Literature DB >> 21778738

On the uses and applications of the most commonly used measures of linkage disequilibrium from the comparative analysis of their statistical properties.

Carlos Zapata1.   

Abstract

BACKGROUND/
OBJECTIVE: The analysis of linkage disequilibrium is relevant for the exploration of the structure and evolution of genomes and for the gene mapping of quantitative characters and human diseases. The strength of linkage disequilibrium between diallelic loci is commonly measured by the coefficients D' and r. Recent studies suggest that r is more useful than D' as a general measure of the strength of disequilibrium because it provides much more precise (lower sampling variance) and accurate (lower bias) estimates of disequilibrium. We compared for the first time the statistical properties of D' and r taking into account their differences in range.
METHODS: The sampling properties of D' and r were evaluated by simulation under a variety of realistic population conditions and varying sample sizes using standardised statistics that allow for comparisons of the precision, accuracy and efficiency of estimates with different ranges.
RESULTS: Simulations revealed that estimates of r do not tend to be significantly more precise, accurate or efficient than those of D' when compared by means of standardised statistics.
CONCLUSION: The supposed advantage of r over D' based on direct comparisons of their sampling distributions is more apparent than real. The obtained results are useful to assess the uses and applications of these widely used disequilibrium measures.
Copyright © 2011 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2011        PMID: 21778738     DOI: 10.1159/000327732

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  6 in total

1.  Patterns of cyto-nuclear linkage disequilibrium in Silene latifolia: genomic heterogeneity and temporal stability.

Authors:  P D Fields; D E McCauley; E V McAssey; D R Taylor
Journal:  Heredity (Edinb)       Date:  2013-09-04       Impact factor: 3.821

2.  Enhancing the power to detect low-frequency variants in genome-wide screens.

Authors:  Chang-Yun Lin; Guan Xing; Hung-Chih Ku; Robert C Elston; Chao Xing
Journal:  Genetics       Date:  2014-02-04       Impact factor: 4.562

3.  A new haplotype block detection method for dense genome sequencing data based on interval graph modeling of clusters of highly correlated SNPs.

Authors:  Sun Ah Kim; Chang-Sung Cho; Suh-Ryung Kim; Shelley B Bull; Yun Joo Yoo
Journal:  Bioinformatics       Date:  2018-02-01       Impact factor: 6.937

4.  Mathematical Properties of Linkage Disequilibrium Statistics Defined by Normalization of the Coefficient D = pAB - pApB.

Authors:  Jonathan T L Kang; Noah A Rosenberg
Journal:  Hum Hered       Date:  2020-02-11       Impact factor: 0.444

5.  Linkage disequilibrium measures for fine-scale mapping of disease loci are revisited.

Authors:  Carlos Zapata
Journal:  Front Genet       Date:  2013-11-05       Impact factor: 4.599

6.  Efficient haplotype block recognition of very long and dense genetic sequences.

Authors:  Daniel Taliun; Johann Gamper; Cristian Pattaro
Journal:  BMC Bioinformatics       Date:  2014-01-14       Impact factor: 3.169

  6 in total

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