Gibbs sampling-based segregation analysis of asthma-associated quantitative traits in a population-based sample of nuclear families

2001 ◽  
Vol 20 (3) ◽  
pp. 356-372 ◽  
Author(s):  
Lyle J. Palmer ◽  
William O.C.M. Cookson ◽  
Alan L. James ◽  
A. William Musk ◽  
Paul R. Burton
Keyword(s):  
Gibbs Sampling ◽  
Quantitative Traits ◽  
Segregation Analysis ◽  
Population Based ◽  
Nuclear Families

scholarly journals Familial aggregation and heritability of asthma-associated quantitative traits in a population-based sample of nuclear families

2000 ◽  
Vol 8 (11) ◽  
pp. 853-860 ◽  
Author(s):  
Lyle J Palmer ◽  
Paul R Burton ◽  
Alan L James ◽  
A William Musk ◽  
William OCM Cookson
Keyword(s):  
Quantitative Traits ◽  
Familial Aggregation ◽  
Population Based ◽  
Nuclear Families

Segregation analysis of quantitative traits in nuclear families: Comparison of three program packages

1989 ◽  
Vol 6 (6) ◽  
pp. 713-726 ◽  
Author(s):  
Lyle W. Konigsberg ◽  
Candace M. Kammerer ◽  
Jean W. MacCluer ◽  
D. C. Rao ◽  
G. P. Vogler
Keyword(s):  
Quantitative Traits ◽  
Segregation Analysis ◽  
Nuclear Families

scholarly journals Evidence for biological inheritance of the eosinophil response to internal parasites in southeastern Brazil

1999 ◽  
Vol 22 (4) ◽  
pp. 481-485 ◽  
Author(s):  
Fátima Conti ◽  
Glória M. Duccini Dal' Colletto ◽  
Mary Furlan Feitosa ◽  
Henrique Krieger
Keyword(s):  
Segregation Analysis ◽  
Familial Aggregation ◽  
Major Gene ◽  
Minas Gerais ◽  
The State ◽  
Southeastern Brazil ◽  
Nuclear Families ◽  
Internal Parasites ◽  
Intestinal Worms

One hundred and seventy-seven individuals belonging to 120 complete or incomplete nuclear families from Bambui, in the State of Minas Gerais, southeastern Brazil, were studied in order to examine causes of variation in the eosinophil rate among subjects infested by intestinal worms with an extra-digestive cycle. Segregation analysis without correction for skewness showed that the hypothesis of the presence of an additive major gene was consistent with the data, although a dominant, recessive, or a multifactorial hypothesis could not account properly for the observed significant familial aggregation. The most parsimonious correction for skewness showed similar results, but could not distinguish between dominant and recessive models, although co-dominance was rejected. Since these models assume that skewness was attributable to the commingling of two distributions, these results seem to agree with those for uncorrected data. These findings suggest that several genetically independent factors determine the resistance/susceptibility to helminth infestation mainly through their ability to influence the eosinophil response.

Inclusion of risk factor covariates in a segregation analysis of a population-based sample of 426 breast cancer families

1999 ◽  
Vol 16 (2) ◽  
pp. 150-164 ◽  
Author(s):  
Dawn M. Grabrick ◽  
V. Elving Anderson ◽  
Richard A. King ◽  
Lawrence H. Kushi ◽  
Thomas A. Sellers
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Segregation Analysis ◽  
Population Based

scholarly journals Multivariate segregation analysis for quantitative traits in line crosses

Heredity ◽  
2007 ◽  
Vol 98 (6) ◽  
pp. 427-435 ◽  
Author(s):  
J Xiao ◽  
X Wang ◽  
Z Hu ◽  
Z Tang ◽  
C Xu
Keyword(s):  
Quantitative Traits ◽  
Segregation Analysis

scholarly journals Detection of Parent-of-Origin Effects for Quantitative Traits in Complete and Incomplete Nuclear Families With Multiple Children

2011 ◽  
Vol 174 (2) ◽  
pp. 226-233 ◽  
Author(s):  
Feng He ◽  
Ji-Yuan Zhou ◽  
Yue-Qing Hu ◽  
Fengzhu Sun ◽  
Jingyuan Yang ◽  
...  
Keyword(s):  
Quantitative Traits ◽  
Nuclear Families ◽  
Parent Of Origin ◽  
Origin Effects

scholarly journals A blocking Gibbs sampling method to detect major genes with phenotypic data from a diallel mating

2004 ◽  
Vol 83 (2) ◽  
pp. 143-154 ◽  
Author(s):  
WEN ZENG ◽  
SUJIT GHOSH ◽  
BAILIAN LI
Keyword(s):  
Gibbs Sampling ◽  
Quantitative Traits ◽  
Sampling Method ◽  
Major Gene ◽  
Data Set ◽  
Major Genes ◽  
Statistical Inferences ◽  
The Impact ◽  
Half Diallel ◽  
Diallel Mating

Diallel mating is a frequently used design for estimating the additive and dominance genetic (polygenic) effects involved in quantitative traits observed in the half- and full-sib progenies generated in plant breeding programmes. Gibbs sampling has been used for making statistical inferences for a mixed-inheritance model (MIM) that includes both major genes and polygenes. However, using this approach it has not been possible to incorporate the genetic properties of major genes with the additive and dominance polygenic effects in a diallel mating population. A parent block Gibbs sampling method was developed in this study to make statistical inferences about the major gene and polygenic effects on quantitative traits for progenies derived from a half-diallel mating design. Using simulated data sets with different major and polygenic effects, the proposed method accurately estimated the major and polygenic effects of quantitative traits, and possible genotypes of parents and progenies. The impact of specifying different prior distributions was examined and was found to have little effect on inference on the posterior distribution. This approach was applied to an experimental data set of Loblolly pine (Pinus taeda L.) derived from a 6-parent half-diallel mating. The result indicated that there might be a recessive major gene affecting height growth in this diallel population.

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