SEGREGATION ANALYSIS OF 2 LUNG-FUNCTION INDEXES IN A RANDOM SAMPLE OFYOUNG FAMILIES - THE HUMBOLDT FAMILY STUDY

Citation
Y. Chen et al., SEGREGATION ANALYSIS OF 2 LUNG-FUNCTION INDEXES IN A RANDOM SAMPLE OFYOUNG FAMILIES - THE HUMBOLDT FAMILY STUDY, Genetic epidemiology, 13(1), 1996, pp. 35-47
Citations number
40
Categorie Soggetti
Genetics & Heredity","Public, Environmental & Occupation Heath
Journal title
ISSN journal
07410395
Volume
13
Issue
1
Year of publication
1996
Pages
35 - 47
Database
ISI
SICI code
0741-0395(1996)13:1<35:SAO2LI>2.0.ZU;2-Y
Abstract
The Humboldt Family Study was conducted in the town of Humboldt, Saska tchewan, in 1993. Familial correlations and segregation analyses of lu ng function were carried out in 799 individuals in 214 nuclear familie s that included 214 fathers, 214 mothers, and 371 children. Forced exp iratory volume in 1 second (FEV1) and maximal mid-expiratory flow rate (MMFR) were first regressed on age, height, weight, and their quadrat ic and cubic terms as well as on smoking status in four groups separat ely (mothers, fathers, daughters, and sons), with terms significant at the 0.10 level being retained. Residual phenotypes were standardized within the four groups. Class D regressive models were used to perform familial correlations and segregation analyses. For both FEV1 and MMF R, father-mother correlations were not significantly different from ze ro, and mother-offspring, father-offspring, and sibling-sibling correl ations showed no statistically significant difference from each other. Based on the ''polygenic'' models, the estimated intraclass correlati on is 0.132 (+/- 0.035) for FEV1 and 0.171 (+/- 0.039) for MMFR, and t he narrow-sense heritability is 0.264 for FEV, and 0.342 for MMFR. Seg regation analysis shows that the ''mixed'' model with both single locu s and polygenic components had a better fit for FEV1 than single-locus or polygenic-only models. However, the model which included a nontran smitted environmental factor [tau(AA) = tau(AB) = tau(BB) = qA] and po lygenic loci had a better fit than the Mendelian model [tau(AA) = 1, t au(AB) = 1/2, tau(BB) = 0] [Akaike's information criterion (AIC) = 221 9.47 vs. AIC = 2222.14]. For MMFR, the Mendelian ''mixed'' model gave a nonsignificant improvement in log, likelihood compared to the simple polygenic model. Comparison of the single-locus model and Mendelian ' 'mixed'' model shows no difference in fitting the data. This study sug gests that FEV1 and MMFR are controlled by many loci with no major eff ects and/or common environmental factors. (C) 1996 Wiley-Liss, Inc.