Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation

Frei, Oleksandr; Holland, Dominic; B. Smeland, Olav; Shadrin, Alexey; Chieh Fan, Chun; Maeland, Steffen; S. O’Connell, Kevin; Wang, Yunpeng; Djurovic, Srdjan; K. Thompson, Wesley; A. Andreassen, Ole; M. Dale, Anders

doi:10.1038/s41467-019-10310-0

Public

Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation

Published in Nature Communications • Jun 3, 2019

Authors:

Oleksandr Frei

Dominic Holland

Olav B. Smeland

Abstract

Accumulating evidence from genome wide association studies (GWAS) suggests an abundance of shared genetic influences among complex human traits and disorders, such as mental disorders. Here we introduce a statistical tool, MiXeR, which quantifies polygenic overlap irrespective of genetic correlation...

Subject

Genome-wide association study

Heritability

Correlation

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