Widespread dose-dependent effects of RNA expression and splicing on complex diseases and traits
By A. Barbeira, Rodrigo Bonazzola, E. Gamazon, Yanyu Liang, YoSon Park, Sarah Kim-Hellmuth, Gao Wang, Zhuoxun Jiang, Dan Zhou, Farhad Hormozdiari and 18 more. bioRxiv, 2019
116 citations recorded by the source corpus.
The resources generated by the GTEx consortium offer unprecedented opportunities to advance our understanding of the biology of human traits and diseases. Here, we present an in-depth examination of the phenotypic consequences of transcriptome regulation and a blueprint for the functional interpretation of genetic loci discovered by genome-wide association studies (GWAS). Across a broad set of complex traits and diseases, we find widespread dose-dependent effects of RNA expression and splicing, with higher impact on molecular phenotypes translating into higher impact downstream. Using colocalization and association approaches that take into account the observed allelic heterogeneity, we propose potential target genes for 47% (2,519 out of 5,385) of the GWAS loci examined. Our results demonstrate the translational relevance of the GTEx resources and highlight the need to increase their resolution and breadth to further our understanding of the genotype-phenotype link.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/1243ff76b09ff217f171c819316bc058c15cee96
How researchers see this paper
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In Genetics
- Xiaoquan Wen
- Gao Wang
- Yuxin Zou
- Farhad Hormozdiari
- Stephen B. Montgomery
- Matthew Stephens
- Roderic Guigó
- Daniel G. MacArthur
In Molecular Biology
- Stephen B. Montgomery
- Xiaoquan Wen
- Gao Wang
- Matthew Stephens
- Roderic Guigó
- Daniel G. MacArthur
- Barbara E. Engelhardt
- Gad Getz
Citations in the corpus
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (2019, methodology): “(B) Number of GWAS loci linked to e/sGenes through colocalization (ENLOC) and association (PrediXcan), aggregated across tissues.”