Cerebral white matter hyperintensities on MRI and acceleration of epigenetic aging: the atherosclerosis risk in communities study

Clinical Epigenetics

Volumn 9, Issue 1, 2017, Pages

  Raina, Abhay ^a   Zhao, Xiaoping ^a   Grove, Megan L ^b   Bressler, Jan ^b   Gottesman, Rebecca F ^c   Guan, Weihua ^d   Pankow, James S ^d   Boerwinkle, Eric ^b   Mosley, Thomas H ^e   Fornage, Myriam ^a,b  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF MINNESOTA   (United States)

^e UNIVERSITY OF MISSISSIPPI SCHOOL OF MEDICINE   (United States)

Author keywords

Aging; Cerebrovascular disease; DNA methylation; Epigenetic age acceleration; Epigenetic clock; White matter hyperintensities

Indexed keywords

GENOMIC DNA;

ADULT; AFRICAN AMERICAN; AGED; AGING; ARTICLE; ATHEROSCLEROSIS; BLOOD CELL; BODY MASS; CELL COMPOSITION; CELL PROLIFERATION; COMMUNITY ASSESSMENT; DIABETES MELLITUS; DISEASE ASSOCIATION; DNA EXTRACTION; DNA METHYLATION; EPIGENETICS; FEMALE; GENE LOCUS; GENOME-WIDE ASSOCIATION STUDY; HEMOSTASIS; HISTONE METHYLATION; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PROTEIN DEGRADATION; RISK ASSESSMENT; SMOKING; SYSTOLIC BLOOD PRESSURE; WHITE MATTER; ALGORITHM; CROSS-SECTIONAL STUDY; DIAGNOSTIC IMAGING; ETHNOLOGY; GENETIC EPIGENESIS; GENETICS; PROCEDURES;

AFRICAN AMERICANS; AGED; AGING; ALGORITHMS; ATHEROSCLEROSIS; BODY MASS INDEX; CROSS-SECTIONAL STUDIES; DNA METHYLATION; EPIGENESIS, GENETIC; FEMALE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; WHITE MATTER;

EID: 85012146180     PISSN: 18687075     EISSN: 18687083     Source Type: Journal    
DOI: 10.1186/s13148-016-0302-6     Document Type: Article

References (25)

1. Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ. 2010;341:c3666.
2. de Leeuw FE, de Groot JC, Achten E, Oudkerk M, Ramos LM, et al. Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study. J Neurol Neurosurg Psychiatry. 2001;70:9.
3. Liao D, Cooper L, Cai J, Toole J, Bryan N, et al. The prevalence and severity of white matter lesions, their relationship with age, ethnicity, gender, and cardiovascular disease risk factors: the ARIC Study. Neuroepidemiology. 1997;16:149.
4. Longstreth Jr WT, Manolio TA, Arnold A, Burke GL, Bryan N, et al. Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study. Stroke. 1996;27:1274.
5. Jung M, Pfeifer GP. Aging and DNA methylation. BMC Biol. 2015;13:7.
6. Hannum G, Guinney J, Zhao L, Zhang L, Hughes G, et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol Cell. 2013;49:359.
7. Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 2013;14:R115.
8. Marioni RE, Shah S, McRae AF, Chen BH, Colicino E, et al. DNA methylation age of blood predicts all-cause mortality in later life. Genome Biol. 2015;16:25.
9. Marioni RE, Shah S, McRae AF, Ritchie SJ, Muniz-Terrera G, et al. The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936. Int J Epidemiol. 2015;44:1388.
10. The ARIC investigators. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 1989;129:687.
11. Bryan RN, Manolio TA, Schertz LD, Jungreis C, Poirier VC, et al. A method for using MR to evaluate the effects of cardiovascular disease on the brain: the Cardiovascular Health Study. Am J Neuroradiol. 1994;15:1625.
12. Manolio TA, Kronmal RA, Burke GL, Poirier V, O’Leary DH, et al. Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study. Stroke. 1994;25:318.
13. Demerath EW, Guan W, Grove ML, Aslibekyan S, Mendelson M, et al. Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci. Hum Mol Genet. 2015;24:4464.
14. Pidsley R, CC YW, Volta M, Lunnon K, Mill J, Schalkwyk LC. A data-driven approach to preprocessing Illumina 450K methylation array data. BMC Genomics. 2013;14:293.
15. Houseman EA, Molitor J, Marsit CJ. Reference-free cell mixture adjustments in analysis of DNA methylation data. Bioinformatics. 2014;30:1431.
16. Houseman EA, Accomando WP, Koestler DC, Christensen BC, Marsit CJ, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics. 2012;13:86.
17. Verhaaren BF, Debette S, Bis JC, Smith JA, Ikram MK, et al. Multiethnic genome-wide association study of cerebral white matter hyperintensities on MRI. Circ Cardiovasc Genet. 2015;8:398.
18. Teschendorff AE, Yang Z, Wong A, Pipinikas CP, Jiao Y, et al. Correlation of smoking-associated DNA methylation changes in buccal cells with DNA methylation changes in epithelial cancer. JAMA Oncol. 2015;1:476.
19. Bose M, Wu C, Pankow JS, Demerath EW, Bressler J, et al. Evaluation of microarray-based DNA methylation measurement using technical replicates: the Atherosclerosis Risk In Communities (ARIC) Study. BMC Bioinformatics. 2014;15:312.
20. Price ME, Cotton AM, Lam LL, Farre P, Emberly E, et al. Additional annotation enhances potential for biologically-relevant analysis of the Illumina Infinium HumanMethylation450 BeadChip array. Epigenetics Chromatin. 2013;6:4.
21. Naeem H, Wong NC, Chatterton Z, Hong MK, Pedersen JS, et al. Reducing the risk of false discovery enabling identification of biologically significant genome-wide methylation status using the HumanMethylation450 array. BMC Genomics. 2014;15:51.
22. Wikgren M, Karlsson T, Soderlund H, Nordin A, Roos G, et al. Shorter telomere length is linked to brain atrophy and white matter hyperintensities. Age Ageing. 2014;43:212.
23. Zhang Y, Zolov SN, Chow CY, Slutsky SG, Richardson SC, et al. Loss of Vac14, a regulator of the signaling lipid phosphatidylinositol 3,5-bisphosphate, results in neurodegeneration in mice. Proc Natl Acad Sci U S A. 2007;104:17518.
24. Ferguson CJ, Lenk GM, Meisler MH. Defective autophagy in neurons and astrocytes from mice deficient in PI(3,5)P2. Hum Mol Genet. 2009;18:4868.
25. Horvath S, Gurven M, Levine ME, Trumble BC, Kaplan H, et al. An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease. Genome Biol. 2016;17:171.