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In genetics, association mapping, also known as "linkage disequilibrium mapping", is a method of mapping quantitative trait loci (QTLs) that takes advantage of historic linkage disequilibrium to link phenotypes (observable characteristics) to genotypes (the genetic constitution of organisms), uncovering genetic associations.
The approach involves using regression analysis to examine the relationship between linkage disequilibrium scores and the test statistics of the single-nucleotide polymorphisms (SNPs) from the GWAS. Here, the "linkage disequilibrium score" for a SNP "is the sum of LD r 2 measured with all other SNPs". [3]
Once linkage disequilibrium has been calculated for a dataset, a visualization method is often chosen to display the linkage disequilibrium to make it more easily understandable. The most common method is to use a heatmap, where colors are used to indicate the loci with positive linkage disequilibrium, and linkage equilibrium. This example ...
Linkage disequilibrium (LD) calculation; Identity by descent (IBD) and identity by state (IBS) matrix calculation; population stratification, such as a Principal component analysis; association analysis such as genome-wide association study for both basic case/control studies and quantitative traits; tests for epistasis
The most commonly used approach, block-based method, exploits the principle of linkage disequilibrium observed within haplotype blocks. [12] Several algorithms have been devised to partition chromosomal regions into haplotype blocks which are based on haplotype diversity , LD , four-gamete test and information complexity and tag SNPs are ...
Hence, GWAS is a non-candidate-driven approach, in contrast to gene-specific candidate-driven studies. GWA studies identify SNPs and other variants in DNA associated with a disease, but they cannot on their own specify which genes are causal. [1] [2] [3] The first successful GWAS published in 2002 studied myocardial infarction. [4]
Arlequin is a free population genetics software distributed as an integrated GUI data analysis software. [1] It performs several types of tests and calculations, including Fixation index (F st, also known as the "F-statistics" [2]), computing genetic distance, Hardy–Weinberg equilibrium, linkage disequilibrium, analysis of molecular variance, mismatch distribution, and pairwise difference tests.
By observing if frequencies of a specific variant are more commonly associated, or higher than expected, with the given trait; an association is developed between the trait and the variant. However, many of these associations can be developed throughout an individual due to linkage disequilibrium and the large size of the genome. Although GWAS ...