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1000 Titel
  • Association between DNA Methylation in Whole Blood and Measures of Glucose Metabolism: KORA F4 Study
1000 Autor/in
  1. Kriebel, Jennifer |
  2. Herder, Christian |
  3. Rathmann, Wolfgang |
  4. Wahl, Simone |
  5. Kunze, Sonja |
  6. Molnos, Sophie |
  7. Volkova, Nadezda |
  8. Schramm, Katharina |
  9. Carstensen-Kirberg, Maren |
  10. Waldenberger, Melanie |
  11. Gieger, Christian |
  12. Peters, Annette |
  13. Illig, Thomas |
  14. Prokisch, Holger |
  15. Roden, Michael |
  16. Grallert, Harald |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-03-28
1000 Erschienen in
1000 Quellenangabe
  • 11(3):e0152314
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0152314 |
  • https://www.ncbi.nlm.nih.gov/pubmed/27019061 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809492/ |
1000 Ergänzendes Material
  • http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0152314#sec025 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Epigenetic regulation has been postulated to affect glucose metabolism, insulin sensitivity and the risk of type 2 diabetes. Therefore, we performed an epigenome-wide association study for measures of glucose metabolism in whole blood samples of the population-based Cooperative Health Research in the Region of Augsburg F4 study using the Illumina HumanMethylation 450 BeadChip. We identified a total of 31 CpG sites where methylation level was associated with measures of glucose metabolism after adjustment for age, sex, smoking, and estimated white blood cell proportions and correction for multiple testing using the Benjamini-Hochberg (B-H) method (four for fasting glucose, seven for fasting insulin, 25 for homeostasis model assessment-insulin resistance [HOMA-IR]; B-H-adjusted p-values between 9.2x10-5 and 0.047). In addition, DNA methylation at cg06500161 (annotated to ABCG1) was associated with all the aforementioned phenotypes and 2-hour glucose (B-H-adjusted p-values between 9.2x10-5 and 3.0x10-3). Methylation status of additional three CpG sites showed an association with fasting insulin only after additional adjustment for body mass index (BMI) (B-H-adjusted p-values = 0.047). Overall, effect strengths were reduced by around 30% after additional adjustment for BMI, suggesting that this variable has an influence on the investigated phenotypes. Furthermore, we found significant associations between methylation status of 21 of the aforementioned CpG sites and 2-hour insulin in a subset of samples with seven significant associations persisting after additional adjustment for BMI. In a subset of 533 participants, methylation of the CpG site cg06500161 (ABCG1) was inversely associated with ABCG1 gene expression (B-H-adjusted p-value = 1.5x10-9). Additionally, we observed an enrichment of the top 1,000 CpG sites for diabetes-related canonical pathways using Ingenuity Pathway Analysis. In conclusion, our study indicates that DNA methylation and diabetes-related traits are associated and that these associations are partially BMI-dependent. Furthermore, the interaction of ABCG1 with glucose metabolism is modulated by epigenetic processes.
1000 Sacherschließung
lokal Type 2 diabetes
lokal Glucose metabolism
lokal White blood cells
lokal Diabetes mellitus
lokal Glucose signaling
lokal Insulin
lokal Gene expression
lokal DNA methylation
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/S3JpZWJlbCwgSmVubmlmZXI=|http://orcid.org/0000-0002-2050-093X|http://d-nb.info/gnd/112013597|https://frl.publisso.de/adhoc/creator/V2FobCwgU2ltb25l|https://frl.publisso.de/adhoc/creator/S3VuemUsIFNvbmph|https://frl.publisso.de/adhoc/creator/TW9sbm9zLCBTb3BoaWU=|https://frl.publisso.de/adhoc/creator/Vm9sa292YSwgTmFkZXpkYQ==|https://frl.publisso.de/adhoc/creator/U2NocmFtbSwgS2F0aGFyaW5h|https://frl.publisso.de/adhoc/creator/Q2Fyc3RlbnNlbi1LaXJiZXJnLCBNYXJlbg==|https://frl.publisso.de/adhoc/creator/V2FsZGVuYmVyZ2VyLCBNZWxhbmll|https://frl.publisso.de/adhoc/creator/R2llZ2VyLCBDaHJpc3RpYW4=|https://frl.publisso.de/adhoc/creator/UGV0ZXJzLCBBbm5ldHRl|https://frl.publisso.de/adhoc/creator/SWxsaWcsIFRob21hcw==|https://frl.publisso.de/adhoc/creator/UHJva2lzY2gsIEhvbGdlcg==|http://d-nb.info/gnd/130812773|https://frl.publisso.de/adhoc/creator/R3JhbGxlcnQsIEhhcmFsZA==
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Helmholtz Zentrum München – German Research Center for Environmental Health |
  2. German Federal Ministry of Education and Research (BMBF) |
  3. State of Bavaria |
  4. Munich Center of Health Sciences (MC-Health) |
  5. Ludwig-Maximilians-Universität |
  6. Ministry of Science and Research of the State of North Rhine-Westphalia (MIWF NRW) |
  7. German Federal Ministry of Health (BMG) |
  8. German Research Foundation (DFG) |
  9. German Center for Diabetes Research (DZD e.V.) |
1000 Fördernummer
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  8. RA 459/3-1
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1000 Förderprogramm
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  5. LMUinnovativ
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1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Helmholtz Zentrum München – German Research Center for Environmental Health |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer German Federal Ministry of Education and Research (BMBF) |
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    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer State of Bavaria |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Munich Center of Health Sciences (MC-Health) |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Ludwig-Maximilians-Universität |
    1000 Förderprogramm LMUinnovativ
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Ministry of Science and Research of the State of North Rhine-Westphalia (MIWF NRW) |
    1000 Förderprogramm -
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer German Federal Ministry of Health (BMG) |
    1000 Förderprogramm -
    1000 Fördernummer -
  8. 1000 joinedFunding-child
    1000 Förderer German Research Foundation (DFG) |
    1000 Förderprogramm -
    1000 Fördernummer RA 459/3-1
  9. 1000 joinedFunding-child
    1000 Förderer German Center for Diabetes Research (DZD e.V.) |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2018-05-23T11:09:42.749+0200
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