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

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Genotype effects contribute to variation in longitudinal methylome patterns in older people. / Zhang, Q.; Marioni, R.E.; Robinson, M.R. et al.
In: Genome Medicine, Vol. 10, 75, 22.10.2018.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Zhang, Q, Marioni, RE, Robinson, MR, Higham, J, Sproul, D, Wray, NR, Deary, IJ, McRae, AF & Visscher, PM 2018, 'Genotype effects contribute to variation in longitudinal methylome patterns in older people', Genome Medicine, vol. 10, 75. https://doi.org/10.1186/s13073-018-0585-7

APA

Zhang, Q., Marioni, R. E., Robinson, M. R., Higham, J., Sproul, D., Wray, N. R., Deary, I. J., McRae, A. F., & Visscher, P. M. (2018). Genotype effects contribute to variation in longitudinal methylome patterns in older people. Genome Medicine, 10, Article 75. https://doi.org/10.1186/s13073-018-0585-7

Vancouver

Zhang Q, Marioni RE, Robinson MR, Higham J, Sproul D, Wray NR et al. Genotype effects contribute to variation in longitudinal methylome patterns in older people. Genome Medicine. 2018 Oct 22;10:75. doi: 10.1186/s13073-018-0585-7

Author

Zhang, Q. ; Marioni, R.E. ; Robinson, M.R. et al. / Genotype effects contribute to variation in longitudinal methylome patterns in older people. In: Genome Medicine. 2018 ; Vol. 10.

Bibtex

@article{2116cd8aad3f4102b730adab9a183e70,
title = "Genotype effects contribute to variation in longitudinal methylome patterns in older people",
abstract = "BackgroundDNA methylation levels change along with age, but few studies have examined the variation in the rate of such changes between individuals.MethodsWe 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).ResultsAfter 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.ConclusionsWe 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.",
author = "Q. Zhang and R.E. Marioni and M.R. Robinson and J. Higham and D. Sproul and N.R. Wray and I.J. Deary and A.F. McRae and P.M. Visscher",
year = "2018",
month = oct,
day = "22",
doi = "10.1186/s13073-018-0585-7",
language = "English",
volume = "10",
journal = "Genome Medicine",

}

RIS

TY - JOUR

T1 - Genotype effects contribute to variation in longitudinal methylome patterns in older people

AU - Zhang, Q.

AU - Marioni, R.E.

AU - Robinson, M.R.

AU - Higham, J.

AU - Sproul, D.

AU - Wray, N.R.

AU - Deary, I.J.

AU - McRae, A.F.

AU - Visscher, P.M.

PY - 2018/10/22

Y1 - 2018/10/22

N2 - BackgroundDNA methylation levels change along with age, but few studies have examined the variation in the rate of such changes between individuals.MethodsWe 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).ResultsAfter 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.ConclusionsWe 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.

AB - BackgroundDNA methylation levels change along with age, but few studies have examined the variation in the rate of such changes between individuals.MethodsWe 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).ResultsAfter 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.ConclusionsWe 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.

U2 - 10.1186/s13073-018-0585-7

DO - 10.1186/s13073-018-0585-7

M3 - Journal article

VL - 10

JO - Genome Medicine

JF - Genome Medicine

M1 - 75

ER -