Evidence map›Paper›PMID 38102153›Full record

ArticleNature communications2023

Immune-response 3'UTR alternative polyadenylation quantitative trait loci contribute to variation in human complex traits and diseases.

Lei Li, Xuelian Ma, Ya Cui, Maxime Rotival, Wenyan Chen, Xudong Zou, Ruofan Ding, Yangmei Qin, Qixuan Wang, Lluis Quintana-Murci and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Lei Li *Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China. lei.li@szbl.ac.cn.ORCID 0000-0003-3924-2544
Xuelian Ma *Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Ya Cui *Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA.ORCID 0000-0003-1574-0928
Maxime RotivalInstitut Pasteur, Université de Paris, CNRS UMR2000, Human Evolutionary Genetics Unit, F-75015, Paris, France.ORCID 0000-0003-2519-8044
Wenyan ChenInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Xudong ZouInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.ORCID 0000-0002-2958-0438
Ruofan DingInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Yangmei QinInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Qixuan WangInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.ORCID 0009-0007-2736-4639
Lluis Quintana-MurciInstitut Pasteur, Université de Paris, CNRS UMR2000, Human Evolutionary Genetics Unit, F-75015, Paris, France.ORCID 0000-0003-2429-6320
Wei LiDivision of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA. wei.li@uci.edu.ORCID 0000-0001-9931-5990
Shenzhen Bay Laboratory · CNCentre National de la Recherche Scientifique · FRUniversity of California, Irvine · US

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32370721
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have identified thousands of non-coding variants that are associated with human complex traits and diseases. The analysis of such GWAS variants in different contexts and physiological states is essential for deciphering the regulatory mechanisms underlying human disease. Alternative polyadenylation (APA) is a key post-transcriptional modification for most human genes that substantially impacts upon cell behavior. Here, we mapped 9,493 3'-untranslated region APA quantitative trait loci in 18 human immune baseline cell types and 8 stimulation conditions (immune 3'aQTLs). Through the comparison between baseline and stimulation data, we observed the high responsiveness of 3'aQTLs to immune stimulation (response 3'aQTLs). Co-localization and mendelian randomization analyses of immune 3'aQTLs identified 678 genes where 3'aQTL are associated with variation in complex traits, 27.3% of which were derived from response 3'aQTLs. Overall, these analyses reveal the role of immune 3'aQTLs in the determination of complex traits, providing new insights into the regulatory mechanisms underlying disease etiologies.

Indexed as

PolyadenylationQuantitative Trait Loci3' Untranslated RegionsGenome-Wide Association StudyHumansMultifactorial Inheritance3' Untranslated Regions

Identifiers

PMID38102153
PMCPMC10724249
OpenAlexW4389787960

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.