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A

Pawlikowska L, Hu D, Huntsman S, Sung A, Chu C, Chen J, Joyner AH, Schork NJ, Hsueh W-C, Reiner AP, et al. Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity. Aging Cell. 2009 ;8(4):460-72.

C

Kizer JR, Patel S, Ganz P, Newman AB, Bhasin S, Lee S-J, Cawthon PM, LeBrasseur N, Shah SJ, Psaty BM, et al. Circulating Growth Differentiation Factors 11 and 8, Their Antagonists Follistatin and Follistatin-like-3, and Risk of Heart Failure in Elders. J Gerontol A Biol Sci Med Sci. 2023 .

Hindorff LA, Rice KM, Lange LA, Diehr P, Halder I, Walston J, Kwok P, Ziv E, Nievergelt C, Cummings SR, et al. Common variants in the CRP gene in relation to longevity and cause-specific mortality in older adults: the Cardiovascular Health Study. Atherosclerosis. 2008 ;197(2):922-30.

Ben-Avraham D, Karasik D, Verghese J, Lunetta KL, Smith JA, Eicher JD, Vered R, Deelen J, Arnold AM, Buchman AS, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017 ;9(1):209-246.

D

Bansal N, Katz R, de Boer IH, Peralta CA, Fried LF, Siscovick DS, Rifkin DE, Hirsch C, Cummings SR, Harris TB, et al. Development and validation of a model to predict 5-year risk of death without ESRD among older adults with CKD. Clin J Am Soc Nephrol. 2015 ;10(3):363-71.

Karasik D, Zillikens CM, Hsu Y-H, Aghdassi A, Åkesson K, Amin N, Barroso I, Bennett DA, Bertram L, Bochud M, et al. Disentangling the genetics of lean mass. Am J Clin Nutr. 2019 ;109(2):276-287.

Bis JC, Sitlani C, Irvin R, Avery CL, Smith AVernon, Sun F, Evans DS, Musani SK, Li X, Trompet S, et al. Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium. PLoS One. 2015 ;10(10):e0140496.

G

Arking DE, Pulit SL, Crotti L, van der Harst P, Munroe PB, Koopmann TT, Sotoodehnia N, Rossin EJ, Morley M, Wang X, et al. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization. Nat Genet. 2014 ;46(8):826-36.

Amin N, Allebrandt KV, van der Spek A, Müller-Myhsok B, Hek K, Teder-Laving M, Hayward C, Esko T, van Mill JG, Mbarek H, et al. Genetic variants in RBFOX3 are associated with sleep latency. Eur J Hum Genet. 2016 ;24(10):1488-95.

Noordam R, Sitlani CM, Avery CL, Stewart JD, Gogarten SM, Wiggins KL, Trompet S, Warren HR, Sun F, Evans DS, et al. A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. J Med Genet. 2017 ;54(5):313-323.

Estrada K, Styrkarsdottir U, Evangelou E, Hsu Y-H, Duncan EL, Ntzani EE, Oei L, Albagha OME, Amin N, Kemp JP, et al. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture. Nat Genet. 2012 ;44(5):491-501.

Matteini AM, Tanaka T, Karasik D, Atzmon G, Chou W-C, Eicher JD, Johnson AD, Arnold AM, Callisaya ML, Davies G, et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016 ;15(5):792-800.

L

Zillikens CM, Demissie S, Hsu Y-H, Yerges-Armstrong LM, Chou W-C, Stolk L, Livshits G, Broer L, Johnson T, Koller DL, et al. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat Commun. 2017 ;8(1):80.

M

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.

P

Kent ST, Rosenson RS, Avery CL, Chen Y-derI, Correa A, Cummings SR, Cupples AL, Cushman M, Evans DS, Gudnason V, et al. PCSK9 Loss-of-Function Variants, Low-Density Lipoprotein Cholesterol, and Risk of Coronary Heart Disease and Stroke: Data From 9 Studies of Blacks and Whites. Circ Cardiovasc Genet. 2017 ;10(4):e001632.

Reiner AP, Ziv E, Lind DL, Nievergelt CM, Schork NJ, Cummings SR, Phong A, Burchard EG, Harris TB, Psaty BM, et al. Population structure, admixture, and aging-related phenotypes in African American adults: the Cardiovascular Health Study. Am J Hum Genet. 2005 ;76(3):463-77.

Q

Mandyam MC, Soliman EZ, Alonso A, Dewland TA, Heckbert SR, Vittinghoff E, Cummings SR, Ellinor PT, Chaitman BR, Stocke K, et al. The QT interval and risk of incident atrial fibrillation. Heart Rhythm. 2013 ;10(10):1562-8.

W

Cawthon PM, Patel SM, Kritchevsky SB, Newman AB, Santanasto A, Kiel DP, Travison TG, Lane N, Cummings SR, Orwoll ES, et al. What Cut-Point in Gait Speed Best Discriminates Community-Dwelling Older Adults With Mobility Complaints From Those Without? A Pooled Analysis From the Sarcopenia Definitions and Outcomes Consortium. J Gerontol A Biol Sci Med Sci. 2021 ;76(10):e321-e327.