Article

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

2017-12-27

Abstract excerpt

<h4>ABSTRACT</h4> 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. While current cross-trait analytical methods focus on genetic correlation between traits, we developed a novel statistical tool (MiXeR), which quantifies polygenic overlap independent of genetic correlation, using...

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Literature Corpus work: ac8deae4-6101-533f-ae7e-61446aeb9d18
DOI: 10.1101/240275

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