Methylome-wide association study of whole blood DNA in the Norfolk Island isolate identifies robust loci associated with age

被引:31
作者
Benton, Miles C. [1 ]
Sutherland, Heidi G. [1 ]
Macartney-Coxson, Donia [2 ]
Haupt, Larisa M. [1 ]
Lea, Rodney A. [1 ]
Griffiths, Lyn R. [1 ]
机构
[1] Queensland Univ Technol, Sch Biomed Sci, Inst Hlth & Biomed Innovat, Genom Res Ctr, Kelvin Grove, Qld 4059, Australia
[2] Inst Environm Sci & Res, Kenepuru Sci Ctr, Wellington 5240, New Zealand
来源
AGING-US | 2017年 / 9卷 / 03期
基金
英国医学研究理事会;
关键词
aging; DNA methylation; epigenetics; GLMnet; Norfolk Island; D-ASPARTATE OXIDASE; SINGLE CPG-SITE; METHYLATION AGE; CANDIDATE GENE; ADIPOSE-TISSUE; MYOFERLIN; RISK; CONTRIBUTES; PROMOTER; IMPACT;
D O I
10.18632/aging.101187
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Epigenetic regulation of various genomic functions, including gene expression, provide mechanisms whereby an organism can dynamically respond to changes in its environment and modify gene expression accordingly. One epigenetic mechanism implicated in human aging and age-related disorders is DNA methylation. Isolated populations such as Norfolk Island (NI) should be advantageous for the identification of epigenetic factors related to aging due to reduced genetic and environmental variation. Here we conducted a methylome-wide association study of age using whole blood DNA in 24 healthy female individuals from the NI genetic isolate (aged 24-47 years). We analysed 450K methylation array data using a machine learning approach (GLMnet) to identify age-associated CpGs. We identified 497 CpG sites, mapping to 422 genes, associated with age, with 11 sites previously associated with age. The strongest associations identified were for a single CpG site in MYOF and an extended region within the promoter of DDO. These hits were validated in curated public data from 2316 blood samples (MARMAL-AID). This study is the first to report robust age associations for MYOF and DDO, both of which have plausible functional roles in aging. This study also illustrates the value of genetic isolates to reveal new associations with epigenome-level data.
引用
收藏
页码:753 / 768
页数:16
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