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Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study

Although there are some epigenome-wide association studies (EWAS) of insulin resistance, for most of them authors did not replicate their findings, and most are focused on populations of European ancestry, limiting the generalizability. In the Epigenetics in Pregnancy (EPIPREG; n = 294 Europeans and...

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Autores principales: Fragoso-Bargas, Nicolas, Elliott, Hannah R., Lee-Ødegård, Sindre, Opsahl, Julia O., Sletner, Line, Jenum, Anne Karen, Drevon, Christian A., Qvigstad, Elisabeth, Moen, Gunn-Helen, Birkeland, Kåre I., Prasad, Rashmi B., Sommer, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935495/
https://www.ncbi.nlm.nih.gov/pubmed/36534481
http://dx.doi.org/10.2337/db22-0504
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author Fragoso-Bargas, Nicolas
Elliott, Hannah R.
Lee-Ødegård, Sindre
Opsahl, Julia O.
Sletner, Line
Jenum, Anne Karen
Drevon, Christian A.
Qvigstad, Elisabeth
Moen, Gunn-Helen
Birkeland, Kåre I.
Prasad, Rashmi B.
Sommer, Christine
author_facet Fragoso-Bargas, Nicolas
Elliott, Hannah R.
Lee-Ødegård, Sindre
Opsahl, Julia O.
Sletner, Line
Jenum, Anne Karen
Drevon, Christian A.
Qvigstad, Elisabeth
Moen, Gunn-Helen
Birkeland, Kåre I.
Prasad, Rashmi B.
Sommer, Christine
author_sort Fragoso-Bargas, Nicolas
collection PubMed
description Although there are some epigenome-wide association studies (EWAS) of insulin resistance, for most of them authors did not replicate their findings, and most are focused on populations of European ancestry, limiting the generalizability. In the Epigenetics in Pregnancy (EPIPREG; n = 294 Europeans and 162 South Asians) study, we conducted an EWAS of insulin resistance in maternal peripheral blood leukocytes, with replication in the Born in Bradford (n = 879; n = 430 Europeans and 449 South Asians), Methyl Epigenome Network Association (MENA) (n = 320), and Botnia (n = 56) cohorts. In EPIPREG, we identified six CpG sites inversely associated with insulin resistance across ancestry, of which five were replicated in independent cohorts (cg02988288, cg19693031, and cg26974062 in TXNIP; cg06690548 in SLC7A11; and cg04861640 in ZSCAN26). From methylation quantitative trait loci analysis in EPIPREG, we identified gene variants related to all five replicated cross-ancestry CpG sites, which were associated with several cardiometabolic phenotypes. Mediation analyses suggested that the gene variants regulate insulin resistance through DNA methylation. To conclude, our cross-ancestry EWAS identified five CpG sites related to lower insulin resistance.
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spelling pubmed-99354952023-02-18 Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study Fragoso-Bargas, Nicolas Elliott, Hannah R. Lee-Ødegård, Sindre Opsahl, Julia O. Sletner, Line Jenum, Anne Karen Drevon, Christian A. Qvigstad, Elisabeth Moen, Gunn-Helen Birkeland, Kåre I. Prasad, Rashmi B. Sommer, Christine Diabetes Genetics/Genomes/Proteomics/Metabolomics Although there are some epigenome-wide association studies (EWAS) of insulin resistance, for most of them authors did not replicate their findings, and most are focused on populations of European ancestry, limiting the generalizability. In the Epigenetics in Pregnancy (EPIPREG; n = 294 Europeans and 162 South Asians) study, we conducted an EWAS of insulin resistance in maternal peripheral blood leukocytes, with replication in the Born in Bradford (n = 879; n = 430 Europeans and 449 South Asians), Methyl Epigenome Network Association (MENA) (n = 320), and Botnia (n = 56) cohorts. In EPIPREG, we identified six CpG sites inversely associated with insulin resistance across ancestry, of which five were replicated in independent cohorts (cg02988288, cg19693031, and cg26974062 in TXNIP; cg06690548 in SLC7A11; and cg04861640 in ZSCAN26). From methylation quantitative trait loci analysis in EPIPREG, we identified gene variants related to all five replicated cross-ancestry CpG sites, which were associated with several cardiometabolic phenotypes. Mediation analyses suggested that the gene variants regulate insulin resistance through DNA methylation. To conclude, our cross-ancestry EWAS identified five CpG sites related to lower insulin resistance. American Diabetes Association 2023-03 2022-12-19 /pmc/articles/PMC9935495/ /pubmed/36534481 http://dx.doi.org/10.2337/db22-0504 Text en © 2023 by the American Diabetes Association https://www.diabetesjournals.org/journals/pages/licenseReaders may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license.
spellingShingle Genetics/Genomes/Proteomics/Metabolomics
Fragoso-Bargas, Nicolas
Elliott, Hannah R.
Lee-Ødegård, Sindre
Opsahl, Julia O.
Sletner, Line
Jenum, Anne Karen
Drevon, Christian A.
Qvigstad, Elisabeth
Moen, Gunn-Helen
Birkeland, Kåre I.
Prasad, Rashmi B.
Sommer, Christine
Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study
title Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study
title_full Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study
title_fullStr Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study
title_full_unstemmed Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study
title_short Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study
title_sort cross-ancestry dna methylation marks of insulin resistance in pregnancy: an integrative epigenome-wide association study
topic Genetics/Genomes/Proteomics/Metabolomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935495/
https://www.ncbi.nlm.nih.gov/pubmed/36534481
http://dx.doi.org/10.2337/db22-0504
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