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Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies

BACKGROUND—: Genome-wide association studies have identified loci influencing circulating lipid concentrations in humans; further information on novel contributing genes, pathways, and biology may be gained through studies of epigenetic modifications. METHODS AND RESULTS—: To identify epigenetic cha...

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Autores principales: Hedman, Åsa K., Mendelson, Michael M., Marioni, Riccardo E., Gustafsson, Stefan, Joehanes, Roby, Irvin, Marguerite R., Zhi, Degui, Sandling, Johanna K., Yao, Chen, Liu, Chunyu, Liang, Liming, Huan, Tianxiao, McRae, Allan F., Demissie, Serkalem, Shah, Sonia, Starr, John M., Cupples, L. Adrienne, Deloukas, Panos, Spector, Timothy D., Sundström, Johan, Krauss, Ronald M., Arnett, Donna K., Deary, Ian J., Lind, Lars, Levy, Daniel, Ingelsson, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331877/
https://www.ncbi.nlm.nih.gov/pubmed/28213390
http://dx.doi.org/10.1161/CIRCGENETICS.116.001487
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author Hedman, Åsa K.
Mendelson, Michael M.
Marioni, Riccardo E.
Gustafsson, Stefan
Joehanes, Roby
Irvin, Marguerite R.
Zhi, Degui
Sandling, Johanna K.
Yao, Chen
Liu, Chunyu
Liang, Liming
Huan, Tianxiao
McRae, Allan F.
Demissie, Serkalem
Shah, Sonia
Starr, John M.
Cupples, L. Adrienne
Deloukas, Panos
Spector, Timothy D.
Sundström, Johan
Krauss, Ronald M.
Arnett, Donna K.
Deary, Ian J.
Lind, Lars
Levy, Daniel
Ingelsson, Erik
author_facet Hedman, Åsa K.
Mendelson, Michael M.
Marioni, Riccardo E.
Gustafsson, Stefan
Joehanes, Roby
Irvin, Marguerite R.
Zhi, Degui
Sandling, Johanna K.
Yao, Chen
Liu, Chunyu
Liang, Liming
Huan, Tianxiao
McRae, Allan F.
Demissie, Serkalem
Shah, Sonia
Starr, John M.
Cupples, L. Adrienne
Deloukas, Panos
Spector, Timothy D.
Sundström, Johan
Krauss, Ronald M.
Arnett, Donna K.
Deary, Ian J.
Lind, Lars
Levy, Daniel
Ingelsson, Erik
author_sort Hedman, Åsa K.
collection PubMed
description BACKGROUND—: Genome-wide association studies have identified loci influencing circulating lipid concentrations in humans; further information on novel contributing genes, pathways, and biology may be gained through studies of epigenetic modifications. METHODS AND RESULTS—: To identify epigenetic changes associated with lipid concentrations, we assayed genome-wide DNA methylation at cytosine–guanine dinucleotides (CpGs) in whole blood from 2306 individuals from 2 population-based cohorts, with replication of findings in 2025 additional individuals. We identified 193 CpGs associated with lipid levels in the discovery stage (P<1.08E-07) and replicated 33 (at Bonferroni-corrected P<0.05), including 25 novel CpGs not previously associated with lipids. Genes at lipid-associated CpGs were enriched in lipid and amino acid metabolism processes. A differentially methylated locus associated with triglycerides and high-density lipoprotein cholesterol (HDL-C; cg27243685; P=8.1E-26 and 9.3E-19) was associated with cis-expression of a reverse cholesterol transporter (ABCG1; P=7.2E-28) and incident cardiovascular disease events (hazard ratio per SD increment, 1.38; 95% confidence interval, 1.15–1.66; P=0.0007). We found significant cis-methylation quantitative trait loci at 64% of the 193 CpGs with an enrichment of signals from genome-wide association studies of lipid levels (P(TC)=0.004, P(HDL-C)=0.008 and P(triglycerides)=0.00003) and coronary heart disease (P=0.0007). For example, genome-wide significant variants associated with low-density lipoprotein cholesterol and coronary heart disease at APOB were cis-methylation quantitative trait loci for a low-density lipoprotein cholesterol–related differentially methylated locus. CONCLUSIONS—: We report novel associations of DNA methylation with lipid levels, describe epigenetic mechanisms related to previous genome-wide association studies discoveries, and provide evidence implicating epigenetic regulation of reverse cholesterol transport in blood in relation to occurrence of cardiovascular disease events.
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spelling pubmed-53318772017-03-08 Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies Hedman, Åsa K. Mendelson, Michael M. Marioni, Riccardo E. Gustafsson, Stefan Joehanes, Roby Irvin, Marguerite R. Zhi, Degui Sandling, Johanna K. Yao, Chen Liu, Chunyu Liang, Liming Huan, Tianxiao McRae, Allan F. Demissie, Serkalem Shah, Sonia Starr, John M. Cupples, L. Adrienne Deloukas, Panos Spector, Timothy D. Sundström, Johan Krauss, Ronald M. Arnett, Donna K. Deary, Ian J. Lind, Lars Levy, Daniel Ingelsson, Erik Circ Cardiovasc Genet Original Articles BACKGROUND—: Genome-wide association studies have identified loci influencing circulating lipid concentrations in humans; further information on novel contributing genes, pathways, and biology may be gained through studies of epigenetic modifications. METHODS AND RESULTS—: To identify epigenetic changes associated with lipid concentrations, we assayed genome-wide DNA methylation at cytosine–guanine dinucleotides (CpGs) in whole blood from 2306 individuals from 2 population-based cohorts, with replication of findings in 2025 additional individuals. We identified 193 CpGs associated with lipid levels in the discovery stage (P<1.08E-07) and replicated 33 (at Bonferroni-corrected P<0.05), including 25 novel CpGs not previously associated with lipids. Genes at lipid-associated CpGs were enriched in lipid and amino acid metabolism processes. A differentially methylated locus associated with triglycerides and high-density lipoprotein cholesterol (HDL-C; cg27243685; P=8.1E-26 and 9.3E-19) was associated with cis-expression of a reverse cholesterol transporter (ABCG1; P=7.2E-28) and incident cardiovascular disease events (hazard ratio per SD increment, 1.38; 95% confidence interval, 1.15–1.66; P=0.0007). We found significant cis-methylation quantitative trait loci at 64% of the 193 CpGs with an enrichment of signals from genome-wide association studies of lipid levels (P(TC)=0.004, P(HDL-C)=0.008 and P(triglycerides)=0.00003) and coronary heart disease (P=0.0007). For example, genome-wide significant variants associated with low-density lipoprotein cholesterol and coronary heart disease at APOB were cis-methylation quantitative trait loci for a low-density lipoprotein cholesterol–related differentially methylated locus. CONCLUSIONS—: We report novel associations of DNA methylation with lipid levels, describe epigenetic mechanisms related to previous genome-wide association studies discoveries, and provide evidence implicating epigenetic regulation of reverse cholesterol transport in blood in relation to occurrence of cardiovascular disease events. Lippincott Williams & Wilkins 2017-02 2017-02-20 /pmc/articles/PMC5331877/ /pubmed/28213390 http://dx.doi.org/10.1161/CIRCGENETICS.116.001487 Text en © 2017 The Authors. Circulation: Cardiovascular Genetics is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
spellingShingle Original Articles
Hedman, Åsa K.
Mendelson, Michael M.
Marioni, Riccardo E.
Gustafsson, Stefan
Joehanes, Roby
Irvin, Marguerite R.
Zhi, Degui
Sandling, Johanna K.
Yao, Chen
Liu, Chunyu
Liang, Liming
Huan, Tianxiao
McRae, Allan F.
Demissie, Serkalem
Shah, Sonia
Starr, John M.
Cupples, L. Adrienne
Deloukas, Panos
Spector, Timothy D.
Sundström, Johan
Krauss, Ronald M.
Arnett, Donna K.
Deary, Ian J.
Lind, Lars
Levy, Daniel
Ingelsson, Erik
Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
title Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
title_full Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
title_fullStr Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
title_full_unstemmed Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
title_short Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
title_sort epigenetic patterns in blood associated with lipid traits predict incident coronary heart disease events and are enriched for results from genome-wide association studies
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331877/
https://www.ncbi.nlm.nih.gov/pubmed/28213390
http://dx.doi.org/10.1161/CIRCGENETICS.116.001487
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