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 >...
Main Authors: | , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2018-05-01
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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. |
first_indexed | 2024-12-20T20:11:48Z |
format | Article |
id | doaj.art-74f1758878ad410698934b8de48e83e1 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-12-20T20:11:48Z |
publishDate | 2018-05-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
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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