Home LiteratureArticle Details
PMID: 15185401 Published · ppublish English Journal Article

Method for using complete and incomplete trios to identify genes related to a quantitative trait.

Genetic epidemiology ·Vol. 27 ·No. 1 ·2004-07-00 ·Pages 33-42

Kistner EO, Weinberg CR

Abstract

A number of tests for linkage and association with qualitative traits have been developed, with the most well-known being the transmission/disequilibrium test (TDT). For quantitative traits, varying extensions of the TDT have been suggested. The quantitative trait approach we propose is based on extending the log-linear model for case-parent trio data (Weinberg et al. [1998] Am. J. Hum. Genet. 62:969-978). Like the log-linear approach for qualitative traits, our proposed polytomous logistic approach for quantitative traits allows for population admixture by conditioning on parental genotypes. Compared to other methods, simulations demonstrate good power and robustness of the proposed test under various scenarios of the genotype effect, distribution of the quantitative trait, and population stratification. In addition, missing parental genotype data can be accommodated through an expectation-maximization (EM) algorithm approach. The EM approach allows recovery of most of the lost power due to incomplete trios.

MeSH Terms
Computer Simulation Genotype Humans Linkage Disequilibrium/genetics Logistic Models Models, Genetic Nuclear Family Parents Pedigree Quantitative Trait Loci/genetics Quantitative Trait, Heritable Sensitivity and Specificity
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Kistner Emily O
Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, USA. [email protected]
Weinberg Clarice R
Article Info
Journal
Genetic epidemiology
Abbr.
Genet Epidemiol
ISSN
0741-0395
Published
2004-07-00
Pages
33-42
Language
English
Region
United States
NLM ID
8411723
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]