Multi-trait analysis of rare-variant association summary statistics using MTAR

Methods to integrate association evidence across multiple traits often focus on individual common variants GWAS. Here the authors present multi-trait analysis of rare-variant associations (MTAR), a framework for joint analysis of association summary statistics between multiple rare variants and diff...

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Autores principales:	Lan Luo, Judong Shen, Hong Zhang, Aparna Chhibber, Devan V. Mehrotra, Zheng-Zheng Tang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0eedf18d465e45ccb8fe286aa610a2ce
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id	oai:doaj.org-article:0eedf18d465e45ccb8fe286aa610a2ce
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spelling	oai:doaj.org-article:0eedf18d465e45ccb8fe286aa610a2ce2021-12-02T17:51:04ZMulti-trait analysis of rare-variant association summary statistics using MTAR10.1038/s41467-020-16591-02041-1723https://doaj.org/article/0eedf18d465e45ccb8fe286aa610a2ce2020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16591-0https://doaj.org/toc/2041-1723Methods to integrate association evidence across multiple traits often focus on individual common variants GWAS. Here the authors present multi-trait analysis of rare-variant associations (MTAR), a framework for joint analysis of association summary statistics between multiple rare variants and different traits.Lan LuoJudong ShenHong ZhangAparna ChhibberDevan V. MehrotraZheng-Zheng TangNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Lan Luo Judong Shen Hong Zhang Aparna Chhibber Devan V. Mehrotra Zheng-Zheng Tang Multi-trait analysis of rare-variant association summary statistics using MTAR
description	Methods to integrate association evidence across multiple traits often focus on individual common variants GWAS. Here the authors present multi-trait analysis of rare-variant associations (MTAR), a framework for joint analysis of association summary statistics between multiple rare variants and different traits.
format	article
author	Lan Luo Judong Shen Hong Zhang Aparna Chhibber Devan V. Mehrotra Zheng-Zheng Tang
author_facet	Lan Luo Judong Shen Hong Zhang Aparna Chhibber Devan V. Mehrotra Zheng-Zheng Tang
author_sort	Lan Luo
title	Multi-trait analysis of rare-variant association summary statistics using MTAR
title_short	Multi-trait analysis of rare-variant association summary statistics using MTAR
title_full	Multi-trait analysis of rare-variant association summary statistics using MTAR
title_fullStr	Multi-trait analysis of rare-variant association summary statistics using MTAR
title_full_unstemmed	Multi-trait analysis of rare-variant association summary statistics using MTAR
title_sort	multi-trait analysis of rare-variant association summary statistics using mtar
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/0eedf18d465e45ccb8fe286aa610a2ce
work_keys_str_mv	AT lanluo multitraitanalysisofrarevariantassociationsummarystatisticsusingmtar AT judongshen multitraitanalysisofrarevariantassociationsummarystatisticsusingmtar AT hongzhang multitraitanalysisofrarevariantassociationsummarystatisticsusingmtar AT aparnachhibber multitraitanalysisofrarevariantassociationsummarystatisticsusingmtar AT devanvmehrotra multitraitanalysisofrarevariantassociationsummarystatisticsusingmtar AT zhengzhengtang multitraitanalysisofrarevariantassociationsummarystatisticsusingmtar
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Multi-trait analysis of rare-variant association summary statistics using MTAR

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