Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Phenotypic variation and diseases are influenced by factors such as genetic variants and gene expression. Here, Barbeira et al. develop S-PrediXcan to compute PrediXcan results using summary data, and investigate the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >...

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Main Authors: Alvaro N. Barbeira, Scott P. Dickinson, Rodrigo Bonazzola, Jiamao Zheng, Heather E. Wheeler, Jason M. Torres, Eric S. Torstenson, Kaanan P. Shah, Tzintzuni Garcia, Todd L. Edwards, Eli A. Stahl, Laura M. Huckins, GTEx Consortium, Dan L. Nicolae, Nancy J. Cox, Hae Kyung Im
Format: Article
Language:English
Published: Nature Portfolio 2018-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-03621-1
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author Alvaro N. Barbeira
Scott P. Dickinson
Rodrigo Bonazzola
Jiamao Zheng
Heather E. Wheeler
Jason M. Torres
Eric S. Torstenson
Kaanan P. Shah
Tzintzuni Garcia
Todd L. Edwards
Eli A. Stahl
Laura M. Huckins
GTEx Consortium
Dan L. Nicolae
Nancy J. Cox
Hae Kyung Im
author_facet Alvaro N. Barbeira
Scott P. Dickinson
Rodrigo Bonazzola
Jiamao Zheng
Heather E. Wheeler
Jason M. Torres
Eric S. Torstenson
Kaanan P. Shah
Tzintzuni Garcia
Todd L. Edwards
Eli A. Stahl
Laura M. Huckins
GTEx Consortium
Dan L. Nicolae
Nancy J. Cox
Hae Kyung Im
author_sort Alvaro N. Barbeira
collection DOAJ
description Phenotypic variation and diseases are influenced by factors such as genetic variants and gene expression. Here, Barbeira et al. develop S-PrediXcan to compute PrediXcan results using summary data, and investigate the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >100 phenotypes.
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spelling doaj.art-74f1758878ad410698934b8de48e83e12022-12-21T19:27:49ZengNature PortfolioNature Communications2041-17232018-05-019112010.1038/s41467-018-03621-1Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statisticsAlvaro N. Barbeira0Scott P. Dickinson1Rodrigo Bonazzola2Jiamao Zheng3Heather E. Wheeler4Jason M. Torres5Eric S. Torstenson6Kaanan P. Shah7Tzintzuni Garcia8Todd L. Edwards9Eli A. Stahl10Laura M. Huckins11GTEx ConsortiumDan L. Nicolae12Nancy J. Cox13Hae Kyung Im14Section of Genetic Medicine, The University of ChicagoSection of Genetic Medicine, The University of ChicagoSection of Genetic Medicine, The University of ChicagoSection of Genetic Medicine, The University of ChicagoDepartment of Biology, Loyola University ChicagoCommittee on Molecular Metabolism and Nutrition, The University of ChicagoVanderbilt Genetic Institute, Vanderbilt University Medical CenterSection of Genetic Medicine, The University of ChicagoCenter for Research Informatics, The University of ChicagoDivision of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical CenterDivision of Psychiatric Genomics, Icahn School of Medicine at Mount SinaiDivision of Psychiatric Genomics, Icahn School of Medicine at Mount SinaiSection of Genetic Medicine, The University of ChicagoVanderbilt Genetic Institute, Vanderbilt University Medical CenterSection of Genetic Medicine, The University of ChicagoPhenotypic variation and diseases are influenced by factors such as genetic variants and gene expression. Here, Barbeira et al. develop S-PrediXcan to compute PrediXcan results using summary data, and investigate the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >100 phenotypes.https://doi.org/10.1038/s41467-018-03621-1
spellingShingle Alvaro N. Barbeira
Scott P. Dickinson
Rodrigo Bonazzola
Jiamao Zheng
Heather E. Wheeler
Jason M. Torres
Eric S. Torstenson
Kaanan P. Shah
Tzintzuni Garcia
Todd L. Edwards
Eli A. Stahl
Laura M. Huckins
GTEx Consortium
Dan L. Nicolae
Nancy J. Cox
Hae Kyung Im
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
Nature Communications
title Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
title_full Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
title_fullStr Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
title_full_unstemmed Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
title_short Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
title_sort exploring the phenotypic consequences of tissue specific gene expression variation inferred from gwas summary statistics
url https://doi.org/10.1038/s41467-018-03621-1
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