Genotype effects contribute to variation in longitudinal methylome patterns in older people

Abstract Background DNA methylation levels change along with age, but few studies have examined the variation in the rate of such changes between individuals. Methods We performed a longitudinal analysis to quantify the variation in the rate of change of DNA methylation between individuals using who...

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Main Authors: Qian Zhang, Riccardo E Marioni, Matthew R Robinson, Jon Higham, Duncan Sproul, Naomi R Wray, Ian J Deary, Allan F McRae, Peter M Visscher
Format: Article
Language:English
Published: BMC 2018-10-01
Series:Genome Medicine
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Online Access:http://link.springer.com/article/10.1186/s13073-018-0585-7
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author Qian Zhang
Riccardo E Marioni
Matthew R Robinson
Jon Higham
Duncan Sproul
Naomi R Wray
Ian J Deary
Allan F McRae
Peter M Visscher
author_facet Qian Zhang
Riccardo E Marioni
Matthew R Robinson
Jon Higham
Duncan Sproul
Naomi R Wray
Ian J Deary
Allan F McRae
Peter M Visscher
author_sort Qian Zhang
collection DOAJ
description Abstract Background DNA methylation levels change along with age, but few studies have examined the variation in the rate of such changes between individuals. Methods We performed a longitudinal analysis to quantify the variation in the rate of change of DNA methylation between individuals using whole blood DNA methylation array profiles collected at 2–4 time points (N = 2894) in 954 individuals (67–90 years). Results After stringent quality control, we identified 1507 DNA methylation CpG sites (rsCpGs) with statistically significant variation in the rate of change (random slope) of DNA methylation among individuals in a mixed linear model analysis. Genes in the vicinity of these rsCpGs were found to be enriched in Homeobox transcription factors and the Wnt signalling pathway, both of which are related to ageing processes. Furthermore, we investigated the SNP effect on the random slope. We found that 4 out of 1507 rsCpGs had one significant (P < 5 × 10−8/1507) SNP effect and 343 rsCpGs had at least one SNP effect (436 SNP-probe pairs) reaching genome-wide significance (P < 5 × 10−8). Ninety-five percent of the significant (P < 5 × 10−8) SNPs are on different chromosomes from their corresponding probes. Conclusions We identified CpG sites that have variability in the rate of change of DNA methylation between individuals, and our results suggest a genetic basis of this variation. Genes around these CpG sites have been reported to be involved in the ageing process.
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spelling doaj.art-ea06486f289a4bf1a79f156881c4cce92022-12-22T02:40:14ZengBMCGenome Medicine1756-994X2018-10-0110111110.1186/s13073-018-0585-7Genotype effects contribute to variation in longitudinal methylome patterns in older peopleQian Zhang0Riccardo E Marioni1Matthew R Robinson2Jon Higham3Duncan Sproul4Naomi R Wray5Ian J Deary6Allan F McRae7Peter M Visscher8Institute for Molecular Bioscience, The University of QueenslandCentre for Cognitive Ageing and Cognitive Epidemiology, University of EdinburghInstitute for Molecular Bioscience, The University of QueenslandMedical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of EdinburghMedical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of EdinburghInstitute for Molecular Bioscience, The University of QueenslandCentre for Cognitive Ageing and Cognitive Epidemiology, University of EdinburghInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandAbstract Background DNA methylation levels change along with age, but few studies have examined the variation in the rate of such changes between individuals. Methods We performed a longitudinal analysis to quantify the variation in the rate of change of DNA methylation between individuals using whole blood DNA methylation array profiles collected at 2–4 time points (N = 2894) in 954 individuals (67–90 years). Results After stringent quality control, we identified 1507 DNA methylation CpG sites (rsCpGs) with statistically significant variation in the rate of change (random slope) of DNA methylation among individuals in a mixed linear model analysis. Genes in the vicinity of these rsCpGs were found to be enriched in Homeobox transcription factors and the Wnt signalling pathway, both of which are related to ageing processes. Furthermore, we investigated the SNP effect on the random slope. We found that 4 out of 1507 rsCpGs had one significant (P < 5 × 10−8/1507) SNP effect and 343 rsCpGs had at least one SNP effect (436 SNP-probe pairs) reaching genome-wide significance (P < 5 × 10−8). Ninety-five percent of the significant (P < 5 × 10−8) SNPs are on different chromosomes from their corresponding probes. Conclusions We identified CpG sites that have variability in the rate of change of DNA methylation between individuals, and our results suggest a genetic basis of this variation. Genes around these CpG sites have been reported to be involved in the ageing process.http://link.springer.com/article/10.1186/s13073-018-0585-7DNA methylationLongitudinal analysisMethylation changeG by AGE
spellingShingle Qian Zhang
Riccardo E Marioni
Matthew R Robinson
Jon Higham
Duncan Sproul
Naomi R Wray
Ian J Deary
Allan F McRae
Peter M Visscher
Genotype effects contribute to variation in longitudinal methylome patterns in older people
Genome Medicine
DNA methylation
Longitudinal analysis
Methylation change
G by AGE
title Genotype effects contribute to variation in longitudinal methylome patterns in older people
title_full Genotype effects contribute to variation in longitudinal methylome patterns in older people
title_fullStr Genotype effects contribute to variation in longitudinal methylome patterns in older people
title_full_unstemmed Genotype effects contribute to variation in longitudinal methylome patterns in older people
title_short Genotype effects contribute to variation in longitudinal methylome patterns in older people
title_sort genotype effects contribute to variation in longitudinal methylome patterns in older people
topic DNA methylation
Longitudinal analysis
Methylation change
G by AGE
url http://link.springer.com/article/10.1186/s13073-018-0585-7
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