Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries.
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Phenomewide Association Study of Health Outcomes Associated With the Genetic Correlates of 25 Hydroxyvitamin D Concentration and Vitamin D Binding Protein Concentration.
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Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression.
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Genetic control of DNA methylation is largely shared across European and East Asian populations.
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Publisher Correction: Genetic correlates of vitamin D-binding protein and 25-hydroxyvitamin D in neonatal dried blood spots.
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Impact of genetic, sociodemographic, and clinical features on antidepressant treatment trajectories in the perinatal period.
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Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study.
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Erratum: Autism-related dietary preferences mediate autism-gut microbiome associations (Cell (2021) 184(24) (5916–5931.e17), (S0092867421012319), (10.1016/j.cell.2021.10.015))
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Evening chronotypes with depression report poorer outcomes of SSRIs: A survey-based study of self-ratings.
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The correlates of neonatal complement component 3 and 4 protein concentrations with a focus on psychiatric and autoimmune disorders.
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Lithium Response in Bipolar Disorder is Associated with Focal Adhesion and PI3K-Akt Networks: A Multi-omics Replication Study.
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Polygenic risk scores and the prediction of onset of mood and psychotic disorders in adolescents and young adults.
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Meet the authors: Dr. Yeda Wu and Dr. Naomi Wray
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Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D
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Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes.
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Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions.
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R2ROC: An efficient method of comparing two or more correlated AUC from out-of-sample prediction using polygenic scores
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