Segregation analysis of asthma and respiratory allergy in population-based samples of families.
Class A regressive multiple logistic segregation models with a sibling covariate were used to investigate the underlying determinants of asthma and respiratory allergy (defined from specific IgE levels to inhaled allergens) in the randomly recruited Caucasian families from the Genetic Analysis Workshop 12 asthma data sets--Perth, Busselton, and Southampton. For asthma, both a purely multifactorial model and a major gene (dominant or recessive) model with multifactorial effects fitted the data. For respiratory allergy, a dominant, dominant with multifactorial effects and a purely multifactorial model all fitted the data. However, homogeneity of the three studies was rejected for both traits indicating that the three populations are significantly different and should be analyzed separately. This finding has implications for the meta-analysis of asthma linkage studies.
Schnell
A H
AH
Department of Epidemiology and Biostatistics, Case Western Reserve University, MetroHealth Medical Center, 2500 MetroHealth Dr., Cleveland, OH 44109, USA.
Palmer
L J
LJ
Elston
R C
RC
D000328:Adult; D001249:Asthma / Q000453:epidemiology / Q000235:genetics*; D002648:Child; D003430:Cross-Sectional Studies; D005260:Female; D005820:Genetic Testing; D005828:Genetics, Population; D006801:Humans; D016015:Logistic Models; D008297:Male; D008404:Massachusetts; D008957:Models, Genetic; D012130:Respiratory Hypersensitivity / Q000453:epidemiology / Q000235:genetics*; D018570:Risk Assessment