Article
GW-SEM 2.0: Efficient, Flexible, and Accessible Multivariate GWAS.
Behavior genetics - 1 May 2021
Pritikin Joshua N, Neale Michael C, Prom-Wormley Elizabeth C, Clark Shaunna L, Verhulst Brad
Abstract excerpt
Most genome-wide association study (GWAS) analyses test the association between single-nucleotide polymorphisms (SNPs) and a single trait or outcome. While valuable second-step analyses of these associations (e.g., calculating genetic correlations between traits) are common, single-step multivariate analyses of GWAS data are rarely performed. This is unfortunate because multivariate analyses can reveal...
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