ArticleJournal of human genetics2008
HapMap coverage for SNPs in the Japanese population.
Article in Journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Connecting the Human Variome Project to nutrigenomics.Genes & nutrition · 2010Article
- Article
- Comprehensive survey of SNPs in the Affymetrix exon array using the 1000 Genomes dataset.PloS one · 2010Article
- Impact of the 1000 genomes project on the next wave of pharmacogenomic discovery.Pharmacogenomics · 2010Review
- Beyond the HapMap Genotypic Data: Prospects of Deep Resequencing Projects.Current bioinformatics · 2008Article
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coverage of human genomic variations is known to substantially affect the success of genome-wide association studies. We therefore assessed the SNP coverage in the HapMap database for a total of 1,304 subjects from the Japanese population by combining resequencing and high-density genotyping approaches. First, we resequenced 48 Japanese subjects in 86 genes (572 kb in total), and we then genotyped the subset of tag SNPs and also imputed genotypes for all of the detected SNPs in an additional panel of 1,256 subjects. Subsequently, we genotyped 555,352 tag SNPs selected from the HapMap in 72 Japanese subjects (from the panel of 1,256 subjects) and further imputed genotypes for all SNPs currently included in the HapMap. Of 738 common genic SNPs (1.3 per kb) that we detected by resequencing, 58% had already been genotyped in the HapMap, and 31% were not genotyped but had a proxy SNP in the HapMap with a linkage disequilibrium coefficient r (2) > or = 0.8, whereas 11% were not represented in the current HapMap database. Thus, the HapMap coverage appears to be high although not thorough for SNPs in the Japanese population as compared to its coverage reported in Caucasians, and this needs to be considered when we interpret association results.
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