Common polygenic variation contributes to risk of schizophrenia and bipolar disorder.
paper
Cited
Public
- Authors
- International Schizophrenia Consortium; Purcell, Shaun M; Wray, Naomi R; Stone, Jennifer L; Visscher, Peter M; O'Donovan, Michael C; Sullivan, Patrick F; Sklar, Pamela
- Year
- 2009
- Journal
- Nature
- PMID
- 19571811
- DOI
- 10.1038/nature08185
- PMCID
- PMC3912837
Schizophrenia is a severe mental disorder with a lifetime risk of about 1%, characterized by hallucinations, delusions and cognitive deficits, with heritability estimated at up to 80%. We performed a genome-wide association study of 3,322 European individuals with schizophrenia and 3,587 controls. Here we show, using two analytic approaches, the extent to which common genetic variation underlies the risk of schizophrenia. First, we implicate the major histocompatibility complex. Second, we provide molecular genetic evidence for a substantial polygenic component to the risk of schizophrenia involving thousands of common alleles of very small effect. We show that this component also contributes to the risk of bipolar disorder, but not to several non-psychiatric diseases.
Association results across the MHC regionResults are shown as –log10 (P-value) for genotyped SNPs. The most associated SNP is shown as a blue diamond. The colour of the remaining markers reflects r2 with rs3130375, light pink, r2 > 0.1, red, r2 > 0.8. The recombination rate from the CEU HapMap (second Y-axis) is plotted in light blue.
LLM interpretation
This is a Manhattan plot showing genetic association results across the MHC region of Chromosome 6, with the x-axis representing genomic position (Mb) and the primary y-axis showing $-\log_{10}(P\text{-value})$. The most associated SNP, rs3130375, is highlighted as a blue diamond, with other markers colored by linkage disequilibrium ($r^2$) relative to it (red for $r^2 > 0.8$, light pink for $r^2 > 0.1$). The plot also includes a secondary y-axis for recombination rate (light blue lines) and a bottom panel mapping specific gene clusters and regions, including MHC Class I and II.
Replication of the ISC-derived polygenic component in independent SCZ and BPD samplesVariance explained in the target samples based on scores derived in the entire ISC for five significance thresholds (pT < 0.1, 0.2, 0.3, 0.4 and 0.5, plotted left to right in each study). The y-axis indicates Nagelkerke’s pseudo-R2; the number above each set of bars is the P-value for the pT < 0.5 target sample analysis. Numbers for cases/controls: MGS-EA 2687 / 2656; MGS-AA 1287 / 973; O’Donovan 479 / 2938; STEP-BD 955 / 1498; WTCCC 1829 / 2935; CAD 1926 / 2935; CD 1748 / 2935; HT 1952 / 2935; RA 1860 / 2935 ; T1D 1963 / 2935 ; T2D 1924 / 2935.
LLM interpretation
This bar chart shows the variance explained (Nagelkerke’s pseudo-R²) in several target samples based on polygenic scores derived at five significance thresholds ($p_T < 0.1$ to $0.5$). The data is grouped by condition: Schizophrenia (MGS EA, MGS AA, O'Donovan), Bipolar disorder (STEP-BD, WTCCC), and Non-psychiatric controls from WTCCC (CAD, CD, HT, RA, T1D, T2D). Variance explained generally increases as the $p_T$ threshold increases for psychiatric samples, with highly significant p-values (e.g., $2 \times 10^{-28}$ for MGS EA) compared to non-significant p-values for non-psychiatric samples.
Observed and simulated profiles of target sample variance explainedPanel A shows the observed variance explained (R2, black line). Panel B shows a subset of models that produced results consistent with the observed data. All yielded similar estimates of the total variance explained by the SNPs that tag the causal variants, VM, with a mean value of 34%. The seven models were: (% SNPs, Mean GRR/variance explained (V) per causal allele, LD, frequency model) M1: 6.25%, GRR=1.05, r2 =1, empirical; M2: 25%, GRR=1.025, r2 =1, empirical; M3: 12%, GRR=1.05, r2 <1, uniform; M4: 32%, GRR=1.04, r2 <1, U-shaped; M5: 11%, V=0.00006, r2 =1, empirical; M6: 25%, GRR(Exponential)=1.025, r2 <1, uniform; M7: 100%, GRR(Exponential)=1.012, r2 <1, uniform. Panel C shows four inconsistent models with fewer variants of larger effect.
LLM interpretation
This figure consists of three line plots (Panels A, B, and C) showing variance explained ($R^2$) as a function of the threshold $P_T$. Panel A displays the observed data as a single black line, while Panel B shows several simulated "consistent models" that closely track the observed trend, with an implied $V_M$ of 32-36%. Panel C displays "inconsistent models" where $R^2$ is higher at low $P_T$ values, with the magnitude of the effect varying by the number of causal alleles (10, 20, 50, and 100).
Analysis stratified by score allele frequencyPanel A shows the observed data for the ISC/MGS-EA comparison. The y-axis is the target sample pseudo R2, scaled within each figure as a proportion of the maximum value observed. The two other plots show results for simulated data: the common variant model, with a uniform frequency distribution for causal risk-increasing alleles (panel B) and a multiple rare variant (MRV) model, in which the collective frequency of rare variants at a locus that all reside on the same haplotypic background with respect to the genotyped SNP was bounded at a maximum of 5% (panel C).
LLM interpretation
This figure consists of three grouped bar charts (Panels A, B, and C) comparing the proportion of maximum variance explained ($R^2$) across five score allele frequency (SAF) quintiles. Panel A (observed data) and Panel B (simulated common variant model) both show a peak in $R^2$ at intermediate SAF quintiles (13-65), while Panel C (simulated MRV model) shows the highest $R^2$ in the lowest SAF quintile (<13). Within each quintile, there is a consistent trend of increasing $R^2$ across the four shades of green bars.
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| 0 | METHODS SUMMARY | Cases satisfied criteria for SCZ. Clinical characteristics and copy number variation have been… |
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| Genome-wide DNA methylation risk scores for schizophrenia derived from blood and brain tissues further explain the genetic risk in patients stratified by polygenic risk scores for schizophrenia and bipolar disorder. | Ohi K et al. | — | 2024 | → |
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| Impact of genetic, sociodemographic, and clinical features on antidepressant treatment trajectories in the perinatal period. | Liu X et al. | — | 2024 | → |
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| Increased Parenchymal Macrophages are associated with decreased Tyrosine Hydroxylase mRNA levels in the Substantia Nigra of people with Schizophrenia and Bipolar Disorder. | Mendez-Victoriano G et al. | — | 2024 | → |
| Influence of TMX2-CTNND1 polymorphism on cortical thickness in schizophrenia patients and unaffected siblings: an exploratory study based on target region sequencing. | Tan W et al. | — | 2024 | → |
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| Leveraging Random Effects in Cistrome-Wide Association Studies for Decoding the Genetic Determinants of Prostate Cancer. | Shao M et al. | — | 2024 | → |
| Linking Polygenic Risk of Schizophrenia to Variation in Magnetic Resonance Imaging Brain Measures: A Comprehensive Systematic Review. | Jameei H et al. | — | 2024 | → |
| Lymphoblast transcriptome analysis in 22q11.2 deletion syndrome individuals with schizophrenia-spectrum disorder. | Michaelovsky E et al. | — | 2024 | → |
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| Methodologies underpinning polygenic risk scores estimation: a comprehensive overview. | Ndong Sima CAA et al. | — | 2024 | → |
| Methylome-wide and meQTL analysis helps to distinguish treatment response from non-response and pathogenesis markers in schizophrenia. | Polakkattil BK et al. | — | 2024 | → |
| MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume. | Blokland GAM et al. | — | 2024 | → |
| Modeling common and rare genetic risk factors of neuropsychiatric disorders in human induced pluripotent stem cells. | Muhtaseb AW et al. | — | 2024 | → |
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| Neuroticism polygenic risk predicts conversion from mild cognitive impairment to Alzheimer's disease by impairing inferior parietal surface area. | Li Q et al. | — | 2024 | → |
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| Patients with first-episode psychosis in northern Taiwan: neurocognitive performance and niacin response profile in comparison with schizophrenia patients of different familial loadings and relationship with clinical features. | Yu SC et al. | — | 2024 | → |
| Personality changes during adolescence predict young adult psychosis proneness and mediate gene-environment interplays of schizophrenia risk. | Antonucci LA et al. | — | 2024 | → |
| PGS-Depot: a comprehensive resource for polygenic scores constructed by summary statistics based methods. | Cao C et al. | — | 2024 | → |
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| Polygenic Indices (a.k.a. Polygenic Scores) in Social Science: A Guide for Interpretation and Evaluation. | Burt CH | — | 2024 | → |
| Polygenic risk for major depression, attention deficit hyperactivity disorder, neuroticism, and schizophrenia are correlated with experience of intimate partner violence. | Ratanatharathorn A et al. | — | 2024 | → |
| Polygenic risk for schizophrenia and bipolar disorder in relation to cardiovascular biomarkers. | Reponen EJ et al. | — | 2024 | → |
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| R2ROC: an efficient method of comparing two or more correlated AUC from out-of-sample prediction using polygenic scores. | Momin MM et al. | — | 2024 | → |
| Recapitulation of Perturbed Striatal Gene Expression Dynamics of Donors' Brains With Ventral Forebrain Organoids Derived From the Same Individuals With Schizophrenia. | Sawada T et al. | — | 2024 | → |
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| Screening embryos for polygenic disease risk: a review of epidemiological, clinical, and ethical considerations. | Capalbo A et al. | — | 2024 | → |
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| The function of <i>Mef2c</i> toward the development of excitatory and inhibitory cortical neurons. | Ward C et al. | — | 2024 | → |
| The interaction between early life complications and a polygenic risk score for schizophrenia is associated with brain activity during emotion processing in healthy participants. | Toro VD et al. | — | 2024 | → |
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| Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry. | Darst BF et al. | — | 2023 | → |
| Evaluating genomic polygenic risk scores for childhood acute lymphoblastic leukemia in Latinos. | Jeon S et al. | — | 2023 | → |
| Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel. | Levi H et al. | — | 2023 | → |
| Evidence of the folate-mediated one-carbon metabolism pathway genes in controlling the non-syndromic oral clefts risks. | Wang S et al. | — | 2023 | → |
| eXclusionarY: 10 years later, where are the sex chromosomes in GWASs? | Sun L et al. | — | 2023 | → |
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| Exploring the Hypothesis of a Schizophrenia and Bipolar Disorder Continuum: Biological, Genetic and Pharmacologic Data. | de Sousa TR et al. | — | 2023 | → |
| Exploring the overlap between alopecia areata and major depressive disorder: Epidemiological and genetic perspectives. | Foo JC et al. | — | 2023 | → |
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| Genetic and Epigenetic Regulation in <i>Lingo-1</i>: Effects on Cognitive Function and White Matter Microstructure in a Case-Control Study for Schizophrenia. | Andrews JL et al. | — | 2023 | → |
| Genetic correlations between Alzheimer's disease and gut microbiome genera. | Cammann D et al. | — | 2023 | → |
| Genetic mechanisms underlying gray matter volume changes in patients with drug-naive first-episode schizophrenia. | Xu X et al. | — | 2023 | → |
| Genetic patterning for child psychopathology is distinct from that for adults and implicates fetal cerebellar development. | Hughes DE et al. | — | 2023 | → |
| Genetic risk for schizophrenia is associated with increased proportion of indirect connections in brain networks revealed by a semi-metric analysis: evidence from population sample stratified for polygenic risk. | Dimitriadis SI et al. | — | 2023 | → |
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| Genetics of bipolar disorder: insights into its complex architecture and biology from common and rare variants. | Hara T et al. | — | 2023 | → |
| Genetics of migraine: Delineation of contemporary understanding of the genetic underpinning of migraine. | de Boer I et al. | — | 2023 | → |
| Golgi apparatus, endoplasmic reticulum and mitochondrial function implicated in Alzheimer's disease through polygenic risk and RNA sequencing. | Crawford K et al. | — | 2023 | → |
| Human-specific evolutionary markers linked to foetal neurodevelopment modulate brain surface area in schizophrenia. | Guardiola-Ripoll M et al. | — | 2023 | → |
| Identification of novel genomic risk loci shared between common epilepsies and psychiatric disorders. | Karadag N et al. | — | 2023 | → |
| Identification of schizophrenia symptom-related gene modules by postmortem brain transcriptome analysis. | Miyahara K et al. | — | 2023 | → |
| Idiopathic pulmonary fibrosis and the role of genetics in the era of precision medicine. | Alonso-Gonzalez A et al. | — | 2023 | → |
| Improved Genomic Prediction of Staphylococcus epidermidis Isolation Sources with a Novel Polygenic Score. | Hellmann KT et al. | — | 2023 | → |
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| Leveraging base-pair mammalian constraint to understand genetic variation and human disease. | Sullivan PF et al. | — | 2023 | → |
| Lipid-correlated alterations in the transcriptome are enriched in several specific pathways in the postmortem prefrontal cortex of Japanese patients with schizophrenia. | Arihisa W et al. | — | 2023 | → |
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| Mendelian randomization shows depression increases the risk of type 2 diabetes. | Jin H et al. | — | 2023 | → |
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| Multimodal fusion of multiple rest fMRI networks and MRI gray matter via parallel multilink joint ICA reveals highly significant function/structure coupling in Alzheimer's disease. | Khalilullah KMI et al. | — | 2023 | → |
| Multiple genes in a single GWAS risk locus synergistically mediate aberrant synaptic development and function in human neurons. | Zhang S et al. | — | 2023 | → |
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| The molecular pathology of schizophrenia: an overview of existing knowledge and new directions for future research. | Nakamura T et al. | — | 2023 | → |
| The phenotypic and genotypic association of grip strength with frailty, physical performance and functional limitations over time in older adults. | Stringa N et al. | — | 2023 | → |
| The Progress and Pitfalls of Pharmacogenetics-Based Precision Medicine in Schizophrenia Spectrum Disorders: A Systematic Review and Meta-Analysis. | Teng Y et al. | — | 2023 | → |
| The synaptic hypothesis of schizophrenia version III: a master mechanism. | Howes OD et al. | — | 2023 | → |
| Toll-Like Receptor (<i>TLR</i>) <i>1, 2</i>, and <i>6</i> Gene Polymorphisms Support Evidence of Innate Immune Factors in Schizophrenia. | Sotelo-Ramírez CE et al. | — | 2023 | → |
| Transfer learning with false negative control improves polygenic risk prediction. | Jeng XJ et al. | — | 2023 | → |
| Treatment resistance NMDA receptor pathway polygenic score is associated with brain glutamate in schizophrenia. | Griffiths K et al. | — | 2023 | → |
| Use of multiple polygenic risk scores for distinguishing schizophrenia-spectrum disorder and affective psychosis categories in a first-episode sample; the EU-GEI study. | Rodriguez V et al. | — | 2023 | → |
| Variation along P2RX7 interacts with early traumas on severity of anxiety suggesting a role for neuroinflammation. | Kristof Z et al. | — | 2023 | → |
| Working memory heterogeneity from age 7 to 11 in children at familial high risk of schizophrenia or bipolar disorder- The Danish High Risk and Resilience Study. | Andreassen AK et al. | — | 2023 | → |
| Wrestling with Social and Behavioral Genomics: Risks, Potential Benefits, and Ethical Responsibility. | Meyer MN et al. | — | 2023 | → |
| A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies. | Shao Z et al. | — | 2022 | → |
| A data-adaptive Bayesian regression approach for polygenic risk prediction. | Song S et al. | — | 2022 | → |
| Adult neural stem cells and schizophrenia. | Hu L et al. | — | 2022 | → |
| A functional neuroimaging association study on the interplay between two schizophrenia genome-wide associated genes (CACNA1C and ZNF804A). | Guardiola-Ripoll M et al. | — | 2022 | → |
| A Gene-Environment Interaction Study of Polygenic Scores and Maltreatment on Childhood ADHD. | He Q et al. | — | 2022 | → |
| A Guide for Understanding and Designing Mendelian Randomization Studies in the Musculoskeletal Field. | Hartley AE et al. | — | 2022 | → |
| A large-scale polygenic risk score analysis identified candidate proteins associated with anxiety, depression and neuroticism. | Cheng B et al. | — | 2022 | → |
| A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium. | Gutman BA et al. | — | 2022 | → |
| An accurate prediction model of digenic interaction for estimating pathogenic gene pairs of human diseases. | Yuan Y et al. | — | 2022 | → |
| An opportunity for primary prevention research in psychotic disorders. | Gershon ES et al. | — | 2022 | → |
| Antioxidative Defense Genes and Brain Structure in Youth Bipolar Disorder. | Zou Y et al. | — | 2022 | → |
| A phenome-wide association study of polygenic scores for attention deficit hyperactivity disorder across two genetic ancestries in electronic health record data. | Niarchou M et al. | — | 2022 | → |
| A Prism Vote method for individualized risk prediction of traits in genotype data of Multi-population. | Xia X et al. | — | 2022 | → |
| A Smoothed Version of the Lassosum Penalty for Fitting Integrated Risk Models Using Summary Statistics or Individual-Level Data. | Hahn G et al. | — | 2022 | → |
| Assessment of Characteristics of Imaging Biomarkers for Quantifying Anterior Cingulate Cortex Changes: A Twin Study of Middle- to Advanced-Aged Populations in East Asia. | Takahashi H et al. | — | 2022 | → |
| Association between complement component 4A expression, cognitive performance and brain imaging measures in UK Biobank. | O'Connell KS et al. | — | 2022 | → |
| Association between MAP3K4 gene polymorphisms and the risk of schizophrenia susceptibility in a Northeast Chinese Han population. | Sun Y et al. | — | 2022 | → |
| Association between mental disorders and COVID-19 outcomes among inpatients in France: A retrospective nationwide population-based study. | Descamps A et al. | — | 2022 | → |
| Association of Genome-Wide Polygenic Scores for Multiple Psychiatric and Common Traits in Preadolescent Youths at Risk of Suicide. | Joo YY et al. | — | 2022 | → |
| Association of maternal polygenic risk scores for mental illness with perinatal risk factors for offspring mental illness. | Ratanatharathorn A et al. | — | 2022 | → |
| Associations between polygenic risk, negative symptoms, and functional connectome topology during a working memory task in early-onset schizophrenia. | Deng M et al. | — | 2022 | → |
| Associations between polygenic risk scores and amplitude of low-frequency fluctuation of inferior frontal gyrus in schizophrenia. | Kang J et al. | — | 2022 | → |
| Barcoded bulk QTL mapping reveals highly polygenic and epistatic architecture of complex traits in yeast. | Nguyen Ba AN et al. | — | 2022 | → |
| Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe. | Pinzón-Espinosa J et al. | — | 2022 | → |
| Brain transcriptomic profiling reveals common alterations across neurodegenerative and psychiatric disorders. | Sadeghi I et al. | — | 2022 | → |
| Brain-wide versus genome-wide vulnerability biomarkers for severe mental illnesses. | Kochunov P et al. | — | 2022 | → |
| Can adult polygenic scores improve prediction of body mass index in childhood? | Lange K et al. | — | 2022 | → |
| Catalytic Reaction Model of Suicide. | McPherson P et al. | — | 2022 | → |
| Causal Inference with Genetic Data: Past, Present, and Future. | Pingault JB et al. | — | 2022 | → |
| Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores. | Wang Y et al. | — | 2022 | → |
| Composite immune marker scores associated with severe mental disorders and illness course. | Elkjaer Greenwood Ormerod MB et al. | — | 2022 | → |
| Computational Models for Clinical Applications in Personalized Medicine-Guidelines and Recommendations for Data Integration and Model Validation. | Collin CB et al. | — | 2022 | → |
| Consensus on potential biomarkers developed for use in clinical tests for schizophrenia. | Lin P et al. | — | 2022 | → |
| Construction and Application of Polygenic Risk Scores in Autoimmune Diseases. | Khunsriraksakul C et al. | — | 2022 | → |
| Contribution from MHC-Mediated Risk in Schizophrenia Can Reflect a More Ethnic-Specific Genetic and Comorbid Background. | Srinivas L et al. | — | 2022 | → |
| Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations. | Koller D et al. | — | 2022 | → |
| Development of the Korea-Polyenvironmental Risk Score for Psychosis. | Jeon EJ et al. | — | 2022 | → |
| Differential association of antioxidative defense genes with white matter integrity in youth bipolar disorder. | Zou Y et al. | — | 2022 | → |
| Different patterns of white matter microstructural alterations between psychotic and non-psychotic bipolar disorder. | Lee DK et al. | — | 2022 | → |
| Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants. | Aragam KG et al. | — | 2022 | → |
| Dissecting the loci underlying maturation timing in Atlantic salmon using haplotype and multi-SNP based association methods. | Sinclair-Waters M et al. | — | 2022 | → |
| DNA methylome-wide association study of genetic risk for depression implicates antigen processing and immune responses. | Shen X et al. | — | 2022 | → |
| Dynamic and Static Cognitive Deficits in Schizophrenia and Bipolar Disorder After the First Episode. | Zanelli J et al. | — | 2022 | → |
| Early deviant behaviour as a dimension trait and endophenotype in schizophrenia. | Roos JL et al. | — | 2022 | → |
| Eating disorder symptoms and their associations with anthropometric and psychiatric polygenic scores. | Abdulkadir M et al. | — | 2022 | → |
| Epigenetics and first-episode psychosis: A systematic review. | Lockwood L et al. | — | 2022 | → |
| Epigenetic signatures relating to disease-associated genotypic burden in familial risk of bipolar disorder. | Hesam-Shariati S et al. | — | 2022 | → |
| Evaluating the role of common risk variation in the recurrence risk of schizophrenia in multiplex schizophrenia families. | Ahangari M et al. | — | 2022 | → |
| Evidence From Imaging Resilience Genetics for a Protective Mechanism Against Schizophrenia in the Ventral Visual Pathway. | Hettwer MD et al. | — | 2022 | → |
| Evolutionary Origins of Metabolic Reprogramming in Cancer. | García-Sancha N et al. | — | 2022 | → |
| Examining pathways between genetic liability for schizophrenia and patterns of tobacco and cannabis use in adolescence. | Jones HJ et al. | — | 2022 | → |
| Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data. | Liu L et al. | — | 2022 | → |
| ExPRSweb: An online repository with polygenic risk scores for common health-related exposures. | Ma Y et al. | — | 2022 | → |
| Facial Emotion Recognition in Psychosis and Associations With Polygenic Risk for Schizophrenia: Findings From the Multi-Center EU-GEI Case-Control Study. | Tripoli G et al. | — | 2022 | → |
| Father absence, age at menarche, and genetic confounding: A replication and extension using a polygenic score. | Schlomer GL et al. | — | 2022 | → |
| Feasibility and application of polygenic score analysis to the morphology of human-induced pluripotent stem cells. | Coleman JRI | — | 2022 | → |
| Functional Variants of miR-143 Are Associated with Schizophrenia Susceptibility: A Preliminary Population-Based Study and Bioinformatics Analysis. | Sargazi S et al. | — | 2022 | → |
| Gene-Based Association Tests Using New Polygenic Risk Scores and Incorporating Gene Expression Data. | Yan S et al. | — | 2022 | → |
| Genetic diversity fuels gene discovery for tobacco and alcohol use. | Saunders GRB et al. | — | 2022 | → |
| Genetic heterogeneity: Challenges, impacts, and methods through an associative lens. | Woodward AA et al. | — | 2022 | → |
| Genetic Liabilities Differentiating Bipolar Disorder, Schizophrenia, and Major Depressive Disorder, and Phenotypic Heterogeneity in Bipolar Disorder. | Richards AL et al. | — | 2022 | → |
| Genetic Polymorphisms in miR-137 and Its Target Genes, TCF4 and CACNA1C, Contribute to the Risk of Bipolar Disorder: A Preliminary Case-Control Study and Bioinformatics Analysis. | Mokhtari MA et al. | — | 2022 | → |
| Genetic Risk and Chronic Obstructive Pulmonary Disease Independently Predict the Risk of Incident Severe COVID-19. | Huang QM et al. | — | 2022 | → |
| Genetic risk, incident colorectal cancer, and the benefits of adhering to a healthy lifestyle: A prospective study using data from UK Biobank and FinnGen. | Wu E et al. | — | 2022 | → |
| Genetics and Brain Transcriptomics of Completed Suicide. | Punzi G et al. | — | 2022 | → |
| Genetics-informed precision treatment formulation in schizophrenia and bipolar disorder. | Reay WR et al. | — | 2022 | → |
| Genetic variants associated with sepsis. | Engoren M et al. | — | 2022 | → |
| Genome-Transcriptome-Functional Connectivity-Cognition Link Differentiates Schizophrenia From Bipolar Disorder. | Chen J et al. | — | 2022 | → |
| Genome-wide analyses identify novel risk loci for cluster headache in Han Chinese residing in Taiwan. | Chen SP et al. | — | 2022 | → |
| Genome-wide analysis reveals genetic overlap between alcohol use behaviours, schizophrenia and bipolar disorder and identifies novel shared risk loci. | Wiström ED et al. | — | 2022 | → |
| Genomic and neuroimaging approaches to bipolar disorder. | Oraki Kohshour M et al. | — | 2022 | → |
| Genomics, convergent neuroscience and progress in understanding autism spectrum disorder. | Willsey HR et al. | — | 2022 | → |
| [Genotype - phenotype relationships in view of recent advances in the understanding of genetic causes of schizophrenia]. | Golimbet VE et al. | — | 2022 | → |
| High Blood Pressure and Intraocular Pressure: A Mendelian Randomization Study. | Plotnikov D et al. | — | 2022 | → |
| High Polygenic Risk Scores Are Associated With Early Age of Onset of Alcohol Use Disorder in Adolescents and Young Adults at Risk. | Nurnberger JI et al. | — | 2022 | → |
| How alcohol makes the epigenetic clock tick faster and the clock reversing effect of abstinence. | Zindler T et al. | — | 2022 | → |
| How Variation in Risk Allele Output and Gene Interactions Shape the Genetic Architecture of Schizophrenia. | Kasap M et al. | — | 2022 | → |
| Identification of the KCNQ1OT1/ miR-378a-3p/ RBMS1 Axis as a Novel Prognostic Biomarker Associated With Immune Cell Infiltration in Gastric Cancer. | Yue T et al. | — | 2022 | → |
| Identifying factors contributing to increased susceptibility to COVID-19 risk: a systematic review of Mendelian randomization studies. | Luo S et al. | — | 2022 | → |
| Immune marker levels in severe mental disorders: associations with polygenic risk scores of related mental phenotypes and psoriasis. | Werner MCF et al. | — | 2022 | → |
| Impaired migration of autologous induced neural stem cells from patients with schizophrenia and implications for genetic risk for psychosis. | Lee J et al. | — | 2022 | → |
| Improving polygenic prediction in ancestrally diverse populations. | Ruan Y et al. | — | 2022 | → |
| Increased circulating IL-18 levels in severe mental disorders indicate systemic inflammasome activation. | Szabo A et al. | — | 2022 | → |
| Increasing sample diversity in psychiatric genetics - Introducing a new cohort of patients with schizophrenia and controls from Vietnam - Results from a pilot study. | Nguyen VT et al. | — | 2022 | → |
| Infection Polygenic Factors Account for a Small Proportion of the Relationship Between Infections and Mental Disorders. | Shorter JR et al. | — | 2022 | → |
| Inflammation and Brain Structure in Schizophrenia and Other Neuropsychiatric Disorders: A Mendelian Randomization Study. | Williams JA et al. | — | 2022 | → |
| Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery. | Traut N et al. | — | 2022 | → |
| Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction. | Guan F et al. | — | 2022 | → |
| Interactive effects of polygenic risk and cognitive subtype on brain morphology in schizophrenia spectrum and bipolar disorders. | Quidé Y et al. | — | 2022 | → |
| In utero exposure to antipsychotic medication and psychiatric outcomes in the offspring. | Momen NC et al. | — | 2022 | → |
| IPRS: Leveraging Gene-Environment Interaction to Reconstruct Polygenic Risk Score. | Tang Y et al. | — | 2022 | → |
| Lacking social support is associated with structural divergences in hippocampus-default network co-variation patterns. | Zajner C et al. | — | 2022 | → |
| Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores. | Weissbrod O et al. | — | 2022 | → |
| Leveraging Therapy-Specific Polygenic Risk Scores to Predict Restrictive Lung Defects in Childhood Cancer Survivors. | Im C et al. | — | 2022 | → |
| Linking Inflammation, Aberrant Glutamate-Dopamine Interaction, and Post-synaptic Changes: Translational Relevance for Schizophrenia and Antipsychotic Treatment: a Systematic Review. | de Bartolomeis A et al. | — | 2022 | → |
| Loss of function of OTUD7A in the schizophrenia- associated 15q13.3 deletion impairs synapse development and function in human neurons. | Kozlova A et al. | — | 2022 | → |
| Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment. | Ferrara M et al. | — | 2022 | → |
| Magical thinking in individuals with high polygenic risk for schizophrenia but no non-affective psychoses-a general population study. | Saarinen A et al. | — | 2022 | → |
| Mapping genomic loci implicates genes and synaptic biology in schizophrenia. | Trubetskoy V et al. | — | 2022 | → |
| Mapping the genetic architecture of cortical morphology through neuroimaging: progress and perspectives. | van der Meer D et al. | — | 2022 | → |
| Mental disorders in preadolescent children at familial high-risk of schizophrenia or bipolar disorder - a four-year follow-up study: The Danish High Risk and Resilience Study, VIA 11. | Gregersen M et al. | — | 2022 | → |
| Methylation pattern and mRNA expression of synapse-relevant genes in the MAM model of schizophrenia in the time-course of adolescence. | Khan AQ et al. | — | 2022 | → |
| MiR-574-5P, miR-1827, and miR-4429 as Potential Biomarkers for Schizophrenia. | Davarinejad O et al. | — | 2022 | → |
| Morphometric Analysis of Structural MRI Using Schizophrenia Meta-analytic Priors Distinguish Patients from Controls in Two Independent Samples and in a Sample of Individuals With High Polygenic Risk. | Lancaster TM et al. | — | 2022 | → |
| Multiethnic polygenic risk prediction in diverse populations through transfer learning. | Tian P et al. | — | 2022 | → |
| Multi-omics peripheral and core regions of cancer. | Wang B et al. | — | 2022 | → |
| Network reconstruction for trans acting genetic loci using multi-omics data and prior information. | Hawe JS et al. | — | 2022 | → |
| New insights of the role of the KCNH2 gene in schizophrenia: An fMRI case-control study. | Guardiola-Ripoll M et al. | — | 2022 | → |
| Novel disease associations with schizophrenia genetic risk revealed in ~400,000 UK Biobank participants. | Zhang R et al. | — | 2022 | → |
| On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies. | Zhao B et al. | — | 2022 | → |
| PACSIN proteins in vivo: Roles in development and physiology. | Dumont V et al. | — | 2022 | → |
| Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System. | Bigdeli TB et al. | — | 2022 | → |
| Perceptions of causal attribution and attitudes to genetic testing among people with schizophrenia and their first-degree relatives. | Cullen MBR et al. | — | 2022 | → |
| Peripheral complement is increased in schizophrenia and inversely related to cortical thickness. | Ji E et al. | — | 2022 | → |
| PGS-server: accuracy, robustness and transferability of polygenic score methods for biobank scale studies. | Yang S et al. | — | 2022 | → |
| Pharmacogenetics and Schizophrenia-Can Genomics Improve the Treatment with Second-Generation Antipsychotics? | Płaza O et al. | — | 2022 | → |
| Phenotype-informed polygenic risk scores are associated with worse outcome in individuals at risk of Alzheimer's disease. | Nordengen K et al. | — | 2022 | → |
| Polygenic coronary artery disease association with brain atrophy in the cognitively impaired. | de Silva E et al. | — | 2022 | → |
| Polygenic power calculator: Statistical power and polygenic prediction accuracy of genome-wide association studies of complex traits. | Wu T et al. | — | 2022 | → |
| Polygenic risk for schizophrenia as a moderator of associations between childhood trauma and schizotypy. | Tonini E et al. | — | 2022 | → |
| Polygenic Risk for Schizophrenia Has Sex-Specific Effects on Brain Activity during Memory Processing in Healthy Individuals. | Koch E et al. | — | 2022 | → |
| Polygenic risk modeling for prediction of epithelial ovarian cancer risk. | Dareng EO et al. | — | 2022 | → |
| Polygenic risk prediction based on singular value decomposition with applications to alcohol use disorder. | Yang JJ et al. | — | 2022 | → |
| Polygenic risk provides biological validity for the ICHD-3 criteria among Finnish migraine families. | Häppölä P et al. | — | 2022 | → |
| Polygenic Risk Scores for Blood Pressure to Assess the Risk of Severe Bevacizumab-Induced Hypertension in Cancer Patients (Alliance). | Quintanilha JCF et al. | — | 2022 | → |
| Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. | O'Sullivan JW et al. | — | 2022 | → |
| Polygenic risk scores for cardiovascular disease prediction in the clinical practice: Are we there? | Paquette M et al. | — | 2022 | → |
| Polygenic Risk Scores in Alzheimer's Disease Genetics: Methodology, Applications, Inclusion, and Diversity. | Clark K et al. | — | 2022 | → |
| Polygenic scores in biomedical research. | Kullo IJ et al. | — | 2022 | → |
| Polygenic Scores in Psychiatry: On the Road From Discovery to Implementation. | Lewis CM et al. | — | 2022 | → |
| Polygenic scores: prediction versus explanation. | Plomin R et al. | — | 2022 | → |
| Potential diagnostic biomarkers for schizophrenia. | Yue W et al. | — | 2022 | → |
| Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort study. | Hahn SJ et al. | — | 2022 | → |
| Recent advancements in understanding the genetic involvement of alpha-1 antitrypsin deficiency associated lung disease: a look at future precision medicine approaches. | Ghosh AJ et al. | — | 2022 | → |
| Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression. | Talishinsky A et al. | — | 2022 | → |
| Regulatory variants at 2q33.1 confer schizophrenia risk by modulating distal gene TYW5 expression. | Li S et al. | — | 2022 | → |
| Relationship between adverse childhood experiences and symptom severity in adult men with Tourette Syndrome. | Yang K et al. | — | 2022 | → |
| Research Review: A guide to computing and implementing polygenic scores in developmental research. | Allegrini AG et al. | — | 2022 | → |
| Role of Polygenic Risk Score in the Familial Transmission of Bipolar Disorder in Youth. | Birmaher B et al. | — | 2022 | → |
| Schizophrenia Polygenic Risk and Experiences of Childhood Adversity: A Systematic Review and Meta-analysis. | Woolway GE et al. | — | 2022 | → |
| Schizophrenia risk loci from xMHC region were associated with antipsychotic response in chronic schizophrenic patients with persistent positive symptom. | Li J et al. | — | 2022 | → |
| Single episode brief psychotic disorder versus bipolar disorder: A diffusion tensor imaging and executive functions study. | El Nagar Z et al. | — | 2022 | → |
| Specific and cumulative lifetime stressors in the aetiology of major depression: A longitudinal community-based population study. | Su YY et al. | — | 2022 | → |
| Stroke genetics informs drug discovery and risk prediction across ancestries. | Mishra A et al. | — | 2022 | → |
| Study protocol to quantify the genetic architecture of sonographic cervical length and its relationship to spontaneous preterm birth. | Wolf HM et al. | — | 2022 | → |
| Synthesis of genetic association studies on autism spectrum disorders using a genetic model-free approach. | Mpoulimari I et al. | — | 2022 | → |
| Systematic Review: Molecular Studies of Common Genetic Variation in Child and Adolescent Psychiatric Disorders. | Akingbuwa WA et al. | — | 2022 | → |
| The association of personality polygenic risk score, psychosocial protective factors and suicide attempt in mood disorder. | Su MH et al. | — | 2022 | → |
| The genetic aetiology of cannabis use: from twin models to genome-wide association studies and beyond. | Verweij KJH et al. | — | 2022 | → |
| The impact of genetic risk for Alzheimer's disease on the structural brain networks of young adults. | Mirza-Davies A et al. | — | 2022 | → |
| The Influence of HLA Alleles on the Affective Distress Profile. | Vică ML et al. | — | 2022 | → |
| The next 10 years of behavioural genomic research. | Plomin R | — | 2022 | → |
| The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores. | Page ML et al. | — | 2022 | → |
| The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study. | Mononen T et al. | — | 2022 | → |
| The role of glutamate and GABA in cognitive dysfunction in schizophrenia and mood disorders - A systematic review of magnetic resonance spectroscopy studies. | Reddy-Thootkur M et al. | — | 2022 | → |
| Transcriptional programs regulating neuronal differentiation are disrupted in DLG2 knockout human embryonic stem cells and enriched for schizophrenia and related disorders risk variants. | Sanders B et al. | — | 2022 | → |
| Transcriptome-wide association study for postpartum depression implicates altered B-cell activation and insulin resistance. | Guintivano J et al. | — | 2022 | → |
| Transmembrane protein 108 inhibits the proliferation and myelination of oligodendrocyte lineage cells in the corpus callosum. | Wu Y et al. | — | 2022 | → |
| Ultrarare Loss-of-Function Mutations in the Genes Encoding the Ionotropic Glutamate Receptors of Kainate Subtypes Associated with Schizophrenia Disrupt the Interaction with PSD95. | Hu TM et al. | — | 2022 | → |
| Using a Polygenic Score to Predict the Risk of Developing Primary Osteoporosis. | Yalaev B et al. | — | 2022 | → |
| Vascular burden and genetic risk in association with cognitive performance and dementia in a population-based study. | Georgakis MK et al. | — | 2022 | → |
| Ventral Striatal-Hippocampus Coupling During Reward Processing as a Stratification Biomarker for Psychotic Disorders. | Schwarz K et al. | — | 2022 | → |
| Whole-genome analysis of human embryonic stem cells enables rational line selection based on genetic variation. | Merkle FT et al. | — | 2022 | → |
| β-Amyloid-Dependent and -Independent Genetic Pathways Regulating CSF Tau Biomarkers in Alzheimer Disease. | Kumar A et al. | — | 2022 | → |
| Aberrant Complement System Activation in Neurological Disorders. | Ziabska K et al. | — | 2021 | → |
| A BRD's (BiRD's) eye view of BET and BRPF bromodomains in neurological diseases. | Iyer H et al. | — | 2021 | → |
| A candidate biological network formed by genes from genomic and hypothesis-free scans of suicide. | Sokolowski M et al. | — | 2021 | → |
| A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts. | Ni G et al. | — | 2021 | → |
| A comprehensive gene-centric pleiotropic association analysis for 14 psychiatric disorders with GWAS summary statistics. | Lu H et al. | — | 2021 | → |
| A dimensional perspective on the genetics of obsessive-compulsive disorder. | Strom NI et al. | — | 2021 | → |
| Advances and challenges in quantitative delineation of the genetic architecture of complex traits. | Tang H et al. | — | 2021 | → |
| Advances in the genetic classification of amyotrophic lateral sclerosis. | Cooper-Knock J et al. | — | 2021 | → |
| A fast and robust Bayesian nonparametric method for prediction of complex traits using summary statistics. | Zhou G et al. | — | 2021 | → |
| A genetic risk score using human chromosomal-scale length variation can predict schizophrenia. | Toh C et al. | — | 2021 | → |
| A Higher Polygenic Risk Score Is Associated with a Higher Recurrence Rate of Atrial Fibrillation in Direct Current Cardioversion-Treated Patients. | Vogel S et al. | — | 2021 | → |
| A knowledge-based multivariate statistical method for examining gene-brain-behavioral/cognitive relationships: Imaging genetics generalized structured component analysis. | Hwang H et al. | — | 2021 | → |
| All for one and one for all: heterogeneity of genetic etiologies in neurodevelopmental psychiatric disorders. | Moreno-De-Luca D et al. | — | 2021 | → |
| A machine learning case-control classifier for schizophrenia based on DNA methylation in blood. | Gunasekara CJ et al. | — | 2021 | → |
| A Neurodevelopment Approach for a Transitional Model of Early Onset Schizophrenia. | De Berardis D et al. | — | 2021 | → |
| An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction. | Zhou X et al. | — | 2021 | → |
| A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating external information. | Chen TH et al. | — | 2021 | → |
| A Potential Autophagy-Related Competing Endogenous RNA Network and Corresponding Diagnostic Efficacy in Schizophrenia. | Li R et al. | — | 2021 | → |
| A retrospective study of pituitary-thyroid interaction in patients with first-episode of bipolar disorder type I in Mania State. | Han Y et al. | — | 2021 | → |
| A Scientometrics Analysis and Visualization of Depressive Disorder. | Xu D et al. | — | 2021 | → |
| ASSESSING SELECTION BIAS IN REGRESSION COEFFICIENTS ESTIMATED FROM NONPROBABILITY SAMPLES WITH APPLICATIONS TO GENETICS AND DEMOGRAPHIC SURVEYS. | West BT et al. | — | 2021 | → |
| Association Between Abundance of <i>Haemophilus</i> in the Gut Microbiota and Negative Symptoms of Schizophrenia. | Zhu C et al. | — | 2021 | → |
| Association Between Mental Health Disorders and Mortality Among Patients With COVID-19 in 7 Countries: A Systematic Review and Meta-analysis. | Fond G et al. | — | 2021 | → |
| Association between the Arylalkylamine N-Acetyltransferase (AANAT) Gene and Seasonality in Patients with Bipolar Disorder. | Yang SY et al. | — | 2021 | → |
| Association between the polygenic liabilities for prostate cancer and breast cancer with biochemical recurrence after radical prostatectomy for localized prostate cancer. | Wang SH et al. | — | 2021 | → |
| Association of <i>APOE</i> E2 and low-density lipoprotein with depressive symptoms in Chinese senile schizophrenia inpatients: A cross-sectional study. | Li W | — | 2021 | → |
| Association of polygenic score for major depression with response to lithium in patients with bipolar disorder. | Amare AT et al. | — | 2021 | → |
| Association of Psychiatric Disorders With Mortality Among Patients With COVID-19. | Nemani K et al. | — | 2021 | → |
| Association of the Polygenic Risk Score With the Probability of Prodromal Parkinson's Disease in Older Adults. | Maraki MI et al. | — | 2021 | → |
| Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia. | Zhu Y et al. | — | 2021 | → |
| A systematic review of gene-by-intervention studies of alcohol and other substance use. | Neale ZE et al. | — | 2021 | → |
| Auditory hallucinations across the psychosis spectrum: Evidence of dysconnectivity involving cerebellar and temporal lobe regions. | Hwang M et al. | — | 2021 | → |
| A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits. | Cai M et al. | — | 2021 | → |
| Bench Research Informed by GWAS Results. | Kondratyev NV et al. | — | 2021 | → |
| Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms. | Sugranyes G et al. | — | 2021 | → |
| Can polygenic risk scores help identify pediatric bipolar spectrum and related disorders?: A systematic review. | Biederman J et al. | — | 2021 | → |
| Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. | Wang J et al. | — | 2021 | → |
| Cell type-specific and cross-population polygenic risk score analyses of <i>MIR137</i> gene pathway in schizophrenia. | Yao Y et al. | — | 2021 | → |
| Challenges of Adjusting Single-Nucleotide Polymorphism Effect Sizes for Linkage Disequilibrium. | Escott-Price V et al. | — | 2021 | → |
| Chromatin Profiling Techniques: Exploring the Chromatin Environment and Its Contributions to Complex Traits. | Chawla A et al. | — | 2021 | → |
| Chronic migraine: Genetics or environment? | Chalmer MA et al. | — | 2021 | → |
| Cigarette smoking behaviors and the importance of ethnicity and genetic ancestry. | Choquet H et al. | — | 2021 | → |
| Clinical evidence that a dysregulated master neural network modulator may aid in diagnosing schizophrenia. | Nomoto M et al. | — | 2021 | → |
| Clinical Risk Constellations for the Development of Bipolar Disorders. | Burkhardt E et al. | — | 2021 | → |
| Common and Specific Characteristics of Adolescent Bipolar Disorder Types I and II: A Combined Cortical Thickness and Structural Covariance Analysis. | Kuang L et al. | — | 2021 | → |
| Comprehensive DNA Methylation Analysis of Human Neuroblastoma Cells Treated With Haloperidol and Risperidone. | Du J et al. | — | 2021 | → |
| Concordance of Immune-Related Markers in Lymphocytes and Prefrontal Cortex in Schizophrenia. | Gatta E et al. | — | 2021 | → |
| Coronary Artery Disease-Associated and Longevity-Associated Polygenic Risk Scores for Prediction of Coronary Artery Disease Events in Persons Living With Human Immunodeficiency Virus: The Swiss HIV Cohort Study. | Schoepf IC et al. | — | 2021 | → |
| Cystic fibrosis-related diabetes onset can be predicted using biomarkers measured at birth. | Lin YC et al. | — | 2021 | → |
| Decreased DNA methylation at promoters and gene-specific neuronal hypermethylation in the prefrontal cortex of patients with bipolar disorder. | Bundo M et al. | — | 2021 | → |
| Detection of Morphological Abnormalities in Schizophrenia: An Important Step to Identify Associated Genetic Disorders or Etiologic Subtypes. | Priol AC et al. | — | 2021 | → |
| Dietary Habit Is Associated with Depression and Intelligence: An Observational and Genome-Wide Environmental Interaction Analysis in the UK Biobank Cohort. | Cheng B et al. | — | 2021 | → |
| Differential resting-state patterns across networks are spatially associated with Comt and Trmt2a gene expression patterns in a mouse model of 22q11.2 deletion. | Gass N et al. | — | 2021 | → |
| DNA methylation meta-analysis reveals cellular alterations in psychosis and markers of treatment-resistant schizophrenia. | Hannon E et al. | — | 2021 | → |
| Duration of Untreated Psychosis in First-Episode Psychosis is not Associated With Common Genetic Variants for Major Psychiatric Conditions: Results From the Multi-Center EU-GEI Study. | Ajnakina O et al. | — | 2021 | → |
| Dysbiosis, gut-blood barrier rupture and autoimmune response in rheumatoid arthritis and schizophrenia. | Maślińska M et al. | — | 2021 | → |
| Dysregulation of post-transcriptional modification by copy number variable microRNAs in schizophrenia with enhanced glycation stress. | Yoshikawa A et al. | — | 2021 | → |
| Editorial: Genetic Mechanisms of Biomarkers in Schizophrenia, Bipolar Disorder and Depression. | Tang Y et al. | — | 2021 | → |
| Elevated expression of complement C4 in the mouse prefrontal cortex causes schizophrenia-associated phenotypes. | Druart M et al. | — | 2021 | → |
| Environmental Risk Factors for Schizophrenia and Bipolar Disorder and Their Relationship to Genetic Risk: Current Knowledge and Future Directions. | Robinson N et al. | — | 2021 | → |
| Environmental Risk Factors in Bipolar Disorder and Psychotic Depression: A Systematic Review and Meta-Analysis of Prospective Studies. | Rodriguez V et al. | — | 2021 | → |
| Estimating prevalence of human traits among populations from polygenic risk scores. | Graham BE et al. | — | 2021 | → |
| Evaluation of polygenic prediction methodology within a reference-standardized framework. | Pain O et al. | — | 2021 | → |
| Every Night and Every Morn: Effect of Variation in <i>CLOCK</i> Gene on Depression Depends on Exposure to Early and Recent Stress. | Gyorik D et al. | — | 2021 | → |
| Evidence for the Association between the Intronic Haplotypes of Ionotropic Glutamate Receptors and First-Episode Schizophrenia. | Hirschfeldova K et al. | — | 2021 | → |
| From Basic Science to Clinical Application of Polygenic Risk Scores: A Primer. | Wray NR et al. | — | 2021 | → |
| From genetics to systems biology of stress-related mental disorders. | Dalvie S et al. | — | 2021 | → |
| Functional co-activation of the default mode network in APOE ε4-carriers: A replication study. | Mentink LJ et al. | — | 2021 | → |
| Functional connectome-wide associations of schizophrenia polygenic risk. | Cao H et al. | — | 2021 | → |
| Functional consequences of TCF4 missense substitutions associated with Pitt-Hopkins syndrome, mild intellectual disability, and schizophrenia. | Sirp A et al. | — | 2021 | → |
| GABAergic polygenic risk for cocaine use disorder is negatively correlated with precuneus activity during cognitive control in African American individuals. | Yang BZ et al. | — | 2021 | → |
| Gene-based association analysis reveals involvement of LAMA5 and cell adhesion pathways in nicotine dependence in African- and European-American samples. | Fan R et al. | — | 2021 | → |
| Genes associated with gray matter volume alterations in schizophrenia. | Ji Y et al. | — | 2021 | → |
| Genetic architecture of schizophrenia: a review of major advancements. | Legge SE et al. | — | 2021 | → |
| Genetic contributions to bipolar disorder: current status and future directions. | O'Connell KS et al. | — | 2021 | → |
| Genetic dissection of complex traits using hierarchical biological knowledge. | Tanaka H et al. | — | 2021 | → |
| Genetic essentialism: The mediating role of essentialist biases on the relationship between genetic knowledge and the interpretations of genetic information. | Dar-Nimrod I et al. | — | 2021 | → |
| Genetic evidence for a large overlap and potential bidirectional causal effects between resilience and well-being. | de Vries LP et al. | — | 2021 | → |
| Genetic overlap between Alzheimer's disease and blood lipid levels. | van der Linden RJ et al. | — | 2021 | → |
| Genetic Overlap Profiles of Cognitive Ability in Psychotic and Affective Illnesses: A Multisite Study of Multiplex Pedigrees. | Knowles EEM et al. | — | 2021 | → |
| Genetic prediction of complex traits with polygenic scores: a statistical review. | Ma Y et al. | — | 2021 | → |
| Genetic predispositions moderate the effectiveness of tobacco excise taxes. | Slob EAW et al. | — | 2021 | → |
| Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex. | Abé C et al. | — | 2021 | → |
| Genetic risk for schizophrenia is associated with altered visually-induced gamma band activity: evidence from a population sample stratified polygenic risk. | Dimitriadis SI et al. | — | 2021 | → |
| Genetic Risk Scores Identify Genetic Aetiology of Inflammatory Bowel Disease Phenotypes. | Voskuil MD et al. | — | 2021 | → |
| Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study. | Anwar MY et al. | — | 2021 | → |
| Genetic variants in glutamate-, Aβ-, and tau-related pathways determine polygenic risk for Alzheimer's disease. | Lawingco T et al. | — | 2021 | → |
| Genome sequencing broadens the range of contributing variants with clinical implications in schizophrenia. | Mojarad BA et al. | — | 2021 | → |
| Genome-wide analyses of smoking behaviors in schizophrenia: Findings from the Psychiatric Genomics Consortium. | Peterson RE et al. | — | 2021 | → |
| Genome-wide association identifies the first risk loci for psychosis in Alzheimer disease. | DeMichele-Sweet MAA et al. | — | 2021 | → |
| Genome-wide association studies for mottled eggs in chickens using a high-density single-nucleotide polymorphism array. | Qu L et al. | — | 2021 | → |
| Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans. | Bigdeli TB et al. | — | 2021 | → |
| Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia. | Liu J et al. | — | 2021 | → |
| Genome wide association study identifies four loci for early onset schizophrenia. | Guo S et al. | — | 2021 | → |
| Genome-Wide Variants Associated With Longitudinal Survival Outcomes Among Individuals With Coronary Artery Disease. | Dungan JR et al. | — | 2021 | → |
| GenoRisk: A polygenic risk score for Alzheimer's disease. | Dickson SP et al. | — | 2021 | → |
| Global Brain Flexibility During Working Memory Is Reduced in a High-Genetic-Risk Group for Schizophrenia. | Dimitriadis SI et al. | — | 2021 | → |
| Glyoxalase 1 Confers Susceptibility to Schizophrenia: From Genetic Variants to Phenotypes of Neural Function. | Yin J et al. | — | 2021 | → |
| Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks. | Amar D et al. | — | 2021 | → |
| Greater effect of polygenic risk score for Alzheimer's disease among younger cases who are apolipoprotein E-ε4 carriers. | Fulton-Howard B et al. | — | 2021 | → |
| Gut microbiota is associated with bone mineral density : an observational and genome-wide environmental interaction analysis in the UK Biobank cohort. | Cheng B et al. | — | 2021 | → |
| GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background. | Sinnott-Armstrong N et al. | — | 2021 | → |
| Haloperidol rescues the schizophrenia-like phenotype in adulthood after rotenone administration in neonatal rats. | Varga TG et al. | — | 2021 | → |
| Hidden Role of Gut Microbiome Dysbiosis in Schizophrenia: Antipsychotics or Psychobiotics as Therapeutics? | Munawar N et al. | — | 2021 | → |
| HLA-E circulating and genetic determinants in schizophrenia and bipolar disorder. | Boukouaci W et al. | — | 2021 | → |
| How rare and common risk variation jointly affect liability for autism spectrum disorder. | Klei L et al. | — | 2021 | → |
| Human disease biomarker panels through systems biology. | Smith BJ et al. | — | 2021 | → |
| Hypothalamus and weight loss in amyotrophic lateral sclerosis. | Ahmed RM et al. | — | 2021 | → |
| Identification of Common Pathogenetic Processes between Schizophrenia and Diabetes Mellitus by Systems Biology Analysis. | Rahman MR et al. | — | 2021 | → |
| Identifying individuals with high risk of Alzheimer's disease using polygenic risk scores. | Leonenko G et al. | — | 2021 | → |
| Immune environment of the brain in schizophrenia and during the psychotic episode: A human post-mortem study. | De Picker LJ et al. | — | 2021 | → |
| Immune Signatures of Treatment-Resistant Schizophrenia: A FondaMental Academic Centers of Expertise for Schizophrenia (FACE-SZ) Study. | Leboyer M et al. | — | 2021 | → |
| Immune system regulation and role of the human leukocyte antigen in posttraumatic stress disorder. | Katrinli S et al. | — | 2021 | → |
| Implementation and implications for polygenic risk scores in healthcare. | Slunecka JL et al. | — | 2021 | → |
| Improving the Utility of Polygenic Risk Scores as a Biomarker for Alzheimer's Disease. | Vlachakis D et al. | — | 2021 | → |
| Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets. | Márquez-Luna C et al. | — | 2021 | → |
| Incorporating Polygenic Risk Scores in the ACE Twin Model to Estimate A-C Covariance. | Dolan CV et al. | — | 2021 | → |
| Independent and cumulative coeliac disease-susceptibility loci are associated with distinct disease phenotypes. | Cerqueira JXM et al. | — | 2021 | → |
| Individual Differences in Cognitive Performance Are Better Predicted by Global Rather Than Localized BOLD Activity Patterns Across the Cortex. | Zhao W et al. | — | 2021 | → |
| Individuals at increased risk for development of bipolar disorder display structural alterations similar to people with manifest disease. | Mikolas P et al. | — | 2021 | → |
| Inflammatory signaling mechanisms in bipolar disorder. | Jones GH et al. | — | 2021 | → |
| Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases. | Ritchie SC et al. | — | 2021 | → |
| Interaction-Based Feature Selection Algorithm Outperforms Polygenic Risk Score in Predicting Parkinson's Disease Status. | Cope JL et al. | — | 2021 | → |
| Involvement of the nuclear factor-κB transcriptional complex in prefrontal cortex immune activation in bipolar disorder. | Roman KM et al. | — | 2021 | → |
| Jumping to conclusions, general intelligence, and psychosis liability: findings from the multi-centre EU-GEI case-control study. | Tripoli G et al. | — | 2021 | → |
| LDpred2: better, faster, stronger. | Privé F et al. | — | 2021 | → |
| Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders. | Searles Quick VB et al. | — | 2021 | → |
| Loneliness is linked to specific subregional alterations in hippocampus-default network covariation. | Zajner C et al. | — | 2021 | → |
| Mapping Pathways by Which Genetic Risk Influences Adolescent Externalizing Behavior: The Interplay Between Externalizing Polygenic Risk Scores, Parental Knowledge, and Peer Substance Use. | Kuo SI et al. | — | 2021 | → |
| Mapping working memory-specific dysfunction using a transdiagnostic approach. | Yaple ZA et al. | — | 2021 | → |
| Massively Parallel Reporter Assays: Defining Functional Psychiatric Genetic Variants Across Biological Contexts. | Mulvey B et al. | — | 2021 | → |
| MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits. | Runcie DE et al. | — | 2021 | → |
| MHC class I H2-Kb negatively regulates neural progenitor cell proliferation by inhibiting FGFR signaling. | Lin K et al. | — | 2021 | → |
| miR-132 Regulates PTSD-like Behaviors in Rats Following Single-Prolonged Stress Through Fragile X-Related Protein 1. | Nie PY et al. | — | 2021 | → |
| Molecular characterisation of rare loss-of-function NPAS3 and NPAS4 variants identified in individuals with neurodevelopmental disorders. | Rossi JJ et al. | — | 2021 | → |
| Multimodal hippocampal and amygdala subfield volumetry in polygenic risk for Alzheimer's disease. | Murray AN et al. | — | 2021 | → |
| Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score. | Hu K et al. | — | 2021 | → |
| Neurogranin, Encoded by the Schizophrenia Risk Gene NRGN, Bidirectionally Modulates Synaptic Plasticity via Calmodulin-Dependent Regulation of the Neuronal Phosphoproteome. | Hwang H et al. | — | 2021 | → |
| Neuropsychiatric disorders: An immunological perspective. | Aw E et al. | — | 2021 | → |
| Neuropsychiatric Genetics of Psychosis in the Mexican Population: A Genome-Wide Association Study Protocol for Schizophrenia, Schizoaffective, and Bipolar Disorder Patients and Controls. | Camarena B et al. | — | 2021 | → |
| Neurotrophin receptor activation rescues cognitive and synaptic abnormalities caused by hemizygosity of the psychiatric risk gene Cacna1c. | Tigaret CM et al. | — | 2021 | → |
| New Insights Regarding Diagnosis and Medication for Schizophrenia Based on Neuronal Synapse-Microglia Interaction. | Izuo N et al. | — | 2021 | → |
| Novel ultra-rare exonic variants identified in a founder population implicate cadherins in schizophrenia. | Lencz T et al. | — | 2021 | → |
| Oxidative Stress and the Pathophysiology and Symptom Profile of Schizophrenia Spectrum Disorders. | Murray AJ et al. | — | 2021 | → |
| Oxidative Stress-Related Mechanisms in Schizophrenia Pathogenesis and New Treatment Perspectives. | Ermakov EA et al. | — | 2021 | → |
| Placental genomic risk scores and early neurodevelopmental outcomes. | Ursini G et al. | — | 2021 | → |
| Pleiotropy between language impairment and broader behavioral disorders-an investigation of both common and rare genetic variants. | Nudel R et al. | — | 2021 | → |
| Polygenic risk for autism, attention-deficit hyperactivity disorder, schizophrenia, major depressive disorder, and neuroticism is associated with the experience of childhood abuse. | Ratanatharathorn A et al. | — | 2021 | → |
| Polygenic risk for coronary artery disease in the Scottish and English population. | Yang C et al. | — | 2021 | → |
| Polygenic Risk for Insomnia in Adolescents of Diverse Ancestry. | Ma T et al. | — | 2021 | → |
| Polygenic Risk for Major Depression Interacts with Parental Criticism in Predicting Adolescent Depressive Symptom Development. | Nelemans SA et al. | — | 2021 | → |
| Polygenic Risk of Psychiatric Disorders Exhibits Cross-trait Associations in Electronic Health Record Data From European Ancestry Individuals. | Kember RL et al. | — | 2021 | → |
| Polygenic risk score as clinical utility in psychiatry: a clinical viewpoint. | Ikeda M et al. | — | 2021 | → |
| Polygenic Scores and Parental Predictors: An Adult Height Study Based on the United Kingdom Biobank and the Framingham Heart Study. | You C et al. | — | 2021 | → |
| Population-specific causal disease effect sizes in functionally important regions impacted by selection. | Shi H et al. | — | 2021 | → |
| Precision and personalized assessment, diagnosis and treatment in psychiatry. | Fountoulakis KN et al. | — | 2021 | → |
| Predicting the Future of Genetic Risk Profiling of Glaucoma: A Narrative Review. | Han X et al. | — | 2021 | → |
| Prognostic value of polygenic risk scores for adults with psychosis. | Landi I et al. | — | 2021 | → |
| Prolonged functional cerebral asymmetry as a consequence of dysfunctional parvocellular paraventricular hypothalamic nucleus signaling: An integrative model for the pathophysiology of bipolar disorder. | Levenberg K et al. | — | 2021 | → |
| Prospective Long-Term Cohort Study of Subjects With First-Episode Psychosis Examining Eight Major Outcome Domains and Their Predictors: Study Protocol. | Peralta V et al. | — | 2021 | → |
| PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics. | Zhao Z et al. | — | 2021 | → |
| RápidoPGS: a rapid polygenic score calculator for summary GWAS data without a test dataset. | Reales G et al. | — | 2021 | → |
| Rare germline variants in individuals diagnosed with schizophrenia within multiplex families. | Li S et al. | — | 2021 | → |
| Rare Pathogenic Variants in Genes Implicated in Glutamatergic Neurotransmission Pathway Segregate with Schizophrenia in Pakistani Families. | Fatima A et al. | — | 2021 | → |
| Recapitulating Evolutionary Divergence in a Single Cis-Regulatory Element Is Sufficient to Cause Expression Changes of the Lens Gene Tdrd7. | Roscito JG et al. | — | 2021 | → |
| Research Progress on the Correlation Between Epigenetics and Schizophrenia. | Chen Q et al. | — | 2021 | → |
| Resolving cell state in iPSC-derived human neural samples with multiplexed fluorescence imaging. | Tomov ML et al. | — | 2021 | → |
| Resource profile and user guide of the Polygenic Index Repository. | Becker J et al. | — | 2021 | → |
| Rostral middle frontal gyrus thickness mediates the relationship between genetic risk and neuroticism trait. | Song L et al. | — | 2021 | → |
| Schizophrenia-associated variation at ZNF804A correlates with altered experience-dependent dynamics of sleep slow waves and spindles in healthy young adults. | Bartsch U et al. | — | 2021 | → |
| Schizophrenia polygenic risk scores in youth mental health: preliminary associations with diagnosis, clinical stage and functioning. | Crouse JJ et al. | — | 2021 | → |
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| Technological readiness and implementation of genomic-driven precision medicine for complex diseases. | Franks PW et al. | — | 2021 | → |
| The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining developmental and sex differences. | Meyers JL et al. | — | 2021 | → |
| The Causal Effects of Insomnia on Bipolar Disorder, Depression, and Schizophrenia: A Two-Sample Mendelian Randomization Study. | Huang P et al. | — | 2021 | → |
| The impact of parenting a child with serious mental illness: Accounting for the parent's genetic vulnerability to mental illness. | Greenberg J et al. | — | 2021 | → |
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| The neurocognitive and functional profile of schizophrenia in a genetically homogenous European sample. | da Motta C et al. | — | 2021 | → |
| The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation. | Lambert SA et al. | — | 2021 | → |
| Therapeutic Potential of Natural Psychoactive Drugs for Central Nervous System Disorders: A Perspective from Polypharmacology. | Oña G et al. | — | 2021 | → |
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| Understanding the genetic contribution of the human leukocyte antigen system to common major psychiatric disorders in a world pandemic context. | Tamouza R et al. | — | 2021 | → |
| Using a developmental perspective to examine the moderating effects of marriage on heavy episodic drinking in a young adult sample enriched for risk. | Cho SB et al. | — | 2021 | → |
| Using Genetic Marginal Effects to Study Gene-Environment Interactions with GWAS Data. | Verhulst B et al. | — | 2021 | → |
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| Accurate and Scalable Construction of Polygenic Scores in Large Biobank Data Sets. | Yang S et al. | — | 2020 | → |
| Acutely ill psychiatric inpatients and antimicrobial exposure. | Kehoe KP et al. | — | 2020 | → |
| Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets. | Cai X et al. | — | 2020 | → |
| Additive Burden of Abnormal Diffusivity in the Brain with Schizophrenia: A Diffusion Tensor Imaging Study with Public Neuroimaging Data. | Jo YT et al. | — | 2020 | → |
| Age-dependent effect of APOE and polygenic component on Alzheimer's disease. | Bellou E et al. | — | 2020 | → |
| A Genome-Wide Pharmacogenetic Study of Growth Hormone Responsiveness. | Dauber A et al. | — | 2020 | → |
| Analysis of exome-sequenced UK Biobank subjects implicates genes affecting risk of hyperlipidaemia. | Curtis D | — | 2020 | → |
| An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings: The PsyCourse Study. | Dwyer DB et al. | — | 2020 | → |
| Antipsychotic <b>E</b>ffects on <b>C</b>ortical Morphology in <b>S</b>chizophrenia and <b>B</b>ipolar <b>D</b>isorders. | Feng R et al. | — | 2020 | → |
| An update on genetic risk scores for coronary artery disease: are they useful for predicting disease risk and guiding clinical decisions? | Lieb W et al. | — | 2020 | → |
| A Polygenic and Phenotypic Risk Prediction for Polycystic Ovary Syndrome Evaluated by Phenome-Wide Association Studies. | Joo YY et al. | — | 2020 | → |
| A principal component approach to improve association testing with polygenic risk scores. | Coombes BJ et al. | — | 2020 | → |
| Associations between schizophrenia polygenic risk and apathy in schizophrenia spectrum disorders and healthy controls. | Lyngstad SH et al. | — | 2020 | → |
| Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model. | Holland D et al. | — | 2020 | → |
| Can genomes predict coral bleaching? | Bay RA et al. | — | 2020 | → |
| Changes from ICD-10 to ICD-11 and future directions in psychiatric classification . | Gaebel W et al. | — | 2020 | → |
| Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders. | Dai Y et al. | — | 2020 | → |
| Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia. | Meier SM et al. | — | 2020 | → |
| Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts. | Moll M et al. | — | 2020 | → |
| Clinical Features and Genetic Risk of Demyelination Following Anti-TNF Treatment. | Lin S et al. | — | 2020 | → |
| CNVs and Chromosomal Aneuploidy in Patients With Early-Onset Schizophrenia and Bipolar Disorder: Genotype-Phenotype Associations. | Gregoric Kumperscak H et al. | — | 2020 | → |
| Coinherited genetics of multiple myeloma and its precursor, monoclonal gammopathy of undetermined significance. | Clay-Gilmour AI et al. | — | 2020 | → |
| Collagenous Colitis Is Associated With HLA Signature and Shares Genetic Risks With Other Immune-Mediated Diseases. | Stahl E et al. | — | 2020 | → |
| Common and distinct functional stability abnormalities across three major psychiatric disorders. | Zhu J et al. | — | 2020 | → |
| Common mechanisms for type 2 diabetes and psychosis: Findings from a prospective birth cohort. | Perry BI et al. | — | 2020 | → |
| Common variants in FAN1, located in 15q13.3, confer risk for schizophrenia and bipolar disorder in Han Chinese. | Jian X et al. | — | 2020 | → |
| Considering the APOE locus in Alzheimer's disease polygenic scores in the Health and Retirement Study: a longitudinal panel study. | Ware EB et al. | — | 2020 | → |
| Contribution of common and rare damaging variants in familial forms of bipolar disorder and phenotypic outcome. | Courtois E et al. | — | 2020 | → |
| Contribution of common and rare variants to bipolar disorder susceptibility in extended pedigrees from population isolates. | Sul JH et al. | — | 2020 | → |
| Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence. | Lett TA et al. | — | 2020 | → |
| Current challenges and possible future developments in personalized psychiatry with an emphasis on psychotic disorders. | Levchenko A et al. | — | 2020 | → |
| Decreased IL-1β-induced CCL20 response in human iPSC-astrocytes in schizophrenia: Potential attenuating effects on recruitment of regulatory T cells. | Akkouh IA et al. | — | 2020 | → |
| Developing and testing high-efficacy patient subgroups within a clinical trial using risk scores. | Cherlin S et al. | — | 2020 | → |
| Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network. | Yazdani A et al. | — | 2020 | → |
| Do Current Measures of Polygenic Risk for Mental Disorders Contribute to Population Variance in Mental Health? | Marsman A et al. | — | 2020 | → |
| Effects of the Openness to Experience Polygenic Score on Cortical Thickness and Functional Connectivity. | Ren Z et al. | — | 2020 | → |
| Efficacy of cognitive-behavioral group therapy in patients at risk for serious mental illness presenting with subthreshold bipolar symptoms: Results from a prespecified interim analysis of a multicenter, randomized, controlled study. | Leopold K et al. | — | 2020 | → |
| Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives. | Truong B et al. | — | 2020 | → |
| Emerging phenotyping strategies will advance our understanding of psychiatric genetics. | Sanchez-Roige S et al. | — | 2020 | → |
| Evaluating the Hypothesis That Schizophrenia Is an Inflammatory Disorder. | Miller BJ et al. | — | 2020 | → |
| Exploring the Link Between Additive Heritability and Prediction Accuracy From a Ridge Regression Perspective. | Frouin A et al. | — | 2020 | → |
| Fine-tuning of Genome-Wide Polygenic Risk Scores and Prediction of Gestational Diabetes in South Asian Women. | Lamri A et al. | — | 2020 | → |
| Functionally informed fine-mapping and polygenic localization of complex trait heritability. | Weissbrod O et al. | — | 2020 | → |
| Gene-environment interaction: New insights into perceived parenting and social anxiety among adolescents. | Chubar V et al. | — | 2020 | → |
| Gene-set Enrichment with Mathematical Biology (GEMB). | Cochran AL et al. | — | 2020 | → |
| Genetic architecture of Alzheimer's disease. | Neuner SM et al. | — | 2020 | → |
| Genetic architecture of cardiometabolic risks in people living with HIV. | Cheng H et al. | — | 2020 | → |
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| Genetic Contributions to Multivariate Data-Driven Brain Networks Constructed via Source-Based Morphometry. | Rodrigue AL et al. | — | 2020 | → |
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