Evidence map›Paper›PMID 22022282›Full record

ArticlePLoS genetics2011

A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains.

Christy L Avery, Qianchuan He, Kari E North, Jose L Ambite, Eric Boerwinkle, Myriam Fornage, Lucia A Hindorff, Charles Kooperberg, James B Meigs, James S Pankow and 8 more

Abstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

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0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Article
  5. Frontiers in pediatrics · 2026
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  11. Mapping pleiotropic loci using a fast-sequential testing algorithm.European journal of human genetics : EJHG · 2021
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3 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

18 authors.

Christy L AveryDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America. christy_avery@unc.edu
Qianchuan He
Kari E North
Jose L Ambite
Eric Boerwinkle
Myriam Fornage
Lucia A Hindorff
Charles Kooperberg
James B Meigs
James S Pankow
Sarah A Pendergrass
Bruce M Psaty
Marylyn D Ritchie
Jerome I Rotter
Kent D Taylor
Lynne R Wilkens
Gerardo Heiss
Dan Yu Lin

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
VALIDATION OF A DIET HISTORY METHOD FOR EPIDEMIOLOGIC STUDIES OF CANCERP01CA033619 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1985 to 2010
$18.5M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098758 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2003 to 2010
$11.0M
Epidemiology of putative genuine genetic variant: The Women's Health IntiativeU01HG004790 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2008 to 2012
$9.9M
A Genome-wide Association Study of Prostate Cancer in African AmericansU01CA136792 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2009 to 2011
$9.4M
Genetic Epidemiology of Causal Variants Across the Life CourseU01HG004803 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NORTH, KARI E. · 2008 to 2012
$9.0M
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
Epidemiology of Putative Causal Variants in the Multiethnic CohortU01HG004802 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2008 to 2012
$8.4M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Genetic Epidemiology of Causal Variants across the Life Course Phase II (CALiCo IU01HG007416 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NORTH, KARI E. · 2013 to 2017
$3.9M
NCI NIH HHS P01 CA033619NCI NIH HHS P01CA33619NCI NIH HHS R37 CA054281NCI NIH HHS R37CA54281NCI NIH HHS U01 CA098758NCI NIH HHS U01 CA136792NCI NIH HHS U01CA136792NCI NIH HHS U01CA98758NHGRI NIH HHS U01 HG004790NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01 HG004802NHGRI NIH HHS U01 HG004803NHGRI NIH HHS U01 HG007416NHLBI NIH HHS K99 HL098458NHLBI NIH HHS K99-HL-098458NHLBI NIH HHS N01 HC005187NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC045134NHLBI NIH HHS N01 HC045204NHLBI NIH HHS N01 HC045205NHLBI NIH HHS N01 HC048047NHLBI NIH HHS N01 HC048048NHLBI NIH HHS N01 HC048049NHLBI NIH HHS N01 HC048050NHLBI NIH HHS N01 HC055015NHLBI NIH HHS N01 HC055016NHLBI NIH HHS N01 HC055019NHLBI NIH HHS N01 HC055020NHLBI NIH HHS N01 HC055021NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC065226NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085084NHLBI NIH HHS N01 HC085085NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095095NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS U01 HL080295NIDDK NIH HHS K24 DK080140NIDDK NIH HHS R01 DK078616NIEHS NIH HHS P30 ES010126WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

Despite evidence of the clustering of metabolic syndrome components, current approaches for identifying unifying genetic mechanisms typically evaluate clinical categories that do not provide adequate etiological information. Here, we used data from 19,486 European American and 6,287 African American Candidate Gene Association Resource Consortium participants to identify loci associated with the clustering of metabolic phenotypes. Six phenotype domains (atherogenic dyslipidemia, vascular dysfunction, vascular inflammation, pro-thrombotic state, central obesity, and elevated plasma glucose) encompassing 19 quantitative traits were examined. Principal components analysis was used to reduce the dimension of each domain such that >55% of the trait variance was represented within each domain. We then applied a statistically efficient and computational feasible multivariate approach that related eight principal components from the six domains to 250,000 imputed SNPs using an additive genetic model and including demographic covariates. In European Americans, we identified 606 genome-wide significant SNPs representing 19 loci. Many of these loci were associated with only one trait domain, were consistent with results in African Americans, and overlapped with published findings, for instance central obesity and FTO. However, our approach, which is applicable to any set of interval scale traits that is heritable and exhibits evidence of phenotypic clustering, identified three new loci in or near APOC1, BRAP, and PLCG1, which were associated with multiple phenotype domains. These pleiotropic loci may help characterize metabolic dysregulation and identify targets for intervention.

Indexed as

Apolipoprotein C-IBlack or African AmericanBlood GlucoseDyslipidemiasGenetic Association StudiesGenetic Predisposition to DiseaseGenome, HumanHumansMetabolic SyndromeObesity, AbdominalPhenotypePhospholipase C gammaPolymorphism, Single NucleotideQuantitative Trait, HeritableUbiquitin-Protein LigasesVascular DiseasesAPOC1 protein, humanApolipoprotein C-IBlood GlucoseBRAP protein, humanPhospholipase C gammaPLCG1 protein, humanUbiquitin-Protein Ligases

Identifiers

PMID22022282
PMCPMC3192835

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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.