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Buyske S, Wu Y, Carty CL, Cheng I, Assimes TL, Dumitrescu L, Hindorff LA, Mitchell S, Ambite JLuis, Boerwinkle E, et al. Evaluation of the metabochip genotyping array in African Americans and implications for fine mapping of GWAS-identified loci: the PAGE study. PLoS One. 2012 ;7(4):e35651.

Ettinger WH, Harris T, Verdery RB, Tracy R, Kouba E. Evidence for inflammation as a cause of hypocholesterolemia in older people. J Am Geriatr Soc. 1995 ;43(3):264-6.

Seyerle AA, Young AM, Jeff JM, Melton PE, Jorgensen NW, Lin Y, Carty CL, Deelman E, Heckbert SR, Hindorff LA, et al. Evidence of heterogeneity by race/ethnicity in genetic determinants of QT interval. Epidemiology. 2014 ;25(6):790-8.

Pietropaolo M, Barinas-Mitchell E, Pietropaolo SL, Kuller LH, Trucco M. Evidence of islet cell autoimmunity in elderly patients with type 2 diabetes. Diabetes. 2000 ;49(1):32-8.

Tennessen JA, Bigham AW, O'Connor TD, Fu W, Kenny EE, Gravel S, McGee S, Do R, Liu X, Jun G, et al. Evolution and functional impact of rare coding variation from deep sequencing of human exomes. Science. 2012 ;337(6090):64-9.

Andrews RM, Shpitser I, Lopez O, Longstreth WT, Chaves PHM, Kuller L, Carlson MC. Examining the causal mediating role of brain pathology on the relationship between diabetes and cognitive impairment: the Cardiovascular Health Study. J R Stat Soc Ser A Stat Soc. 2020 ;183(4):1705-1726.

Siscovick DS, Fried L, Mittelmark M, Rutan G, Bild D, O'Leary DH. Exercise intensity and subclinical cardiovascular disease in the elderly. The Cardiovascular Health Study. Am J Epidemiol. 1997 ;145(11):977-86.

Jian X, Satizabal CL, Smith AV, Wittfeld K, Bis JC, Smith JA, Hsu F-C, Nho K, Hofer E, Hagenaars SP, et al. Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging. Stroke. 2018 .

Chami N, Chen M-H, Slater AJ, Eicher JD, Evangelou E, Tajuddin SM, Love-Gregory L, Kacprowski T, Schick UM, Nomura A, et al. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits. Am J Hum Genet. 2016 ;99(1):8-21.

Norton N, Li D, Rampersaud E, Morales A, Martin ER, Zuchner S, Guo S, Gonzalez M, Hedges DJ, Robertson PD, et al. Exome sequencing and genome-wide linkage analysis in 17 families illustrate the complex contribution of TTN truncating variants to dilated cardiomyopathy. Circ Cardiovasc Genet. 2013 ;6(2):144-53.

Do R, Stitziel NO, Won H-H, Jørgensen ABerg, Duga S, Merlini PAngelica, Kiezun A, Farrall M, Goel A, Zuk O, et al. Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction. Nature. 2015 ;518(7537):102-6.

Flannick J, Mercader JM, Fuchsberger C, Udler MS, Mahajan A, Wessel J, Teslovich TM, Caulkins L, Koesterer R, Barajas-Olmos F, et al. {Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. Nature. 2019 ;570:71–76.

Prins BP, Mead TJ, Brody JA, Sveinbjornsson G, Ntalla I, Bihlmeyer NA, van den Berg M, Bork-Jensen J, Cappellani S, Van Duijvenboden S, et al. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 2018 ;19(1):87.

Bihlmeyer NA, Brody JA, Smith AVernon, Warren HR, Lin H, Isaacs A, Liu C-T, Marten J, Radmanesh F, Hall LM, et al. ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals. Circ Genom Precis Med. 2018 ;11(1):e001758.

Spracklen CN, Karaderi T, Yaghootkar H, Schurmann C, Fine RS, Kutalik Z, Preuss MH, Lu Y, Wittemans LBL, Adair LS, et al. {Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology. Am J Hum Genet. 2019 ;105:670–671.

Spracklen CN, Karaderi T, Yaghootkar H, Schurmann C, Fine RS, Kutalik Z, Preuss MH, Lu Y, Wittemans LBL, Adair LS, et al. {Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology. Am J Hum Genet. 2019 ;105:15–28.

Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, Saleheen D, Emdin C, Alam D, Alves ACouto, et al. Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet. 2017 ;49(12):1758-1766.

Yan T, Escarce JJ, Liang L-J, Longstreth WT, Merkin SStein, Ovbiagele B, Vassar SD, Seeman T, Sarkisian C, Brown AF. Exploring psychosocial pathways between neighbourhood characteristics and stroke in older adults: the cardiovascular health study. Age Ageing. 2013 ;42(3):391-7.

DiMartino LD, Hammill BG, Curtis LH, Gottdiener JS, Manolio TA, Powe NR, Schulman KA. External validity of the cardiovascular health study: a comparison with the Medicare population. Med Care. 2009 ;47(8):916-23.

Nyquist PA, Bilgel MS, Gottesman R, Yanek LR, Moy TF, Becker LC, Cuzzocreo J, Prince J, Yousem DM, Becker DM, et al. Extreme deep white matter hyperintensity volumes are associated with African American race. Cerebrovasc Dis. 2014 ;37(4):244-50.

Cushman M, Rosendaal FR, Psaty BM, Cook EF, Valliere J, Kuller LH, Tracy RP. Factor V Leiden is not a risk factor for arterial vascular disease in the elderly: results from the Cardiovascular Health Study. Thromb Haemost. 1998 ;79(5):912-5.

Folsom AR, Cushman M, Heckbert SR, Ohira T, Rasmussen-Torvik L, Tsai MY. Factor VII coagulant activity, factor VII -670A/C and -402G/A polymorphisms, and risk of venous thromboembolism. J Thromb Haemost. 2007 ;5(8):1674-8.

Marriott RJ, Murray K, Adams RJ, Antonio L, Ballantyne CM, Bauer DC, Bhasin S, Biggs ML, Cawthon PM, Couper DJ, et al. Factors Associated With Circulating Sex Hormones in Men : Individual Participant Data Meta-analyses. Ann Intern Med. 2023 .

El-Saed A, Kuller LH, Newman AB, Lopez O, Costantino J, McTigue K, Cushman M, Kronmal R. Factors associated with geographic variations in stroke incidence among older populations in four US communities. Stroke. 2006 ;37(8):1980-5.

Burke GL, Arnold AM, Bild DE, Cushman M, Fried LP, Newman A, Nunn C, Robbins J. Factors associated with healthy aging: the cardiovascular health study. J Am Geriatr Soc. 2001 ;49(3):254-62.

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