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        Research Articles
         
        ScienceAsia 32 (2006): 361-364 |doi: 10.2306/scienceasia1513-1874.2006.32.361 
        Minimal Y-chromosomal Haplotype Selection for
Phylogenetic Study using the Bootstrapped DTI Method
         
          Metawee Srikummoola, Jeerayut Chaijaruwanichb, Jatupol Kampuansaia and Daoroong
            Kangwanponga*
            
              ABSTRACT: In our previous report, a decision tree induction (DTI) algorithm proved to be an effective tool to
              measure impurities of categorizing populations and to select the minimum number of Y-microsatellite
              markers, with the highest discriminating power. By using the DTI algorithm to determine the most informative
              loci in four studied hilltribe populations, i.e. the Akha, Hmong, Karen, and Lisu, seven powerful loci for
              phylogenetic reconstruction were selected and validated. However, the accuracy of the DTI algorithm on
              haplotype selection of other hilltribe populations was still in question. Therefore, a bootstrap method was
              applied in this study to the same data and contexts to verify the results of the DTI algorithm. We also
              examined the bootstrap method in a larger sample size and with a larger number of populations. Three
              informative microsatellite loci were selected to differentiate among the populations. When all loci were
              ranked, the three selected loci usually appeared at high potential levels. It can be concluded that we were
              able to regenerate the minimal haplotype⎯ a combination of three selected loci⎯ with a high level of
              confidence for effective phylogenetic study of human populations. 
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            a Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50202, Thailand. 
            b Department of Computer Science, Faculty of Science, Chiang Mai University, Chiang Mai 50202,
            Thailand. 
             
            * Corresponding author, E-mail: scidkngw@chiangmai.ac.th 
             
            Received 6 Jan 2006, 
            Accepted 24 Apr 2006 
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