Evidence map›Paper›PMID 40176173›Full record

ArticleClinical epigenetics2025

Methylome-wide association analyses of lipids and modifying effects of behavioral factors in diverse race and ethnicity participants.

Yao Hu, Jeff Haessler, Jessica I Lundin, Burcu F Darst, Eric A Whitsel, Megan Grove, Weihua Guan, Rui Xia, Mindy Szeto, Laura M Raffield and 27 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

37 authors.

Yao Hu *Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jeff Haessler *Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jessica I LundinDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Burcu F DarstDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Eric A WhitselDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Megan GroveSchool of Public Health, Human Genetics Center, University of Texas Health Sciences Center at Houston, Houston, TX, USA.
Weihua GuanDivision of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Rui XiaMcGovern Medical School, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Mindy SzetoDepartment of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
Laura M RaffieldDepartment of Genetics, University of North Carolina, Chapel Hill, NC, USA.
Scott RatliffDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Yuxuan WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Xuzhi WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Alison E FohnerCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
Megan T LynchDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Yesha M PatelDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
S Lani ParkPopulation Sciences in the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Huichun XuDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Braxton D MitchellDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Joshua C BisCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
Nona SotoodehniaCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
Jennifer A BrodyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
Bruce M PsatyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
Gina M PelosoDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Jerome I RotterDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Sharon L R KardiaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Alex P ReinerDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Leslie LangeDepartment of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
Myriam FornageSchool of Public Health, Human Genetics Center, University of Texas Health Sciences Center at Houston, Houston, TX, USA.
James S PankowDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Mariaelisa GraffDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Kari E NorthDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Ulrike PetersDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA. upeters@fredhutch.org.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
WOMEN'S HEALTH INITIATIVE - CLINICAL COORDINATING CENTER: TASK AREA B - LONG LIFE STUDY VISIT 2 LIMITED HOME VISIT75N92021D00001 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L. · 2021 to 2025
$52.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
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
National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center DK063491NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NCI NIH HHS U01 CA164973NCI NIH HHS U01CA164973NHGRI NIH HHS R01 HG010297NHGRI NIH HHS R01HG010297NHGRI NIH HHS U01HG007397NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00001, HHSN268201500003I, N01-HC-95159, 75N92020D00005, N01-HC-95160, 75N92020D00002, N01-HC-95161, 75N92020D00003, N01-HC-95162, 75N92020D00006, N01-HC-95163, 75N92020D00004, N01-HC-95164, 75N92020D00007, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, N01-HC-95169, UL1-TR-000040, UL1-TR-001079, UL1-TR-001420, UL1TR001881, DK063491, HL148610, and R01HL105756NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS 75N92021D00001NHLBI NIH HHS 75N92021D00002NHLBI NIH HHS 75N92021D00006NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS K08 HL116640NHLBI 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 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 R01 HL087652NHLBI NIH HHS R01 HL087660NHLBI NIH HHS R01 HL092111NHLBI NIH HHS R01 HL103612NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01HL105756, HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, R01AG023629, 75N92021D00006, U01HL080295, U01HL130114, K08HL116640, R01HL087652, R01HL092111, R01HL103612, R01HL111089, R01HL116747 and R01HL120393NHLBI NIH HHS R01 HL111089NHLBI NIH HHS R01 HL116747NHLBI NIH HHS R01 HL119443NHLBI NIH HHS R01 HL133221NHLBI NIH HHS R01 HL142302NHLBI NIH HHS RC1 HL100185NHLBI NIH HHS U01 HL054457NHLBI NIH HHS U01HL054457, RC1HL100185, R01HL087660, R01HL119443, R01HL133221NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIA NIH HHS R01 AG023629NIA NIH HHS R01AG023629NIDDK NIH HHS P30 DK063491NIH HHS 75N92021D00001, 75N92021D00002, 75N92021D00003, 75N92021D00004, 75N92021D00005, and S10OD028685NIH HHS 75N92022D00001NIH HHS S10 OD028685NIMHD NIH HHS HHSN268201800013INIMHD NIH HHS HHSN268201800013I, HHSN268201800014I, HHSN268201800015I, HHSN268201800010I, HHSN268201800011I, and HHSN268201800012IWHI NIH HHS 75N92021D00003WHI NIH HHS 75N92021D00004WHI NIH HHS 75N92021D00005
6 · The paper itself

Abstract

Circulating lipid concentrations are clinically associated with cardiometabolic diseases. The phenotypic variance explained by identified genetic variants remains limited, highlighting the importance of searching for additional factors beyond genetic sequence variants. DNA methylation has been linked to lipid concentrations in previous studies, although most of the studies harbored moderate sample sizes and exhibited underrepresentation of non-European ancestry populations. In addition, knowledge of nongenetic factors on lipid profiles is extremely limited. In the Population Architecture Using Genomics and Epidemiology (PAGE) Study, we performed methylome-wide association analysis on 9,561 participants from diverse race and ethnicity backgrounds for HDL-c, LDL-c, TC, and TG levels, and also tested interactions between smoking or alcohol intake and methylation in their association with lipid levels. We identified novel CpG sites at 16 loci (P < 1.18E-7) with successful replication on 3,215 participants. One additional novel locus was identified in the self-reported White participants (P = 4.66E-8). Although no additional CpG sites were identified in the genome-wide interaction analysis, 13 reported CpG sites showed significant heterogeneous association across smoking or alcohol intake strata. By mapping novel and reported CpG sites to genes, we identified enriched pathways directly linked to lipid metabolism as well as ones spanning various biological functions. These findings provide new insights into the regulation of lipid concentrations.

Indexed as

DNA MethylationGenome-Wide Association StudyLipidsAdultAgedAlcohol DrinkingCpG IslandsEthnicityFemaleHumansMaleMiddle AgedRacial GroupsSmokingWhite PeopleLipids

Identifiers

PMID40176173
PMCPMC11967142

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.