Abstract #301482

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JSM 2002 Abstract #301482
Activity Number: 289
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section*
Abstract - #301482
Title: Mapping Quantitative Trait Loci in General Pedigrees Using the Random Model Approach
Author(s): Natascha Vukasinovic*+ and Mario Martinez
Affiliation(s): Utah State University and EMBRAPA/CNPGL
Address: 3900 Old Main Hill, Logan, Utah, 84322, USA
Keywords: Quantitative Trait Loci ; Simulation ; Pedigree ; Genetic Marker ; Variance Components
Abstract:

The random model approach for mapping quantitative trait loci (QTLs) is based on differing proportion of alleles identical-by-descent (IBD) between genetically related individuals. In the random model approach, the phenotypic (co)variance among relatives is modeled as a function of the proportion of alleles IBD shared between two individuals at a QTL, which is estimated using genetic markers. Maximum likelihood techniques are then used to estimate the variance due to the QTL, rather than its allelic effects. The random model approach has been proved efficient and advantageous for mapping QTLs in outbred populations. However, so far, the random model approach has been applied only in half-sib or full-sib families. In this paper, we present an extension of the random model approach to general pedigrees. A partly recursive deterministic algorithm has been implemented to calculate IBD proportions. The method has been tested on simulated data in variety of situations regarding pedigree size and complexity, QTL size, and informativeness and density of genetic markers.

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