Are objective measures of physical capability related to accelerated epigenetic age? Findings from a British birth cohort

BMJ Open

Volumn 7, Issue 10, 2017, Pages

  Simpkin, Andrew J ^a,e   Cooper, Rachel ^b   Howe, Laura D ^a   Relton, Caroline L ^a   Davey Smith, George ^a   Teschendorff, Andrew ^b,c,d   Widschwendter, Martin ^b   Wong, Andrew ^b   Kuh, Diana ^b   Hardy, Rebecca ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

^e NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

ALSPAC; DNA methylation; epigenetic age; NSHD; physical capability

Indexed keywords

ALCOHOL;

ADULT; AGE; AGING; ARTICLE; BODY EQUILIBRIUM; BODY MASS; CHEEK CELL; COHORT ANALYSIS; CONTROLLED STUDY; DNA METHYLATION; EPIGENETIC AGE; EPIGENETICS; FEMALE; GRIP STRENGTH; HUMAN; HUMAN CELL; HUMAN TISSUE; MIDDLE AGED; MORTALITY; MORTALITY RISK; PHYSICAL CAPACITY; SMOKING; SOCIAL STATUS; STANDING; CAUCASIAN; FITNESS; GENETICS; HAND STRENGTH; MOUTH MUCOSA; SOCIOECONOMICS; UNITED KINGDOM;

AGING; BODY MASS INDEX; COHORT STUDIES; DNA METHYLATION; EPIGENOMICS; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HAND STRENGTH; HUMANS; MIDDLE AGED; MOUTH MUCOSA; PHYSICAL FITNESS; POSTURAL BALANCE; SMOKING; SOCIOECONOMIC FACTORS; UNITED KINGDOM;

EID: 85032742523     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2017-016708     Document Type: Article

References (41)

1. Horvath S. DNA methylation age of human tissues and cell types. Genome Biol 2013;14:R115.
2. Hannum G, Guinney J, Zhao L, et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol Cell 2013;49:359-67.
3. Bocklandt S, Lin W, Sehl ME, et al. Epigenetic predictor of age. PLoS One 2011;6:e14821.
4. Jones MJ, Goodman SJ, Kobor MS. DNA methylation and healthy human aging. Aging Cell 2015;14:924-32.
5. Weidner CI, Lin Q, Koch CM, et al. Aging of blood can be tracked by DNA methylation changes at just three CpG sites. Genome Biol 2014;15:R24.
6. Zbie?-Piekarska R, Spólnicka M, Kupiec T, et al. Examination of DNA methylation status of the ELOVL2 marker may be useful for human age prediction in forensic science. Forensic Sci Int Genet 2015;14:161-7.
7. Horvath S, Erhart W, Brosch M, et al. Obesity accelerates epigenetic aging of human liver. Proc Natl Acad Sci U S A 2014;111:15538-43.
8. Horvath S, Garagnani P, Bacalini MG, et al. Accelerated epigenetic aging in Down syndrome. Aging Cell 2015;14:491-5.
9. Horvath S, Levine AJ. HIV-1 infection accelerates age according to the epigenetic clock. J Infect Dis 2015;212:1563-73.
10. Levine ME, AT L, Chen BH, et al, 2016. Menopause accelerates biological aging. Proceedings of the National Academy of Sciences 201604558
11. Marioni RE, Shah S, McRae AF, et al. DNA methylation age of blood predicts all-cause mortality in later life. Genome Biol 2015;16:25.
12. Chen BH, Marioni RE, Colicino E, et al. DNA methylation-based measures of biological age: meta-analysis predicting time to death. Aging 2016;8:1844-65.
13. Cooper R, Kuh D, Hardy R. Mortality Review GroupFALCon and HALCyon Study Teams. Objectively measured physical capability levels and mortality: systematic review and meta-analysis. BMJ 2010;341:c4467.
14. Cooper R, Strand BH, Hardy R, et al. Physical capability in mid-life and survival over 13 years of follow-up: British birth cohort study. BMJ 2014;348:g2219.
15. Wadsworth M, Kuh D, Richards M, et al. Cohort Profile: The 1946 National Birth Cohort (MRC National Survey of Health and Development). Int J Epidemiol 2006;35:49-54.
16. Kuh D, Pierce M, Adams J, et al. Cohort profile: updating the cohort profile for the MRC National Survey of Health and Development: A new clinic-based data collection for ageing research. Int J Epidemiol 2011;40:e1-e9.
17. Marioni RE, Shah S, McRae AF, et al. The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936. Int J Epidemiol 2015;44:dyu277.
18. Starnawska A, Tan Q, Lenart A, et al. Blood DNA methylation age is not associated with cognitive functioning in middle-aged monozygotic twins. Neurobiol Aging 2017;50:60-3.
19. Belsky DW, Moffitt TE, Cohen AA, et al. Telomere, epigenetic clock, and biomarker-composite quantifications of biological aging: Do they measure the same thing? bioRxiv 2016:071373.
20. Doll R, Peto R, Boreham J, et al. Mortality in relation to smoking: 50 years' observations on Male British doctors. BMJ 2004;328:1519.
21. Lawlor DA, Hart CL, Hole DJ, et al. Reverse causality and confounding and the associations of overweight and obesity with mortality. Obesity 2006;14:2294-304.
22. Davey Smith G, Hart C, Upton M, et al. Height and risk of death among men and women: Aetiological implications of associations with cardiorespiratory disease and cancer mortality. J Epidemiol Community Health 2000;54:97-103.
23. Smith GD, Hart C, Blane D, et al. Lifetime socioeconomic position and mortality: prospective observational study. BMJ 1997;314:547.
24. Rousseau K, Vinall LE, Butterworth SL, et al. MUC7 haplotype analysis: results from a longitudinal birth cohort support protective effect of the MUC75 allele on respiratory function. Ann Hum Genet 2006;70:417-27.
25. Teschendorff AE, Yang Z, Wong A, et al. Correlation of smokingassociated DNA methylation changes in Buccal cells With DNA methylation changes in epithelial cancer. JAMA Oncol 2015;1:476-85.
26. Anjum S, Fourkala EO, Zikan M, et al. A BRCA1-mutation associated DNA methylation signature in blood cells predicts sporadic breast cancer incidence and survival. Genome Med 2014;6:47.
27. Kuh D, Bassey EJ, Butterworth S, et al. Grip strength, postural control, and functional leg power in a representative cohort of British men and women: Associations with physical activity, health status, and socioeconomic conditions. J Gerontol A Biol Sci Med Sci 2005;60:224-31.
28. Aryee MJ, Jaffe AE, Corrada-Bravo H, et al. Minfi: A flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics 2014;30:1363-9.
29. Troyanskaya O, Cantor M, Sherlock G, et al. Missing value estimation methods for DNA microarrays. Bioinformatics 2001;17:520-5.
30. Maksimovic J, Gordon L, Oshlack A. SWAN: Subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips. Genome Biol 2012;13:R44.
31. Teschendorff AE, Marabita F, Lechner M, et al. A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinformatics 2013;29:189-96.
32. Houseman EA, Accomando WP, Koestler DC, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics 2012;13:86.
33. Fraser A, Macdonald-Wallis C, Tilling K, et al. Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort. Int J Epidemiol 2013;42:97-110.
34. Boyd A, Golding J, Macleod J, et al. Cohort Profile: The 'children of the 90s'-the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol 2013;42:dys064.
35. Relton CL, Gaunt T, McArdle W, et al. Data Resource Profile: Accessible Resource for Integrated Epigenomic Studies (ARIES). Int J Epidemiol 2015:dyv072.
36. Cooper R, Muniz-Terrera G, Kuh D. Associations of behavioural risk factors and health status with changes in physical capability over 10 years of follow-up: The MRC National Survey of Health and Development. BMJ Open 2016;6:e009962.
37. Simpkin AJ, Hemani G, Suderman M, et al. Prenatal and early life influences on epigenetic age in children: A study of mother-offspring pairs from two cohort studies. Hum Mol Genet 2016;25:ddv456.
38. Essex MJ, Boyce WT, Hertzman C, et al. Epigenetic vestiges of early developmental adversity: childhood stress exposure and DNA methylation in adolescence. Child Dev 2013;84:58-75.
39. Rakyan VK, Down TA, Maslau S, et al. Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains. Genome Res 2010;20:434-9.
40. Martino D, Loke YJ, Gordon L, et al. Longitudinal, genome-scale analysis of DNA methylation in twins from birth to 18 months of age reveals rapid epigenetic change in early life and pair-specific effects of discordance. Genome Biol 2013;14:R42.
41. Davies MN, Volta M, Pidsley R, et al. Functional annotation of the human brain methylome identifies tissue-specific epigenetic variation across brain and blood. Genome Biol 2012;13:R43.