title: Association of healthy aging with parental longevity.
abstract: Various measures incorporated in geriatric assessment have found their way into frailty indices (FIs), which have been used as indicators of survival/mortality and longevity. Our goal is to understand the genetic basis of healthy aging to enhance its evidence base and utility. We constructed a FI as a quantitative measure of healthy aging and examined its characteristics and potential for genetic analyses. Two groups were selected from two separate studies. One group (OLLP for offspring of long-lived parents) consisted of unrelated participants at least one of whose parents was age 90 or older, and the other group of unrelated participants (OSLP for offspring of short-lived parents), both of whose parents died before age 76. FI34 scores were computed from 34 common health variables and compared between the two groups. The FI34 was better correlated than chronological age with mortality. The mean FI34 value of the OSLP was 31 % higher than that of the OLLP (P = 0.0034). The FI34 increased exponentially, at an instantaneous rate that accelerated 2.0 % annually in the OLLP (P = 0.024) and 2.7 % in the OSLP (P < < 0.0001) consequently yielding a 63 % larger accumulation in the latter group (P = 0.0002). The results suggest that accumulation of health deficiencies over the life course is not the same in the two groups, likely due to inheritance related to parental longevity. Consistent with this, sib pairs were significantly correlated regarding FI34 scores, and heritability of the FI34 was estimated to be 0.39. Finally, hierarchical clustering suggests that the OLLP and OSLP differ in their aging patterns. Variation in the FI34 is, in part, due to genetic variation; thus, the FI34 can be a phenotypic measure suitable for genetic analyses of healthy aging.
authors.affiliation: Tulane Center for Aging and Department of Medicine, Tulane University Health Sciences Center, 1430 Tulane Ave., SL-12, New Orleans, LA, 70112, USA, skim5@tulane.edu.
authors.forename: Sangkyu
authors.initials: S
authors.lastname: Kim
authors.forename: David A
authors.initials: DA
authors.lastname: Welsh
authors.forename: Katie E
authors.initials: KE
authors.lastname: Cherry
authors.forename: Leann
authors.initials: L
authors.lastname: Myers
authors.forename: S Michal
authors.initials: SM
authors.lastname: Jazwinski
mesh_terms: D000203:Activities of Daily Living; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000235:genetics*; D005260:Female; D005838:Genotype; D015577:Geriatric Assessment / Q000706:statistics & numerical data*; D054624:Health Status Disparities; D006801:Humans; D008017:Life Expectancy / Q000639:trends; D008297:Male; D008875:Middle Aged; D010290:Parents; D012307:Risk Factors; D012959:Socioeconomic Factors; D016019:Survival Analysis; D055815:Young Adult