Evidence map›Paper›PMID 35100260›Full record

ArticlePLoS genetics2022

Transcription factor regulation of eQTL activity across individuals and tissues.

Elise D Flynn, Athena L Tsu, Silva Kasela, Sarah Kim-Hellmuth, Francois Aguet, Kristin G Ardlie, Harmen J Bussemaker, Pejman Mohammadi, Tuuli Lappalainen

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 47 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

9 authors at 5 institutions in 3 countries.

Elise D FlynnDepartment of Systems Biology, Columbia University, New York, New York, United States of America.ORCID 0000-0003-0221-8196
Athena L TsuNew York Genome Center, New York, New York, United States of America.ORCID 0000-0002-7332-0908
Silva KaselaDepartment of Systems Biology, Columbia University, New York, New York, United States of America.
Sarah Kim-HellmuthDepartment of Systems Biology, Columbia University, New York, New York, United States of America.ORCID 0000-0001-8791-5729
Francois AguetThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.ORCID 0000-0001-9414-300X
Kristin G ArdlieThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.ORCID 0000-0003-4272-6283
Harmen J BussemakerDepartment of Systems Biology, Columbia University, New York, New York, United States of America.ORCID 0000-0002-7274-5277
Pejman MohammadiDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, United States of America.
Tuuli LappalainenDepartment of Systems Biology, Columbia University, New York, New York, United States of America.ORCID 0000-0002-7746-8109
New York Genome Center · USBroad Institute · USColumbia University · USLMU Klinikum · DEScripps Research Institute · US

Funding

Scripps Translational Science InstituteUL1TR002550 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2018 to 2022
$28.9M
TRAINING IN CELLULAR, MOLECULAR AND BIOPHYSICAL STUDIEST32GM008224 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIEM, RONALD K. · 1987 to 2021
$9.9M
Inferring regulatory circuitry from microarray dataR01HG003008 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BUSSEMAKER, HARMEN J · 2004 to 2020
$7.0M
A portal and integrative collaborative analysis platform for GTExU41HG009494 · NHGRI · BROAD INSTITUTE, INC. · PI ARDLIE, KRISTIN, GETZ, GAD A · 2017 to 2021
$5.2M
Statistical models for fine-mapping and interpretation of schizophrenia-associated lociR01MH106842 · NIMH · NEW YORK GENOME CENTER · PI BUSSEMAKER, HARMEN J, LAPPALAINEN, TUULI · 2015 to 2024
$5.0M
Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populationsR01GM140287 · NIGMS · SEATTLE CHILDREN'S HOSPITAL · PI GAMAZON, ERIC R, MOHAMMADI, PEJMAN · 2021 to 2024
$2.8M
Integration of omics data to improve interpretation of genetic risk variants in lung diseaseR01HL142028 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARR, R GRAHAM, LAPPALAINEN, TUULI · 2018 to 2019
$790k
Investigating the role of transcription factors in the context variability of genetic variant effectsF31HG010580 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FLYNN, ELISE DUBOSCQ · 2020 to 2021
$83k
NCATS NIH HHS UL1 TR002550NHGRI NIH HHS F31 HG010580NHGRI NIH HHS R01 HG003008NHGRI NIH HHS U41 HG009494NHLBI NIH HHS HHSN268201000029CNHLBI NIH HHS R01 HL142028NIGMS NIH HHS R01 GM140287NIGMS NIH HHS T32 GM008224NIMH NIH HHS R01 MH106842
6 · The paper itself

Abstract

Tens of thousands of genetic variants associated with gene expression (cis-eQTLs) have been discovered in the human population. These eQTLs are active in various tissues and contexts, but the molecular mechanisms of eQTL variability are poorly understood, hindering our understanding of genetic regulation across biological contexts. Since many eQTLs are believed to act by altering transcription factor (TF) binding affinity, we hypothesized that analyzing eQTL effect size as a function of TF level may allow discovery of mechanisms of eQTL variability. Using GTEx Consortium eQTL data from 49 tissues, we analyzed the interaction between eQTL effect size and TF level across tissues and across individuals within specific tissues and generated a list of 10,098 TF-eQTL interactions across 2,136 genes that are supported by at least two lines of evidence. These TF-eQTLs were enriched for various TF binding measures, supporting with orthogonal evidence that these eQTLs are regulated by the implicated TFs. We also found that our TF-eQTLs tend to overlap genes with gene-by-environment regulatory effects and to colocalize with GWAS loci, implying that our approach can help to elucidate mechanisms of context-specificity and trait associations. Finally, we highlight an interesting example of IKZF1 TF regulation of an APBB1IP gene eQTL that colocalizes with a GWAS signal for blood cell traits. Together, our findings provide candidate TF mechanisms for a large number of eQTLs and offer a generalizable approach for researchers to discover TF regulators of genetic variant effects in additional QTL datasets.

Indexed as

Quantitative Trait LociAllelesBinding SitesGene-Environment InteractionGene Knockdown TechniquesGenome-Wide Association StudyHumansInterferon Regulatory Factor-1Models, GeneticPhenotypeTranscription FactorsInterferon Regulatory Factor-1IRF1 protein, humanTranscription Factors

Identifiers

PMID35100260
PMCPMC8830792
OpenAlexW4225777909

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.