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Chen CTL, Liu C-T, Chen GK, Andrews JS, Arnold AM, Dreyfus J, Franceschini N, Garcia ME, Kerr KF, Li G, et al. Meta-analysis of loci associated with age at natural menopause in African-American women. Hum Mol Genet. 2014 ;23(12):3327-42.

Anon. Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits. Nat Genet. 2016 ;48(8):867-76.

Grams ME, Sang Y, Ballew SH, Gansevoort RT, Kimm H, Kovesdy CP, Naimark D, Oien C, Smith DH, Coresh J, et al. A Meta-analysis of the Association of Estimated GFR, Albuminuria, Age, Race, and Sex With Acute Kidney Injury. Am J Kidney Dis. 2015 ;66(4):591-601.

James MT, Grams ME, Woodward M, C Elley R, Green JA, Wheeler DC, de Jong P, Gansevoort RT, Levey AS, Warnock DG, et al. A Meta-analysis of the Association of Estimated GFR, Albuminuria, Diabetes Mellitus, and Hypertension With Acute Kidney Injury. Am J Kidney Dis. 2015 ;66(4):602-12.

Porcu E, Medici M, Pistis G, Volpato CB, Wilson SG, Cappola AR, Bos SD, Deelen J, Heijer Mden, Freathy RM, et al. A meta-analysis of thyroid-related traits reveals novel loci and gender-specific differences in the regulation of thyroid function. PLoS Genet. 2013 ;9(2):e1003266.

McGeechan K, Liew G, Macaskill P, Irwig L, Klein R, Klein BEK, Wang JJin, Mitchell P, Vingerling JR, Dejong PTVM, et al. Meta-analysis: retinal vessel caliber and risk for coronary heart disease. Ann Intern Med. 2009 ;151(6):404-13.

Gorski M, Jung B, Li Y, Matias-Garcia PR, Wuttke M, Coassin S, Thio CHL, Kleber ME, Winkler TW, Wanner V, et al. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int. 2020 .

Mukamal KJ, Siscovick DS, de Boer IH, Ix JH, Kizer JR, Djoussé L, Fitzpatrick AL, Tracy RP, Boyko EJ, Kahn SE, et al. Metabolic Clusters and Outcomes in Older Adults: The Cardiovascular Health Study. J Am Geriatr Soc. 2018 ;66(2):289-296.

McNeill AMarie, Katz R, Girman CJ, Rosamond WD, Wagenknecht LE, Barzilay JI, Tracy RP, Savage PJ, Jackson SA. Metabolic syndrome and cardiovascular disease in older people: The cardiovascular health study. J Am Geriatr Soc. 2006 ;54(9):1317-24.

Mozaffarian D, Kamineni A, Prineas RJ, Siscovick DS. Metabolic syndrome and mortality in older adults: the Cardiovascular Health Study. Arch Intern Med. 2008 ;168(9):969-78.

Garg PK, Biggs ML, Carnethon M, Ix JH, Criqui MH, Britton KA, Djoussé L, Sutton-Tyrrell K, Newman AB, Cushman M, et al. Metabolic syndrome and risk of incident peripheral artery disease: the cardiovascular health study. Hypertension. 2014 ;63(2):413-9.

Steffen LM, Cushman M, Peacock JM, Heckbert SR, Jacobs DR, Rosamond WD, Folsom AR. Metabolic syndrome and risk of venous thromboembolism: Longitudinal Investigation of Thromboembolism Etiology. J Thromb Haemost. 2009 ;7(5):746-51.

Suzuki T, Hirata K, Elkind MSV, Jin Z, Rundek T, Miyake Y, Boden-Albala B, Di Tullio MR, Sacco R, Homma S. Metabolic syndrome, endothelial dysfunction, and risk of cardiovascular events: the Northern Manhattan Study (NOMAS). Am Heart J. 2008 ;156(2):405-10.

Marron MM, Wendell SG, Boudreau RM, Clish CB, Santanasto AJ, Tseng GC, Zmuda JM, Newman AB. Metabolites Associated with Walking Ability Among the Oldest Old from the CHS All Stars Study. J Gerontol A Biol Sci Med Sci. 2020 ;75(12):2371-2378.

Bryan RN, Manolio TA, Schertz LD, Jungreis C, Poirier VC, Elster AD, Kronmal RA. A method for using MR to evaluate the effects of cardiovascular disease on the brain: the cardiovascular health study. AJNR Am J Neuroradiol. 1994 ;15(9):1625-33.

Diehr P, Johnson LLee, Patrick DL, Psaty B. Methods for incorporating death into health-related variables in longitudinal studies. J Clin Epidemiol. 2005 ;58(11):1115-24.

Redline S, Sanders MH, Lind BK, Quan SF, Iber C, Gottlieb DJ, Bonekat WH, Rapoport DM, Smith PL, Kiley JP. Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group. Sleep. 1998 ;21(7):759-67.

Psaty BM, Kuller LH, Bild D, Burke GL, Kittner SJ, Mittelmark M, Price TR, Rautaharju PM, Robbins J. Methods of assessing prevalent cardiovascular disease in the Cardiovascular Health Study. Ann Epidemiol. 1995 ;5(4):270-7.

Lundin JI, Peters U, Hu Y, Ammous F, Avery CL, Benjamin EJ, Bis JC, Brody JA, Carlson C, Cushman M, et al. Methylation patterns associated with C-reactive protein in racially and ethnically diverse populations. Epigenetics. 2024 ;19(1):2333668.

Kim DHyun, Grodstein F, Newman AB, Chaves PHM, Odden MC, Klein R, Sarnak MJ, Lipsitz LA. Microvascular and Macrovascular Abnormalities and Cognitive and Physical Function in Older Adults: Cardiovascular Health Study. J Am Geriatr Soc. 2015 ;63(9):1886-93.

Fitzpatrick AL, Kuller LH, Lopez OL, Diehr P, O'Meara ES, Longstreth WT, Luchsinger JA. Midlife and late-life obesity and the risk of dementia: cardiovascular health study. Arch Neurol. 2009 ;66(3):336-42.

Dai W, Lopez OL, Carmichael OT, Becker JT, Kuller LH, H Gach M. Mild cognitive impairment and alzheimer disease: patterns of altered cerebral blood flow at MR imaging. Radiology. 2009 ;250(3):856-66.

Robinson-Cohen C, Katz R, Hoofnagle AN, Cauley JA, Furberg CD, Robbins JA, Chen Z, Siscovick DS, de Boer IH, Kestenbaum B. Mineral metabolism markers and the long-term risk of hip fracture: the cardiovascular health study. J Clin Endocrinol Metab. 2011 ;96(7):2186-93.

Zhao D, Bartz TM, Sotoodehnia N, Post WS, Heckbert SR, Alonso A, Longchamps RJ, Castellani CA, Hong YS, Rotter JI, et al. {Mitochondrial DNA copy number and incident atrial fibrillation. BMC Med. 2020 ;18:246.

Castellani CA, Longchamps RJ, Sumpter JA, Newcomb CE, Lane JA, Grove ML, Bressler J, Brody JA, Floyd JS, Bartz TM, et al. Mitochondrial DNA copy number can influence mortality and cardiovascular disease via methylation of nuclear DNA CpGs. Genome Med. 2020 ;12(1):84.

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