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Genetic Markers Data in Survival Studies of Twins: The Results of a Simulation Study

Published online by Cambridge University Press:  21 February 2012

Alexander Z. Begun  and
Anatoli I. Yashin
Alexander Z. Begun*
Affiliation:
Universität der Bundeswehr Hamburg, Germany. [email protected]
Anatoli I. Yashin
Affiliation:
Center for Demographic Studies, Duke University, Durham, North Carolina, United States of America.
*
*Address for correspondence: Alexander Begun, Universität der Bundeswehr Hamburg, Fachbereich WOW, 22039 Hamburg, Germany.

Abstract

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Previous longevity studies of related individuals such as twins or siblings based on the major gene model have shown that the frequency and the relative risk of mortality of a beneficial allele in the population could be estimated. If, in addition to survival data for related individuals, the genetic markers data are available, one could try to locate the longevity allele in the genome. In the case where the phenotypic trait is life span or age at onset of disease, a two-step procedure can be used. First, the parameters of bivariate survival functions must be estimated from bivariate survival data for twins without markers. The second step is focused on determining the position of longevity genes between respective markers. To calculate the joint distribution of inheritance vector and genetic markers, the hidden Markov chain technique is used. This approach is illustrated with a simulation example for one longevity gene.

Type
Articles
Information
Twin Research and Human Genetics , Volume 8 , Issue 1 , 01 February 2005 , pp. 34 - 38
Copyright
Copyright © Cambridge University Press 2005