Evidence map›Paper›PMID 30950127›Full record

ArticleGenetic epidemiology2019

Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traits.

Heather E Wheeler, Sally Ploch, Alvaro N Barbeira, Rodrigo Bonazzola, Angela Andaleon, Alireza Fotuhi Siahpirani, Ashis Saha, Alexis Battle, Sushmita Roy, Hae Kyung Im

Open access · hybridAbstract read
In one paragraph

Article in Genetic epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

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  2. bioRxiv : the preprint server for biology · 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

10 authors at 4 institutions in 1 country.

Heather E WheelerDepartment of Biology, Loyola University Chicago, Chicago, Illinois.ORCID 0000-0003-1365-9667
Sally PlochDepartment of Biology, Loyola University Chicago, Chicago, Illinois.
Alvaro N BarbeiraSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois.
Rodrigo BonazzolaSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois.
Angela AndaleonDepartment of Biology, Loyola University Chicago, Chicago, Illinois.
Alireza Fotuhi SiahpiraniDepartment of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin.
Ashis SahaDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland.
Alexis BattleDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland.
Sushmita RoyDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin.
Hae Kyung ImSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois.
Loyola University Chicago · USUniversity of Chicago · USJohns Hopkins University · USUniversity of Wisconsin–Madison · US

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
Predicted Gene Expression: High Power, Mechanism, and Direction of EffectR01MH107666 · NIMH · UNIVERSITY OF CHICAGO · PI IM, HAE KYUNG · 2015 to 2017
$1.3M
Predicting gene regulation across populations to understand mechanisms underlying complex traitsR15HG009569 · NHGRI · LOYOLA UNIVERSITY OF CHICAGO · PI WHEELER, HEATHER ELIZABETH · 2017 to 2023
$1.3M
3/3 Building integrative CNS networks for genomic analysis of autismR01MH109905 · NIMH · JOHNS HOPKINS UNIVERSITY · PI BATTLE, ALEXIS · 2016 to 2020
$1.2M
NHGRI NIH HHS R15 HG009569NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P30DK20595NIMH NIH HHS R01 MH107666NIMH NIH HHS R01 MH109905
6 · The paper itself

Abstract

Regulation of gene expression is an important mechanism through which genetic variation can affect complex traits. A substantial portion of gene expression variation can be explained by both local (cis) and distal (trans) genetic variation. Much progress has been made in uncovering cis-acting expression quantitative trait loci (cis-eQTL), but trans-eQTL have been more difficult to identify and replicate. Here we take advantage of our ability to predict the cis component of gene expression coupled with gene mapping methods such as PrediXcan to identify high confidence candidate trans-acting genes and their targets. That is, we correlate the cis component of gene expression with observed expression of genes in different chromosomes. Leveraging the shared cis-acting regulation across tissues, we combine the evidence of association across all available Genotype-Tissue Expression Project tissues and find 2,356 trans-acting/target gene pairs with high mappability scores. Reassuringly, trans-acting genes are enriched in transcription and nucleic acid binding pathways and target genes are enriched in known transcription factor binding sites. Interestingly, trans-acting genes are more significantly associated with selected complex traits and diseases than target or background genes, consistent with percolating trans effects. Our scripts and summary statistics are publicly available for future studies of trans-acting gene regulation.

Indexed as

Gene Expression RegulationGenetic Association StudiesMultifactorial InheritanceQuantitative Trait LociTranscription, GeneticCardiovascular DiseasesChromosome MappingGenome, HumanHumansTrans-ActivatorsTranscriptomeTrans-Activatorscomplex trait geneticsgene expressiongenetic predictiontrans-eQTL

Identifiers

PMID30950127
PMCPMC6687523
OpenAlexW2951446299

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.