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Selforganizology, 2014, 1(3-4): 138-142
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Article

Pattern classification of HLA-DRB1 alleles, human races and populations: Application of self-organizing competitive neural network

WenJun Zhang1,2, YanHong Qi3
1School of Life Sciences, Sun Yat-sen University, Guangzhou, China
2International Academy of Ecology and Environmental Sciences, Hong Kong
3Libraries of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China

Received 29 May 2014;Accepted 6 July 2014;Published online 1 December 2014
IAEES

Abstract
HLA-DRB1 gene is concerned with human immune systems. There are about 300 alleles of HLA-DRB1 gene. The self-organizing competitive neural network was used in present study to make non-supervisory classification on 14 HLA-DRB1 alleles, and 54 human races and populations (Zhang and Qi, 2005). It was found that HLA-DRB1-0901 and 1402 are similar to each other in the distribution in human races and populations. There were higher similarity between HLA-DRB1-0101 and 0302, and between HLA-DRB1-0701 and 0301. The results showed that there were significant differences among the various races and there were similarities among populations in the same race. South America Indians and Siberians are highly similar to each other. There was relatively significant difference between Northern Chinese and Southern Chinese. Han Chinese in Guangdong was similar to ethnic minorities such as the Lahu Chinese and Yao Chinese.

Keywords self-organizing competitive neural network;pattern classification;HLA-DRB1 alleles;human races and populations.


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