Osabe, Dai Fujitsu Limited|Japan Biological Information Consortium
Tanahashi, Toshihito The University of Tokushima
Nomura, Kyoko Fujitsu Limited|Japan Biological Information Consortium
Shinohara, Shuichi Fujitsu Nagano Systems Engineering Limited
Nakamura, Naoto Kyoto Prefectural University of Medicine
Yoshikawa, Toshikazu Kyoto Prefectural University of Medicine
Shiota, Hiroshi The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Keshavarz, Parvaneh The University of Tokushima
Yamaguchi, Yuka The University of Tokushima Tokushima University Educator and Researcher Directory
Kunika, Kiyoshi The University of Tokushima
Moritani, Maki The University of Tokushima
Inoue, Hiroshi The University of Tokushima
Itakura, Mitsuo Japan Biological Information Consortium|The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Background: Genome-wide maps of linkage disequilibrium (LD) and haplotypes have been created for different populations. Substantial sharing of the boundaries and haplotypes among populations was observed, but haplotype variations have also been reported across populations. Conflicting observations on the extent and distribution of haplotypes require careful examination. The mechanisms that shape haplotypes have not been fully explored, although the effect of sample size has been implicated. We present a close examination of the effect of sample size on haplotype blocks using an original computational simulation.
Results: A region spanning 19.31 Mb on chromosome 20q was genotyped for 1,147 SNPs in 725 Japanese subjects. One region of 445 kb exhibiting a single strong LD value (average |D'|; 0.94) was selected for the analysis of sample size effect on haplotype structure. Three different block definitions (recombination-based, LD-based, and diversity-based) were exploited to create simulations for block identification with θ value from real genotyping data. As a result, it was quite difficult to estimate a haplotype block for data with less than 200 samples. Attainment of a reliable haplotype structure with 50 samples was not possible, although the simulation was repeated 10,000 times.
Conclusion: These analyses underscored the difficulties of estimating haplotype blocks. To acquire a reliable result, it would be necessary to increase sample size more than 725 and to repeat the simulation 3,000 times. Even in one genomic region showing a high LD value, the haplotype block might be fragile. We emphasize the importance of applying careful confidence measures when using the estimated haplotype structure in biomedical research.
BioMed Central|Springer Nature
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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