BACKGROUND: Longevity-associated genes may modulate risk for age-related diseases and survival. The Healthy Aging Index (HAI) may be a subphenotype of longevity, which can be constructed in many studies for genetic analysis. We investigated the HAI's association with survival in the Cardiovascular Health Study and heritability in the Long Life Family Study. METHODS: The HAI includes systolic blood pressure, pulmonary vital capacity, creatinine, fasting glucose, and Modified Mini-Mental Status Examination score, each scored 0, 1, or 2 using approximate tertiles and summed from 0 (healthy) to 10 (unhealthy). In Cardiovascular Health Study, the association with mortality and accuracy predicting death were determined with Cox proportional hazards analysis and c-statistics, respectively. In Long Life Family Study, heritability was determined with a variance component-based family analysis using a polygenic model. RESULTS: Cardiovascular Health Study participants with unhealthier index scores (7-10) had 2.62-fold (95% confidence interval: 2.22, 3.10) greater mortality than participants with healthier scores (0-2). The HAI alone predicted death moderately well (c-statistic = 0.643, 95% confidence interval: 0.626, 0.661, p < .0001) and slightly worse than age alone (c-statistic = 0.700, 95% confidence interval: 0.684, 0.717, p < .0001; p < .0001 for comparison of c-statistics). Prediction increased significantly with adjustment for demographics, health behaviors, and clinical comorbidities (c-statistic = 0.780, 95% confidence interval: 0.765, 0.794, p < .0001). In Long Life Family Study, the heritability of the HAI was 0.295 (p < .0001) overall, 0.387 (p < .0001) in probands, and 0.238 (p = .0004) in offspring. CONCLUSION: The HAI should be investigated further as a candidate phenotype for uncovering longevity-associated genes in humans.
BACKGROUND: Longevity-associated genes may modulate risk for age-related diseases and survival. The Healthy Aging Index (HAI) may be a subphenotype of longevity, which can be constructed in many studies for genetic analysis. We investigated the HAI's association with survival in the Cardiovascular Health Study and heritability in the Long Life Family Study. METHODS: The HAI includes systolic blood pressure, pulmonary vital capacity, creatinine, fasting glucose, and Modified Mini-Mental Status Examination score, each scored 0, 1, or 2 using approximate tertiles and summed from 0 (healthy) to 10 (unhealthy). In Cardiovascular Health Study, the association with mortality and accuracy predicting death were determined with Cox proportional hazards analysis and c-statistics, respectively. In Long Life Family Study, heritability was determined with a variance component-based family analysis using a polygenic model. RESULTS: Cardiovascular Health Study participants with unhealthier index scores (7-10) had 2.62-fold (95% confidence interval: 2.22, 3.10) greater mortality than participants with healthier scores (0-2). The HAI alone predicted death moderately well (c-statistic = 0.643, 95% confidence interval: 0.626, 0.661, p < .0001) and slightly worse than age alone (c-statistic = 0.700, 95% confidence interval: 0.684, 0.717, p < .0001; p < .0001 for comparison of c-statistics). Prediction increased significantly with adjustment for demographics, health behaviors, and clinical comorbidities (c-statistic = 0.780, 95% confidence interval: 0.765, 0.794, p < .0001). In Long Life Family Study, the heritability of the HAI was 0.295 (p < .0001) overall, 0.387 (p < .0001) in probands, and 0.238 (p = .0004) in offspring. CONCLUSION: The HAI should be investigated further as a candidate phenotype for uncovering longevity-associated genes in humans.
Authors: Jason L Sanders; Robert M Boudreau; Linda P Fried; Jeremy D Walston; Tamara B Harris; Anne B Newman Journal: J Am Geriatr Soc Date: 2011-08-24 Impact factor: 5.562
Authors: G W Waterer; J Y Wan; S B Kritchevsky; R G Wunderink; S Satterfield; D C Bauer; A B Newman; D R Taaffe; R L Jensen; R O Crapo Journal: J Am Geriatr Soc Date: 2001-08 Impact factor: 5.562
Authors: W T Longstreth; T A Manolio; A Arnold; G L Burke; N Bryan; C A Jungreis; P L Enright; D O'Leary; L Fried Journal: Stroke Date: 1996-08 Impact factor: 7.914
Authors: Paul L Enright; Mary Ann McBurnie; Vera Bittner; Russell P Tracy; Robert McNamara; Alice Arnold; Anne B Newman Journal: Chest Date: 2003-02 Impact factor: 9.410
Authors: Anne B Newman; Robert M Boudreau; Barbara L Naydeck; Linda F Fried; Tamara B Harris Journal: J Gerontol A Biol Sci Med Sci Date: 2008-06 Impact factor: 6.053
Authors: Anne B Newman; Catherine L Haggerty; Stephen B Kritchevsky; Michael C Nevitt; Eleanor M Simonsick Journal: J Gerontol A Biol Sci Med Sci Date: 2003-08 Impact factor: 6.053
Authors: Bruce M Psaty; Christopher J O'Donnell; Vilmundur Gudnason; Kathryn L Lunetta; Aaron R Folsom; Jerome I Rotter; André G Uitterlinden; Tamara B Harris; Jacqueline C M Witteman; Eric Boerwinkle Journal: Circ Cardiovasc Genet Date: 2009-02
Authors: Matthew D L O'Connell; Megan M Marron; Robert M Boudreau; Mark Canney; Jason L Sanders; Rose Anne Kenny; Stephen B Kritchevsky; Tamara B Harris; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2019-04-23 Impact factor: 6.053
Authors: Ryan L Minster; Jason L Sanders; Jatinder Singh; Candace M Kammerer; M Michael Barmada; Amy M Matteini; Qunyuan Zhang; Mary K Wojczynski; E Warwick Daw; Jennifer A Brody; Alice M Arnold; Kathryn L Lunetta; Joanne M Murabito; Kaare Christensen; Thomas T Perls; Michael A Province; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2015-03-10 Impact factor: 6.053
Authors: Megan M Marron; Mary K Wojczynski; Ryan L Minster; Robert M Boudreau; Paola Sebastiani; Stephanie Cosentino; Bharat Thyagarajan; Svetlana V Ukraintseva; Nicole Schupf; Kaare Christensen; Mary Feitosa; Thomas Perls; Joseph M Zmuda; Anne B Newman Journal: Geroscience Date: 2019-07-22 Impact factor: 7.713
Authors: Lauren N Shaver; Daniel P Beavers; Jessica Kiel; Stephen B Kritchevsky; Kristen M Beavers Journal: J Gerontol A Biol Sci Med Sci Date: 2019-07-12 Impact factor: 6.053
Authors: Daniel W Belsky; Terrie E Moffitt; Alan A Cohen; David L Corcoran; Morgan E Levine; Joseph A Prinz; Jonathan Schaefer; Karen Sugden; Benjamin Williams; Richie Poulton; Avshalom Caspi Journal: Am J Epidemiol Date: 2018-06-01 Impact factor: 4.897
Authors: Arlene S Ash; Aimee R Kroll-Desrosiers; David C Hoaglin; Kaare Christensen; Hua Fang; Thomas T Perls Journal: J Gerontol A Biol Sci Med Sci Date: 2015-03-05 Impact factor: 6.053
Authors: Megan M Marron; Jatinder Singh; Robert M Boudreau; Kaare Christensen; Stephanie Cosentino; Mary F Feitosa; Ryan L Minster; Thomas Perls; Nicole Schupf; Paola Sebastiani; Svetlana Ukraintseva; Mary K Wojczynski; Anne B Newman Journal: J Hypertens Date: 2018-01 Impact factor: 4.844
Authors: Jason L Sanders; Alice M Arnold; Robert M Boudreau; Calvin H Hirsch; Jorge R Kizer; Robert C Kaplan; Anne R Cappola; Mary Cushman; Mini E Jacob; Stephen B Kritchevsky; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2019-01-01 Impact factor: 6.053
Authors: Ashish Yeri; Rachel A Murphy; Megan M Marron; Clary Clish; Tamara B Harris; Gregory D Lewis; Anne B Newman; Venkatesh L Murthy; Ravi V Shah Journal: J Gerontol A Biol Sci Med Sci Date: 2019-01-01 Impact factor: 6.053
Authors: Alyson M Cavanaugh; Andrea Z LaCroix; Donna Kritz-Silverstein; Eileen Rillamas-Sun; Dena E Rifkin Journal: J Am Geriatr Soc Date: 2016-09-21 Impact factor: 5.562