Published February 8, 2021 | Version v1
Journal article Open

Dynamic effects of genetic variation on gene expression revealed following hypoxic stress in cardiomyocytes

Description

One life-threatening outcome of cardiovascular disease is myocardial infarction, where cardiomyocytes are deprived of oxygen. To study inter-individual differences in response to hypoxia, we established an in vitro model of induced pluripotent stem cell-derived cardiomyocytes from 15 individuals. We measured gene expression levels, chromatin accessibility, and methylation levels in four culturing conditions that correspond to normoxia, hypoxia, and short- or long-term re-oxygenation. We characterized thousands of gene regulatory changes as the cells transition between conditions. Using available genotypes, we identified 1,573 genes with a cis expression quantitative locus (eQTL) in at least one condition, as well as 367 dynamic eQTLs, which are classified as eQTLs in at least one, but not in all conditions. A subset of genes with dynamic eQTLs is associated with complex traits and disease. Our data demonstrate how dynamic genetic effects on gene expression, which are likely relevant for disease, can be uncovered under stress.

Data availability

The following data sets were generated:

Ward MC Banovich NE Sarkar A Stephens M Gilad Y (2021) NCBI Gene Expression Omnibus ID GSE144426. Dynamic effects of genetic variation on gene expression revealed following hypoxic stress in cardiomyocytes. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE144426

The following previously published data sets were used:

GTEx Consortium (2020) GTEx portal V8 release ID V8. GTEx eQTLs. https://www.gtexportal.org/home/

ENCODE Consortium (2012) ENCODE ID ENCBS684IAD. Histone ChIP-seq. https://www.encodeproject.org

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Additional details

Identifiers

DOI
10.7554/eLife.57345
Other
oai:uchicago.tind.io:5687

Funding

National Heart, Lung, and Blood Institute
HL092206
EMBO
Long-Term Fellowship
National Institute on Aging
F31 AG044948

UChicago Information

Division(s)
Biological Sciences Division, Physical Sciences Division
Department(s)
Human Genetics, Medicine, Statistics