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Bis JC, Kavousi M, Franceschini N, Isaacs A, Abecasis GR, Schminke U, Post WS, Smith AV, Cupples AL, Markus HS, et al. Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque. Nat Genet. 2011 ;43(10):940-7.

Carty CL, Keene KL, Cheng Y-C, Meschia JF, Chen W-M, Nalls M, Bis JC, Kittner SJ, Rich SS, Tajuddin S, et al. Meta-Analysis of Genome-Wide Association Studies Identifies Genetic Risk Factors for Stroke in African Americans. Stroke. 2015 ;46(8):2063-8.

Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, Wojczynski MK, Biggs ML, van der Spek A, Atzmon G, et al. {A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun. 2019 ;10:3669.

Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, Wojczynski MK, Biggs ML, van der Spek A, Atzmon G, et al. {A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun. 2019 ;10:3669.

O'Seaghdha CM, Wu H, Yang Q, Kapur K, Guessous I, Zuber AMercier, Köttgen A, Stoudmann C, Teumer A, Kutalik Z, et al. Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations. PLoS Genet. 2013 ;9(9):e1003796.

Dehghan A, Dupuis J, Barbalic M, Bis JC, Eiriksdottir G, Lu C, Pellikka N, Wallaschofski H, Kettunen J, Henneman P, et al. Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels. Circulation. 2011 ;123(7):731-8.

C Y Ng M, Shriner D, Chen BH, Li J, Chen W-M, Guo X, Liu J, Bielinski SJ, Yanek LR, Nalls MA, et al. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. PLoS Genet. 2014 ;10(8):e1004517.

Postmus I, Warren HR, Trompet S, Arsenault BJ, Avery CL, Bis JC, Chasman DI, de Keyser CE, Deshmukh HA, Evans DS, et al. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins. J Med Genet. 2016 ;53(12):835-845.

Hsu YH, Estrada K, Evangelou E, Ackert-Bicknell C, Akesson K, Beck T, Brown SJ, Capellini T, Carbone L, Cauley J, et al. {Meta-Analysis of Genomewide Association Studies Reveals Genetic Variants for Hip Bone Geometry. J Bone Miner Res. 2019 ;34:1284–1296.

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.

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