Evidence map›Paper›PMID 22654671›Full record

ArticlePLoS genetics2012

Knowledge-driven analysis identifies a gene-gene interaction affecting high-density lipoprotein cholesterol levels in multi-ethnic populations.

Li Ma, Ariel Brautbar, Eric Boerwinkle, Charles F Sing, Andrew G Clark, Alon Keinan

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. The role of gene polymorphisms in endometriosis.Molecular medicine reports · 2017
    Article
  18. Article
  19. Article
  20. 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

6 authors at 4 institutions in 1 country.

Li MaDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America.
Ariel Brautbar
Eric Boerwinkle
Charles F Sing
Andrew G Clark
Alon Keinan
Cornell University · USBaylor College of Medicine · USMichigan United · USThe University of Texas Health Science Center at Houston · US

Funding

Variable DNA sites predicting interindividual variation in health measuresP50GM065509 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SING, CHARLES · 2001 to 2011
$27.5M
Modeling DNA Diversity in Reverse Cholestrol TransportR01HL072904 · NHLBI · CORNELL UNIVERSITY ITHACA · PI CLARK, ANDREW G · 2003 to 2012
$2.9M
Population Structure Admixture and Selection across the 1000 Genomes Data SetU01HG005715 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2010 to 2012
$1.1M
NHGRI NIH HHS U01 HG005715NHGRI NIH HHS U01-HG005715NHLBI NIH HHS HL072904NHLBI NIH HHS R01 HL072904NIGMS NIH HHS GM065509NIGMS NIH HHS P50 GM065509
6 · The paper itself

Abstract

Total cholesterol, low-density lipoprotein cholesterol, triglyceride, and high-density lipoprotein cholesterol (HDL-C) levels are among the most important risk factors for coronary artery disease. We tested for gene-gene interactions affecting the level of these four lipids based on prior knowledge of established genome-wide association study (GWAS) hits, protein-protein interactions, and pathway information. Using genotype data from 9,713 European Americans from the Atherosclerosis Risk in Communities (ARIC) study, we identified an interaction between HMGCR and a locus near LIPC in their effect on HDL-C levels (Bonferroni corrected P(c) = 0.002). Using an adaptive locus-based validation procedure, we successfully validated this gene-gene interaction in the European American cohorts from the Framingham Heart Study (P(c) = 0.002) and the Multi-Ethnic Study of Atherosclerosis (MESA; P(c) = 0.006). The interaction between these two loci is also significant in the African American sample from ARIC (P(c) = 0.004) and in the Hispanic American sample from MESA (P(c) = 0.04). Both HMGCR and LIPC are involved in the metabolism of lipids, and genome-wide association studies have previously identified LIPC as associated with levels of HDL-C. However, the effect on HDL-C of the novel gene-gene interaction reported here is twice as pronounced as that predicted by the sum of the marginal effects of the two loci. In conclusion, based on a knowledge-driven analysis of epistasis, together with a new locus-based validation method, we successfully identified and validated an interaction affecting a complex trait in multi-ethnic populations.

Indexed as

Epistasis, GeneticGenome-Wide Association StudyHydroxymethylglutaryl CoA ReductasesLipaseBlack or African AmericanCholesterol, HDLCholesterol, LDLHispanic or LatinoHumansTriglyceridesWhite PeopleCholesterol, HDLCholesterol, LDLHMGCR protein, humanHydroxymethylglutaryl CoA ReductasesLipaseLIPC protein, humanTriglycerides

Identifiers

PMID22654671
PMCPMC3359971
OpenAlexW1982557391

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.