Genome-wide linkage analysis in a general population sample using σA2 random effects (SSARS) fitted by Gibbs sampling

Genetic Epidemiology

Volumn 21, Issue SUPPL. 1, 2001, Pages

  Palmer, L J ^a   Jacobs, K B ^a   Scurrah, K J ^a   Xu, X ^a   Horvath, S ^a   Weiss, S T ^a  

^a CHANNING LABORATORY   (United States)

Author keywords

Gibbs sampling; Haseman Elston; Linkage; Variance components; Whole genome

Indexed keywords

CHROMOSOME 1P; CHROMOSOME 2P; CONFERENCE PAPER; GENE LOCATION; GENE LOCUS; GENETIC ANALYSIS; GENETIC LINKAGE; GENOME; HUMAN; PHENOTYPE; POPULATION GENETICS; QUANTITATIVE TRAIT; STATISTICAL ANALYSIS; VARIANCE;

EID: 0034792991     PISSN: 07410395     EISSN: None     Source Type: Journal    
DOI: 10.1002/gepi.2001.21.s1.s674     Document Type: Conference Paper

References (12)

1. Approximate inference in generalized linear mixed models
2. Genetic variance components analysis for binary phenotypes using generalized linear mixed models (GLMMs) and Gibbs sampling
3. Haseman and Elston revisited
4. Monte Carlo estimation of variance components models
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6. Linkage and association for age of onset of a common oligogenic disease using genetic variance components models
7. Variance components analysis for pedigree-based censored survival data using generalized linear mixed models (GLMMs) and Gibbs sampling in BUGS
8. Adding further power to the Haseman and Elston method for detecting linkage
9. A unified Haseman-Elston method for testing linkage with Quantitative traits
10. Generalized linear models with random effects: A gibbs sampling approach