2017•Unpublished venueRequires access

Two-Locus Models: Using Linkage Disequilibrium

Ben Hui Liu

Open publisher page 0 citations

Abstract

This chapter introduces the concept of disequilibrium, the relationship between disequilibrium and linkage, the transmission/disequilibrium test (TDT) and other disequilibrium-based tests. The purpose of controlled crosses for mapping populations is to maximize linkage disequilibrium within the progeny of the crosses. Methods for two-locus disequilibrium analysis are needed to define disequilibrium in a multiple-locus context. Linkage equilibrium is commonly assumed in natural populations under a large number generations of random mating. The chapter briefly introduces methods of relative risk (RR), haplotype relative risk (HRR) and linkage analysis using population admixture. It discusses methods for partitioning the confounded factor in order to estimate recombination fraction. The chapter shows how population admixture affects the inference of linkage from association analysis. The key for analysis using population admixture is to pick the loci and to establish random mating after the admixture.

About this research paper

What this paper is about

This chapter introduces the concept of disequilibrium, the relationship between disequilibrium and linkage, the transmission/disequilibrium test (TDT) and other disequilibrium-based tests. The purpose of controlled crosses for mapping populations is to maximize linkage disequilibrium within the progeny of the crosses. Methods for two-locus disequilibrium analysis are needed to define disequilibrium in a multiple-locus context. Linkage equilibrium is commonly assumed in natural populations under a large number generations of random mating. The chapter briefly introduces methods of relative risk (RR), haplotype relative risk (HRR) and linkage analysis using population admixture. It discusses methods for partitioning the confounded factor in order to estimate recombination fraction. The chapter shows how population admixture affects the inference of linkage from association analysis. The key for analysis using population admixture is to pick the loci and to establish random mating after the admixture.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This chapter introduces the concept of disequilibrium, the relationship between disequilibrium and linkage, the transmission/disequilibrium test (TDT) and other disequilibrium-based tests. The purpose of controlled crosses for mapping populations is to maximize linkage disequilibrium within the progeny of the crosses. Methods for two-locus disequilibrium analysis are needed to define disequilibrium in a multiple-locus context. Linkage equilibrium is commonly assumed in natural populations under a large number generations of random mating. The chapter briefly introduces methods of relative risk (RR), haplotype relative risk (HRR) and linkage analysis using population admixture. It discusses methods for partitioning the confounded factor in order to estimate recombination fraction. The chapter shows how population admixture affects the inference of linkage from association analysis. The key for analysis using population admixture is to pick the loci and to establish random mating after the admixture.

Key concepts: Linkage disequilibrium, Disequilibrium, Locus (genetics), Genetics, Geography, Biology, Allele, Medicine

Related papers

Back to paper searchBrowse research topicsOriginal source
Two-Locus Models: Using Linkage Disequilibrium — Research Paper | ScholarLens