Evidence map›Paper›PMID 29566149›Full record

ArticleHuman molecular genetics2018

Epigenome-wide association in adipose tissue from the METSIM cohort.

Luz D Orozco, Colin Farrell, Christopher Hale, Liudmilla Rubbi, Arturo Rinaldi, Mete Civelek, Calvin Pan, Larry Lam, Dennis Montoya, Chantle Edillor and 8 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Cross-Study Meta-Analysis of Blood Transcriptomes in Type 2 Diabetes.International journal of molecular sciences · 2025
    Pooled it
  2. Pooled it
  3. Review
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  12. Review
  13. Aging and obesity prime the methylome and transcriptome of adipose stem cells for disease and dysfunction.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. DNA Methylation and Type 2 Diabetes: Novel Biomarkers for Risk Assessment?International journal of molecular sciences · 2021
    Review
  18. Article
  19. Clinical epigenomics for cardiovascular disease: Diagnostics and therapies.Journal of molecular and cellular cardiology · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 2 countries.

Luz D OrozcoDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
Colin FarrellDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
Christopher HaleDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
Liudmilla RubbiDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
Arturo RinaldiDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
Mete CivelekDepartments of Human Genetics, Medicine, and Microbiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
Calvin PanDepartments of Human Genetics, Medicine, and Microbiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
Larry LamDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
Dennis MontoyaDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
Chantle EdillorDepartments of Human Genetics, Medicine, and Microbiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
Marcus SeldinDepartments of Human Genetics, Medicine, and Microbiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Karen L MohlkeDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
Steve JacobsenDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
Johanna KuusistoInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Puijonlaaksontie 2, 70210 Kuopio, Finland.
Markku LaaksoInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Puijonlaaksontie 2, 70210 Kuopio, Finland.
Aldons J LusisDepartments of Human Genetics, Medicine, and Microbiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
Matteo PellegriniDepartment of Molecular, Cell and Developmental Biology, University of California Los Angeles.
University of California, Los Angeles · USHoward Hughes Medical Institute · USKuopio University Hospital · FIUniversity of Eastern Finland · FIUniversity of Michigan–Ann Arbor · USUniversity of North Carolina at Chapel Hill · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FOGELMAN, ALAN M · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUE, KAREN · 1985 to 2019
$50.2M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Pharmacogenomics of Statin TherapyP50GM115318 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RISCH, NEIL J. · 2015 to 2019
$14.0M
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
Genetic epidemiology of rare and regulatory variants for metabolic traitsR01DK093757 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2011 to 2026
$8.2M
Regenerative Musculoskeletal Medicine Training ProgramT32AR059033 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI John S Adams, Nicholas M. Bernthal · 2011 to 2026
$4.8M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA016042NCI NIH HHS P50 CA211015NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NIAMS NIH HHS T32 AR059033NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01 DK093757NIDDK NIH HHS U01 DK062370NIGMS NIH HHS P50 GM115318
6 · The paper itself

Abstract

Most epigenome-wide association studies to date have been conducted in blood. However, metabolic syndrome is mediated by a dysregulation of adiposity and therefore it is critical to study adipose tissue in order to understand the effects of this syndrome on epigenomes. To determine if natural variation in DNA methylation was associated with metabolic syndrome traits, we profiled global methylation levels in subcutaneous abdominal adipose tissue. We measured association between 32 clinical traits related to diabetes and obesity in 201 people from the Metabolic Syndrome in Men cohort. We performed epigenome-wide association studies between DNA methylation levels and traits, and identified associations for 13 clinical traits in 21 loci. We prioritized candidate genes in these loci using expression quantitative trait loci, and identified 18 high confidence candidate genes, including known and novel genes associated with diabetes and obesity traits. Using methylation deconvolution, we examined which cell types may be mediating the associations, and concluded that most of the loci we identified were specific to adipocytes. We determined whether the abundance of cell types varies with metabolic traits, and found that macrophages increased in abundance with the severity of metabolic syndrome traits. Finally, we developed a DNA methylation-based biomarker to assess type 2 diabetes risk in adipose tissue. In conclusion, our results demonstrate that profiling DNA methylation in adipose tissue is a powerful tool for understanding the molecular effects of metabolic syndrome on adipose tissue, and can be used in conjunction with traditional genetic analyses to further characterize this disorder.

Indexed as

Epigenesis, GeneticAdipose TissueAdultAgedBiopsyBody Mass IndexCpG IslandsDNA MethylationGene Expression RegulationGenome, HumanGenome-Wide Association StudyHumansMaleMetabolic SyndromeMiddle AgedObesity

Identifiers

PMID29566149
PMCPMC5932563
OpenAlexW2952339498

What OpenQuestion holds

Textmetadata
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.