Epigenome-wide study identifies novel methylation loci associated with body mass index and waist circumference

Stella Aslibekyan(University of Alabama at Birmingham), Ellen W. Demerath(University of Minnesota), Michael Mendelson(Framingham Heart Study), Degui Zhi(University of Alabama at Birmingham), Weihua Guan(University of Minnesota), Liming Liang(National Institutes of Health), Jin Sha(University of Alabama at Birmingham), James S. Pankow(University of Minnesota), Chunyu Liu(Boston University), Marguerite R. Irvin(University of Alabama at Birmingham), Myriam Fornage(The University of Texas Health Science Center at Houston), Bertha Hidalgo(University of Alabama at Birmingham), Li‐An Lin(The University of Texas Health Science Center at Houston), Krista S. Thibeault(HudsonAlpha Institute for Biotechnology), Jan Bressler(The University of Texas Health Science Center at Houston), Michael Y. Tsai(University of Minnesota), Megan L. Grove(The University of Texas Health Science Center at Houston), Paul N. Hopkins(University of Utah), Eric Boerwinkle(Brown Foundation), Ingrid B. Borecki(Washington University in St. Louis), José M. Ordovás(Spanish National Centre for Cardiovascular Research), Daniel Levy(National Heart Lung and Blood Institute), Hemant K. Tiwari(University of Alabama at Birmingham), Devin Absher(HudsonAlpha Institute for Biotechnology), Donna K. Arnett(University of Alabama at Birmingham)
Obesity
June 25, 2015
Cited by 243Open Access
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Abstract

OBJECTIVE: To conduct an epigenome-wide analysis of DNA methylation and obesity traits. METHODS: DNA methylation was quantified in CD4+ T-cells using the Illumina Infinium HumanMethylation450 array in 991 participants of the Genetics of Lipid Lowering Drugs and Diet Network. Methylation at individual cytosine-phosphate-guanine (CpG) sites as a function of body mass index (BMI) and waist circumference (WC), adjusting for age, gender, study site, T-cell purity, smoking, and family structure, was modeled. RESULTS: Epigenome-wide significant associations between eight CpG sites and BMI and five CpG sites and WC, successfully replicating the top hits in whole blood samples from the Framingham Heart Study (n = 2,377) and the Atherosclerosis Risk in Communities study (n = 2,097), were found. Top findings were in CPT1A (meta-analysis P = 2.7 × 10(-43) for BMI and 9.9 × 10(-23) for WC), PHGDH (meta-analysis P = 2.0 × 10(-15) for BMI and 4.0 × 10(-9) for WC), CD38 (meta-analysis P = 6.3 × 10(-11) for BMI and 1.6 × 10(-12) for WC), and long intergenic non-coding RNA 00263 (meta-analysis P = 2.2 × 10(-16) for BMI and 8.9 × 10(-14) for WC), regions with biologically plausible relationships to adiposity. CONCLUSIONS: This large-scale epigenome-wide study discovered and replicated robust associations between DNA methylation at CpG loci and obesity indices, laying the groundwork for future diagnostic and/or therapeutic applications.


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