Evidence map›Paper›PMID 19060906›Full record

ArticleNature genetics2009

Common variants at 30 loci contribute to polygenic dyslipidemia.

Sekar Kathiresan, Cristen J Willer, Gina M Peloso, Serkalem Demissie, Kiran Musunuru, Eric E Schadt, Lee Kaplan, Derrick Bennett, Yun Li, Toshiko Tanaka and 51 more

Abstract read
In one paragraph

Article in Nature genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 734 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
734citing papers in PubMed, 14 pooled it
–field-weighted citation impact
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

734 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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  3. Effect ofCardiovascular therapeutics · 2023
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  6. Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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674 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

61 authors.

Sekar KathiresanCardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.
Cristen J Willer
Gina M Peloso
Serkalem Demissie
Kiran Musunuru
Eric E Schadt
Lee Kaplan
Derrick Bennett
Yun Li
Toshiko Tanaka
Benjamin F Voight
Lori L Bonnycastle
Anne U Jackson
Gabriel Crawford
Aarti Surti
Candace Guiducci
Noel P Burtt
Sarah Parish
Robert Clarke
Diana Zelenika
Kari A Kubalanza
Mario A Morken
Laura J Scott
Heather M Stringham
Pilar Galan
Amy J Swift
Johanna Kuusisto
Richard N Bergman
Jouko Sundvall
Markku Laakso
Luigi Ferrucci
Paul Scheet
Serena Sanna
Manuela Uda
Qiong Yang
Kathryn L Lunetta
Josée Dupuis
Paul I W de Bakker
Christopher J O'Donnell
John C Chambers
Jaspal S Kooner
Serge Hercberg
Pierre Meneton
Edward G Lakatta
Angelo Scuteri
David Schlessinger
Jaakko Tuomilehto
Francis S Collins
Leif Groop
David Altshuler
Rory Collins
G Mark Lathrop
Olle Melander
Veikko Salomaa
Leena Peltonen
Marju Orho-Melander
Jose M Ordovas
Michael Boehnke
Gonçalo R Abecasis
Karen L Mohlke
L Adrienne Cupples

Funding

Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI ALEXANDER A SOUKAS · 1994 to 2026
$31.6M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
QUANTITATION OF FACTORS REGULATING GLUCOSE TOLERANCER01DK029867 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MARILYN ADER · 1986 to 2026
$11.0M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
GENETIC ANALYSIS OF TYPE II DIABETES IN FINNISH POPULATIONZ01HG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI COLLINS, FRANCIS S. · 1995 to 2008
$6.2M
Aging-related Traits and Disease Risk Factors in a Sardinian Population CohortZIAAG000675 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2021
$5.7M
Computational and Statistical Models for Human PedigreesR01HG002651 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2003 to 2008
$2.9M
GENE/DIET EFFECTS ON PLASMA LIPOPROTEIN LEVELSR01HL054776 · NHLBI · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 1996 to 2010
$2.6M
Genome-wide Association Study of Cardiovascular Traits in 6142 SardiniansZIAAG000799 · NIA · NATIONAL INSTITUTE ON AGING · PI LAKATTA, EDWARD · 2009 to 2025
$1.8M
GENOTYPING FOR LOCATING HUMAN DISEASE GENESN01HG065403 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID L · 1996 to 2000
$1.7M
British Heart FoundationCancer Research UKDepartment of HealthIntramural NIH HHS Z01 HG000024Medical Research Council MC_U137686857NHGRI NIH HHS HG02651NHGRI NIH HHS N01 HG065403NHGRI NIH HHS R01 HG002651NHLBI NIH HHS HL084729NHLBI NIH HHS HL-54776NHLBI NIH HHS K23 HL083102NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS R01 HL054776NHLBI NIH HHS U01 HL084729NIDDK NIH HHS DK062370NIDDK NIH HHS DK072193NIDDK NIH HHS P30 DK040561NIDDK NIH HHS R01 DK029867NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK075030NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370PHS HHS 53-K06-5-10Wellcome Trust 089061
6 · The paper itself

Abstract

Blood low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglyceride levels are risk factors for cardiovascular disease. To dissect the polygenic basis of these traits, we conducted genome-wide association screens in 19,840 individuals and replication in up to 20,623 individuals. We identified 30 distinct loci associated with lipoprotein concentrations (each with P < 5 x 10(-8)), including 11 loci that reached genome-wide significance for the first time. The 11 newly defined loci include common variants associated with LDL cholesterol near ABCG8, MAFB, HNF1A and TIMD4; with HDL cholesterol near ANGPTL4, FADS1-FADS2-FADS3, HNF4A, LCAT, PLTP and TTC39B; and with triglycerides near AMAC1L2, FADS1-FADS2-FADS3 and PLTP. The proportion of individuals exceeding clinical cut points for high LDL cholesterol, low HDL cholesterol and high triglycerides varied according to an allelic dosage score (P < 10(-15) for each trend). These results suggest that the cumulative effect of multiple common variants contributes to polygenic dyslipidemia.

Indexed as

AdultAllelesCholesterol, HDLCholesterol, LDLDelta-5 Fatty Acid DesaturaseDyslipidemiasFemaleGene Expression RegulationGenome-Wide Association StudyHumansLiverMaleMeta-Analysis as TopicMiddle AgedMultifactorial InheritancePhenotypeCholesterol, HDLCholesterol, LDLDelta-5 Fatty Acid DesaturaseFADS1 protein, humanRNA, MessengerTriglycerides

Identifiers

PMID19060906
PMCPMC2881676

What OpenQuestion holds

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Registered trials

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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.