Evidence map›Paper›PMID 24256507›Full record

ArticleBMC medical genetics2013

Lipid trait-associated genetic variation is associated with gallstone disease in the diverse Third National Health and Nutrition Examination Survey (NHANES III).

Robert Goodloe, Kristin Brown-Gentry, Niloufar B Gillani, Hailing Jin, Ping Mayo, Melissa Allen, Bob McClellan, Jonathan Boston, Cara Sutcliffe, Nathalie Schnetz-Boutaud and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Genetics of Gallstone Disease and Their Clinical Significance: A Narrative Review.Journal of clinical and translational hepatology · 2024
    Review
  3. Article
  4. Article
  5. An update on the pathogenesis of cholesterol gallstone disease.Current opinion in gastroenterology · 2018
    Review
  6. Review
  7. Article
  8. 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

12 authors at 2 institutions in 1 country.

Robert Goodloe
Kristin Brown-Gentry
Niloufar B Gillani
Hailing Jin
Ping Mayo
Melissa Allen
Bob McClellan
Jonathan Boston
Cara Sutcliffe
Nathalie Schnetz-Boutaud
Holli H Dilks
Dana C CrawfordCenter for Human Genetics Research, Vanderbilt University, 2215 Garland Avenue, 519 Light Hall, Nashville, Tennessee 37232, USA. crawford@chgr.mc.vanderbilt.edu.
Center for Human Genetics · USVanderbilt University · US

Funding

Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
NHLBI DNA RESEQUENCING AND GENOTYPING PROGRAM LABORATORY CENTERN01HV48195 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SCOTT, ALAN · 2007 to 2009
$3.2M
NHGRI NIH HHS U01HG004798NHLBI NIH HHS N01HV48195
6 · The paper itself

Abstract

backgroundGallstone disease is one of the most common digestive disorders, affecting more than 30 million Americans. Previous twin studies suggest a heritability of 25% for gallstone formation. To date, one genome-wide association study (GWAS) has been performed in a population of European-descent. Several candidate gene studies have been performed in various populations, but most have been inconclusive. Given that gallstones consist of up to 80% cholesterol, we hypothesized that common genetic variants associated with high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG) would also be associated with gallstone risk.

methodsTo test this hypothesis, the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) study as part of the Population Architecture using Genomics and Epidemiology (PAGE) study performed tests of association between 49 GWAS-identified lipid trait SNPs and gallstone disease in non-Hispanic whites (446 cases and 1,962 controls), non-Hispanic blacks (179 cases and 1,540 controls), and Mexican Americans (227 cases and 1,478 controls) ascertained for the population-based Third National Health and Nutrition Examination Survey (NHANES III).

resultsAt a liberal significance threshold of 0.05, five, four, and four SNP(s) were associated with disease risk in non-Hispanic whites, non-Hispanic blacks, and Mexican Americans, respectively. No one SNP was associated with gallstone disease risk in all three racial/ethnic groups. The most significant association was observed for ABCG5 rs6756629 in non-Hispanic whites [odds ratio (OR) = 1.89; 95% confidence interval (CI) = 1.44-2.49; p = 0.0001). ABCG5 rs6756629 is in strong linkage disequilibrium with rs11887534 (D19H), a variant previously associated with gallstone disease risk in populations of European-descent.

conclusionsWe replicated a previously associated variant for gallstone disease risk in non-Hispanic whites. Further discovery and fine-mapping efforts in diverse populations are needed to fully describe the genetic architecture of gallstone disease risk in humans.

Indexed as

Genetic VariationAdultAgedATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 5Black or African AmericanCase-Control StudiesCholesterol, HDLCholesterol, LDLFemaleGallstonesGenetic Predisposition to DiseaseGenome-Wide Association StudyHealth SurveysHumansLinkage DisequilibriumABCG5 protein, humanATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 5Cholesterol, HDLCholesterol, LDLLipoproteinsTriglycerides

Identifiers

PMID24256507
PMCPMC3870971
OpenAlexW2059810218

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.