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

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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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Science
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Acceso en línea:https://doaj.org/article/74f1758878ad410698934b8de48e83e1
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Sumario: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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