Evidence map›Paper›PMID 24823311›Full record

SynthesisCirculation. Cardiovascular genetics2014

Genome-wide association study of plasma N6 polyunsaturated fatty acids within the cohorts for heart and aging research in genomic epidemiology consortium.

Weihua Guan, Brian T Steffen, Rozenn N Lemaitre, Jason H Y Wu, Toshiko Tanaka, Ani Manichaikul, Millennia Foy, Stephen S Rich, Lu Wang, Jennifer A Nettleton and 14 more

Open access · bronzeAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Circulation. Cardiovascular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed, 8 pooled it
7.5field-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

129 citing papers in PubMed, 8 syntheses or guidelines pooled it, 220 citations in OpenAlex.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
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69 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

24 authors at 9 institutions in 3 countries.

Weihua Guan *Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN.
Brian T Steffen *Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN.
Rozenn N Lemaitre *Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
Jason H Y Wu *Department of Epidemiology and Nutrition, Harvard School of Public Health, Boston, MA.
Toshiko Tanaka *Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD.
Ani Manichaikul *Center for Public Health Genomics, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA.
Millennia Foy *Institute of Molecular Medicine, University of Texas Health Sciences Center in Houston, Houston, TX.
Stephen S RichCenter for Public Health Genomics, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA.
Lu WangDepartment of Epidemiology and Nutrition, Harvard School of Public Health, Boston, MA.
Jennifer A NettletonDepartment of Epidemiology, University of Texas Health Sciences Center in Houston, Houston, TX.
Weihong TangDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Xiangjun GuInstitute of Molecular Medicine, University of Texas Health Sciences Center in Houston, Houston, TX.
Stafania BandinelliGeriatric Rehabilitation Unit, Azienda Sanitaria Firenze (ASF), Florence, Italy.
Irena B KingDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico.
Barbara McKnightCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
Bruce M PsatyCardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA.
David SiscovickCardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA.
Luc DjousseDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School & Boston VA Healthcare System, Boston, MA.
Yii-Der Ida ChenCedars-Sinai Medical Center, Los Angeles, CA.
Luigi Ferrucci *Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD.
Myriam Fornage *Institute of Molecular Medicine, University of Texas Health Sciences Center in Houston, Houston, TX.
Dariush Mozafarrian *Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School; Department of Epidemiology, Harvard School of Public Health, Boston, MA.
Michael Y Tsai *Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN.
Lyn M Steffen *Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
University of Minnesota · USUniversity of Washington · USHarvard University Press · USThe University of Texas Health Science Center at Houston · USGroup Health Cooperative · USHarvard University · USNational Institute on Aging · USNational Institutes of Health · USUniversity of Virginia · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
A Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4M
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
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
Fatty Acids and Major Cardiovascular OutcomesR01HL085710 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MOZAFFARIAN, DARIUSH · 2006 to 2016
$5.1M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCRR NIH HHS RR-024156NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1RR025005NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01HG004402NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01-HG-004424NHGRI NIH HHS U01 HG004446NHGRI NIH HHS U01-HG-004446NHGRI NIH HHS U01 HG004729NHGRI NIH HHS U01-HG-004729NHLBI NIH HHS HL080295NHLBI NIH HHS HL085710NHLBI NIH HHS HL087652NHLBI NIH HHS HL105756NHLBI NIH HHS N01 HC005187NHLBI 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-HC-05187NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095095NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N01-HC-45204NHLBI NIH HHS N01-HC-45205NHLBI NIH HHS N01-HC-48047NHLBI NIH HHS N01-HC-48048NHLBI NIH HHS N01-HC-48049NHLBI NIH HHS N01-HC-48050NHLBI NIH HHS N01-HC-95095NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95169NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL080295NHLBI NIH HHS R01 HL084099NHLBI NIH HHS R01-HL-084099NHLBI NIH HHS R01 HL085710NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01HL087641NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01HL59367NHLBI NIH HHS U01 HL080295NIA NIH HHS AG023629NIA NIH HHS R01 AG023629NIA NIH HHS R56 AG023629NIDDK NIH HHS 5K01DK082729-02NIDDK NIH HHS DK063491NIDDK NIH HHS K01 DK082729NIDDK NIH HHS P30 DK063491NIMHD NIH HHS 263 MDNIMHD NIH HHS R01 MD009164PHS HHS 821336PHS HHS 9164PHS HHS HSN268200625226C
6 · The paper itself

Abstract

backgroundOmega6 (n6) polyunsaturated fatty acids (PUFAs) and their metabolites are involved in cell signaling, inflammation, clot formation, and other crucial biological processes. Genetic components, such as variants of fatty acid desaturase (FADS) genes, determine the composition of n6 PUFAs. METHODS AND

resultsTo elucidate undiscovered biological pathways that may influence n6 PUFA composition, we conducted genome-wide association studies and meta-analyses of associations of common genetic variants with 6 plasma n6 PUFAs in 8631 white adults (55% women) across 5 prospective studies. Plasma phospholipid or total plasma fatty acids were analyzed by similar gas chromatography techniques. The n6 fatty acids linoleic acid (LA), γ-linolenic acid (GLA), dihomo-GLA, arachidonic acid, and adrenic acid were expressed as percentage of total fatty acids. We performed linear regression with robust SEs to test for single-nucleotide polymorphism-fatty acid associations, with pooling using inverse-variance-weighted meta-analysis. Novel regions were identified on chromosome 10 associated with LA (rs10740118; P=8.1×10(-9); near NRBF2), on chromosome 16 with LA, GLA, dihomo-GLA, and arachidonic acid (rs16966952; P=1.2×10(-15), 5.0×10(-11), 7.6×10(-65), and 2.4×10(-10), respectively; NTAN1), and on chromosome 6 with adrenic acid after adjustment for arachidonic acid (rs3134950; P=2.1×10(-10); AGPAT1). We confirmed previous findings of the FADS cluster on chromosome 11 with LA and arachidonic acid, and further observed novel genome-wide significant association of this cluster with GLA, dihomo-GLA, and adrenic acid (P=2.3×10(-72), 2.6×10(-151), and 6.3×10(-140), respectively).

conclusionsOur findings suggest that along with the FADS gene cluster, additional genes may influence n6 PUFA composition.

Indexed as

Genome-Wide Association StudyAdultAgedAged, 80 and overAgingChromosomes, Human, Pair 10Chromosomes, Human, Pair 16Chromosomes, Human, Pair 6Fatty Acid DesaturasesFatty Acids, Omega-6FemaleGenomicsHeart DiseasesHumansMaleMiddle AgedFatty Acid DesaturasesFatty Acids, Omega-6epidemiologygenome-wide association studyN6 fatty acidspolyunsaturated fatty acids

Identifiers

PMID24823311
PMCPMC4123862
OpenAlexW2099294505

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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.