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A new human leukocyte antigen (HLA) B allele was found in a healthy male Chinese Kazak individual. Sequencing-based typing (SBT) was used to identify and analyze the difference between the new allele and the closest matching HLA-B allele. HLA-B(∗)46 new allele has 1nt change from B(∗)46:01:01 at nt 853 where G->C (condon 260 GTA->CTA), resulting in a coding change: 260 Val is changed to Leu. The new HLA-B(∗)46:34 allele was identified, and was named officially by the World Health Organization (WHO) Nomenclature Committee in June 2012. The GenBank sequence accession number is JX035785., (Copyright © 2012 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.)

Abstract: Population genetic data of 21 autosomal short tandem repeats (STRs) were obtained in a sample of 106 unrelated healthy individuals of Bai ethnic minority born in the Dali Bai Autonomous Prefecture in Yunnan Province. We observed 138 alleles with corresponding allelic frequencies ranging from 0.005 to 0.575. The genotypic frequency distributions at those STR loci were consistent with Hardy–Weinberg equilibrium (Bonferroni’s correction was used for Hardy–Weinberg equilibrium tests). The combined probability of exclusion, power of discrimination, probability of matching value for all 21 STR loci were 0.9999975729, 0.999999999999999999872 and 1.28×10−19, respectively. The population data in this study showed significant differences from the previously published population data of Tibetan and Salar groups in some loci. [Copyright &y& Elsevier]

Abstract: A new human leukocyte antigen (HLA) B allele was found in a healthy male Chinese Kazak individual. Sequencing-based typing (SBT) was used to identify and analyze the difference between the new allele and the closest matching HLA-B allele. HLA-B∗46 new allele has 1nt change from B∗46:01:01 at nt 853 where G->C (condon 260 GTA->CTA), resulting in a coding change: 260 Val is changed to Leu. The new HLA-B∗46:34 allele was identified, and was named officially by the World Health Organization (WHO) Nomenclature Committee in June 2012. The GenBank sequence accession number is JX035785. [Copyright &y& Elsevier]

In the present study, we investigated the genetic polymorphisms of 20 novel STR loci and one previously studied locus in the Xibe ethnic group from China, as well as its genetic relationships with neighboring populations. Totally 226 unrelated healthy Xibe individuals were involved in the study. At least 5 alleles were observed for each locus, with the minimum and maximum allelic frequencies of 0.0022 and 0.5221, respectively. We obtained the lowest and highest observed heterozygosity and expected heterozygosity at locus D1S1627 and D19S433, respectively. The values of combined power of discrimination and probability of exclusion of all the 21 STR loci were 0.99999999999999999997310 and 0.999998650, respectively. Analyses of interpopulation differentiation, principal component analysis, genetic distance and phylogenetic tree revealed the relationships between Xibe group and its neighboring groups, showing that the studied Xibe group had a close genetic relationship with the Mongolian group. The present results indicated that these 21 STR loci had high genetic polymorphisms in the studied Xibe group, and were capable for the paternity testing and individual identification in forensic application. [ABSTRACT FROM AUTHOR]

• Different allele distributions of 27 Y-STRs were observed in Zhanjiang four surnames. • A decision tree was developed to predict surname origins of Zhanjiang four surnames. • 27 Y-STRs were useful for forensic male identifications in Zhanjiang four surnames. Co-separation studies between surnames and Y chromosome genetic markers are beneficial to revealing population migrations, surname origins, population formation histories and forensic familial searching. Genetic distributions of 27 Y-STRs in Chinese four surnames (Li, Lin, Chen and Huang) from Zhanjiang Han population were investigated. Meanwhile, we tried to develop a decision tree model for surname predictions based on Y-STR haplotypes. Allelic frequencies of 27 Y-STRs showed that unique alleles were only observed in a certain surname; besides, some alleles displayed higher frequencies in a certain surname than those in other surnames, implying these alleles might be employed as the useful indicators for surname predictions. Haplotype match probability values of 27 Y-STRs in these surnames revealed that the system could be used as a valuable tool for forensic male identification. The developed decision tree model performed well for the training set with the accuracy of 0.9860 and obtained the relatively high accuracy (>0.70) for surname predictions of the testing set. To sum up, we explored the power of the machine learning to the surname predictions based on obtained Y-STR haplotypes, which showed promising application values in forensic familial searching. [ABSTRACT FROM AUTHOR]