Evidence map›Paper›PMID 33926512›Full record

ArticleGenome biology2021

The impact of cell type and context-dependent regulatory variants on human immune traits.

Zepeng Mu, Wei Wei, Benjamin Fair, Jinlin Miao, Ping Zhu, Yang I Li

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Integration ofFrontiers in immunology · 2023
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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

6 authors at 3 institutions in 3 countries.

Zepeng Mu *Committee on Genetics, Genomics & Systems Biology, University of Chicago, Chicago, IL, USA.
Wei Wei *Department of Clinical Immunology, Xijing Hospital, Xi'an, China.
Benjamin FairSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Jinlin MiaoDepartment of Clinical Immunology, Xijing Hospital, Xi'an, China.
Ping ZhuDepartment of Clinical Immunology, Xijing Hospital, Xi'an, China. zhuping@fmmu.edu.cn.
Yang I LiSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA. yangili1@uchicago.edu.ORCID 0000-0002-0736-251X
University of Chicago · USXijing Hospital · CNCenter for Translational Molecular Medicine · NL

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
Transcriptome-wide association studies for Alzheimer’s disease integrating RNA splicing and gene expression from multiple tissuesR01CA242929 · NCI · UNIVERSITY OF CHICAGO · PI GAO, GUIMIN, HUO, DEZHENG · 2019 to 2022
$1.7M
NCI NIH HHS R01 CA242929NIGMS NIH HHS R01 GM130738NIH HHS R01GM130738
6 · The paper itself

Abstract

backgroundThe vast majority of trait-associated variants identified using genome-wide association studies (GWAS) are noncoding, and therefore assumed to impact gene regulation. However, the majority of trait-associated loci are unexplained by regulatory quantitative trait loci (QTLs).

resultsWe perform a comprehensive characterization of the putative mechanisms by which GWAS loci impact human immune traits. By harmonizing four major immune QTL studies, we identify 26,271 expression QTLs (eQTLs) and 23,121 splicing QTLs (sQTLs) spanning 18 immune cell types. Our colocalization analyses between QTLs and trait-associated loci from 72 GWAS reveals that genetic effects on RNA expression and splicing in immune cells colocalize with 40.4% of GWAS loci for immune-related traits, in many cases increasing the fraction of colocalized loci by two fold compared to previous studies. Notably, we find that the largest contributors of this increase are splicing QTLs, which colocalize on average with 14% of all GWAS loci that do not colocalize with eQTLs. By contrast, we find that cell type-specific eQTLs, and eQTLs with small effect sizes contribute very few new colocalizations. To investigate the 60% of GWAS loci that remain unexplained, we collect H3K27ac CUT&Tag data from rheumatoid arthritis and healthy controls, and find large-scale differences between immune cells from the different disease contexts, including at regions overlapping unexplained GWAS loci.

conclusionAltogether, our work supports RNA splicing as an important mediator of genetic effects on immune traits, and suggests that we must expand our study of regulatory processes in disease contexts to improve functional interpretation of as yet unexplained GWAS loci.

Indexed as

Gene Expression RegulationGenetic Association StudiesGenetic VariationQuantitative Trait, HeritableQuantitative Trait LociArthritis, RheumatoidChromosome MappingDatabases, Nucleic AcidDisease SusceptibilityGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHistonesHumansImmunityImmunomodulationHistonesColocalizationeQTLGWASsQTL

Identifiers

PMID33926512
PMCPMC8082814
OpenAlexW3158320396

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.