Joint mouse–human phenome-wide association to test gene function and disease risk
Phenome-wide association is a novel method that links sequence variants to a spectrum of phenotypes and diseases. Here the authors generate detailed mouse genetic and phenome data which links their phenome-wide association study (PheWAS) of mouse to corresponding PheWAS in human.
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Nature Portfolio
2016
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oai:doaj.org-article:cfc59303336541d2b8ee796f1a6ebb5b2021-12-02T15:35:46ZJoint mouse–human phenome-wide association to test gene function and disease risk10.1038/ncomms104642041-1723https://doaj.org/article/cfc59303336541d2b8ee796f1a6ebb5b2016-02-01T00:00:00Zhttps://doi.org/10.1038/ncomms10464https://doaj.org/toc/2041-1723Phenome-wide association is a novel method that links sequence variants to a spectrum of phenotypes and diseases. Here the authors generate detailed mouse genetic and phenome data which links their phenome-wide association study (PheWAS) of mouse to corresponding PheWAS in human.Xusheng WangAshutosh K. PandeyMegan K. MulliganEvan G. WilliamsKhyobeni MozhuiZhengsheng LiVirginija JovaisaiteL. Darryl QuarlesZhousheng XiaoJinsong HuangJohn A. CapraZugen ChenWilliam L. TaylorLisa BastaracheXinnan NiuKatherine S. PollardDaniel C. CiobanuAlexander O. ReznikArtem V. TishkovIgor B. ZhulinJunmin PengStanley F. NelsonJoshua C. DennyJohan AuwerxLu LuRobert W. WilliamsNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-13 (2016) |
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spellingShingle |
Science Q Xusheng Wang Ashutosh K. Pandey Megan K. Mulligan Evan G. Williams Khyobeni Mozhui Zhengsheng Li Virginija Jovaisaite L. Darryl Quarles Zhousheng Xiao Jinsong Huang John A. Capra Zugen Chen William L. Taylor Lisa Bastarache Xinnan Niu Katherine S. Pollard Daniel C. Ciobanu Alexander O. Reznik Artem V. Tishkov Igor B. Zhulin Junmin Peng Stanley F. Nelson Joshua C. Denny Johan Auwerx Lu Lu Robert W. Williams Joint mouse–human phenome-wide association to test gene function and disease risk |
description |
Phenome-wide association is a novel method that links sequence variants to a spectrum of phenotypes and diseases. Here the authors generate detailed mouse genetic and phenome data which links their phenome-wide association study (PheWAS) of mouse to corresponding PheWAS in human. |
format |
article |
author |
Xusheng Wang Ashutosh K. Pandey Megan K. Mulligan Evan G. Williams Khyobeni Mozhui Zhengsheng Li Virginija Jovaisaite L. Darryl Quarles Zhousheng Xiao Jinsong Huang John A. Capra Zugen Chen William L. Taylor Lisa Bastarache Xinnan Niu Katherine S. Pollard Daniel C. Ciobanu Alexander O. Reznik Artem V. Tishkov Igor B. Zhulin Junmin Peng Stanley F. Nelson Joshua C. Denny Johan Auwerx Lu Lu Robert W. Williams |
author_facet |
Xusheng Wang Ashutosh K. Pandey Megan K. Mulligan Evan G. Williams Khyobeni Mozhui Zhengsheng Li Virginija Jovaisaite L. Darryl Quarles Zhousheng Xiao Jinsong Huang John A. Capra Zugen Chen William L. Taylor Lisa Bastarache Xinnan Niu Katherine S. Pollard Daniel C. Ciobanu Alexander O. Reznik Artem V. Tishkov Igor B. Zhulin Junmin Peng Stanley F. Nelson Joshua C. Denny Johan Auwerx Lu Lu Robert W. Williams |
author_sort |
Xusheng Wang |
title |
Joint mouse–human phenome-wide association to test gene function and disease risk |
title_short |
Joint mouse–human phenome-wide association to test gene function and disease risk |
title_full |
Joint mouse–human phenome-wide association to test gene function and disease risk |
title_fullStr |
Joint mouse–human phenome-wide association to test gene function and disease risk |
title_full_unstemmed |
Joint mouse–human phenome-wide association to test gene function and disease risk |
title_sort |
joint mouse–human phenome-wide association to test gene function and disease risk |
publisher |
Nature Portfolio |
publishDate |
2016 |
url |
https://doaj.org/article/cfc59303336541d2b8ee796f1a6ebb5b |
work_keys_str_mv |
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