Evidence map›Paper›PMID 31123039›Full record

ArticleGenetics2019

Comprehensive Multiple eQTL Detection and Its Application to GWAS Interpretation.

Biao Zeng, Luke R Lloyd-Jones, Grant W Montgomery, Andres Metspalu, Tonu Esko, Lude Franke, Urmo Vosa, Annique Claringbould, Kenneth L Brigham, Arshed A Quyyumi and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  16. Where Are the Disease-Associated eQTLs?Trends in genetics : TIG · 2021
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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

15 authors at 6 institutions in 4 countries.

Biao ZengSchool of Biological Sciences and Center for Integrative Genomics, Georgia Institute of Technology, Atlanta, Georgia 30332.
Luke R Lloyd-JonesInstitute for Molecular Biosciences, University of Queensland, Brisbane, QLD 4072, Australia.
Grant W MontgomeryInstitute for Molecular Biosciences, University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-4140-8139
Andres MetspaluEstonian Genome Center, University of Tartu, 51010, Estonia.
Tonu EskoEstonian Genome Center, University of Tartu, 51010, Estonia.
Lude FrankeUniversity Medical Center, Rijksuniversiteit, 9700 RB Groningen, The Netherlands.
Urmo VosaUniversity Medical Center, Rijksuniversiteit, 9700 RB Groningen, The Netherlands.
Annique ClaringbouldUniversity Medical Center, Rijksuniversiteit, 9700 RB Groningen, The Netherlands.
Kenneth L BrighamDepartment of Medicine (Emeritus), Emory University, Atlanta, Georgia 30322.
Arshed A QuyyumiDepartment of Medicine, Division of Cardiology, Emory University, Atlanta, Georgia 30322.
Youssef IdaghdourBiology Program, New York University Abu Dhabi, PO Box 129188, United Arab Emirates.
Jian YangInstitute for Molecular Biosciences, University of Queensland, Brisbane, QLD 4072, Australia.
Peter M VisscherInstitute for Molecular Biosciences, University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-2143-8760
Joseph E PowellInstitute for Molecular Biosciences, University of Queensland, Brisbane, QLD 4072, Australia.
Greg GibsonSchool of Biological Sciences and Center for Integrative Genomics, Georgia Institute of Technology, Atlanta, Georgia 30332 greg.gibson@biology.gatech.edu.ORCID 0000-0002-5352-5877
University of Queensland · AUEmory University · USGeorgia Institute of Technology · USEstonian Biocentre · EENew York University Abu Dhabi · AEUniversity of Tartu · EE

Funding

eQTL mega-analysis for functional assessment of multi-enhancer gene regulationR01HG008146 · NHGRI · GEORGIA INSTITUTE OF TECHNOLOGY · PI GIBSON, GREGORY C · 2016 to 2018
$2.3M
New computational, transcriptional, and genome editing approaches to the biology of inflammatory bowel diseaseR01DK119991 · NIDDK · GEORGIA INSTITUTE OF TECHNOLOGY · PI GIBSON, GREGORY C · 2018 to 2021
$692k
NHGRI NIH HHS R01 HG008146NIDDK NIH HHS R01 DK119991
6 · The paper itself

Abstract

Expression QTL (eQTL) detection has emerged as an important tool for unraveling the relationship between genetic risk factors and disease or clinical phenotypes. Most studies are predicated on the assumption that only a single causal variant explains the association signal in each interval. This greatly simplifies the statistical modeling, but is liable to biases in scenarios where multiple local causal-variants are responsible. Here, our primary goal was to address the prevalence of secondary

Indexed as

Quantitative Trait LociAlgorithmsGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumMultifactorial Inheritancecolocalizationconditional associationfine mappinggene regulationlinkage disequilibriumPolyQTL

Identifiers

PMID31123039
PMCPMC6614888
OpenAlexW2945986103

What OpenQuestion holds

Textmetadata
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.