“Predicting” parental longevity from offspring endophenotypes: Data from the Long Life Family Study (LLFS) |
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Authors: | Anatoli I. Yashin Konstantin G. Arbeev Ingrid Borecki Michael Barmada Winifred Rossi Rong Cheng |
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Affiliation: | a Duke University, Center for Population Health and Aging, Durham, NC 27708-0408, USA b Washington University School of Medicine, Division of Statistical Genomics, Department of Genetics, St. Louis, MO 63108, USA c The Danish Aging Research Center, University of Southern Denmark, 5000 Odense C, Denmark d University of Pittsburgh, Department of Human Genetics, Pittsburgh, PA 15261, USA e National Institute on Aging, Bethesda, MD 20892, USA f Columbia University, Mailman School of Public Health, New York, NY 10032, USA g University of Pennsylvania, Department of Sociology, Philadelphia, PA 19104-6298, USA |
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Abstract: | While there is evidence that longevity runs in families, the study of long-lived families is complicated by the fact that longevity-related information is available only for the oldest old, many of whom may be deceased and unavailable for testing, and information on other living family members, primarily descendents, is censored. This situation requires a creative approach for analyzing determinants of longevity in families. There are likely biomarkers that predict an individual's longevity, suggesting the possibility that those biomarkers which are heritable may constitute valuable endophenotypes for exceptional survival. These endophenotypes could be studied in families to identify human longevity genes and elucidate possible mechanisms of their influence on longevity. In this paper, we analyze data collected in the Long Life Family Study (LLFS) investigating whether indicators of physiological state, cognitive functioning and health/well-being among offspring predict longevity in parents. Good predictors can be used as endophenotypes for exceptional survival. Our analyses revealed significant associations between cumulative indices describing physiological state, as well as a number of offspring phenotypes, and parental lifespan, supporting both their familial basis and relevance to longevity. We conclude that the study of endophenotypes within families is a valid approach to the genetics of human longevity. |
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Keywords: | Determinants of life span Probands Incomplete data Longevity in families Genetics of human longevity |
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