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Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 67,545 bioRxiv papers from 297,698 authors.

Author: Kenneth S. Kendler

  • ORCiD: http://orcid.org/0000-0001-8689-6570
  • Most recently observed institution: Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University

Rankings

  • All-time downloads: 38,006 (rank: 422 out of 297,643)
  • Categories:
    • bioinformatics: 548 (rank: 13,671 (tie) out of 25,899)
    • genetics: 32,889 (rank: 116 out of 29,679)
    • genomics: 4,401 (rank: 3,177 (tie) out of 33,777)
    • neuroscience: 168 (rank: 41,425 (tie) out of 49,712)

Downloads per author, site-wide

Preprints

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

genetics more details view paper
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A comprehensive map of genetic variation in the world's largest ethnic group - Han Chinese

genetics more details view paper
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GWAS meta-analysis (N=279,930) identifies new genes and functional links to intelligence

genetics more details view paper
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Genome wide meta-analysis identifies genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders.

genomics more details view paper
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Contrasting regional architectures of schizophrenia and other complex diseases using fast variance components analysis

genetics more details view paper
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Haplotypes of common SNPs can explain missing heritability of complex diseases

genetics more details view paper
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A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects

genetics more details view paper
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Trans-ancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

genetics more details view paper
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Minimal phenotyping yields GWAS hits of reduced specificity for major depression

genetics more details view paper
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Not just one p: Multivariate GWAS of psychiatric disorders and their cardinal symptoms reveal two dimensions of cross-cutting genetic liabilities

genetics more details view paper
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Genome-wide association study of suicide attempt in psychiatric disorders identifies association with major depression polygenic risk scores

genetics more details view paper
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Polygenic prediction of the phenome, across ancestry, in emerging adulthood

genomics more details view paper
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Evidence of causal effect of major depression on alcohol dependence: Findings from the Psychiatric Genomics Consortium

genetics more details view paper
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Genome-wide Association Study of Clinical Features in the Schizophrenia Psychiatric Genomics Consortium: Confirmation of Polygenic Effect on Negative Symptoms

genetics more details view paper
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Proof of concept: Molecular prediction of schizophrenia risk

genomics more details view paper
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FIQT: a simple, powerful method to accurately estimate effect sizes in genome scans

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Method to estimate the approximate samples size that yield a certain number of significant GWAS signals in polygenic traits

genetics more details view paper
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Shared Genetic Risk between Eating Disorder- and Substance-Use-Related Phenotypes: Evidence from Genome-Wide Association Studies

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Pathway-based polygenic risk implicates GO: 17144 drug metabolism in recurrent depressive disorder

genetics more details view paper
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JEPEGMIX2: improved gene-level joint analysis of eQTLs in cosmopolitan cohorts.

bioinformatics more details view paper
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JEPEGMIX2-P: a novel transcriptomic pathway method that greatly enhances detection of the molecular underpinnings for complex traits

bioinformatics more details view paper
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Assessing the role of long-noncoding RNA in nucleus accumbens in subjects with alcohol dependence

neuroscience more details view paper
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DISTMIX2: robust imputation of summary statistics for cosmopolitan cohorts using a large and diverse reference panel

bioinformatics more details view paper
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Subthreshold psychosis symptoms associated with molecular genetic risk in a population-based cohort: Findings from Generation Scotland

genetics more details view paper
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