Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traits.


Journal

Genetic epidemiology
ISSN: 1098-2272
Titre abrégé: Genet Epidemiol
Pays: United States
ID NLM: 8411723

Informations de publication

Date de publication:
09 2019
Historique:
received: 13 11 2018
revised: 15 02 2019
accepted: 18 03 2019
pubmed: 6 4 2019
medline: 15 11 2019
entrez: 6 4 2019
Statut: ppublish

Résumé

Regulation of gene expression is an important mechanism through which genetic variation can affect complex traits. A substantial portion of gene expression variation can be explained by both local (cis) and distal (trans) genetic variation. Much progress has been made in uncovering cis-acting expression quantitative trait loci (cis-eQTL), but trans-eQTL have been more difficult to identify and replicate. Here we take advantage of our ability to predict the cis component of gene expression coupled with gene mapping methods such as PrediXcan to identify high confidence candidate trans-acting genes and their targets. That is, we correlate the cis component of gene expression with observed expression of genes in different chromosomes. Leveraging the shared cis-acting regulation across tissues, we combine the evidence of association across all available Genotype-Tissue Expression Project tissues and find 2,356 trans-acting/target gene pairs with high mappability scores. Reassuringly, trans-acting genes are enriched in transcription and nucleic acid binding pathways and target genes are enriched in known transcription factor binding sites. Interestingly, trans-acting genes are more significantly associated with selected complex traits and diseases than target or background genes, consistent with percolating trans effects. Our scripts and summary statistics are publicly available for future studies of trans-acting gene regulation.

Identifiants

pubmed: 30950127
doi: 10.1002/gepi.22205
pmc: PMC6687523
mid: NIHMS1020131
doi:

Substances chimiques

Trans-Activators 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

596-608

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH107666
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH109905
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30DK20595
Pays : United States
Organisme : NHGRI NIH HHS
ID : R15 HG009569
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK020595
Pays : United States

Informations de copyright

© 2019 The Authors. Genetic Epidemiology Published by Wiley Periodicals, Inc.

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Auteurs

Heather E Wheeler (HE)

Department of Biology, Loyola University Chicago, Chicago, Illinois.
Department of Computer Science, Loyola University Chicago, Chicago, Illinois.
Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois.

Sally Ploch (S)

Department of Biology, Loyola University Chicago, Chicago, Illinois.

Alvaro N Barbeira (AN)

Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois.

Rodrigo Bonazzola (R)

Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois.

Angela Andaleon (A)

Department of Biology, Loyola University Chicago, Chicago, Illinois.

Alireza Fotuhi Siahpirani (A)

Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin.

Ashis Saha (A)

Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.

Alexis Battle (A)

Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.

Sushmita Roy (S)

Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin.

Hae Kyung Im (HK)

Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois.

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