Volume measures for linkage disequilibrium

<p>Abstract</p> <p>Background</p> <p>Defining measures of linkage disequilibrium (LD) that have good small sample properties and are applicable to multiallelic markers poses some challenges. The potential of volume measures in this context has been noted before, but the...

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Main Authors: Lin Chia-Ho, Chen Yuguo, Sabatti Chiara
Format: Article
Language:English
Published: BMC 2006-11-01
Series:BMC Genetics
Online Access:http://www.biomedcentral.com/1471-2156/7/54
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author Lin Chia-Ho
Chen Yuguo
Sabatti Chiara
author_facet Lin Chia-Ho
Chen Yuguo
Sabatti Chiara
author_sort Lin Chia-Ho
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>Defining measures of linkage disequilibrium (LD) that have good small sample properties and are applicable to multiallelic markers poses some challenges. The potential of volume measures in this context has been noted before, but their use has been hampered by computational challenges.</p> <p>Results</p> <p>We design a sequential importance sampling algorithm to evaluate volume measures on <it>I </it>× <it>J </it>tables. The algorithm is implemented in a C routine as a complement to exhaustive enumeration. We make the C code available as open source. We achieve fast and accurate evaluation of volume measures in two dimensional tables.</p> <p>Conclusion</p> <p>Applying our code to simulated and real datasets reinforces the belief that volume measures are a very useful tool for LD evaluation: they are not inflated in small samples, their definition encompasses multiallelic markers, and they can be computed with appreciable speed.</p>
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spelling doaj.art-7968f4cd7bc74dbebdd2d6deb01d3c492022-12-22T01:54:56ZengBMCBMC Genetics1471-21562006-11-01715410.1186/1471-2156-7-54Volume measures for linkage disequilibriumLin Chia-HoChen YuguoSabatti Chiara<p>Abstract</p> <p>Background</p> <p>Defining measures of linkage disequilibrium (LD) that have good small sample properties and are applicable to multiallelic markers poses some challenges. The potential of volume measures in this context has been noted before, but their use has been hampered by computational challenges.</p> <p>Results</p> <p>We design a sequential importance sampling algorithm to evaluate volume measures on <it>I </it>× <it>J </it>tables. The algorithm is implemented in a C routine as a complement to exhaustive enumeration. We make the C code available as open source. We achieve fast and accurate evaluation of volume measures in two dimensional tables.</p> <p>Conclusion</p> <p>Applying our code to simulated and real datasets reinforces the belief that volume measures are a very useful tool for LD evaluation: they are not inflated in small samples, their definition encompasses multiallelic markers, and they can be computed with appreciable speed.</p>http://www.biomedcentral.com/1471-2156/7/54
spellingShingle Lin Chia-Ho
Chen Yuguo
Sabatti Chiara
Volume measures for linkage disequilibrium
BMC Genetics
title Volume measures for linkage disequilibrium
title_full Volume measures for linkage disequilibrium
title_fullStr Volume measures for linkage disequilibrium
title_full_unstemmed Volume measures for linkage disequilibrium
title_short Volume measures for linkage disequilibrium
title_sort volume measures for linkage disequilibrium
url http://www.biomedcentral.com/1471-2156/7/54
work_keys_str_mv AT linchiaho volumemeasuresforlinkagedisequilibrium
AT chenyuguo volumemeasuresforlinkagedisequilibrium
AT sabattichiara volumemeasuresforlinkagedisequilibrium