Evidence map›Paper›PMID 24651390›Full record

ArticlePloS one2014

Analysis of multiple association studies provides evidence of an expression QTL hub in gene-gene interaction network affecting HDL cholesterol levels.

Li Ma, Christie Ballantyne, Ariel Brautbar, Alon Keinan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 15 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

4 authors at 2 institutions in 1 country.

Li MaDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America.
Christie BallantyneSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America.
Ariel BrautbarSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America; Department of Medical Genetics, Marshfield Clinic, Marshfield, Wisconsin, United States of America.
Alon KeinanDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America.
Baylor College of Medicine · USCornell University · US

Funding

The X-factor of complex disease: From population genetics to GWAS of Chromosome XR01HG006849 · NHGRI · CORNELL UNIVERSITY · PI CLARK, ANDREW G · 2013 to 2020
$2.3M
NHGRI NIH HHS R01 HG006849NHGRI NIH HHS R01HG006849
6 · The paper itself

Abstract

Epistasis has been suggested to underlie part of the missing heritability in genome-wide association studies. In this study, we first report an analysis of gene-gene interactions affecting HDL cholesterol (HDL-C) levels in a candidate gene study of 2,091 individuals with mixed dyslipidemia from a clinical trial. Two additional studies, the Atherosclerosis Risk in Communities study (ARIC; n = 9,713) and the Multi-Ethnic Study of Atherosclerosis (MESA; n = 2,685), were considered for replication. We identified a gene-gene interaction between rs1532085 and rs12980554 (P = 7.1 × 10(-7)) in their effect on HDL-C levels, which is significant after Bonferroni correction (P(c) = 0.017) for the number of SNP pairs tested. The interaction successfully replicated in the ARIC study (P = 7.0 × 10(-4); P(c) = 0.02). Rs1532085, an expression QTL (eQTL) of LIPC, is one of the two SNPs involved in another, well-replicated gene-gene interaction underlying HDL-C levels. To further investigate the role of this eQTL SNP in gene-gene interactions affecting HDL-C, we tested in the ARIC study for interaction between this SNP and any other SNP genome-wide. We found the eQTL to be involved in a few suggestive interactions, one of which significantly replicated in MESA. Importantly, these gene-gene interactions, involving only rs1532085, explain an additional 1.4% variation of HDL-C, on top of the 0.65% explained by rs1532085 alone. LIPC plays a key role in the lipid metabolism pathway and it, and rs1532085 in particular, has been associated with HDL-C and other lipid levels. Collectively, we discovered several novel gene-gene interactions, all involving an eQTL of LIPC, thus suggesting a hub role of LIPC in the gene-gene interaction network that regulates HDL-C levels, which in turn raises the hypothesis that LIPC's contribution is largely via interactions with other lipid metabolism related genes.

Indexed as

Epistasis, GeneticGenetic Association StudiesQuantitative Trait LociAgedAged, 80 and overAtherosclerosisCholesterol, HDLGenome-Wide Association StudyGenotypeHumansHyperlipidemiasMiddle AgedPhenotypePolymorphism, Single NucleotideRandomized Controlled Trials as TopicRiskCholesterol, HDL

Identifiers

PMID24651390
PMCPMC3961362
OpenAlexW2144809974

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.