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.

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e81f038c77814a4e89212eabbff80ce4
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spelling	oai:doaj.org-article:e81f038c77814a4e89212eabbff80ce42021-12-02T16:57:21ZBivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation10.1038/s41467-019-10310-02041-1723https://doaj.org/article/e81f038c77814a4e89212eabbff80ce42019-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10310-0https://doaj.org/toc/2041-1723To 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.Oleksandr FreiDominic HollandOlav B. SmelandAlexey A. ShadrinChun Chieh FanSteffen MaelandKevin S. O’ConnellYunpeng WangSrdjan DjurovicWesley K. ThompsonOle A. AndreassenAnders M. DaleNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
description	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.
format	article
author	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
author_facet	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
author_sort	Oleksandr Frei
title	Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
title_short	Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
title_full	Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
title_fullStr	Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
title_full_unstemmed	Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
title_sort	bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/e81f038c77814a4e89212eabbff80ce4
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Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation

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