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

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...

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Vydáno v:Nat Commun
Hlavní autoři: Frei, Oleksandr, Holland, Dominic, Smeland, Olav B., Shadrin, Alexey A., Fan, Chun Chieh, Maeland, Steffen, O’Connell, Kevin S., Wang, Yunpeng, Djurovic, Srdjan, Thompson, Wesley K., Andreassen, Ole A., Dale, Anders M.
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2019
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6547727/
https://ncbi.nlm.nih.gov/pubmed/31160569
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-10310-0
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