Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders.
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Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed analyses of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders, identifying three groups of inter-related disorders. Meta-analysis across these eight disorders detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in theΒ brain throughout the lifespan, beginning prenatally in the second trimester, and play prominent roles in neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.
Genetic relationships between eight psychiatric disorders.A) SNP-based genetic correlations (rg) were estimated between eight neuropsychiatric disorders using LDSC. The size of the circles scales with the significance of the p-values. The darker the color, the larger the magnitude of rg. Star sign (*) indicates statistical significance after Bonferroni correction. (B) SNP-based genetic correlations between eight disorders were depicted using an in-directed graph to reveal complex genetic relationships. Only significant genetic correlations after Bonferroni correction in (A) were displayed. Each node represents a disorder, with edges indicating the strength of the pairwise correlations. The width of the edges increases, while the length decreases, with the absolute values of rg. (C) Based on the results of an exploratory factor analysis of the genetic correlation matrix produced from multivariable LD-score regression, a confirmatory factor model with three correlated genetic factors was specified using Genomic SEM and estimated with the weighted least squares algorithm. In this solution, each common genetic factor (i.e., F1g, F2g, F3g) represents variation in genetic liability that is shared across the disorders that load on it. These common factors are specified so as to account for the genetic covariation among the psychiatric disorders. For example, F1g represents shared genetic liability among disorders characterized by compulsive behaviors (AN, OCD and TS). One-headed arrows connecting the common genetic factors to the individual disorders represent standardized loadings, which can be interpreted as coefficients from a regression of the true genetic liability for the disorder on the common factor. Two-headed arrows connecting the three factors to one another represent their correlations. Two-headed arrows connecting the genetic components of the individual psychiatric disorders to themselves represent residual genetic variances and correspond to the proportion of heritable variation in liability to each individual psychiatric disorder that is unexplained by the three factors. Standardized parameters are depicted with their standard errors in parentheses. Paths labeled 1 with no standard errors reported are fixed parameters, which are used for scaling.
Results of cross-disorder meta-analysis and candidate gene mapping.(A) Quantile-quantile (QQ) plot displaying the observed meta-analysis statistics vs. the expected statistics under the null model of no associations in the -log10(p-value) scale. Although a marked departure is notable between the two statistics, the estimated lambda1000 and the estimated LD Score regression intercept indicate that the observed inflation is mainly due to polygenic signals rather than major confounding factors including population stratification. (B) Gene prioritization strategies for significantly associated loci. Candidate genes were mapped on each locus if the index SNP and credible SNPs reside within a protein-coding gene, are eQTL markers of the gene in the brain tissue, or interact with promoter regions of the gene based on brain Hi-C data. (C) Manhattan plot displaying the cross-disorder meta-analysis results highlighting candidate genes mapped to top pleiotropic regions. When multiple genes were mapped to the same locus, genes encompassing the index SNP or genes with the largest number of evidences were displayed for clarity. Candidate genes that have not previously implicated in individual disorder GWAS are marked with an asterisk.
Profile of disorder associations for illustrative pleiotropic loci: (A) rs8084351 on 18q21.2; (B) rs7193263 on 16p13.3; (C) rs117956829 on 11q14.3; and (D) rs10265001 on 7q34.For each locus, disorder-specific effects of the index SNP are shown using ForestPMPlot. The first panel is the forest plot, displaying disorder-specific association p-value, log odds ratios (ORs), and standard errors of the SNP. The meta-analysis p-value and the corresponding summary statistic are displayed on the top and the bottom of the forest plot, respectively. The second panel is the PM-plot in which X-axis represents the m-value, the posterior probability that the effect eixsts in each disorder, and the Y-axis represents the disorder-specific association p-value as -log10(p-value). Disorders are depicted as a dot whose size represents the sample size of individual GWAS. Disorders with estimated m-values of at least 0.9 are colored in red, while those with m-values less than 0.9 are marked in green.
Eleven loci with opposite directional effects.The radius of each wedge corresponds to the absolute values of the Z-scores (log(Odds ratios)/S.E) obtained from association tests of the SNP for eight disorders. The color indicates whether the examined SNP carries risk (red) or protective effects (green) for each disorder. The dotted line around the center indicates statistically significant SNP effects that account for multiple testing of 206 SNPs the q-value of 0.001.
Results of functional genomics data analysis for pleiotropic vs. disorder-specific loci.(A) GTEX tissue-specific enrichment results for 146 risk loci associated with at least one of eight neuropsychiatric disorders. GTEX tissues were classified as 9 distinct categories, of which the brain tissues were colored in blue. The dotted red line indicates a statistically significant p-value after conducting Bonferroni correction for multiple testing. Psychiatric disorder-associated loci show significant enrichment in genes expressed in pituitary and all brain tissues except nerve_tibal. (B) Brain developmental expression trajectory displayed for the three groups of genes based on (Kang et al., 2011) The 146 genome-wide significant loci from the cross-disorder meta analysis were clustered into three groups based on predicted disorder-specific associations: (1) no-pleiotopy; (2) pleiotropy=2; and (3) pleiotropy>2. The βno-pleiotropyβ group included 37 loci that showed a single-disorder-specific association, while the βpleiotropy=2β and βpleiotropy>2β groups included 60 and 49 loci that were associated with two and more than two disorders, respectively. (C) In the adult cortex, genes mapped to pleiotropic loci were enriched for frontal cortex specific genes, while genes mapped to non-pleiotropic loci are enriched for occipical cortex specific genes. (D) Genes mapped to 146 risk loci show higher expression values in neurons and oligodendrocytes, with much higher neuronal specificity for pleiotropic loci.
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| 40 | STAR* METHODS β EXPERIMENTAL MODEL AND SUBJECT DETAILS β Bipolar disorder | Stahl et al., 2019 | Thirty-two case-control cohorts from Europe, North America, and Australia including 20,352 cases andβ¦ |
| 41 | STAR* METHODS β EXPERIMENTAL MODEL AND SUBJECT DETAILS β Major depression | Wray et al., 2018 | Seven case-control cohorts were combined to identify 44 loci associated with major depression. Theβ¦ |
| 42 | STAR* METHODS β EXPERIMENTAL MODEL AND SUBJECT DETAILS β Attention deficit hyperactive disorder | Demontis et al., 2019 | Twelve cohorts of European, North American, and Chinese descent were aggregated in a meta-analysisβ¦ |
| 43 | STAR* METHODS β EXPERIMENTAL MODEL AND SUBJECT DETAILS β Autism spectrum disorder | Grove et al., 2019 | Five family-based cohorts of European descent and a population-based case-control sample fromβ¦ |
| 44 | STAR* METHODS β EXPERIMENTAL MODEL AND SUBJECT DETAILS β Obsessive compulsive disorder | IOCDF-GC and OCGAS, 2018 | Individuals of European descent from two cohorts were combined in this meta-analysis including 2,688β¦ |
| 45 | STAR* METHODS β EXPERIMENTAL MODEL AND SUBJECT DETAILS β Anorexia nervosa | Duncan et al., 2017 | 3,495 cases from two consortia and 10,982 matched controls from the Psychiatric Genomics Consortium,β¦ |
| 46 | STAR* METHODS β EXPERIMENTAL MODEL AND SUBJECT DETAILS β Tourette Syndrome | Yu et al., 2019 | Three case-control cohorts and one family-based cohort from Europe and North America including 4,819β¦ |
| 47 | STAR* METHODS β EXPERIMENTAL MODEL AND SUBJECT DETAILS β Genotype quality control, imputation, and association analysis | All primary studies used the standardized PGC ricopili pipeline for quality control, imputation andβ¦ |
| 48 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Genome-wide SNP-heritability estimation | For each of the eight GWAS disorders, LD Score regression was performed on the summary statistics ofβ¦ |
| 49 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Factor analysis and genomic SEM | Genomic SEMβs Multivariable LD score regression method (Grotzinger et al., 2019) was first used toβ¦ |
| 50 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Factor analysis and genomic SEM | fair, (2 (20) = 313.94, AIC = 345.9, CFI = .786, SRMR = .149), suggesting that there were nuances inβ¦ |
| 51 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Factor analysis and genomic SEM | compulsive and early onset factors (rg = < .01, SE = .07). A model that included additional negativeβ¦ |
| 52 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Summary-data-based meta-analysis | To identify genomic loci shared across multiple neuropsychiatric disorders, we performed primaryβ¦ |
| 53 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Summary-data-based meta-analysis | estimated with the discrete local maxima method, which uses the correlation structure of testβ¦ |
| 54 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Summary-data-based meta-analysis | Once SNPs with genome-wide significant association were identified, we identified LD-independentβ¦ |
| 55 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Disease-association modeling | We estimated posterior probabilities for each of the top loci identified from the meta-analysis toβ¦ |
| 56 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Examination of the Impact of Sample Size Imbalance on Genetic Correlations and Genomic SEM Results | We conducted several analyses to examine whether differences in sample size among the 8 disordersβ¦ |
| 57 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Examination of the Impact of Sample Size Imbalance on Genetic Correlations and Genomic SEM Results | Next, we investigated the impact of variable sample sizes on the Genomic SEM analysis results byβ¦ |
| 58 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Examination of the Impact of Sample Size Imbalance on Genetic Correlations and Genomic SEM Results | To further evaluate whether sample size imbalance across the eight disorders biased the number ofβ¦ |
| 59 | STAR* METHODS β QUANTIFICATION AND STATISTICAL ANALYSIS β Examination of the Impact of Sample Size Imbalance on Genetic Correlations and Genomic SEM Results | Because SCZ and MD accounted for the majority of the total sample size in our study as well as theβ¦ |
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In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Alcohol use disorder-associated gene FNDC4 alters glutamatergic and GABAergic neurogenesis in neural organoids. | Zhu X et al. | β | 2026 | β |
| An Investigation of Attentional Networks, the Locus Coeruleus - Norepinephrine System, and Autism and ADHD Traits. | Kim Y et al. | β | 2026 | β |
| Are polygenic scores for psychiatric and substance use outcomes "ready" for clinical application? Current state and next steps. | Dick DM et al. | β | 2026 | β |
| A single-cell spatiotemporal transcriptomic atlas of mouse prefrontal cortex maps dynamics of intratelencephalic neurons during postnatal development. | Zheng H et al. | β | 2026 | β |
| Assessing the effects of methylphenidate in proliferation and Wnt activity of neuronal stem cells from attention deficit/hyperactivity disorder patients. | Yde Ohki CM et al. | β | 2026 | β |
| Bipolar Disorder: An Update on Neurobiology and Treatment. | Soliman MA et al. | β | 2026 | β |
| Brain structures mediate the causal effects of socioeconomic status on mental disorders: A multi-stage Mendelian randomization study. | Pan S et al. | β | 2026 | β |
| CARLIS: covariate-assisted replicability analysis for genome-wide association studies via triplet hidden Markov models. | Li Y et al. | β | 2026 | β |
| Characterizing the Pleiotropic Architecture of Impulsivity and Its Links to Psychopathology and Neurodevelopment. | Mallard TT et al. | β | 2026 | β |
| Connectome-based symptom mapping and in silico related gene expression in children with autism and/or attention-deficit/hyperactivity disorder. | Segura P et al. | β | 2026 | β |
| Convergent genetic pathways linking neuropsychiatric and ocular disorders in children. | Pan M et al. | β | 2026 | β |
| Deep learning for psychiatric genomics: from tools to applications. | Liu J et al. | β | 2026 | β |
| Delay of Gratification in Preschoolers with Autism and Concerns for ADHD. | Kadlaskar G et al. | β | 2026 | β |
| Dissecting the genetic relationship between severe mental disorders and autoimmune diseases. | WistrΓΆm ED et al. | β | 2026 | β |
| Distinct metabolic signatures of Alzheimer's and Parkinson's disease revealed through genetic overlap. | Stinson SE et al. | β | 2026 | β |
| Exploring the Behavioral and Emotional Manifestation of Polygenic Risk for Psychiatric Disorders Among Schoolchildren. | Alemany S et al. | β | 2026 | β |
| Functional implications of polygenic risk for schizophrenia in human neurons. | Michael Deans PJ et al. | β | 2026 | β |
| Genetic interactions between bioactive ingredients in traditional Chinese medicine and major depressive disorder, bipolar disorder, and schizophrenia. | Xu Y et al. | β | 2026 | β |
| Genetic Underpinnings of Obsessive-Compulsive Disorder With and Without Tics: Implications of Genetic Heterogeneity on Clinical Management. | Zouki JJ et al. | β | 2026 | β |
| Genome-wide methylation patterns associated with chronic stress. | O'Toole N et al. | β | 2026 | β |
| Genomic Study of Resilience to Posttraumatic Stress Disorder in the Million Veteran Program. | Overstreet C et al. | β | 2026 | β |
| GRIN2A null variants confer a high risk for early-onset schizophrenia and other mental disorders and potentially enable precision therapy. | Lemke JR et al. | β | 2026 | β |
| Heterogeneity-Aware, Multiscale Annotation of Shared and Specific Neurobiological Signatures among Major Neurodevelopmental Disorders. | Diao Y et al. | β | 2026 | β |
| Identifying drug targets for schizophrenia through gene prioritization. | Kraft J et al. | β | 2026 | β |
| Integrative Molecular Pattern Learning for Mental Disorders Via Dual-Effect Matrix-Enabled Multiomics Platform. | Zhang W et al. | β | 2026 | β |
| Latent profiles of maternal psychopathology and risk for lifetime/perinatal substance use: Findings from the HBCD study. | Valdes V et al. | β | 2026 | β |
| Mapping the genetic landscape across 14 psychiatric disorders. | Grotzinger AD et al. | β | 2026 | β |
| Mapping the Scientific Landscape of Schizophrenia Genetics (2020-2025): A Bibliometric and Scientometric Study of Global Trends and Collaborations. | Mikaeili N et al. | β | 2026 | β |
| Molecular and topographic mapping of antipsychotic effects: a meta-analysis of postsynaptic density proteins in animal models with translational implications. | De Simone G et al. | β | 2026 | β |
| Negr1 deficiency alters glutamate signalling and kynurenine pathway in a mouse model of psychiatric disorders. | KuuskmΓ€e C et al. | β | 2026 | β |
| Phenome-wide screening of the putative causal determinants of bipolar affective disorder using genetic data. | Hu B et al. | β | 2026 | β |
| Polygenic risk scores for pediatric obsessive-compulsive symptoms: Mediating effects in samples clinically diagnosed with mental disorders. | Antonyan L et al. | β | 2026 | β |
| Polymorphisms in GPCR genes: Their role in schizophrenia, autism diseases and response to antipsychotic treatment - A systematic review. | DelaCuesta-Barrutia J et al. | β | 2026 | β |
| Proteome-wide multi-trait association analyses prioritize candidate proteins and therapeutic targets for psychiatric disorders. | Yao S et al. | β | 2026 | β |
| Specificity of Polygenic Scores for Psychiatric Disorders Beyond Transdiagnostic Genetic Risk. | Keser E et al. | β | 2026 | β |
| Substance Use Disorders as Genetic Bridges Across Psychiatric Disorders in Diverse Ancestries. | Ohi K | β | 2026 | β |
| Sulcal Depth and Genetic Susceptibility Influence Initial Treatment Response in Adults With Attention-Deficit/Hyperactivity Disorder. | Laatsch J et al. | β | 2026 | β |
| The potential for successful autistic ageing: Proposing a lifespan developmental psychology approach. | Ommensen B et al. | β | 2026 | β |
| Transdiagnostic and Disorder-Level Genome-Wide Association Studies Enhance Precision of Substance Use and Psychiatric Genetic Risk Profiles in African and European Ancestries. | Khan Y et al. | β | 2026 | β |
| Transdiagnostic Neurocognitive Endophenotypes for Schizophrenia, Bipolar I Disorder and a Broad Psychosis/Bipolar I Disorder Phenotype: A Mega-Analysis of Twin and Sibling Data. | Kravariti E et al. | β | 2026 | β |
| Transdiagnostic prevention in youth mental health, Part I: rationale, shared risk factors. | Holt DJ et al. | β | 2026 | β |
| Using genetics to parse the structure of psychiatric diagnosis. | β | β | 2026 | β |
| A burden of rare copy number variants in obsessive-compulsive disorder. | Halvorsen MW et al. | β | 2025 | β |
| A common neural signature between genetic and environmental risk for mental illness. | Vedechkina M et al. | β | 2025 | β |
| Advancing precision diagnosis in autism: Insights from large-scale genomic studies. | Kim SW et al. | β | 2025 | β |
| A genome-wide pleiotropy study between atopic dermatitis and neuropsychiatric disorders. | Antonatos C et al. | β | 2025 | β |
| A multilevel study on the genetic relationship between schizophrenia and inflammatory bowel disease. | Li C et al. | β | 2025 | β |
| An evolutionary perspective on the genetics of anorexia nervosa. | Breton Γ et al. | β | 2025 | β |
| ARIES domains: functional signaling units of type I interferon responses. | Landau LM et al. | β | 2025 | β |
| Assessment and ascertainment in psychiatric molecular genetics: challenges and opportunities for cross-disorder research. | Cai N et al. | β | 2025 | β |
| Association between GRIK1 rs363598 and intergenic rs360932 variants and susceptibility to autism spectrum disorders in Egyptian children. | Bassiony H et al. | β | 2025 | β |
| Association Between Polygenic Risk and Symptom Severity Change After Cognitive Behavioral Therapy for Obsessive-Compulsive Disorder. | BΓ€ckman J et al. | β | 2025 | β |
| A Transcriptome-Wide Mendelian Randomization Study in Isolated Human Immune Cells Highlights Risk Genes Involved in Viral Infections and Potential Drug Repurposing Opportunities for Schizophrenia. | Stacey D et al. | β | 2025 | β |
| A triple serine motif in the intracellular domain of SorCS2 impacts its cellular signaling. | Dalby A et al. | β | 2025 | β |
| A unified framework for cell-type-specific eQTL prioritization by integrating bulk and scRNA-seq data. | Yu X et al. | β | 2025 | β |
| Autism Spectrum Disorder: What Do We Know and Where Do We Go? | Leisman G et al. | β | 2025 | β |
| Blood Plasma Lipid Alterations Differentiating Psychotic and Affective Disorder Patients. | Golubova A et al. | β | 2025 | β |
| Brain Organoids and Assembloids-From Disease Modeling to Drug Discovery. | Ajongbolo AO et al. | β | 2025 | β |
| Causal Effects of Inflammatory Cytokines on Bipolar Disorder: A Bidirectional Two-Sample Mendelian Randomization Study. | Cheng Y et al. | β | 2025 | β |
| Cell-free DNA from clinical testing as a resource of population genetic analysis. | Zhu H et al. | β | 2025 | β |
| Characterizing pleiotropy among bipolar disorder, schizophrenia, and major depression: a genome-wide cross-disorder meta-analysis. | Friligkou E et al. | β | 2025 | β |
| Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms. | Chen X et al. | β | 2025 | β |
| Clinical Traits of Adult Depression with ADHD Comorbidity. | Dong L et al. | β | 2025 | β |
| Co-design of the neurodevelopment assessment scale. | Wong TY et al. | β | 2025 | β |
| Comorbid ADHD and Bipolar Disorder - An Update. | Parker G | β | 2025 | β |
| Comorbidity aggregation models in children and adolescents with ADHD and direct and moderator effects of familial clinical history and psychosocial factors. | Melegari MG et al. | β | 2025 | β |
| Comorbidity of attention deficit hyperactivity disorder in young adults who had major depressive disorder. | YazΔ±cΔ± M et al. | β | 2025 | β |
| Comparison of the multivariate genetic architecture of eight major psychiatric disorders across sex. | Schwaba T et al. | β | 2025 | β |
| Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity. | Yao S et al. | β | 2025 | β |
| Contrasting genetic predisposition and diagnosis in psychiatric disorders: A multi-omic single-nucleus analysis of the human OFC. | Gerstner N et al. | β | 2025 | β |
| Copy number variations in the Brazilian High-Risk Cohort for Mental Conditions. | Arendt J et al. | β | 2025 | β |
| DCC in the cerebral cortex is required for cognitive functions in mouse. | Hu YQ et al. | β | 2025 | β |
| Development of serious mental illness in young adult violent offenders: Early-life risk factors and long-term adverse outcomes. | TΓ€rnhΓ€ll A et al. | β | 2025 | β |
| Disentangling nature and nurture: Exploring the genetic background of depressive symptoms in the absence of recent stress exposure using a GWAS approach. | Erdelyi-Hamza B et al. | β | 2025 | β |
| Disrupted transcriptional networks regulated by CHD1L during neurodevelopment underlie the mirrored neuroanatomical and growth phenotypes of the 1q21.1 copy number variant. | LemΓ©e MV et al. | β | 2025 | β |
| Dissecting causal relationships between cortical morphology and neuropsychiatric disorders: a bidirectional Mendelian randomization study. | Lin BD et al. | β | 2025 | β |
| Dysfunction of cortical GABAergic projection neurons as a major hallmark in a model of neuropsychiatric syndrome. | Asenjo-Martinez A et al. | β | 2025 | β |
| Dysregulated Pathways During Pregnancy Predict Drug Candidates in Neurodevelopmental Disorders. | Yin H et al. | β | 2025 | β |
| Elevated synaptic PKA activity and abnormal striatal dopamine signaling in Akap11 mutant mice, a genetic model of schizophrenia and bipolar disorder. | Song BJ et al. | β | 2025 | β |
| Enhancing the discriminatory power of polygenic scores for ADHD and autism in clinical and non-clinical samples. | Li JJ et al. | β | 2025 | β |
| ESC models of autism with copy-number variations reveal cell-type-specific translational vulnerability. | Nomura J et al. | β | 2025 | β |
| Exon-variant interplay and multi-modal evidence identify endocrine dysregulation in severe psychiatric disorders impacting excitatory neurons. | Worf K et al. | β | 2025 | β |
| Exploring acupuncture as a therapeutic approach for tic disorders: a review of current understanding and potential benefits. | Liu H et al. | β | 2025 | β |
| Exploring the genetic landscape of the brain-heart axis: A comprehensive analysis of pleiotropic effects between heart disease and psychiatric disorders. | Song Q et al. | β | 2025 | β |
| Familial Molecular Burden in Autism Spectrum Disorder: A Next-Generation Sequencing Study of Polish Affected Families. | Wawszczak-Kasza M et al. | β | 2025 | β |
| Functional Neurogenomics to Dissect Disease Mechanisms Across Models. | Zheng X et al. | β | 2025 | β |
| Genetic analysis of psychosis Biotypes: shared Ancestry-adjusted polygenic risk and unique genomic associations. | Xia C et al. | β | 2025 | β |
| Genetic and environmental aetiologies of the transition from nonsuicidal self-injury to suicide attempt: a longitudinal twin study. | Ohlis A et al. | β | 2025 | β |
| Genetic and Environmental Effects on Parent-Rated Adaptive Behaviour in Infancy. | Halkola H et al. | β | 2025 | β |
| [Genetic diagnostics of mental health disorders in adulthood]. | Kilarski LL et al. | β | 2025 | β |
| Genetic neurodevelopmental clustering and dyslexia. | Ciulkinyte A et al. | β | 2025 | β |
| Genetic overlap between household income and psychiatric disorders. | Zhang J et al. | β | 2025 | β |
| Genetic predisposition for negative affect predicts mental health burden during the COVID-19 pandemic. | Schowe AM et al. | β | 2025 | β |
| Genetic risk and transdiagnostic traits in anorexia nervosa, obsessive-compulsive disorder, and schizophrenia. | Aicoboaie S 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 |
| Genome-wide association meta-analysis of age at onset of walking in over 70,000 infants of European ancestry. | Gui A et al. | β | 2025 | β |
| Genome-wide association study identifies novel variants in olfactory, vitamin A, vitamin B, and cadherin pathways associated with learning and memory. | Hopkins LN et al. | β | 2025 | β |
| Genome-wide by trait interaction analyses with neuroticism reveal chronic pain-associated depression as a distinct genetic subtype. | Krause S et al. | β | 2025 | β |
| Genome-wide Pleiotropy Analysis Reveals Shared Genetic Associations between Type 2 Diabetes Mellitus and Subcortical Brain Volumes. | Zhao Q et al. | β | 2025 | β |
| Genomic Analysis of Trichotillomania. | Halvorsen MW et al. | β | 2025 | β |
| GWAS for behavioral traits in golden retrievers identifies genes implicated in human temperament, mental health, and cognition. | Alex E et al. | β | 2025 | β |
| Heritability and polygenic load for comorbid anxiety and depression. | Tabrizi F et al. | β | 2025 | β |
| Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder. | McGrouther CC et al. | β | 2025 | β |
| Identification of Genes in Diagnosing Major Depressive Disorder with Anorexia Through Bioinformatics Analysis. | Guo F 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 |
| Identifying novel protein biomarkers with cross-psychiatric disorders effects and potential intervention targets: Evidence from proteomic-Mendelian randomization. | Zhang R et al. | β | 2025 | β |
| Impact of life adversity and gene expression on psychiatric symptoms in children and adolescents: findings from the Brazilian high risk cohort study. | Ota VK et al. | β | 2025 | β |
| Incorporating Polygenic Liability and Family History for Predicting Psychiatric Diseases in the Taiwan Biobank. | Wang SH et al. | β | 2025 | β |
| Integrated gene expression and alternative splicing analysis in human and mouse models of Rett syndrome. | Gioiosa S et al. | β | 2025 | β |
| Integrating HiTOP and RDoC frameworks Part I: Genetic architecture of externalizing and internalizing psychopathology. | Davis CN et al. | β | 2025 | β |
| Integrative gene and isoform co-expression networks reveal regulatory rewiring in stress-related psychiatric disorders. | Rehawi G et al. | β | 2025 | β |
| Involvement of membrane palmitoylated protein 6 (MPP6) in synapses of mouse cerebrum. | Saitoh Y et al. | β | 2025 | β |
| Joint analysis of <i>de novo</i> mutations from autism spectrum disorder, schizophrenia, congenital heart disease, and other developmental disorders improves detection power and implicates shared molecular pathways and CNS processes. | Kealhofer M et al. | β | 2025 | β |
| Large-scale composite hypothesis testing procedure for omics data analyses. | De Walsche A et al. | β | 2025 | β |
| Leveraging pleiotropy for the improved treatment of psychiatric disorders. | Woodward DJ et al. | β | 2025 | β |
| Local patterns of genetic sharing between neuropsychiatric and insulin resistance-related conditions. | Fanelli G et al. | β | 2025 | β |
| Loss of the neuronal kinase DCLK3 leads to anxiety-like behaviour and memory deficits. | de Longprez L et al. | β | 2025 | β |
| Mapping the Cerebrospinal Fluid Proteome in Bipolar Disorder. | GΓΆteson A et al. | β | 2025 | β |
| Massively parallel reporter assay investigates shared genetic variants of eight psychiatric disorders. | Lee S et al. | β | 2025 | β |
| Massively parallel reporter assays and mouse transgenic assays provide correlated and complementary information about neuronal enhancer activity. | Kosicki M et al. | β | 2025 | β |
| Maternal exacerbating and protective factors that shape the prevalence and severity of child attention-deficit hyperactivity disorder: a narrative review. | Thorsheim C et al. | β | 2025 | β |
| Mediating Role of Trauma Connecting Psychiatric Family History and Adolescent Mental Health. | Chaiyachati BH et al. | β | 2025 | β |
| Mendelian randomization and genetic pleiotropy analysis for the connection between inflammatory bowel disease and Alzheimer's disease. | Wu Y et al. | β | 2025 | β |
| Meta-analysis of the brain transcriptomes of multiple genetic mouse models of schizophrenia highlights dysregulation in striatum and thalamus. | Perzel Mandell KA et al. | β | 2025 | β |
| Microglial involvement in autism spectrum disorder: insights from human data and iPSC models. | Michels S et al. | β | 2025 | β |
| Multitrait Analysis to Decipher the Intertwined Genetic Architecture of Neuroanatomical Phenotypes and Psychiatric Disorders. | Auvergne A 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 |
| Multivariate genetic architecture of poor sleep quality. | Wang Q et al. | β | 2025 | β |
| Multivariate genome-wide analysis of sarcopenia reveals genetic comorbidity with urological diseases. | Yang F et al. | β | 2025 | β |
| Neurobiological correlates of schizophrenia-specific and highly pleiotropic genetic risk scores for neuropsychiatric disorders. | Federmann LM et al. | β | 2025 | β |
| Neuroimaging insights into brain mechanisms of early-onset restrictive eating disorders. | Moreau CA et al. | β | 2025 | β |
| Neuropsychiatric symptoms in siblings of children with Tourette syndrome in the EMTICS study. | Sidiropoulou O et al. | β | 2025 | β |
| Paternal valproate use and impact of shared genetic susceptibility on child neurodevelopment. | Olstad EW et al. | β | 2025 | β |
| Patterns of shared genetic risk between chronic pain, psychopathologies, and neuroticism. | Zorina-Lichtenwalter K et al. | β | 2025 | β |
| Polygenic dissection of treatment-resistant depression with proxy phenotypes in the UK Biobank. | Wang LH et al. | β | 2025 | β |
| Polygenic Resilience Scores are Associated With Lower Penetrance of Schizophrenia Risk Genes, Protection Against Psychiatric and Medical Disorders, and Enhanced Mental Well-Being and Cognition. | Hess JL et al. | β | 2025 | β |
| Precision psychiatry roadmap: towards a biology-informed framework for mental disorders. | Kas MJH et al. | β | 2025 | β |
| Prenatal maternal stress: triangulating evidence for intrauterine exposure effects on birth and early childhood outcomes across multiple approaches. | Lund IO et al. | β | 2025 | β |
| Prioritizing Brain Health in Youth: Bringing Neuroscience to Society and Informing Policy, Lessons Learnt from the European Brain Council Expert Meeting Held at the Federation of European Neuroscience Societies Forum 2024. | Dickson SL et al. | β | 2025 | β |
| Protein associations and protein-metabolite interactions with depressive symptoms and the p-factor. | Whipp AM et al. | β | 2025 | β |
| PSMB4: a potential biomarker and therapeutic target for depression, perspective from integration analysis of depression GWAS data and human plasma proteome. | Liu J | β | 2025 | β |
| Psychiatric disorders: teasing apart genetic similarities and differences. | Xu J et al. | β | 2025 | β |
| Psychiatric genome-wide association study enrichment shows promise for future psychopharmaceutical discoveries. | Hatoum AS et al. | β | 2025 | β |
| rbfox1 LoF mutants show disrupted bdnf/trkb2 and crhb/nr3c2 expression and increased cortisol levels during development coupled with signs of allostatic overload in adulthood. | Leggieri A et al. | β | 2025 | β |
| Scalable and accurate rare variant meta-analysis with Meta-SAIGE. | Park E et al. | β | 2025 | β |
| Sex-Specific Association Between Polymorphisms in Estrogen Receptor Alpha Gene (ESR1) and Depression: A Genome-Wide Association Study of All of Us and UK Biobank Data. | Hu Y et al. | β | 2025 | β |
| Shared and Distinct Alterations in Brain Structure of Youth With Internalizing or Externalizing Disorders: Findings From the ENIGMA Antisocial Behavior, ADHD, Major Depressive Disorder, and Anxiety Working Groups. | Sophie Townend et al. | β | 2025 | β |
| Shared genetic architecture and causal relationship between frailty and schizophrenia. | Deng MG et al. | β | 2025 | β |
| Shared genetic architecture between eating disorders, mental health conditions, and cardiometabolic diseases: a comprehensive population-wide study across two countries. | Meijsen J et al. | β | 2025 | β |
| Shared genetic architecture contributes to risk of major cardiovascular diseases. | Qiao J et al. | β | 2025 | β |
| Shared polygenic susceptibility to treatment response in severe affective and psychotic disorders: Evidence from GWAS data sets. | Facal F et al. | β | 2025 | β |
| Spatiotemporal 3D chromatin organization across multiple brain regions during human fetal development. | Sun Y et al. | β | 2025 | β |
| Specification of claustro-amygdalar and palaeocortical neurons and circuits. | Kaur N et al. | β | 2025 | β |
| Systematic dissection of pleiotropic loci and critical regulons in excitatory neurons and microglia relevant to neuropsychiatric and ocular diseases. | Ma Y et al. | β | 2025 | β |
| Targeting the Roots of Psychosis: The Role of Aberrant Salience. | Marano G et al. | β | 2025 | β |
| Temperament development in infancy: What we have learned about the origins of individual differences in the past 25 years. | Gartstein MA et al. | β | 2025 | β |
| The current clinical approach to feeding and eating disorders aimed to increase personalization of management. | Schmidt UH et al. | β | 2025 | β |
| The effect of fampridine on working memory: a randomized controlled trial based on a genome-guided repurposing approach. | Papassotiropoulos A et al. | β | 2025 | β |
| The Emerging Role of the DDAH Proteins in Psychiatric Disorders. | Vareltzoglou MR et al. | β | 2025 | β |
| The evolving neurobiology of early-life stress. | Birnie MT et al. | β | 2025 | β |
| The Interplay Between Sleep and Mental Health: A Genetic Perspective. | Kozhemiako N et al. | β | 2025 | β |
| The multimodal neuroimaging signatures and gene expression profiles for adverse childhood experiences. | Yu T et al. | β | 2025 | β |
| The Psychiatric Genomics Consortium: discoveries and directions. | Agrawal A et al. | β | 2025 | β |
| The risks for major psychiatric disorders in the siblings of probands with major depressive disorder. | Rhee SJ et al. | β | 2025 | β |
| The role of inflammation in the development of tic symptoms in subjects with ADHD. | Takahashi N et al. | β | 2025 | β |
| The selenocysteine-containing protein SELENOT maintains dopamine signaling in the midbrain to protect mice from hyperactivity disorder. | Guo Q et al. | β | 2025 | β |
| Toward a Genetic Signature of Resistance to Activity-Based Anorexia in Striatal Projecting Cortical Neurons. | Huang K et al. | β | 2025 | β |
| Towards a consensus roadmap for a new diagnostic framework for mental disorders. | Kas MJH et al. | β | 2025 | β |
| Transdiagnostic and Diagnosis-Specific Morphological Similarity Related Transcriptional Profile in Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder. | Zhang F et al. | β | 2025 | β |
| Transdiagnostic findings across major depressive disorder, bipolar disorder and schizophrenia: A qualitative review. | Stein F et al. | β | 2025 | β |
| Transdiagnostic neuroanatomical risk in schizophrenia: integrating regional vulnerability indices with anthropometric and fitness-based markers of cardiometabolic health. | RΓΆΓler H et al. | β | 2025 | β |
| Transformer-based deep learning enhances discovery in migraine GWAS. | Meng Z et al. | β | 2025 | β |
| Translating Molecular Psychiatry: From Biomarkers to Personalized Therapies-A Narrative Review. | Capatina TF et al. | β | 2025 | β |
| Translating stress systems: corticotropin releasing factor, its receptors, and the dopamine system in nonhuman primate models. | Fudge JL et al. | β | 2025 | β |
| Uncovering convergence and divergence between autism and schizophrenia using genomic tools and patients' neurons. | Romanovsky E et al. | β | 2025 | β |
| Understanding the Comorbidities Among Psychiatric Disorders, Chronic Low Back Pain, and Spinal Degenerative Disease Using Observational and Genetically Informed Analyses. | Qiu D et al. | β | 2025 | β |
| Unraveling the shared genetic foundations of neurodevelopmental and psychiatric disorders: Insights from comprehensive genome-wide analyses. | Maimaiti A et al. | β | 2025 | β |
| Unveiling genetic and biological links: exploring the intersection of autoimmune and psychiatric disorders. | Liwayiding A et al. | β | 2025 | β |
| Unveiling the clinical and genetic impact of neuropsychiatric involvement in systemic lupus erythematosus. | Cha S et al. | β | 2025 | β |
| Youth depression: An overview of genetic findings and the challenge of heterogeneity. | Thapar A et al. | β | 2025 | β |
| Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study. | Tissink EP et al. | β | 2024 | β |
| A cross-disease, pleiotropy-driven approach for therapeutic target prioritization and evaluation. | Bao C et al. | β | 2024 | β |
| Altered HCAR3 expression may underlying the blunted niacin responses of the psychiatric disorders and the risk of schizophrenia. | Jiang J et al. | β | 2024 | β |
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