Literature DB >> 19183345

Testing for linkage and Hardy-Weinberg disequilibrium.

E Kulinskaya1, A Lewin.   

Abstract

This paper concerns several important points when testing for Hardy-Weinberg equilibrium (HWE) and linkage disequilibrium (LD) in genetics. First, we challenge the necessity of using exclusively two-sided tests for LD. Next, we show that the exact 2-sided tests based on the most popular measures of LD are not equivalent, and neither are the standard statistical tests even though the 1-sided tests are equivalent. We show how this results in different inference about LD for two data sets consisting of small groups of markers. Finally, we advocate the use of the conditional p-value for both LD and HWE testing. An important advantage of this p-value is that equivalent 1-sided tests are transformed into equivalent 2-sided tests.

Mesh:

Year:  2009        PMID: 19183345     DOI: 10.1111/j.1469-1809.2008.00501.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  3 in total

1.  Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.

Authors:  Michelle Carlsen; Guifang Fu; Shaun Bushman; Christopher Corcoran
Journal:  Genetics       Date:  2015-12-12       Impact factor: 4.562

2.  A Bivariate Hypothesis Testing Approach for Mapping the Trait-Influential Gene.

Authors:  Garrett Saunders; Guifang Fu; John R Stevens
Journal:  Sci Rep       Date:  2017-10-09       Impact factor: 4.379

3.  Turning Vice into Virtue: Using Batch-Effects to Detect Errors in Large Genomic Data Sets.

Authors:  Fabrizio Mafessoni; Rashmi B Prasad; Leif Groop; Ola Hansson; Kay Prüfer
Journal:  Genome Biol Evol       Date:  2018-10-01       Impact factor: 3.416

  3 in total

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