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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
Descripción
Sumario: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.