Evidence map›Paper›PMID 26791180›Full record

SynthesisThe American journal of clinical nutrition2016

Interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.

Yiyi Ma, Jack L Follis, Caren E Smith, Toshiko Tanaka, Ani W Manichaikul, Audrey Y Chu, Cecilia Samieri, Xia Zhou, Weihua Guan, Lu Wang and 37 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in The American journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

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  10. Best (but oft-forgotten) practices: mediation analysis.The American journal of clinical nutrition · 2017
    Article
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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

47 authors at 20 institutions in 4 countries.

Yiyi MaBiomedical Genetics, Department of Medicine, Boston University, Boston, MA; Jean Mayer USDA Human Nutrition Research Center on Aging and yiyima@bu.edu.ORCID http://orcid.org/0000-0002-3609-8877
Jack L FollisDepartment of Mathematics, Computer Science and Cooperative Engineering, University of St. Thomas, Houston, TX;
Caren E SmithJean Mayer USDA Human Nutrition Research Center on Aging and.
Toshiko TanakaTranslational Gerontology Branch and.
Ani W ManichaikulCenter for Public Health Genomics, University of Virginia, Charlottesville, VA;
Audrey Y ChuBrigham and Women's Hospital, Harvard Medical School, Boston, MA;
Cecilia SamieriInserm, U897, University of Bordeaux, Bordeaux, France; University of Bordeaux, ISPED, Bordeaux, France;
Xia ZhouDivisions of Epidemiology and Community Health and.
Weihua GuanBiostatistics, School of Public Health, and.
Lu WangBrigham and Women's Hospital, Harvard Medical School, Boston, MA;
Mary L BiggsDepartments of Biostatistics, Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA;
Yii-Der I ChenCedars-Sinai Medical Center, Medical Genetics Research Institute, Los Angeles, CA; Los Angeles Biomedical Institute, Harbor-University of California, Los Angeles Medical Center, Torrance, CA;
Dena G HernandezLaboratory of Neurogenetics, National Institute on Aging, Bethesda, MD;
Ingrid BoreckiDepartment of Genetics, Washington University School of Medicine, St. Louis, MO;
Daniel I ChasmanBrigham and Women's Hospital, Harvard Medical School, Boston, MA;
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA;
Luigi FerrucciTranslational Gerontology Branch and.
Marguerite Ryan IrvinDepartments of Epidemiology and.
Stella AslibekyanDepartments of Epidemiology and.
Degui ZhiBiostatics, University of Alabama at Birmingham, Birmingham, AL;
Hemant K TiwariBiostatics, University of Alabama at Birmingham, Birmingham, AL;
Steven A ClaasDepartments of Epidemiology and.
Jin ShaDepartments of Epidemiology and.
Edmond K KabagambeDepartment of Medicine, Vanderbilt University, Nashville, TN;
Chao-Qiang LaiJean Mayer USDA Human Nutrition Research Center on Aging and.
Laurence D ParnellJean Mayer USDA Human Nutrition Research Center on Aging and.
Yu-Chi LeeJean Mayer USDA Human Nutrition Research Center on Aging and.
Philippe AmouyelInserm, UMR1167, Lille, France; University of Lille, Lille, France; Institut Pasteur de Lille, Lille, France; Regional University Hospital of Lille, Lille, France;
Jean-Charles LambertInserm, UMR1167, Lille, France; University of Lille, Lille, France; Institut Pasteur de Lille, Lille, France;
Bruce M PsatyEpidemiology, Health Services, and Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA;
Irena B KingDepartment of Internal Medicine, University of New Mexico, Albuquerque, NM;
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA;
Barbara McKnightDepartments of Biostatistics, Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA;
Stefania BandinelliGeriatric Unit, Azienda Sanitaria Firenze, Florence, Italy;
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN;
Paul M RidkerBrigham and Women's Hospital, Harvard Medical School, Boston, MA;
Jingzhong DingDepartments of Internal Medicine and.
Kurt Lohmant MstatEpidemiology & Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC;
Yongmei LiuEpidemiology & Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC;
Nona SotoodehniaCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA;
Pascale Barberger-GateauInserm, U897, University of Bordeaux, Bordeaux, France; University of Bordeaux, ISPED, Bordeaux, France;
Lyn M SteffenDivisions of Epidemiology and Community Health and.
David S SiscovickNew York Academy of Medicine, New York, NY;
Devin AbsherHudson Alpha Institute for Biotechnology, Huntsville, AL;
Donna K ArnettDepartments of Epidemiology and.
José M OrdovásJean Mayer USDA Human Nutrition Research Center on Aging and Department of Epidemiology and Population Genetics, Cardiovascular Research Center, Madrid, Spain; and IMDEA Food Institute, Madrid, Spain.
Rozenn N LemaitreCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA;
Université de Lille · FRUniversity of Washington · USBrigham and Women's Hospital · USJean Mayer Human Nutrition Research Center on Aging · USNational Institute on Aging · USUniversity of Alabama at Birmingham · USUniversity of Minnesota · USInserm · FRTufts University · USUniversité de Bordeaux · FRUniversity of Virginia · USAzienda Sanitaria di Firenze · ITBoston University · USCedars-Sinai Medical Center · USHudsonAlpha Institute for Biotechnology · USMadrid Institute for Advanced Studies · ESNew York Academy of Medicine · USUniversity of New Mexico · USUniversity of St. Thomas - Texas · USVanderbilt University · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
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
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Epigenetic Determinants of Lipid Response to Dietary Fat and FenofibrateR01HL104135 · NHLBI · UNIVERSITY OF KENTUCKY · PI ARNETT, DONNA K · 2010 to 2015
$5.5M
Genome-wide study of sudden cardiac arrest in the communityR01HL092111 · NHLBI · UNIVERSITY OF WASHINGTON · PI SOTOODEHNIA, NONA · 2009 to 2011
$5.3M
The Aging Genome Association Study "AGE-GAIN"ZIAAG000965 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$4.0M
The Women's Health Study: Infrastructure Support for Continued Cohort Follow-upUM1CA182913 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 2014 to 2018
$4.0M
Epigenome-Wide Association Study of DNA Methylation and AtherosclerosisR01HL101250 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2009 to 2013
$3.6M
Genomics of Cardiac Electrical Activity and ArrhythmiaR01HL116747 · NHLBI · UNIVERSITY OF WASHINGTON · PI ARKING, DAN E, SOTOODEHNIA, NONA · 2013 to 2016
$2.8M
NCATS NIH HHS UL1 TR000124NCI NIH HHS UM1 CA182913NHLBI NIH HHS 1R01HL101250-01NHLBI NIH HHS 5R01HL1043135-04NHLBI NIH HHS 5RC2HL102419NHLBI NIH HHS HL092111NHLBI NIH HHS HL111089NHLBI NIH HHS HL116747NHLBI NIH HHS K08 HL112845NHLBI NIH HHS R01 HL092111NHLBI NIH HHS R01 HL104135NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL111089NHLBI NIH HHS R01 HL116747NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL072524NHLBI NIH HHS U01HL072524-04NIDDK NIH HHS P30 DK063491NINDS NIH HHS T32NS054584
6 · The paper itself

Abstract

backgroundDNA methylation is influenced by diet and single nucleotide polymorphisms (SNPs), and methylation modulates gene expression.

objectiveWe aimed to explore whether the gene-by-diet interactions on blood lipids act through DNA methylation.

designWe selected 7 SNPs on the basis of predicted relations in fatty acids, methylation, and lipids. We conducted a meta-analysis and a methylation and mediation analysis with the use of data from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium and the ENCODE (Encyclopedia of DNA Elements) consortium.

resultsOn the basis of the meta-analysis of 7 cohorts in the CHARGE consortium, higher plasma HDL cholesterol was associated with fewer C alleles at ATP-binding cassette subfamily A member 1 (ABCA1) rs2246293 (β = -0.6 mg/dL, P = 0.015) and higher circulating eicosapentaenoic acid (EPA) (β = 3.87 mg/dL, P = 5.62 × 10(21)). The difference in HDL cholesterol associated with higher circulating EPA was dependent on genotypes at rs2246293, and it was greater for each additional C allele (β = 1.69 mg/dL, P = 0.006). In the GOLDN (Genetics of Lipid Lowering Drugs and Diet Network) study, higher ABCA1 promoter cg14019050 methylation was associated with more C alleles at rs2246293 (β = 8.84%, P = 3.51 × 10(18)) and lower circulating EPA (β = -1.46%, P = 0.009), and the mean difference in methylation of cg14019050 that was associated with higher EPA was smaller with each additional C allele of rs2246293 (β = -2.83%, P = 0.007). Higher ABCA1 cg14019050 methylation was correlated with lower ABCA1 expression (r = -0.61, P = 0.009) in the ENCODE consortium and lower plasma HDL cholesterol in the GOLDN study (r = -0.12, P = 0.0002). An additional mediation analysis was meta-analyzed across the GOLDN study, Cardiovascular Health Study, and the Multi-Ethnic Study of Atherosclerosis. Compared with the model without the adjustment of cg14019050 methylation, the model with such adjustment provided smaller estimates of the mean plasma HDL cholesterol concentration in association with both the rs2246293 C allele and EPA and a smaller difference by rs2246293 genotypes in the EPA-associated HDL cholesterol. However, the differences between 2 nested models were NS (P > 0.05).

conclusionWe obtained little evidence that the gene-by-fatty acid interactions on blood lipids act through DNA methylation.

Indexed as

DNA MethylationEpigenesis, GeneticGene Expression RegulationPolymorphism, Single NucleotideApolipoproteins EATP Binding Cassette Transporter 1Cholesterol, HDLCohort StudiesDietEicosapentaenoic AcidFatty AcidsHumansLipidsPromoter Regions, GeneticTriglyceridesABCA1 protein, humanApolipoproteins EATP Binding Cassette Transporter 1Cholesterol, HDLEicosapentaenoic AcidFatty AcidsLipidsTriglyceridesDNA methylationepidemiologyfatty acidsgenetic variantsplasma lipids

Identifiers

PMID26791180
PMCPMC5260796
OpenAlexW2271606346

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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.