Mapping Quantitative Trait Loci for Complex Binary Diseases Using Line Crosses

Overview

Journal Genetics

Publisher Oxford University Press

Specialty Genetics

Date 1996 Jul 1

PMID 8807312

Citations 65

Authors

S Xu

W R Atchley

Affiliations

Soon will be listed here.

Abstract

A composite interval gene mapping procedure for complex binary disease traits is proposed in this paper. The binary trait of interest is assumed to be controlled by an underlying liability that is normally distributed. The liability is treated as a typical quantitative character and thus described by the usual quantitative genetics model. Translation from the liability into a binary (disease) phenotype is through the physiological threshold model. Logistic regression analysis is employed to estimate the effects and locations of putative quantitative trait loci (our terminology for a single quantitative trait locus is QTL while multiple loci are referred to as QTLs). Simulation studies show that properties of this mapping procedure mimic those of the composite interval mapping for normally distributed data. Potential utilization of the QTL mapping procedure for resolving alternative genetic models (e.g., single- or two-trait-locus model) is discussed.

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