Allelic association and disease mapping

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Allelic Association and Disease Mapping

The application of allelic association to map genes for complex traits, particularly using high-density maps of single nucleotide polymorphisms in candidate regions, is an area of very active research. Here we present some aspects of the methodology and applications to both major gene mapping, which illustrates the effectiveness of the method, and oligogenes, where methods are still in flux and...

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Mapping a disease locus by allelic association.

Allelic association provides a means to map disease genes that, in a dense map of polymorphic markers, has considerably higher resolution than linkage methods. We describe here a composite likelihood estimate of location for a disease gene against a high-resolution marker map by using allele frequencies at linked loci. Data may be family-based, as in the transmission disequilibrium test, or fro...

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Mapping quantitative effects of oligogenes by allelic association.

Regression analysis of a quantitative trait as a function of a single diallelic polymorphism has been extended to allelic association by composite likelihood under the Malecot model for multiple markers. We applied the method to 10 single nucleotide polymorphisms (SNPs) spanning 27 kb of the angiotensin-I converting enzyme (ACE) gene in British families, localising a causal SNP between G2530A a...

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Association mapping and disease: evolutionary perspectives.

In this chapter, we give a short introduction to the genetics of complex disease with special emphasis on evolutionary models for disease genes and the effect of different models on the genetic architecture, and finally give a survey of the state-of-the-art of genome-wide association studies.

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A Bayesian approach to disease gene location using allelic association.

A Bayesian approach to analysing data from family-based association studies is developed. This permits direct assessment of the range of possible values of model parameters, such as the recombination frequency and allelic associations, in the light of the data. In addition, sophisticated comparisons of different models may be handled easily, even when such models are not nested. The methodology...

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ژورنال

عنوان ژورنال: Briefings in Bioinformatics

سال: 2001

ISSN: 1467-5463,1477-4054

DOI: 10.1093/bib/2.4.375