini E et al.	—	2021	→
Electrophysiological correlates of visual backward masking in patients with bipolar disorder.	Garobbio S et al.	—	2021	→
Endocannabinoid Gene × Gene Interaction Association to Alcohol Use Disorder in Two Adolescent Cohorts.	Elkrief L et al.	—	2021	→
Genetic and functional analysis reveals <i>TENM4</i> contributes to schizophrenia.	Yi X et al.	—	2021	→
Genetic underpinnings of schizophrenia-related electroencephalographical intermediate phenotypes: A systematic review and meta-analysis.	Hederih J et al.	—	2021	→
Immunohistological Examination of AKT Isoforms in the Brain: Cell-Type Specificity That May Underlie AKT's Role in Complex Brain Disorders and Neurological Disease.	Levenga J et al.	—	2021	→
Individual Differences in Intertemporal Choice.	Keidel K et al.	—	2021	→
Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders.	Searles Quick VB et al.	—	2021	→
Mitochondrial Miro GTPases coordinate mitochondrial and peroxisomal dynamics.	Zinsmaier KE	—	2021	→
New Insights Regarding Diagnosis and Medication for Schizophrenia Based on Neuronal Synapse-Microglia Interaction.	Izuo N et al.	—	2021	→
Schizophrenia-associated SLC39A8 polymorphism is a loss-of-function allele altering glutamate receptor and innate immune signaling.	Tseng WC et al.	—	2021	→
Sex-dimorphic effects of biogenesis of lysosome-related organelles complex-1 deficiency on mouse perinatal brain development.	Lee FY et al.	—	2021	→
Smartphones and the Neuroscience of Mental Health.	Gillan CM et al.	—	2021	→
The genetic basis of major depression.	Kendall KM et al.	—	2021	→
The state of the science in psychiatric genomics.	Sullivan PF et al.	—	2021	→
Twin studies to GWAS: there and back again.	Friedman NP et al.	—	2021	→
Weak Association Between the Glutamate Decarboxylase 1 Gene (GAD1) and Schizophrenia in Han Chinese Population.	Zhang L et al.	—	2021	→
ADHD 24/7: Circadian clock genes, chronotherapy and sleep/wake cycle insufficiencies in ADHD.	Korman M et al.	—	2020	→
Astrocyte DISC1 contributes to cognitive function in a brain region-dependent manner.	Shevelkin AV et al.	—	2020	→
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.	Thompson PM et al.	—	2020	→
Estradiol reverses excitatory synapse loss in a cellular model of neuropsychiatric disorders.	Erli F et al.	—	2020	→
Genetic Determinants of Gating Functions: Do We Get Closer to Understanding Schizophrenia Etiopathogenesis?	Rovný R et al.	—	2020	→
Host-parasite interaction associated with major mental illness.	Kano SI et al.	—	2020	→
Identification and prioritization of gene sets associated with schizophrenia risk by co-expression network analysis in human brain.	Radulescu E et al.	—	2020	→
Investigation of Schizophrenia with Human Induced Pluripotent Stem Cells.	Powell SK et al.	—	2020	→
Isoform-specific roles for AKT in affective behavior, spatial memory, and extinction related to psychiatric disorders.	Wong H et al.	—	2020	→
Neural anomalies during vigilance in schizophrenia: Diagnostic specificity and genetic associations.	Klein SD et al.	—	2020	→
Neuregulin 1: an intriguing therapeutic target for neurodevelopmental disorders.	Shi L et al.	—	2020	→
On the diagnostic and neurobiological origins of bipolar disorder.	Charney AW et al.	—	2020	→
Overview of schizophrenia research and treatment in Pakistan.	Nawaz R et al.	—	2020	→
Pharmacogenomic Biomarkers and Their Applications in Psychiatry.	Kam H et al.	—	2020	→
Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection.	Cuéllar-Barboza AB et al.	—	2020	→
Schizophrenia research in the era of Team Science and big data.	Senthil G et al.	—	2020	→
Synonymous polymorphism rs201256011 in dopamine receptor type 2 gene is associated with schizophrenia and PANSS score in Pakistani population: A first report.	Amir QU et al.	—	2020	→
The behavioral and neurochemical characterization of a Drosophila dysbindin mutant supports the contribution of serotonin to schizophrenia negative symptoms.	Hidalgo S et al.	—	2020	→
The genetics of drug-related movement disorders, an umbrella review of meta-analyses.	van der Burg NC et al.	—	2020	→
Translational Genomics in Neurocritical Care: a Review.	Myserlis P et al.	—	2020	→
Understanding the genetics of neuropsychiatric disorders: the potential role of genomic regulatory blocks.	Barešić A et al.	—	2020	→
A decade in psychiatric GWAS research.	Horwitz T et al.	—	2019	→
Adolescent Δ<sup>9</sup>-Tetrahydrocannabinol Exposure and Astrocyte-Specific Genetic Vulnerability Converge on Nuclear Factor-κB-Cyclooxygenase-2 Signaling to Impair Memory in Adulthood.	Jouroukhin Y et al.	—	2019	→
Altered Expression of a Unique Set of Genes Reveals Complex Etiology of Schizophrenia.	Kumar A et al.	—	2019	→
An Overview of Animal Models Related to Schizophrenia.	Winship IR et al.	—	2019	→
A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder.	Dezhina Z et al.	—	2019	→
Cannabis and Psychosis Through the Lens of DSM-5.	Pearson NT et al.	—	2019	→
Cannabis and the Developing Brain: Insights into Its Long-Lasting Effects.	Hurd YL et al.	—	2019	→
Comparative analysis of cellular expression pattern of schizophrenia risk genes in human versus mouse cortex.	Zhang HL et al.	—	2019	→
Defining the Genetic, Genomic, Cellular, and Diagnostic Architectures of Psychiatric Disorders.	Sullivan PF et al.	—	2019	→
Developmental Genes and Regulatory Proteins, Domains of Cognitive Impairment in Schizophrenia Spectrum Psychosis and Implications for Antipsychotic Drug Discovery: The Example of Dysbindin-1 Isoforms and Beyond.	Waddington JL et al.	—	2019	→
Discovery of rare variants implicated in schizophrenia using next-generation sequencing.	Rhoades R et al.	—	2019	→
Elevated cleavage of neuregulin-1 by beta-secretase 1 in plasma of schizophrenia patients.	Zhang Z et al.	—	2019	→
Evidence of association of the DISC1 interactome gene set with schizophrenia from GWAS.	Facal F et al.	—	2019	→
Female gender specific association of the Reelin (RELN) gene rs7341475 variant with schizophrenia.	Sozuguzel MD et al.	—	2019	→
Genetics of clozapine-associated neutropenia: recent advances, challenges and future perspective.	Legge SE et al.	—	2019	→
Genomic basis of delayed reward discounting.	Gray JC et al.	—	2019	→
Genomic updates in understanding PTSD.	Sharma S et al.	—	2019	→
Imputation of behavioral candidate gene repeat variants in 486,551 publicly-available UK Biobank individuals.	Border R et al.	—	2019	→
Influence of CTNNB1 rs2953 polymorphism on schizophrenia susceptibility in Chinese Han population through modifying miR-485 binding to CTNNB1.	Guo X et al.	—	2019	→
Integrating Genomics into Psychiatric Practice: Ethical and Legal Challenges for Clinicians.	Ward ET et al.	—	2019	→
Mapping causal pathways from genetics to neuropsychiatric disorders using genome-wide imaging genetics: Current status and future directions.	Le BD et al.	—	2019	→
Mega-analysis of Odds Ratio: A Convergent Method for a Deep Understanding of the Genetic Evidence in Schizophrenia.	Jia P et al.	—	2019	→
Meta-analysis of genomic variants and gene expression data in schizophrenia suggests the potential need for adjunctive therapeutic interventions for neuropsychiatric disorders.	Anirudh Chellappa S et al.	—	2019	→
No Support for Historical Candidate Gene or Candidate Gene-by-Interaction Hypotheses for Major Depression Across Multiple Large Samples.	Border R et al.	—	2019	→
Potentially repurposable drugs for schizophrenia identified from its interactome.	Karunakaran KB et al.	—	2019	→
Protein misassembly and aggregation as potential convergence points for non-genetic causes of chronic mental illness.	Bradshaw NJ et al.	—	2019	→
Relationships between substance abuse/dependence and psychiatric disorders based on polygenic scores.	Gurriarán X et al.	—	2019	→
Response to the Letter from Dr. Jacob Peedicayil.	Sakuma K et al.	—	2019	→
The schizophrenia genetics knowledgebase: a comprehensive update of findings from candidate gene studies.	Liu C et al.	—	2019	→
Treating the "E" in "G × E": Trauma-Informed Approaches and Psychological Therapy Interventions in Psychosis.	Gianfrancesco O et al.	—	2019	→
Uncovering the Genetic Architecture of Major Depression.	McIntosh AM et al.	—	2019	→
Usefulness of Single Nucleotide Polymorphisms as Predictors of Sudden Cardiac Death.	Tamariz L et al.	—	2019	→
Altered hippocampal gene expression and structure in transgenic mice overexpressing neuregulin 1 (Nrg1) type I.	Deakin IH et al.	—	2018	→
An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder.	Werling DM et al.	—	2018	→
A New <i>T. gondii</i> Mouse Model of Gene-Environment Interaction Relevant to Psychiatric Disease.	Kannan G et al.	—	2018	→
Association between COMT Val158Met and psychiatric disorders: A comprehensive meta-analysis.	Taylor S	—	2018	→
Can delusions play a protective role?	Gunn R et al.	—	2018	→
Commentary for Special Issue of Prevention Science "Using Genetics in Prevention: Science Fiction or Science Fact?"	Dick DM	—	2018	→
Comparative genomic evidence for the involvement of schizophrenia risk genes in antipsychotic effects.	Kim Y et al.	—	2018	→
Critical Issues in the Inclusion of Genetic and Epigenetic Information in Prevention and Intervention Trials.	Latendresse SJ et al.	—	2018	→
DISC1 regulates lactate metabolism in astrocytes: implications for psychiatric disorders.	Jouroukhin Y et al.	—	2018	→
Evolutionary Perspectives on Genetic and Environmental Risk Factors for Psychiatric Disorders.	Keller MC	—	2018	→
Gene-environment interplay in the etiology of psychosis.	Zwicker A et al.	—	2018	→
Genetics of tardive dyskinesia: Promising leads and ways forward.	Zai CC et al.	—	2018	→
IL1RN Variation Influences Both Disease Susceptibility and Response to Recombinant Human Interleukin-1 Receptor Antagonist Therapy in Systemic Juvenile Idiopathic Arthritis.	Arthur VL et al.	—	2018	→
Imaging genetics of schizophrenia in the post-GWAS era.	Arslan A	—	2018	→
Investigation of previously implicated genetic variants in chronic tic disorders: a transmission disequilibrium test approach.	Abdulkadir M et al.	—	2018	→
Is It Possible to Predict the Future in First-Episode Psychosis?	Suvisaari J et al.	—	2018	→
Mapping the Schizophrenia Genes by Neuroimaging: The Opportunities and the Challenges.	Arslan A	—	2018	→
Neurobiological Determinants of Tobacco Smoking in Schizophrenia.	Lucatch AM et al.	—	2018	→
Neurodevelopmental disease mechanisms, primary cilia, and endosomes converge on the BLOC-1 and BORC complexes.	Hartwig C et al.	—	2018	→
Potentially repurposable drugs for schizophrenia identified from its interactome	Karunakaran KB et al.	—	2018	—
Testing an Attachment-Based Parenting Intervention-VIPP-FC/A in Adoptive Families with Post-institutionalized Children: Do Maternal Sensitivity and Genetic Markers Count?	Barone L et al.	—	2018	→
The effect of the DISC1 Ser704Cys polymorphism on striatal dopamine synthesis capacity: an [18F]-DOPA PET study.	Dahoun T et al.	—	2018	→
The highly pleiotropic gene SLC39A8 as an opportunity to gain insight into the molecular pathogenesis of schizophrenia.	Costas J	—	2018	→
The <i>DGCR5</i> long noncoding RNA may regulate expression of several schizophrenia-related genes.	Meng Q et al.	—	2018	→
Vulnerable combinations of functional dopaminergic polymorphisms to late-onset treatment resistant schizophrenia.	Oishi K et al.	—	2018	→
Association between RGS4 variants and psychotic-like experiences in nonclinical individuals.	de Castro-Catala M et al.	—	2017	→
BDNF rescues prefrontal dysfunction elicited by pyramidal neuron-specific DTNBP1 deletion in vivo.	Zhang W et al.	—	2017	→
Candidate gene associations studies in psychiatry: time to move forward.	Arango C	—	2017	→
Cellular and molecular mechanisms of neurodevelopmental disorders.	Ghiani CA et al.	—	2017	→
Challenges and opportunities for the development of new antipsychotic drugs.	Forray C et al.	—	2017	→
Chlorpromazine Increases the Expression of Polysialic Acid (PolySia) in Human Neuroblastoma Cells and Mouse Prefrontal Cortex.	Abe C et al.	—	2017	→
Commentary: Fundamental problems with candidate gene-by-environment interaction studies - reflections on Moore and Thoemmes (2016).	Border R et al.	—	2017	→
Connecting Brain Proteomics with Behavioural Neuroscience in Translational Animal Models of Neuropsychiatric Disorders.	Sarnyai Z et al.	—	2017	→
DISC1 in Astrocytes Influences Adult Neurogenesis and Hippocampus-Dependent Behaviors in Mice.	Terrillion CE et al.	—	2017	→
Dysbindin-1 Involvement in the Etiology of Schizophrenia.	Wang H et al.	—	2017	→
Dysbindin Deficiency Modifies the Expression of GABA Neuron and Ion Permeation Transcripts in the Developing Hippocampus.	Larimore J et al.	—	2017	→
Endophenotype best practices.	Iacono WG et al.	—	2017	→
Enhancing reproducibility: Failures from Reproducibility Initiatives underline core challenges.	Mullane K et al.	—	2017	→
ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide.	Thompson PM et al.	—	2017	→
Gene-environment interaction as a predictor of early adjustment in first episode psychosis.	Fraguas D et al.	—	2017	→
Gene-environment interactions in cortical interneuron development and dysfunction: A review of preclinical studies.	Ansen-Wilson LJ et al.	—	2017	→
Genetic variation in the 3'-untranslated region of <i>PAK1</i> influences schizophrenia susceptibility.	Jiang J et al.	—	2017	→
Hippocampal GABAergic Inhibitory Interneurons.	Pelkey KA et al.	—	2017	→
How Good Were Candidate Gene Guesses in Schizophrenia Genetics?	Sullivan PF	—	2017	→
Integrating evolutionary and regulatory information with a multispecies approach implicates genes and pathways in obsessive-compulsive disorder.	Noh HJ et al.	—	2017	→
Microarray gene-expression study in fibroblast and lymphoblastoid cell lines from antipsychotic-naïve first-episode schizophrenia patients.	Gassó P et al.	—	2017	→
More than 25 years of genetic studies of clozapine-induced agranulocytosis.	de With SAJ et al.	—	2017	→
No Evidence That Schizophrenia Candidate Genes Are More Associated With Schizophrenia Than Noncandidate Genes.	Johnson EC et al.	—	2017	→
QKI6B mRNA levels are upregulated in schizophrenia and predict GFAP expression.	Farnsworth B et al.	—	2017	→
Reelin (RELN) DNA methylation in the peripheral blood of schizophrenia.	Nabil Fikri RM et al.	—	2017	→
Responsible Translation of Psychiatric Genetics and Other Neuroscience Developments: In Need of Empirical Bioethics Research.	Lázaro-Muñoz G	—	2017	→
Role of DISC1 in Neuronal Trafficking and its Implication in Neuropsychiatric Manifestation and Neurotherapeutics.	Tomoda T et al.	—	2017	→
Schizophrenia: Basic and Clinical.	Coyle JT	—	2017	→
Schizophrenia genetics comes to translation.	Domenici E	—	2017	→
The association between gene variants and longitudinal structural brain changes in psychosis: a systematic review of longitudinal neuroimaging genetics studies.	Harari JH et al.	—	2017	→
The Role of Genes, Stress, and Dopamine in the Development of Schizophrenia.	Howes OD et al.	—	2017	→
Translating advances in the molecular basis of schizophrenia into novel cognitive treatment strategies.	O'Tuathaigh CMP et al.	—	2017	→
Understanding the pathophysiology of postpartum psychosis: Challenges and new approaches.	Davies W	—	2017	→
Uniting the neurodevelopmental and immunological hypotheses: Neuregulin 1 receptor ErbB and Toll-like receptor activation in first-episode schizophrenia.	Kéri S et al.	—	2017	→
Unraveling the genetic architecture of copy number variants associated with schizophrenia and other neuropsychiatric disorders.	Rutkowski TP et al.	—	2017	→
A Role for the Transcription Factor Nk2 Homeobox 1 in Schizophrenia: Convergent Evidence from Animal and Human Studies.	Malt EA et al.	—	2016	→
Association of CACNA1C and SYNE1 in offspring of patients with psychiatric disorders.	Gassó P et al.	—	2016	→
Balanced translocation linked to psychiatric disorder, glutamate, and cortical structure/function.	Thomson PA et al.	—	2016	→
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Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach.	Murphy E et al.	—	2016	→
COMT Val(158) Met genotype is associated with reward learning: a replication study and meta-analysis.	Corral-Frías NS et al.	—	2016	→
Cortical PGC-1α-Dependent Transcripts Are Reduced in Postmortem Tissue From Patients With Schizophrenia.	McMeekin LJ et al.	—	2016	→
DISC1 is a coordinator of intracellular trafficking to shape neuronal development and connectivity.	Devine MJ et al.	—	2016	→
DNA Damage and Repair in Schizophrenia and Autism: Implications for Cancer Comorbidity and Beyond.	Markkanen E et al.	—	2016	→
Evaluating the dopamine hypothesis of schizophrenia in a large-scale genome-wide association study.	Edwards AC et al.	—	2016	→
From Shortage to Surge: A Developmental Switch in Hippocampal-Prefrontal Coupling in a Gene-Environment Model of Neuropsychiatric Disorders.	Hartung H et al.	—	2016	→
Genotype-Dependent Effects of COMT Inhibition on Cognitive Function in a Highly Specific, Novel Mouse Model of Altered COMT Activity.	Barkus C et al.	—	2016	→
Improving Current Treatments for Schizophrenia.	Maric NP et al.	—	2016	→
Melanosomes made from recycling (endosomes): A tubule-stabilizing function revealed for Biogenesis of Lysosome-related Organelles Complex-1.	Dell'Angelica EC	—	2016	→
Metabolic pathways in the periphery and brain: Contribution to mental disorders?	Nagalski A et al.	—	2016	→
Modeling psychiatric disorders: from genomic findings to cellular phenotypes.	Falk A et al.	—	2016	→
Neuronal networks in mental diseases and neuropathic pain: Beyond brain derived neurotrophic factor and collapsin response mediator proteins.	Quach TT et al.	—	2016	→
Schizophrenia and reelin: a model based on prenatal stress to study epigenetics, brain development and behavior.	Negrón-Oyarzo I et al.	—	2016	→
Schizophrenia: An Overview.	Rahman T et al.	—	2016	→
Schizophrenia interactome with 504 novel protein-protein interactions.	Ganapathiraju MK et al.	—	2016	→
The dopamine beta-hydroxylase gene polymorphism rs1611114 is associated with schizophrenia in the Chinese Zhuang but not Chinese Han population.	Long J et al.	—	2016	→
The Major Histocompatibility Complex (MHC) in Schizophrenia: A Review.	Mokhtari R et al.	—	2016	→
The NMDA Receptor and Schizophrenia: From Pathophysiology to Treatment.	Balu DT	—	2016	→
The potential of DISC1 protein as a therapeutic target for mental illness.	Sawa A et al.	—	2016	→
The Proteome of BLOC-1 Genetic Defects Identifies the Arp2/3 Actin Polymerization Complex to Function Downstream of the Schizophrenia Susceptibility Factor Dysbindin at the Synapse.	Gokhale A et al.	—	2016	→
Top 10 Replicated Findings From Behavioral Genetics.	Plomin R et al.	—	2016	→
Can we observe epigenetic effects on human brain function?	Nikolova YS et al.	—	2015	→