Genome-Wide Association for Schizophrenia in the NIMH Database ─ Genotype Imputation and Rare-variant Test
碩士 === 國立交通大學 === 統計學研究所 === 99 === Schizophrenia is a complex disease caused by both genetic inheritance and environment factors. We use the case-control genome-wide association study (GWAS) with 741 cases and 751 controls from the National Institute of Mental Health (NIMH) database to test SNP as...
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| Format: | Others |
| Language: | en_US |
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2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/87454211424030439407 |
| Summary: | 碩士 === 國立交通大學 === 統計學研究所 === 99 === Schizophrenia is a complex disease caused by both genetic inheritance and environment factors. We use the case-control genome-wide association study (GWAS) with 741 cases and 751 controls from the National Institute of Mental Health (NIMH) database to test SNP association with schizophrenia. We use the regression extension of latent class analysis (RLCA) to categorize schizophrenia into sub-symptoms since we consider the disease genes would be different between sub-symptoms. Recent studies conclude that common diseases may be caused by rare variants. We extract untyped and missing genotypes by imputation and use HapMap 3 as the reference panel. Then we perform single SNP test of association to find significant SNPs and apply the cumulative minor-allele test (CMAT) to test association between schizophrenia and rare SNPs. In this thesis, we focus on SNP imputation and single marker test of association for rare SNPs.
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