Evidence map›Paper›PMID 21386085›Full record

ArticleDiabetes2011

A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium.

Aldi T Kraja, Dhananjay Vaidya, James S Pankow, Mark O Goodarzi, Themistocles L Assimes, Iftikhar J Kullo, Ulla Sovio, Rasika A Mathias, Yan V Sun, Nora Franceschini and 29 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 19 pooled it
16.2field-weighted citation impact, top 1% 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

149 citing papers in PubMed, 19 syntheses or guidelines pooled it, 255 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pleiotropic genes for metabolic syndrome and inflammation.Molecular genetics and metabolism · 2014
    Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Pooled it
  17. Pooled it
  18. Pooled it
  19. Pooled it
  20. Trial

89 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

39 authors at 16 institutions in 2 countries.

Aldi T KrajaDivision of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri, USA. aldi@wustl.edu
Dhananjay Vaidya
James S Pankow
Mark O Goodarzi
Themistocles L Assimes
Iftikhar J Kullo
Ulla Sovio
Rasika A Mathias
Yan V Sun
Nora Franceschini
Devin Absher
Guo Li
Qunyuan Zhang
Mary F Feitosa
Nicole L Glazer
Talin Haritunians
Anna-Liisa Hartikainen
Joshua W Knowles
Kari E North
Carlos Iribarren
Brian Kral
Lisa Yanek
Paul F O'Reilly
Mark I McCarthy
Cashell Jaquish
David J Couper
Aravinda Chakravarti
Bruce M Psaty
Lewis C Becker
Michael A Province
Eric Boerwinkle
Thomas Quertermous
Leena Palotie
Marjo-Riitta Jarvelin
Diane M Becker
Sharon L R Kardia
Jerome I Rotter
Yii-Der Ida Chen
Ingrid B Borecki
Johns Hopkins University · USWashington University in St. Louis · USCedars-Sinai Medical Center · USStanford University · USUniversity of North Carolina at Chapel Hill · USUniversity of Michigan–Ann Arbor · USUniversity of Oulu · FIUniversity of Washington · USGroup Health Cooperative · USHudsonAlpha Institute for Biotechnology · USJohns Hopkins Medicine · USMayo Clinic · USNational Heart Lung and Blood Institute · USThe University of Texas Health Science Center at Houston · USUniversity of California, Los Angeles · USUniversity of Minnesota · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
ZONA-FREE HAMSTER OVA ASSAY AS AN INDICATOR OF MALE FERTILITYM01RR000425 · NCRR · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI ANDERSON, GAIL V · 1985 to 2011
$74.2M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
Atherosclerosis, Plaque and CVD in CommunitiesU01HL075572 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A · 2004 to 2007
$15.6M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
FHS-SCAN Genome Wide Association Scan for Atherosclerosis Pathway GenesR01HL087700 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2006 to 2008
$5.4M
WGA Study to Identify Genetic Variants Associated with CV Events in CHSR01HL087652 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2009
$5.1M
Genomic Predictors of Arteriosclerosis in HypertensivesR01HL087660 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2007 to 2009
$5.1M
GENETIC DETERMINANTS OF HYPERTENSIONU01HL054527 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS NONE · 1995 to 2004
$4.6M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Whole Genome Association for Early Coronary Artery Disease and Related PhenotypesR01HL087647 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2006 to 2008
$4.6M
NCRR NIH HHS L1-RR-025005NCRR NIH HHS M01 RR000425NCRR NIH HHS M01RR00425NCRR NIH HHS UL1 RR025005NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01HG004402NHLBI NIH HHS 5R01-HL-087647NHLBI NIH HHS 5R01-HL-087679-02NHLBI NIH HHS 5R01-HL-087698NHLBI NIH HHS HL-087652NHLBI NIH HHS HL-087660NHLBI NIH HHS HL-087700NHLBI NIH HHS HL-0877700NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC055015NHLBI NIH HHS N01 HC055016NHLBI NIH HHS N01 HC055018NHLBI NIH HHS N01 HC055019NHLBI NIH HHS N01 HC055020NHLBI NIH HHS N01 HC055021NHLBI NIH HHS N01 HC055022NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01-HC-55015NHLBI NIH HHS N01-HC-55016NHLBI NIH HHS N01-HC-55018NHLBI NIH HHS N01-HC-55019NHLBI NIH HHS N01-HC-55020NHLBI NIH HHS N01-HC-55022NHLBI NIH HHS N01-HC-55222NHLBI NIH HHS N01-HC-75150NHLBI NIH HHS N01-HC-85079NHLBI NIH HHS N01-HC-85080NHLBI NIH HHS N01-HC-85081NHLBI NIH HHS N01-HC-85082NHLBI NIH HHS N01-HC-85083NHLBI NIH HHS N01-HC-85084NHLBI NIH HHS N01-HC-85085NHLBI NIH HHS N01-HC-85086NHLBI NIH HHS NC01-HC-55021NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01-HL-086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01-HL-087641NHLBI NIH HHS R01 HL087647NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01-HL-087652NHLBI NIH HHS R01 HL087660NHLBI NIH HHS R01 HL087679NHLBI NIH HHS R01 HL087698NHLBI NIH HHS R01 HL087700NHLBI NIH HHS R01-HL-59367NHLBI NIH HHS U01 HL075572NHLBI NIH HHS U01-HL-075572NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01-HL-080295NIDDK NIH HHS DK-063491NIDDK NIH HHS P30 DK063491NIMH NIH HHS 1RL1-MH-083268-01NIMH NIH HHS 1RL1MH083268-01NIMH NIH HHS 5R01-MH-63706:0NIMH NIH HHS R01 MH063706NIMH NIH HHS RL1 MH083268Wellcome Trust 090532
6 · The paper itself

Abstract

OBJECTIVE The metabolic syndrome (MetS) is defined as concomitant disorders of lipid and glucose metabolism, central obesity, and high blood pressure, with an increased risk of type 2 diabetes and cardiovascular disease. This study tests whether common genetic variants with pleiotropic effects account for some of the correlated architecture among five metabolic phenotypes that define MetS. RESEARCH DESIGN AND METHODS Seven studies of the STAMPEED consortium, comprising 22,161 participants of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel of ∼2.5 million imputed single nucleotide polymorphisms (SNPs). Phenotypes were defined by the National Cholesterol Education Program (NCEP) criteria for MetS in pairwise combinations. Individuals exceeding the NCEP thresholds for both traits of a pair were considered affected. RESULTS Twenty-nine common variants were associated with MetS or a pair of traits. Variants in the genes LPL, CETP, APOA5 (and its cluster), GCKR (and its cluster), LIPC, TRIB1, LOC100128354/MTNR1B, ABCB11, and LOC100129150 were further tested for their association with individual qualitative and quantitative traits. None of the 16 top SNPs (one per gene) associated simultaneously with more than two individual traits. Of them 11 variants showed nominal associations with MetS per se. The effects of 16 top SNPs on the quantitative traits were relatively small, together explaining from ∼9% of the variance in triglycerides, 5.8% of high-density lipoprotein cholesterol, 3.6% of fasting glucose, and 1.4% of systolic blood pressure. CONCLUSIONS Qualitative and quantitative pleiotropic tests on pairs of traits indicate that a small portion of the covariation in these traits can be explained by the reported common genetic variants.

Indexed as

Genome-Wide Association StudyAdultAgedFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMeta-Analysis as TopicMetabolic SyndromeMiddle AgedPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID21386085
PMCPMC3064107
OpenAlexW2133804898

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.