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Hirsch CHayes, Bůzková P, Robbins JA, Patel KV, Newman AB. Predicting late-life disability and death by the rate of decline in physical performance measures. Age Ageing. 2012 ;41(2):155-61.

Hirsch C, Anderson ML, Newman A, Kop W, Jackson S, Gottdiener J, Tracy R, Fried LP. The association of race with frailty: the cardiovascular health study. Ann Epidemiol. 2006 ;16(7):545-53.

Hirsch CH, Fried LP, Harris T, Fitzpatrick A, Enright P, Schulz R. Correlates of performance-based measures of muscle function in the elderly: the Cardiovascular Health Study. J Gerontol A Biol Sci Med Sci. 1997 ;52(4):M192-200.

Hirsch CH, Diehr P, Newman AB, Gerrior SA, Pratt C, Lebowitz MD, Jackson SA. Physical activity and years of healthy life in older adults: results from the cardiovascular health study. J Aging Phys Act. 2010 ;18(3):313-34.

Ho AJ, Raji CA, Becker JT, Lopez OL, Kuller LH, Hua X, Lee S, Hibar D, Dinov ID, Stein JL, et al. Obesity is linked with lower brain volume in 700 AD and MCI patients. Neurobiol Aging. 2010 ;31(8):1326-39.

Ho JE, Enserro D, Brouwers FP, Kizer JR, Shah SJ, Psaty BM, Bartz TM, Santhanakrishnan R, Lee DS, Chan C, et al. Predicting Heart Failure With Preserved and Reduced Ejection Fraction: The International Collaboration on Heart Failure Subtypes. Circ Heart Fail. 2016 ;9(6).

Ho AJ, Raji CA, Becker JT, Lopez OL, Kuller LH, Hua X, Dinov ID, Stein JL, Rosano C, Toga AW, et al. The effects of physical activity, education, and body mass index on the aging brain. Hum Brain Mapp. 2011 ;32(9):1371-82.

Hoang K, Zhao Y, Gardin JM, Carnethon M, Mukamal K, Yanez D, Wong ND. LV Mass as a Predictor of CVD Events in Older Adults With and Without Metabolic Syndrome and Diabetes. JACC Cardiovasc Imaging. 2015 ;8(9):1007-15.

Hobbs BD, de Jong K, Lamontagne M, Bossé Y, Shrine N, Artigas MS, Wain LV, Hall IP, Jackson VE, Wyss AB, et al. Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis. Nat Genet. 2017 ;49(3):426-432.

Hodonsky CJo, Schurmann C, Schick UM, Kocarnik J, Tao R, van Rooij FJa, Wassel C, Buyske S, Fornage M, Hindorff LA, et al. Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study. Am J Hematol. 2018 .

Hoed Mden, Eijgelsheim M, Esko T, Brundel BJJM, Peal DS, Evans DM, Nolte IM, Segrè AV, Holm H, Handsaker RE, et al. Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nat Genet. 2013 ;45(6):621-31.

Hofer E, Cavalieri M, Bis JC, DeCarli C, Fornage M, Sigurdsson S, Srikanth V, Trompet S, Verhaaren BFJ, Wolf C, et al. White Matter Lesion Progression: Genome-Wide Search for Genetic Influences. Stroke. 2015 ;46(11):3048-57.

Hofer E, Roshchupkin GV, Adams HHH, Knol MJ, Lin H, Li S, Zare H, Ahmad S, Armstrong NJ, Satizabal CL, et al. {Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nat Commun. 2020 ;11:4796.

Holliday EG, Traylor M, Malik R, Bevan S, Falcone G, Hopewell JC, Cheng Y-C, Cotlarciuc I, Bis JC, Boerwinkle E, et al. Genetic overlap between diagnostic subtypes of ischemic stroke. Stroke. 2015 ;46(3):615-9.

Holliday EG, Smith AV, Cornes BK, Buitendijk GHS, Jensen RA, Sim X, Aspelund T, Aung T, Baird PN, Boerwinkle E, et al. Insights into the genetic architecture of early stage age-related macular degeneration: a genome-wide association study meta-analysis. PLoS One. 2013 ;8(1):e53830.

Holmes MV, Dale CE, Zuccolo L, Silverwood RJ, Guo Y, Ye Z, Prieto-Merino D, Dehghan A, Trompet S, Wong A, et al. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data. BMJ. 2014 ;349:g4164.

Holmes MV, Asselbergs FW, Palmer TM, Drenos F, Lanktree MB, Nelson CP, Dale CE, Padmanabhan S, Finan C, Swerdlow DI, et al. Mendelian randomization of blood lipids for coronary heart disease. Eur Heart J. 2015 ;36(9):539-50.

Holzinger ER, Verma SS, Moore CB, Hall M, De R, Gilbert-Diamond D, Lanktree MB, Pankratz N, Amuzu A, Burt A, et al. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 2017 ;10:25.

Hong J, Hatchell KE, Bradfield JP, Andrew B, Alessandra C, Chao-Qiang L, Langefeld CD, Lu L, Lu Y, Lutsey PL, et al. Trans-ethnic Evaluation Identifies Novel Low Frequency Loci Associated with 25-Hydroxyvitamin D Concentrations. J Clin Endocrinol Metab. 2018 .

Houston DK, Tooze JA, Davis CC, Chaves PHM, Hirsch CH, Robbins JA, Arnold AM, Newman AB, Kritchevsky SB. Serum 25-hydroxyvitamin D and physical function in older adults: the Cardiovascular Health Study All Stars. J Am Geriatr Soc. 2011 ;59(10):1793-801.

Howard G, Manolio TA, Burke GL, Wolfson SK, O'Leary DH. Does the association of risk factors and atherosclerosis change with age? An analysis of the combined ARIC and CHS cohorts. The Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health Study (CHS) investigators. Stroke. 1997 ;28(9):1693-701.

Hruby A, Ngwa JS, Renstrom F, Wojczynski MK, Ganna A, Hallmans G, Houston DK, Jacques PF, Kanoni S, Lehtimäki T, et al. Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies. J Nutr. 2013 ;143(3):345-53.

Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchel BD, Psaty BM, et al. Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores. medRxiv. 2023 .

Hsu Y-H, Li G, Liu C-T, Brody JA, Karasik D, Chou W-C, Demissie S, Nandakumar K, Zhou Y, Cheng C-H, et al. Targeted Sequencing of Genome Wide Significant Loci Associated with Bone Mineral Density (BMD) Reveals Significant Novel and Rare Variants: The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study. Hum Mol Genet. 2016 .

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.

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