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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547727/
https://www.ncbi.nlm.nih.gov/pubmed/31160569
http://dx.doi.org/10.1038/s41467-019-10310-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547727/
https://www.ncbi.nlm.nih.gov/pubmed/31160569
http://dx.doi.org/10.1038/s41467-019-10310-0

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