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

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

To better understand the phenotypic relationships of complex traits it is also important to understand their genetic overlap. Here, Frei et al. develop MiXeR which uses GWAS summary statistics to evaluate the polygenic overlap between two traits irrespective of their genetic correlation.

Bibliographic Details
Main Authors: Oleksandr Frei, Dominic Holland, Olav B. Smeland, Alexey A. Shadrin, Chun Chieh Fan, Steffen Maeland, Kevin S. O’Connell, Yunpeng Wang, Srdjan Djurovic, Wesley K. Thompson, Ole A. Andreassen, Anders M. Dale
Format: Article
Language:English
Published: Nature Publishing Group 2019-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-10310-0

Internet

https://doi.org/10.1038/s41467-019-10310-0

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