Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric disea...

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Autores principales:	Robert M. Maier, Zhihong Zhu, Sang Hong Lee, Maciej Trzaskowski, Douglas M. Ruderfer, Eli A. Stahl, Stephan Ripke, Naomi R. Wray, Jian Yang, Peter M. Visscher, Matthew R. Robinson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e824d72f5f234577ab684601d5afb26b
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spelling	oai:doaj.org-article:e824d72f5f234577ab684601d5afb26b2021-12-02T14:40:07ZImproving genetic prediction by leveraging genetic correlations among human diseases and traits10.1038/s41467-017-02769-62041-1723https://doaj.org/article/e824d72f5f234577ab684601d5afb26b2018-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02769-6https://doaj.org/toc/2041-1723Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric diseases.Robert M. MaierZhihong ZhuSang Hong LeeMaciej TrzaskowskiDouglas M. RuderferEli A. StahlStephan RipkeNaomi R. WrayJian YangPeter M. VisscherMatthew R. RobinsonNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-17 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Robert M. Maier Zhihong Zhu Sang Hong Lee Maciej Trzaskowski Douglas M. Ruderfer Eli A. Stahl Stephan Ripke Naomi R. Wray Jian Yang Peter M. Visscher Matthew R. Robinson Improving genetic prediction by leveraging genetic correlations among human diseases and traits
description	Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric diseases.
format	article
author	Robert M. Maier Zhihong Zhu Sang Hong Lee Maciej Trzaskowski Douglas M. Ruderfer Eli A. Stahl Stephan Ripke Naomi R. Wray Jian Yang Peter M. Visscher Matthew R. Robinson
author_facet	Robert M. Maier Zhihong Zhu Sang Hong Lee Maciej Trzaskowski Douglas M. Ruderfer Eli A. Stahl Stephan Ripke Naomi R. Wray Jian Yang Peter M. Visscher Matthew R. Robinson
author_sort	Robert M. Maier
title	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_short	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_full	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_fullStr	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_full_unstemmed	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_sort	improving genetic prediction by leveraging genetic correlations among human diseases and traits
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/e824d72f5f234577ab684601d5afb26b
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Improving genetic prediction by leveraging genetic correlations among human diseases and traits

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