Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure

Bibliographic Details
Main Author:	Ding, Jie
Language:	English
Published:	The Ohio State University / OhioLINK 2008
Subjects:	Biostatistics
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=osu1218475579

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-osu12184755792021-08-03T05:54:20Z Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure Ding, Jie Biostatistics Family-based association test is one way of mapping disease susceptibility genes by testing for association between marker genotypes and disease phenotypes in family data. Missing genotypes usually exist in real datasets. We proposed the Monte Carlo pedigree disequilibrium test (MCPDT) to test for association using general pedigree data with missing genotypes. It generates Monte Carlo samples of missing genotypes conditioned on observed genotypes and then calculates test statistics with the Monte Carlo samples. In a simulation study, it achieved better performance than other family-based association test methods. Since MCPDT uses estimates of population marker allele frequencies in the generation of Monte Carlo samples, population structure may generate bias in MCPDT statistics. To adjust for population structure in MCPDT, a Markov chain Monte Carlo algorithm was designed to infer the structure from pedigree data with multiple null markers and the inferred structure was then used in MCPDT. Simulation studies were done to evaluate the performance of this method. 2008-09-11 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1218475579 http://rave.ohiolink.edu/etdc/view?acc_num=osu1218475579 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Biostatistics
spellingShingle	Biostatistics Ding, Jie Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure
author	Ding, Jie
author_facet	Ding, Jie
author_sort	Ding, Jie
title	Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure
title_short	Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure
title_full	Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure
title_fullStr	Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure
title_full_unstemmed	Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure
title_sort	monte carlo pedigree disequilibrium test with missing data and population structure
publisher	The Ohio State University / OhioLINK
publishDate	2008
url	http://rave.ohiolink.edu/etdc/view?acc_num=osu1218475579
work_keys_str_mv	AT dingjie montecarlopedigreedisequilibriumtestwithmissingdataandpopulationstructure
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Monte Carlo Pedigree Disequilibrium Test with Missing Data and Population Structure

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