Evidence map›Paper›PMID 32584258›Full record

ArticleeLife2020

Alternative polyadenylation mediates genetic regulation of gene expression.

Briana E Mittleman, Sebastian Pott, Shane Warland, Tony Zeng, Zepeng Mu, Mayher Kaur, Yoav Gilad, Yang Li

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 80 citations in OpenAlex.

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  12. mRNA Isoforms and Variants in Health and Disease.International journal of molecular sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

Briana E MittlemanGenetics, Genomics, and Systems Biology, University of Chicago, Chicago, United States.ORCID 0000-0002-4979-4652
Sebastian PottDepartment of Human Genetics, University of Chicago, Chicago, United States.ORCID 0000-0002-4118-6150
Shane WarlandSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, United States.
Tony ZengSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, United States.
Zepeng MuGenetics, Genomics, and Systems Biology, University of Chicago, Chicago, United States.ORCID 0000-0002-7717-3247
Mayher KaurSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, United States.
Yoav GiladDepartment of Human Genetics, University of Chicago, Chicago, United States.ORCID 0000-0001-8284-8926
Yang LiDepartment of Human Genetics, University of Chicago, Chicago, United States.ORCID 0000-0002-0736-251X
University of Chicago · US

Funding

Investigating the co-transcriptional impact of genetic variation on gene regulation and diseaseR01GM130738 · NIGMS · UNIVERSITY OF CHICAGO · PI LI, YANG · 2019 to 2023
$2.2M
Training of Junior Faculty for Careers in Omics of Lung DiseasesK12HL119995 · NHLBI · UNIVERSITY OF CHICAGO · PI GOZAL, DAVID, GROSSMAN, ROBERT L. · 2013 to 2017
$1.3M
Mapping alternative polyadenylation QTLs in induced pluripotent stem cell derived cardiomyocytesF31HL149259 · NHLBI · UNIVERSITY OF CHICAGO · PI MITTLEMAN, BRIANA ERIN · 2019 to 2019
$45k
NHLBI NIH HHS F31 HL149259NHLBI NIH HHS K12 HL119995NIGMS NIH HHS R01 GM130738NIH HHS K12 HL119995NIH HHS T32 GM09197
6 · The paper itself

Abstract

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.

Indexed as

Gene Expression RegulationCell LineHumansPolyadenylationalternative polyadenylationapaQTLeQTLgene regulationgeneticsgenomicshumanpQTL

Identifiers

PMID32584258
PMCPMC7338057
OpenAlexW3037818048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.