A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction

Methods for eQTL mapping from total and allele-specific gene expression typically are too computationally heavy to apply to large scale studies. Here, the authors describe a computationally efficient method to identify eQTLs, fine-map and predict expression from total and allele-specific gene expres...

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Autores principales:	Yanyu Liang, François Aguet, Alvaro N. Barbeira, Kristin Ardlie, Hae Kyung Im
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/851a2e4e25024f928fc9e3810b60b5e9
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spelling	oai:doaj.org-article:851a2e4e25024f928fc9e3810b60b5e92021-12-02T13:14:59ZA scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction10.1038/s41467-021-21592-82041-1723https://doaj.org/article/851a2e4e25024f928fc9e3810b60b5e92021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21592-8https://doaj.org/toc/2041-1723Methods for eQTL mapping from total and allele-specific gene expression typically are too computationally heavy to apply to large scale studies. Here, the authors describe a computationally efficient method to identify eQTLs, fine-map and predict expression from total and allele-specific gene expressionYanyu LiangFrançois AguetAlvaro N. BarbeiraKristin ArdlieHae Kyung ImNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yanyu Liang François Aguet Alvaro N. Barbeira Kristin Ardlie Hae Kyung Im A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
description	Methods for eQTL mapping from total and allele-specific gene expression typically are too computationally heavy to apply to large scale studies. Here, the authors describe a computationally efficient method to identify eQTLs, fine-map and predict expression from total and allele-specific gene expression
format	article
author	Yanyu Liang François Aguet Alvaro N. Barbeira Kristin Ardlie Hae Kyung Im
author_facet	Yanyu Liang François Aguet Alvaro N. Barbeira Kristin Ardlie Hae Kyung Im
author_sort	Yanyu Liang
title	A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
title_short	A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
title_full	A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
title_fullStr	A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
title_full_unstemmed	A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
title_sort	scalable unified framework of total and allele-specific counts for cis-qtl, fine-mapping, and prediction
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/851a2e4e25024f928fc9e3810b60b5e9
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A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction

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