Dj. Ciske et al., SEGREGATION ANALYSIS OF BREAST-CANCER - A COMPARISON OF TYPE-DEPENDENT AGE-AT-ONSET VERSUS TYPE-DEPENDENT SUSCEPTIBILITY MODELS, Genetic epidemiology, 13(4), 1996, pp. 317-328
Most segregation analyses of breast cancer susceptibility have modeled
the effect of the major gene on the age-at-onset distribution. Howeve
r, in families linked to BRCA1 or BRCA2, there is wide variation in th
e age-at-onset among gene carriers. We performed a segregation analysi
s of 544 Minnesota breast cancer families using models which parameter
ized the putative major gene effect in two ways: earlier age-at-onset,
with a common level of susceptibility (model I), and greater suscepti
bility, with a common mean age-at-onset (model II). Five hypothetical
modes of transmission and an unrestricted general hypothesis were fitt
ed to the data. Twice the difference between the log, likelihood for t
he data under the specified hypothesis (recessive, no major gene, etc.
) and the log(e) Likelihood under the general hypothesis is distribute
d asymptotically as a chi-square statistic with the degrees of freedom
equal to the difference in the number of parameters estimated. This d
ifference was compared to the critical value for the chi-square distri
bution to assess goodness-of-fit. Under model I, both Mendelian and no
n-Mendelian hypotheses were rejected. When model II was used, the non-
Mendelian hypotheses were rejected whereas all Mendelian hypotheses we
re not. Mendelian recessive inheritance of a common allele (q(A) = 0.1
1) with a high penetrance (87%) provided the best fit to the data. We
then stratified the families into two subsets based on the age at diag
nosis of the proband [less than or equal to 55 years (n = 265) versus
>55 years (n = 279)]; there was no evidence of heterogeneity under eit
her model (I or II). These data suggest that, in some breast cancer fa
milies, the effect of the putative susceptibility gene is better repre
sented as increasing overall susceptibility to breast cancer rather th
an as a shift in the age-at-onset distribution. (C) 1996 Wiley-Liss, I
nc.