Assessment of global phase uncertainty in case-control studies

<p>Abstract</p> <p>Background</p> <p>In haplotype-based candidate gene studies a problem is that the genotype data are unphased, which results in haplotype ambiguity. The <inline-formula><graphic file="1471-2156-10-54-i1.gif"/></inline-formula&g...

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Main Authors: van Houwelingen Hans C, Putter Hein, Houwing-Duistermaat Jeanine J, Uh Hae-Won
Format: Article
Language:English
Published: BMC 2009-09-01
Series:BMC Genetics
Online Access:http://www.biomedcentral.com/1471-2156/10/54
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spelling doaj-00b24109b10f4651b559df4267669b2a2020-11-25T02:58:05ZengBMCBMC Genetics1471-21562009-09-011015410.1186/1471-2156-10-54Assessment of global phase uncertainty in case-control studiesvan Houwelingen Hans CPutter HeinHouwing-Duistermaat Jeanine JUh Hae-Won<p>Abstract</p> <p>Background</p> <p>In haplotype-based candidate gene studies a problem is that the genotype data are unphased, which results in haplotype ambiguity. The <inline-formula><graphic file="1471-2156-10-54-i1.gif"/></inline-formula> measure <abbrgrp><abbr bid="B1">1</abbr></abbrgrp> quantifies haplotype predictability from genotype data. It is computed for each individual haplotype, and for a measure of global relative efficiency a minimum <inline-formula><graphic file="1471-2156-10-54-i1.gif"/></inline-formula> value is suggested. Alternatively, we developed methods directly based on the information content of haplotype frequency estimates to obtain global relative efficiency measures: <inline-formula><graphic file="1471-2156-10-54-i2.gif"/></inline-formula> and <inline-formula><graphic file="1471-2156-10-54-i3.gif"/></inline-formula> based on A- and D-optimality, respectively. All three methods are designed for single populations; they can be applied in cases only, controls only or the whole data. Therefore they are not necessarily optimal for haplotype testing in case-control studies.</p> <p>Results</p> <p>A new global relative efficiency measure <inline-formula><graphic file="1471-2156-10-54-i4.gif"/></inline-formula> was derived to maximize power of a simple test statistic that compares haplotype frequencies in cases and controls. Application to real data showed that our proposed method <inline-formula><graphic file="1471-2156-10-54-i4.gif"/></inline-formula> gave a clear and summarizing measure for the case-control study conducted. Additionally this measure might be used for selection of individuals, who have the highest potential for improving power by resolving phase ambiguity.</p> <p>Conclusion</p> <p>Instead of using relative efficiency measure for cases only, controls only or their combined data, we link uncertainty measure to case-control studies directly. Hence, our global efficiency measure might be useful to assess whether data are informative or have enough power for estimation of a specific haplotype risk.</p> http://www.biomedcentral.com/1471-2156/10/54
collection DOAJ
language English
format Article
sources DOAJ
author van Houwelingen Hans C
Putter Hein
Houwing-Duistermaat Jeanine J
Uh Hae-Won
spellingShingle van Houwelingen Hans C
Putter Hein
Houwing-Duistermaat Jeanine J
Uh Hae-Won
Assessment of global phase uncertainty in case-control studies
BMC Genetics
author_facet van Houwelingen Hans C
Putter Hein
Houwing-Duistermaat Jeanine J
Uh Hae-Won
author_sort van Houwelingen Hans C
title Assessment of global phase uncertainty in case-control studies
title_short Assessment of global phase uncertainty in case-control studies
title_full Assessment of global phase uncertainty in case-control studies
title_fullStr Assessment of global phase uncertainty in case-control studies
title_full_unstemmed Assessment of global phase uncertainty in case-control studies
title_sort assessment of global phase uncertainty in case-control studies
publisher BMC
series BMC Genetics
issn 1471-2156
publishDate 2009-09-01
description <p>Abstract</p> <p>Background</p> <p>In haplotype-based candidate gene studies a problem is that the genotype data are unphased, which results in haplotype ambiguity. The <inline-formula><graphic file="1471-2156-10-54-i1.gif"/></inline-formula> measure <abbrgrp><abbr bid="B1">1</abbr></abbrgrp> quantifies haplotype predictability from genotype data. It is computed for each individual haplotype, and for a measure of global relative efficiency a minimum <inline-formula><graphic file="1471-2156-10-54-i1.gif"/></inline-formula> value is suggested. Alternatively, we developed methods directly based on the information content of haplotype frequency estimates to obtain global relative efficiency measures: <inline-formula><graphic file="1471-2156-10-54-i2.gif"/></inline-formula> and <inline-formula><graphic file="1471-2156-10-54-i3.gif"/></inline-formula> based on A- and D-optimality, respectively. All three methods are designed for single populations; they can be applied in cases only, controls only or the whole data. Therefore they are not necessarily optimal for haplotype testing in case-control studies.</p> <p>Results</p> <p>A new global relative efficiency measure <inline-formula><graphic file="1471-2156-10-54-i4.gif"/></inline-formula> was derived to maximize power of a simple test statistic that compares haplotype frequencies in cases and controls. Application to real data showed that our proposed method <inline-formula><graphic file="1471-2156-10-54-i4.gif"/></inline-formula> gave a clear and summarizing measure for the case-control study conducted. Additionally this measure might be used for selection of individuals, who have the highest potential for improving power by resolving phase ambiguity.</p> <p>Conclusion</p> <p>Instead of using relative efficiency measure for cases only, controls only or their combined data, we link uncertainty measure to case-control studies directly. Hence, our global efficiency measure might be useful to assess whether data are informative or have enough power for estimation of a specific haplotype risk.</p>
url http://www.biomedcentral.com/1471-2156/10/54
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AT putterhein assessmentofglobalphaseuncertaintyincasecontrolstudies
AT houwingduistermaatjeaninej assessmentofglobalphaseuncertaintyincasecontrolstudies
AT uhhaewon assessmentofglobalphaseuncertaintyincasecontrolstudies
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