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Family-based association test using normal approximation to gene dropping null distribution

We derive the analytical mean and variance of the score test statistic in gene-dropping simulations and approximate the null distribution of the test statistic by a normal distribution. We provide insights into the gene-dropping test by decomposing the test statistic into two components: the first c...

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Detalles Bibliográficos
Autores principales: Jiang, Yuan, Emerson, Sarah, Wang, Lu, Li, Lujing, Di, Yanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143692/
https://www.ncbi.nlm.nih.gov/pubmed/25519313
http://dx.doi.org/10.1186/1753-6561-8-S1-S18
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author Jiang, Yuan
Emerson, Sarah
Wang, Lu
Li, Lujing
Di, Yanming
author_facet Jiang, Yuan
Emerson, Sarah
Wang, Lu
Li, Lujing
Di, Yanming
author_sort Jiang, Yuan
collection PubMed
description We derive the analytical mean and variance of the score test statistic in gene-dropping simulations and approximate the null distribution of the test statistic by a normal distribution. We provide insights into the gene-dropping test by decomposing the test statistic into two components: the first component provides information about linkage, and the second component provides information about fine mapping under the linkage peak. We demonstrate our theoretical findings by applying the gene-dropping test to the simulated data set from Genetic Analysis Workshop 18 and comparing its performance with existing population and family-based association tests.
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spelling pubmed-41436922014-09-02 Family-based association test using normal approximation to gene dropping null distribution Jiang, Yuan Emerson, Sarah Wang, Lu Li, Lujing Di, Yanming BMC Proc Proceedings We derive the analytical mean and variance of the score test statistic in gene-dropping simulations and approximate the null distribution of the test statistic by a normal distribution. We provide insights into the gene-dropping test by decomposing the test statistic into two components: the first component provides information about linkage, and the second component provides information about fine mapping under the linkage peak. We demonstrate our theoretical findings by applying the gene-dropping test to the simulated data set from Genetic Analysis Workshop 18 and comparing its performance with existing population and family-based association tests. BioMed Central 2014-06-17 /pmc/articles/PMC4143692/ /pubmed/25519313 http://dx.doi.org/10.1186/1753-6561-8-S1-S18 Text en Copyright © 2014 Jiang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Proceedings
Jiang, Yuan
Emerson, Sarah
Wang, Lu
Li, Lujing
Di, Yanming
Family-based association test using normal approximation to gene dropping null distribution
title Family-based association test using normal approximation to gene dropping null distribution
title_full Family-based association test using normal approximation to gene dropping null distribution
title_fullStr Family-based association test using normal approximation to gene dropping null distribution
title_full_unstemmed Family-based association test using normal approximation to gene dropping null distribution
title_short Family-based association test using normal approximation to gene dropping null distribution
title_sort family-based association test using normal approximation to gene dropping null distribution
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143692/
https://www.ncbi.nlm.nih.gov/pubmed/25519313
http://dx.doi.org/10.1186/1753-6561-8-S1-S18
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