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  Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Barbeira, A. N., Bonazzola, R., Gamazon, E. R., Liang, Y., Park, Y., Kim-Hellmuth, S., et al. (2021). Exploiting the GTEx resources to decipher the mechanisms at GWAS loci. GENOME BIOLOGY, 22(1): 49. doi:10.1186/s13059-020-02252-4.

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Barbeira, Alvaro N., Author
Bonazzola, Rodrigo, Author
Gamazon, Eric R., Author
Liang, Yanyu, Author
Park, YoSon, Author
Kim-Hellmuth, Sarah1, Author           
Wang, Gao, Author
Jiang, Zhuoxun, Author
Zhou, Dan, Author
Hormozdiari, Farhad, Author
Liu, Boxiang, Author
Rao, Abhiram, Author
Hamel, Andrew R., Author
Pividori, Milton D., Author
Aguet, Francois, Author
Bastarache, Lisa, Author
Jordan, Daniel M., Author
Verbanck, Marie, Author
Do, Ron, Author
Stephens, Matthew, Author
Ardlie, Kristin, AuthorMcCarthy, Mark, AuthorMontgomery, Stephen B., AuthorSegre, Ayellet V., AuthorBrown, Christopher D., AuthorLappalainen, Tuuli, AuthorWen, Xiaoquan, AuthorIm, Hae Kyung, Author more..
Affiliations:
1RG Statistical Genetics, Max Planck Institute of Psychiatry, Max Planck Society, ou_2040288              

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 Abstract: The resources generated by the GTEx consortium offer unprecedented opportunities to advance our understanding of the biology of human diseases. Here, we present an in-depth examination of the phenotypic consequences of transcriptome regulation and a blueprint for the functional interpretation of genome-wide association study-discovered loci. Across a broad set of complex traits and diseases, we demonstrate widespread dose-dependent effects of RNA expression and splicing. We develop a data-driven framework to benchmark methods that prioritize causal genes and find no single approach outperforms the combination of multiple approaches. Using colocalization and association approaches that take into account the observed allelic heterogeneity of gene expression, we propose potential target genes for 47% (2519 out of 5385) of the GWAS loci examined.

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 Dates: 2021
 Publication Status: Published online
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Title: GENOME BIOLOGY
Source Genre: Journal
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Pages: - Volume / Issue: 22 (1) Sequence Number: 49 Start / End Page: - Identifier: ISSN: 1474-760X