Evidence map›Paper›PMID 29891877›Full record

ArticleEuropean journal of human genetics : EJHG2018

Trans-eQTLs identified in whole blood have limited influence on complex disease biology.

Chloe X Yap, Luke Lloyd-Jones, Alexander Holloway, Peter Smartt, Naomi R Wray, Jacob Gratten, Joseph E Powell

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Methods and Insights from Single-Cell Expression Quantitative Trait Loci.Annual review of genomics and human genetics · 2023
    Review
  3. Article
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

7 authors at 1 institution in 1 country.

Chloe X YapInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Luke Lloyd-JonesInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Alexander HollowayQueensland Brain Institute, University of Queensland, Brisbane, Australia.
Peter SmarttQueensland Brain Institute, University of Queensland, Brisbane, Australia.
Naomi R WrayInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Jacob GrattenInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Joseph E PowellInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia. joseph.powell@uq.edu.au.
University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trans-eQTLs have been implicated in complex traits and common diseases, but many were initially identified on the basis of having an effect in cis, and there has been no assessment of the significance of the overlap in relation to chance expectations. Here, we investigated whether trans-expression quantitative trait loci (eQTL) associations identified in whole blood contribute to variance in complex traits by determining (1) whether genome-wide significant (GWS) single-nucleotide polymorphisms (SNPs) were enriched for trans-eQTL (including trans-only eQTL), and (2) whether the genomic regions surrounding associated trans-genes were enriched for statistical associations in the relevant GWAS. On average for a given phenotype, we identify 4.8% of GWS SNPs overlapping with trans-eQTL present in blood, and show that for the majority of these phenotypes, this observation does not exceed that expected by chance. Likewise, we observe no enrichment for genetic associations with the GWAS phenotype in the regions surrounding the linked trans-genes, with the exception of rheumatoid arthritis. Interestingly, the GWS SNPs for each phenotype were consistently more enriched for unique trans-eQTL SNPs than trans-eQTL SNP-probe pairs (p = 4 × 10

Indexed as

Quantitative Trait LociBiomarkersBlood CellsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideBiomarkers

Identifiers

PMID29891877
PMCPMC6117341
OpenAlexW2807798642

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.