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Int J Obes (Lond). 2018 May 17. doi: 10.1038/s41366-018-0103-4. [Epub ahead of print]

Inference about causation between body mass index and DNA methylation in blood from a twin family study.

Author information

1
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
2
Genetic Epidemiology Laboratory, Department of Clinical Pathology, University of Melbourne, Parkville, VIC, Australia.
3
Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
4
Centre for Genetic Origins of Health and Disease, Curtin University and the University of Western Australia, Perth, WA, Australia.
5
Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.
6
Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia.
7
Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia.
8
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia. j.hopper@unimelb.edu.au.

Abstract

BACKGROUND:

Several studies have reported DNA methylation in blood to be associated with body mass index (BMI), but few have investigated causal aspects of the association. We used a twin family design to assess this association at two life points and applied a novel analytical approach to appraise the evidence for causality.

METHODS:

The methylation profile of DNA from peripheral blood was measured for 479 Australian women from 130 twin families. Linear regression was used to estimate the associations of DNA methylation at ~410,000 cytosine-guanine dinucleotides (CpGs), and of the average DNA methylation at ~20,000 genes, with current BMI, BMI at age 18-21 years, and the change between the two (BMI change). A novel regression-based methodology for twins, Inference about Causation through Examination of Familial Confounding (ICE FALCON), was used to assess causation.

RESULTS:

At a 5% false discovery rate, nine, six and 12 CpGs at 24 loci were associated with current BMI, BMI at age 18-21 years and BMI change, respectively. The average DNA methylation of the BHLHE40 and SOCS3 loci was associated with current BMI, and of the PHGDH locus with BMI change. From the ICE FALCON analyses with BMI as the predictor and DNA methylation as the outcome, a woman's DNA methylation level was associated with her co-twin's BMI, and the association disappeared after conditioning on her own BMI, consistent with BMI causing DNA methylation. To the contrary, using DNA methylation as the predictor and BMI as the outcome, a woman's BMI was not associated with her co-twin's DNA methylation level, consistent with DNA methylation not causing BMI.

CONCLUSION:

For middle-aged women, peripheral blood DNA methylation at several genomic locations is associated with current BMI, BMI at age 18-21 years and BMI change. Our study suggests that BMI has a causal effect on peripheral blood DNA methylation.

PMID:
29777239
DOI:
10.1038/s41366-018-0103-4

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