An application of a general branching process in the study of the genetics of aging

Peter Olofsson, Otto Schwalb, Ranajit Chakraborty, Marek Kimmel

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

A general branching process model is developed to analyse familial dependence in longevity data. A general formula for the survival function of a randomly chosen sibling of an individual of a specified age is derived. The branching process model takes into account that siblings' ages may be censored. This is applied to a data set consisting of lifelengths of siblings of centenarians. Age distributions used in the branching process model are estimated from US Census data from the relevant period. It is demonstrated that there is a marked difference in the survival function according to the formula assuming no familial effect and the empirical survival function estimated from the data; thus, indicating a strong familial component.

Original languageEnglish
Pages (from-to)547-557
Number of pages11
JournalJournal of Theoretical Biology
Volume213
Issue number4
DOIs
StatePublished - 21 Dec 2001

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