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Author: Shaun M. Purcell

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    • genetics: 30,034 (rank: 174 out of 38,573)
    • genomics: 9,360 (rank: 1,763 out of 45,497)

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Preprints

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

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Genomewide association study identifies 30 loci associated with bipolar disorder

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Regulatory variants explain much more heritability than coding variants across 11 common diseases

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Ultra-rare disruptive and damaging mutations influence educational attainment in the general population

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Gene Expression Elucidates Functional Impact of Polygenic Risk for Schizophrenia

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Biological and clinical insights from genetics of insomnia symptoms

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A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects

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GWAS in 446,118 European adults identifies 78 genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates

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Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders

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Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypes

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Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits

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Gene expression imputation across multiple brain regions reveals schizophrenia risk throughout development.

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Rare loss-of-function variants in KMT2F are associated with schizophrenia and developmental disorders

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Integrative analysis of rare variants and pathway information shows convergent results between immune pathways, drug targets and epilepsy genes

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Genome-wide association analysis of excessive daytime sleepiness identifies 42 loci that suggest phenotypic subgroups

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Contribution of rare copy number variants to bipolar disorder risk is limited to schizoaffective cases

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Characterization of single gene copy number variants in schizophrenia

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Whole-Genome Association Analyses of Sleep-disordered Breathing Phenotypes in the NHLBI TOPMed Program

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mTADA: a framework for analyzing de novo mutations in multiple traits

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Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American specific associations

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