Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics-Reference-Cited by-同舟云学术

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

Published:2018-05-08 Issue:1 Volume:9 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Barbeira Alvaro N.^ORCID, ,Dickinson Scott P.,Bonazzola Rodrigo,Zheng Jiamao,Wheeler Heather E.^ORCID,Torres Jason M.,Torstenson Eric S.,Shah Kaanan P.,Garcia Tzintzuni,Edwards Todd L.^ORCID,Stahl Eli A.,Huckins Laura M.,Nicolae Dan L.,Cox Nancy J.,Im Hae Kyung^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Link

http://www.nature.com/articles/s41467-018-03621-1.pdf

Reference47 articles.

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2. Nicolae, D. L. et al. Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS. PLOS Genet. 6, e1000888, (2010).

3. Li, Y. I. et al. RNA splicing is a primary link between genetic variation and disease. Science 352, 600–604 (2016).

4. Gusev, A. et al. Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases. Am. J. Hum. Genet. 95, 535–552 (2014).

5. Battle, A. et al. Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals. Genome Res. 24, 14–24 (2014).

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