Blood DNA methylation age is not associated with cognitive functioning in middle-aged monozygotic twins

Neurobiology of Aging

Volumn 50, Issue , 2017, Pages 60-63

  Starnawska, A ^a,b   Tan, Q ^c,d   Lenart, A ^c   McGue, M ^c,e   Mors, O ^b,f   Borglum A D ^a,b   Christensen, K ^c,d   Nyegaard, M ^a,b   Christiansen, L ^c  

^a AARHUS UNIVERSITY   (Denmark)

^b Lundbeck Foundation Initiative for Integrative Psychiatric Research   (Denmark)

^c UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^d ODENSE UNIVERSITY HOSPITAL   (Denmark)

^e UNIVERSITY OF MINNESOTA   (United States)

^f AARHUS UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Cognition; Cross sectional; DNA methylation; Epigenetic clock; Longitudinal; Monozygotic twins; Whole blood

Indexed keywords

ADULT; AGE; AGE ACCELERATION; AGE DETERMINATION; ARTICLE; BLOOD LEVEL; COGNITION; CONTROLLED STUDY; DNA EXTRACTION; DNA METHYLATION; DNA METHYLATION AGE; FEMALE; FOLLOW UP; GENETIC ASSOCIATION; HANNUM METHOD; HORVATH METHOD; HUMAN; MALE; MIDDLE AGED; MOLECULAR CLOCK; MONOZYGOTIC TWINS; PRIORITY JOURNAL; AGING; CROSS-SECTIONAL STUDY; GENETIC EPIGENESIS; GENETICS; LONGITUDINAL STUDY; PHYSIOLOGY; TWINS;

AGING; COGNITION; CROSS-SECTIONAL STUDIES; DNA METHYLATION; EPIGENESIS, GENETIC; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; TWINS, MONOZYGOTIC;

EID: 84997470929     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2016.10.025     Document Type: Article

References (27)

1. Aryee, M.J., Jaffe, A.E., Corrada-Bravo, H., Ladd-Acosta, C., Feinberg, A.P., Hansen, K.D., Irizarry, R.A., Minfi: a flexible and comprehensive bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics 30 (2014), 1363–1369.
2. Bocklandt, S., Lin, W., Sehl, M.E., Sánchez, F.J., Sinsheimer, J.S., Horvath, S., Vilain, E., Epigenetic predictor of age. PLoS One, 6, 2011, e14821.
3. Christiansen, L., Frederiksen, H., Schousboe, K., Skytthe, A., von Wurmb-Schwark, N., Christensen, K., Kyvik, K., Age- and sex-differences in the validity of questionnaire-based zygosity in twins. Twin Res. 6 (2003), 275–278.
4. Christiansen, L., Lenart, A., Tan, Q., Vaupel, J.W., Aviv, A., McGue, M., Christensen, K., DNA methylation age is associated with mortality in a longitudinal Danish twin study. Aging Cell 15 (2016), 149–154.
5. Day, J.J., Sweatt, J.D., DNA methylation and memory formation. Nat. Neurosci. 13 (2010), 1319–1323.
6. Feng, J., Zhou, Y., Campbell, S.L., Le, T., Li, E., Sweatt, J.D., Silva, A.J., Fan, G., Dnmt1 and Dnmt3a maintain DNA methylation and regulate synaptic function in adult forebrain neurons. Nat. Neurosci. 13 (2010), 423–430.
7. Fortin, J.-P., Labbe, A., Lemire, M., Zanke, B.W., Hudson, T.J., Fertig, E.J., Greenwood, C., Hansen, K.D., Functional normalization of 450k methylation array data improves replication in large cancer studies. Genome Biol., 15, 2014, 503.
8. Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., Deconde, R., Chen, M., Rajapakse, I., Friend, S., Ideker, T., Zhang, K., Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol. Cell 49 (2013), 359–367.
9. Horvath, S., DNA methylation age of human tissues and cell types. Genome Biol., 14, 2013, R115.
10. Horvath, S., Mah, V., Lu, A.T., Woo, J.S., Choi, O.-W., Jasinska, A.J., Riancho, J.A., Tung, S., Coles, N.S., Braun, J., Vinters, H.V., Coles, L.S., The cerebellum ages slowly according to the epigenetic clock. Aging (Albany N. Y.) 7 (2015), 294–306.
11. Jones, M.J., Goodman, S.J., Kobor, M.S., DNA methylation and healthy human aging. Aging Cell 14 (2015), 924–932.
12. Jung, M., Pfeifer, G.P., Aging and DNA methylation. BMC Biol., 13, 2015, 7.
13. Levine, M.E., Lu, A.T., Bennett, D.A., Horvath, S., Epigenetic age of the pre-frontal cortex is associated with neuritic plaques, amyloid load, and Alzheimer's disease related cognitive functioning. Aging (Albany N. Y.) 7 (2015), 1198–1211.
14. Li, S., Wong, E.M., Joo, J.E., Jung, C.-H., Chung, J., Apicella, C., Stone, J., Dite, G.S., Giles, G.G., Southey, M.C., Hopper, J.L., Genetic and environmental causes of variation in the difference between biological age based on DNA methylation and chronological age for middle-aged women. Twin Res. Hum. Genet. 18 (2015), 720–726.
15. Marioni, R.E., Shah, S., McRae, A.F., Chen, B.H., Colicino, E., Harris, S.E., Gibson, J., Henders, A.K., Redmond, P., Cox, S.R., Pattie, A., Corley, J., Murphy, L., Martin, N.G., Montgomery, G.W., Feinberg, A.P., Fallin, M.D., Multhaup, M.L., Jaffe, A.E., Joehanes, R., Schwartz, J., Just, A.C., Lunetta, K.L., Murabito, J.M., Starr, J.M., Horvath, S., Baccarelli, A.A., Levy, D., Visscher, P.M., Wray, N.R., Deary, I.J., DNA methylation age of blood predicts all-cause mortality in later life. Genome Biol., 16, 2015, 25.
16. Marioni, R.E., Shah, S., McRae, A.F., Ritchie, S.J., Muniz-Terrera, G., Harris, S.E., Gibson, J., Redmond, P., Cox, S.R., Pattie, A., Corley, J., Taylor, A., Murphy, L., Starr, J.M., Horvath, S., Visscher, P.M., Wray, N.R., Deary, I.J., The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936. Int. J. Epidemiol. 44 (2015), 1388–1396.
17. Maunakea, A.K., Chepelev, I., Zhao, K., Epigenome mapping in normal and disease States. Circ. Res. 107 (2010), 327–339.
18. McGue, M., Christensen, K., The heritability of level and rate-of-change in cognitive functioning in Danish twins aged 70 years and older. Exp. Aging Res. 28 (2002), 435–451.
19. Miller, C.A., Campbell, S.L., Sweatt, J.D., DNA methylation and histone acetylation work in concert to regulate memory formation and synaptic plasticity. Neurobiol. Learn. Mem. 89 (2008), 599–603.
20. Murphy, T.M., Mill, J., Epigenetics in health and disease: heralding the EWAS era. Lancet 383 (2014), 1952–1954.
21. Osler, M., Madsen, M., Nybo Andersen, A.-M., Avlund, K., McGue, M., Jeune, B., Christensen, K., Do childhood and adult socioeconomic circumstances influence health and physical function in middle-age?. Soc. Sci. Med. 68 (2009), 1425–1431.
22. Sachs, G.A., Carter, R., Holtz, L.R., Smith, F., Stump, T.E., Tu, W., Callahan, C.M., Cognitive impairment: an independent predictor of excess mortality. Ann. Intern. Med. 155 (2011), 300–308.
23. van Iterson, M., Tobi, E.W., Slieker, R.C., den Hollander, W., Luijk, R., Slagboom, P.E., Heijmans, B.T., MethylAid: visual and interactive quality control of large Illumina 450k datasets. Bioinformatics 30 (2014), 3435–3437.
24. Weidner, C.I., Lin, Q., Koch, C.M., Eisele, L., Beier, F., Ziegler, P., Bauerschlag, D.O., Jöckel, K.-H., Erbel, R., Mühleisen, T.W., Zenke, M., Brümmendorf, T.H., Wagner, W., Aging of blood can be tracked by DNA methylation changes at just three CpG sites. Genome Biol., 15, 2014, R24.
25. Williams, K.N., Kemper, S., Interventions to reduce cognitive decline in aging. J. Psychosoc. Nurs. Ment. Health Serv. 48 (2010), 42–51.
26. Xu, X., DNA methylation and cognitive aging. Oncotarget 6 (2015), 13922–13932.
27. Yu, N.-K., Baek, S.H., Kaang, B.-K., DNA methylation-mediated control of learning and memory. Mol. Brain, 4, 2011, 5.