人类HLA-DRB1基因型与民族和人群的神经网络无监督模式分类

HLA-DRB1等位基因主要参与人类的抗原免疫功能,对其进行比较研究,有助于追溯人类的进化迁移史,开发类群特异性药物.本研究以Matlab为平台,用自组织竞争网络(Self-Organizing Competitive Neural Network),对世界54个民族和人群、14个HLA-DRB1等位基因,进行了无监督模式分类.结果表明,各民族之间存在差异性,同民族的各人群之间有相似性.西伯利亚各人群,澳洲各土著人群,黑人各人群,南美印第安各人群,犹太族各人群,日本各人群,及欧美白人各人群有相对独立性:南美印第安人与西伯利亚人有高度相似性;中国民族在南方人群和北方人群间存在较大差异;中国汉族中,广东汉族地位特殊,与少数民族如拉祜族、瑶族关系密切.

Pattern Classification of HLA-DRB1 Alleles and Human Races Using Self-Organizing Competitive Neural Network

HLA-DRB1 gene is significant in human immune systems. There are about 300 alleles for HLA-DRB1 gene. Studies on HLA-DRB1 are important to understand migration and evolution of human races and populations. In this study we used Self-Organizing Competitive Neural Network to conduct non-supervisory classification on HLA-DRB1 alleles and human races and populations. Some conclusions were drawn. HLA-DRB1-0901 and 1402 are similar to each other in the distribution in human races and populations. There are higher similarity between HLA-DRB1-0101 and 0302, and between HLA-DRB1-0701 and 0301. The results showed that the Indians of South America are similar to Siberians. There are relatively significant difference between South and North China in human races and populations.