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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.
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 ...
In statistical genetics, linkage disequilibrium score regression (LDSR [1] or LDSC [2]) is a technique that aims to quantify the separate contributions of polygenic effects and various confounding factors, such as population stratification, based on summary statistics from genome-wide association studies (GWASs).
This reduces the data produced and also does not require exponential search time. Yet it is not feasible to apply the PCA method to large chromosomal data sets as it is computationally complex. [13] The most commonly used approach, block-based method, exploits the principle of linkage disequilibrium observed within haplotype blocks. [12]
Haploview [1] is a commonly used bioinformatics software which is designed to analyze and visualize patterns of linkage disequilibrium (LD) in genetic data. Haploview can also perform association studies, choosing tagSNPs [2] and estimating haplotype frequencies.
data management; basic statistics (F ST, missing data, tests of Hardy–Weinberg equilibrium, inbreeding coefficient, etc.); Linkage disequilibrium (LD) calculation; Identity by descent (IBD) and identity by state (IBS) matrix calculation; population stratification, such as a Principal component analysis;
Measures of linkage disequilibrium are useful tools for gene and genome mapping. [5] A linkage between two genes may be due to their positions relative to each other in the genome or it may be due to selection acting to favor certain combinations of alleles. On a genomic scale, linkage disequilibrium plays a large analytical role.
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.