Published June 25, 2020 | Version v1
Journal article Open

Alternative polyadenylation mediates genetic regulation of gene expression

Description

Little is known about co-transcriptional or post-transcriptional regulatory mechanisms linking noncoding variation to variation in organismal traits. To begin addressing this gap, we used 3' Seq to study the impact of genetic variation on alternative polyadenylation (APA) in the nuclear and total mRNA fractions of 52 HapMap Yoruba human lymphoblastoid cell lines. We mapped 602 APA quantitative trait loci (apaQTLs) at 10% FDR, of which 152 were nuclear specific. Effect sizes at intronic apaQTLs are negatively correlated with eQTL effect sizes. These observations suggest genetic variants can decrease mRNA expression levels by increasing usage of intronic PAS. We also identified 24 apaQTLs associated with protein levels, but not mRNA expression. Finally, we found that 19% of apaQTLs can be associated with disease. Thus, our work demonstrates that APA links genetic variation to variation in gene expression, protein expression, and disease risk, and reveals uncharted modes of genetic regulation.

Data availability

Fastq files and PAS annotations are available at GEO under accession GSE138197. All reproducible scripts and software versions can be found at through Zenodo with https://doi.org/10.5281/zenodo.3905372.

The following data sets were generated:

Mittleman BE Pott S Warland SF Zheng T Mu Z Kaur M Gilad Y Li YI (2020) NCBI Gene Expression Omnibus ID GSE138197. Alternative polyadenylation mediates genetic regulation of gene expression. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE138197

Mittleman BE Pott S Warland SF Zheng T Mu Z Kaur M Gilad Y Li YI (2020) Zenodo Alternative polyadenylation mediates genetic regulation of gene expression. https://doi.org/10.5281/zenodo.3905372

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Additional details

Identifiers

DOI
10.7554/eLife.57492
Other
oai:uchicago.tind.io:9922

Funding

National Institutes of Health
T32 GM09197
National Institutes of Health
F31HL149259
National Institutes of Health
R01GM130738
National Institutes of Health
K12 HL119995

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Genetics, Genomics, and Systems Biology, Human Genetics, Medicine