Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
2017 (English)In: Circulation: Cardiovascular Genetics, ISSN 1942-325X, E-ISSN 1942-3268, Vol. 10, no 1, UNSP e001487Article in journal (Refereed) Published
Hedman, Åsa K.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab. Karolinska Inst, Dept Med Solna, Cardiovasc Med Unit, Stockholm, Sweden..
Mendelson, Michael M.
Framingham Heart Dis Epidemiol Study, Framingham, MA USA.;Boston Univ, Boston, MA 02215 USA.;Boston Childrens Hosp, Dept Cardiol, Boston, MA USA.;NHLBI, Populat Sci Branch, NIH, Bldg 10, Bethesda, MD 20892 USA..
Marioni, Riccardo E.
Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh EH8 9YL, Midlothian, Scotland.;Univ Edinburgh, Inst Genet & Mol Med, Ctr Genom & Expt Med, Med Genet Sect, Edinburgh EH8 9YL, Midlothian, Scotland.;Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
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 triglyceridesand 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, PHDL-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.
Place, publisher, year, edition, pages
LIPPINCOTT WILLIAMS & WILKINS , 2017. Vol. 10, no 1, UNSP e001487
cardiovascular diseases, DNA Methylation, epigenomics, gene expression, lipids
Cardiac and Cardiovascular Systems Medical Genetics
IdentifiersURN: urn:nbn:se:uu:diva-320506DOI: 10.1161/CIRCGENETICS.116.001487ISI: 000396862100004OAI: oai:DiVA.org:uu-320506DiVA: diva2:1089716
FunderNIH (National Institute of Health), N01-HC-25195 HHSN2682015000011 P30 DK46200 1R01DK106236-01A1 1R01HL135313-01 R01 HL104135-01Swedish Research Council, 2012-1397Swedish Heart Lung Foundation, 20120197Knut and Alice Wallenberg FoundationWellcome trustEU, FP7, Seventh Framework Programme