Evidence map›Paper›PMID 28218759›Full record

ArticleNature genetics2017

Limited statistical evidence for shared genetic effects of eQTLs and autoimmune-disease-associated loci in three major immune-cell types.

Sung Chun, Alexandra Casparino, Nikolaos A Patsopoulos, Damien C Croteau-Chonka, Benjamin A Raby, Philip L De Jager, Shamil R Sunyaev, Chris Cotsapas

Abstract read
In one paragraph

Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

169 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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109 more citing papers are in PubMed but not listed here.

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

8 authors.

Sung ChunDivision of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0003-3440-1913
Alexandra CasparinoDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Nikolaos A PatsopoulosBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Damien C Croteau-ChonkaDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0003-3466-1846
Benjamin A RabyDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Philip L De JagerDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Shamil R SunyaevDivision of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Chris CotsapasBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0000-0002-7772-5910

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Statistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4M
Powering whole genome sequence-based genetic discovery for common human diseases- Extended 2021-2022.U01HG009088 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG, NEALE, BENJAMIN MICHAEL · 2016 to 2021
$5.1M
New Methods and Enhanced Software for Predicting Functional SNPsR01GM078598 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2007 to 2017
$3.5M
Improving Polygenic Prediction using Next-Generation Data SetsR01GM105857 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2014 to 2017
$2.0M
Statistical Methods for the Design and Interpretation of Deep Resequencing StudieR01MH084676 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2008 to 2010
$1.7M
NCATS NIH HHS UL1 TR001863NHGRI NIH HHS U01 HG009088NIGMS NIH HHS R01 GM078598NIGMS NIH HHS R01 GM105857NIMH NIH HHS R01 MH084676NIMH NIH HHS R01 MH101244
6 · The paper itself

Abstract

Most autoimmune-disease-risk effects identified by genome-wide association studies (GWAS) localize to open chromatin with gene-regulatory activity. GWAS loci are also enriched in expression quantitative trait loci (eQTLs), thus suggesting that most risk variants alter gene expression. However, because causal variants are difficult to identify, and cis-eQTLs occur frequently, it remains challenging to identify specific instances of disease-relevant changes to gene regulation. Here, we used a novel joint likelihood framework with higher resolution than that of previous methods to identify loci where autoimmune-disease risk and an eQTL are driven by a single shared genetic effect. Using eQTLs from three major immune subpopulations, we found shared effects in only ∼25% of the loci examined. Thus, we show that a fraction of gene-regulatory changes suggest strong mechanistic hypotheses for disease risk, but we conclude that most risk mechanisms are not likely to involve changes in basal gene expression.

Indexed as

Autoimmune DiseasesGene ExpressionGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansImmunityPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID28218759
PMCPMC5374036

What OpenQuestion holds

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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.