Asthma is a complex disease, with an etiology that includes both genetic an
d environmental influences that may interact. The moderate heritability of
asthma has led researchers to investigate its molecular genetic basis using
both exploratory investigations of linkage via genome scans, as well as ta
rgeted studies of specific candidate genes. Promising candidate genes inclu
de the cytokine genes on chromosome 5q23-31. Both genome scans and associat
ion studies of these candidate genes/genomic regions have yielded mixed fin
dings, which raise the possibilities of a true relation that emerges more s
trongly in certain samples simply due to sampling variability, as well as o
f genetic heterogeneity. Metaanalytic approaches that combine data across s
amples and examine how findings may vary as a function of effect modifiers
can address both of these possibilities. In this study, we used a meta-anal
ytic approach to examine linkage between the interleukin-9 gene (IL9), one
of the cytokine genes located on chromosome 5q31, and asthma diagnoses and
serum IgE levels in four samples. We analyzed IBD allele sharing for affect
ed, unaffected, and discordant sib pairs, and as a function of sibling diff
erences in IgE levels. We used a recently developed logistic regression-bas
ed method that allows for the inclusion of covariates and/or effect modifie
rs in the analysis of allele sharing in sib-pairs [Rice et al., Genet Epide
miol 17(Suppl. 1):S691-5, 1999]. Sex of the siblings and transmitting paren
t were considered both as covariates and effect modifiers in analyses. The
results provided little evidence for linkage, or for heterogeneity therein
due to sex or transmitting parent, either within or across samples. (C) 200
1 Wiley-Liss, Inc.