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Genetic association tests for the heaped data

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Authors
최해원
Advisor
박태성
Major
자연과학대학 통계학과
Issue Date
2015-02
Publisher
서울대학교 대학원
Keywords
Heaped dataCigarette per day (CPD)Genome-Wide Association Study (GWAS)Self-reported survey
Description
학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2015. 2. 박태성.
Abstract
In self-reported surveys, subjects tend to recall the counts of events as particularly multiples of certain numbers. For example, in studies of smoking behavior cigarette counts per day are heaped such as 0, half pack, one pack, one and half packs, two packs and so forth. Because of the error of memory, the frequency of the values ending with 0 or 5 is higher than that of the true distribution. These data is called heaped data. Analysis of such heaped data has been a challenge owing to the reporting bias and the difficulty in estimating the appropriate distribution for the heaped data. Therefore, it is hard to fit a model via the standard maximum likelihood estimation when the interest lies in association studies between the heaped dependent variable and other covariates of interest. In this study, we are interested in identifying genetic variants such as single nucleotide polymorphism (SNP) for a heaped data such as the cigarette per day (CPD). We first review previously proposed approaches applicable to CPD data in which the heaped data is treated as a dependent variable and the SNP as an ordinal independent variable. We then consider an alternative calibration modelling approach to the association test for heaped data. That is, we consider a reverse model regarding the SNP as an ordinal dependent variable and the heaped data as an independent variable. Unlike the standard modelling approach, this calibration modelling approach becomes robust to the distributional assumption of heaped data. For handling ordinal nature of SNPs, we fit a cumulative logit model in our calibration model. The significant SNPs can be identified from the model. We applied our calibration modelling approach to CPD data from Korean Association Resource project data of 4,183 male samples. Through simulation studies, we investigated performance of the proposed method and compared its performance with other competing approaches.
Language
Korean
URI
http://hdl.handle.net/10371/131300
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College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Master's Degree_통계학과)
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