Repository logo
 
Publication

Bayesian analysis of allelic penetrance models for complex binary traits

dc.contributor.authorSepĂșlveda, Nuno
dc.contributor.authorPaulino, Carlos Daniel
dc.contributor.authorPenha-Gonçalves, Carlos
dc.date.accessioned2010-05-14T10:07:43Z
dc.date.available2010-05-14T10:07:43Z
dc.date.issued2009
dc.description.abstractComplex binary traits result from an intricate network of genetic and environmental factors. To aid their genetic dissection, several generalized linear models have been described to detect interaction between genes. However, it is recognized that these models have limited genetic interpretation. To overcome this problem, the allelic penetrance approach was proposed to model the action of a dominant or a recessive allele at a single locus, and to describe two-locus independent, inhibition, and cumulative actions. Classically, a recessive inheritance requires the expression of both recessive alleles in homozygotes to obtain the phenotype (type I recessiveness). In previous work, recessiveness was defined alternatively as a situation where a recessive allele is able to express the phenotype when the dominant allele is not active (type II recessiveness). Both definitions of recessiveness are then discussed under the allelic penetrance models. Bayesian methods are applied to analyze two data sets: one regarding the effect of the haplotype [HLA-B8, SC01, DR3] on the inheritance of IgD and IgG4 immunoglobulin deficiencies in humans, and other related to two-locus action in the control of Listeria infection susceptibility in mice.pt
dc.identifier.citationSepĂșlveda, N., Paulino, C.D. and Penha Gonçalves, C. (2009). Bayesian analysis of allelic penetrance models for complex binary traits. Computational Statistics & Data Analysis 53 (4) : 1271-1283pt
dc.identifier.issn0167-9473
dc.identifier.urihttp://hdl.handle.net/10400.7/111
dc.language.isoengpt
dc.peerreviewedYes
dc.publisherElsevierpt
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.csda.2008.10.038
dc.subjectIncomplete penetrancept
dc.subjectSusceptibility genespt
dc.subjectEpistasispt
dc.subjectDiseasespt
dc.titleBayesian analysis of allelic penetrance models for complex binary traitspt
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1283pt
oaire.citation.startPage1271pt
oaire.citation.titleComputational Statistics and Data Analysispt
rcaap.rightsopenAccesspt
rcaap.typearticlept

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SepĂșlveda_Comput.Stat.Data.Anal_2009_post-print.pdf
Size:
1021.83 KB
Format:
Adobe Portable Document Format
Description:
main article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description: