Analysis of Swedish male breast cancer family data: a simple way to incorporate a common sibling effect

Genetic Epidemiology
P M KarunaratneJ Ranstam

Abstract

Based on a population-based cohort study, Olsson et al. [1993] found significant evidence for elevated incidence of breast and ovarian cancers among female first-degree relatives of men with breast cancer. Using an extension of logistic regressive models we investigate whether, after allowing for multifactorial familial correlations, single locus segregation could be the cause of the elevated incidence in these families. The logit for a given sib in the class D logistic regressive model depends on the order in which affected sibs occur in a sibship. That makes the model less appropriate for the situation where a polygenic component or a common sibling environment may be present, as well as being computationally cumbersome. In this paper, we propose to use the proportion of siblings in a sibship who are affected to quantify a sibling correlation. That not only relaxes the interchangeability problem but also makes the model computationally efficient. We then use this modified class D logistic regressive model for our segregation analysis. Using the proportion of siblings in a sibship who are affected as a covariate resulted in a significantly higher likelihoods in all the models we investigated. We found evidence for a dominant M...Continue Reading

Citations

Mar 15, 2002·Sleep & Breathing = Schlaf & Atmung·Sabine ScholleGerhard Zwacka
Dec 18, 2001·American Journal of Medical Genetics·Y ChenJ A Dosman
Apr 29, 1998·American Journal of Medical Genetics·P M Karunaratne, R C Elston
Jan 6, 2004·Birth Defects Research. Part A, Clinical and Molecular Teratology·Christine E CronkD Gail McCarver
Jul 9, 2004·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Susan M McKiernanDermot Kelleher
Mar 15, 2002·Sleep & Breathing = Schlaf & Atmung·Catharine J. HolbergStuart F. Quan

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