BIVARIATE GAUSSIAN MIXTURE MODEL FOR GWAS SUMMARY STATISTICS
Abstract
Identifying shared genetics is important as it uncovers hidden relationship between complex traits and improves our understanding of disease etiology. Today genetic correlation is commonly used as the principal measure that quantifies genetic overlap. Available methods can calculate genetic correlation from raw genotypes (restricted maximum likelihood, polygenic risk scores), from a set of Single-Nucleotide Polymorphisms (SNPs) that pass...
Paper Details
Title
BIVARIATE GAUSSIAN MIXTURE MODEL FOR GWAS SUMMARY STATISTICS
Published Date
Jan 1, 2019
Volume
29
Pages
S898 - S899
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