ABSTRACT
Linkage Disequilibrium (LD) structure of genome is an important criteria as it describe the association or co-occurrence of alleles of adjacent polymorphisms with each other. If the LD is high between two alleles present in a population, the frequency of one allele can be used predict the frequency of the other allele. That is, one polymorphism can predict the other adjacent linked one because very little recombination has occurred between them over the time of evolution and population history. Strong levels of LD in a certain area of genome will correspond with a limited number of haplotypes in that particular area, where, these haplotypes are blocks of linked alleles of adjacent polymorphisms. Realizing and integrating the LD structure of a specific region of genome is vital for detecting disease influencing variants, which, in turns helps to understand the history of evaluation. Among the existing pairwise measures ( prime) is one that determines the amount of linkage between two single-nucleotide polymorphisms (SNPs). is comparatively easier to understand, which simply is measures the predictability of one SNP’s genotype based on the other. This paper provides a useful way for extracting different features of LD from SNP genotype data by means of D’.
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