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Dataset Information

Genome-Wide Association Study of Suicide Death and Polygenic Prediction of Clinical Antecedents.


ABSTRACT:

Objective

Death by suicide is a highly preventable yet growing worldwide health crisis. To date, there has been a lack of adequately powered genomic studies of suicide, with no sizable suicide death cohorts available for analysis. To address this limitation, the authors conducted the first comprehensive genomic analysis of suicide death using previously unpublished genotype data from a large population-ascertained cohort.

Methods

The analysis sample comprised 3,413 population-ascertained case subjects of European ancestry and 14,810 ancestrally matched control subjects. Analytical methods included principal component analysis for ancestral matching and adjusting for population stratification, linear mixed model genome-wide association testing (conditional on genetic-relatedn

SUBMITTER: Docherty AR 

PROVIDER: S-EPMC7872505 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature