Literature DB >> 15972604

Disentangling the genetic determinants of human aging: biological age as an alternative to the use of survival measures.

David Karasik1, Serkalem Demissie, L Adrienne Cupples, Douglas P Kiel.   

Abstract

The choice of a phenotype is critical for the study of a complex genetically regulated process, such as aging. To date, most of the twin and family studies have focused on broad survival measures, primarily age at death or exceptional longevity. However, on the basis of recent studies of twins and families, biological age has also been shown to have a strong genetic component, with heritability estimates ranging from 27% to 57%. The aim of this review is twofold: first, to summarize growing consensus on reliable methods of biological age assessment, and second, to demonstrate validity of this phenotype for research in the genetics of aging in humans.

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Year:  2005        PMID: 15972604      PMCID: PMC1361266          DOI: 10.1093/gerona/60.5.574

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  137 in total

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  51 in total

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7.  Health-related phenotypes and longevity in danish twins.

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8.  Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age?

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