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Recent advancement of high-throughput genotyping technologies has enabled us to carry out a genome-wide association study (GWAS) in a large cohort. However, analyzing millions of single nucleotide polymorphisms (SNP) is still a troublesome task for researchers to encounter in conducting GWAS. Several difficulties in using analysis tools are one of the major challenges for researchers such as compatibility...
International HapMap Project and the Human Genome Diversity Project (HGDP) provide plentiful resources on human genome information for the public. However, these kinds of information available from HapMap and HGDP are limited mainly due to the small size of samples in both databases. Recently we conducted genome-wide association study (GWAS) with 8,842 Korean subjects (Cho et al., Nature Genetics...
In this paper, we propose new missing imputation methods for the missing genotype data of single nucleotide polymorphism (SNP). The common objective of imputation methods is to minimize the loss of information caused by experimental missing elements. In general, imputation of missing genotype data has used a major allele method, but this approach is not far from the objective of the imputation – minimizing...
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