Genetic Polymorphism and Forensic Application of 47 Autosomal InDel Loci in 5 Chinese Ethnic Groups.

ABSTRACT: Objective To investigate the population genetic data of 47 autosomal insertion/deletion （InDel） polymorphism genetic markers involved in AGCU InDel 50 kit in Guangdong Han, Guangxi Zhuang, Guangxi Yao, Guangxi Jing, and Guangxi Mulam, and to evaluate their application in forensic DNA identification. Methods Multiplex amplification of the 768 unrelated individuals from the 5 ethnic groups mentioned above was performed with the AGCU InDel 50 kit. Genotyping was carried out by 3500xL gene analyzer, population genetic parameters were gathered and polymorphism analysis was performed. Results No linkage disequilibrium was found among 47 autosomal InDel loci in the 5 ethnic groups. The distribution of genotype frequency of 47 autosomal InDel loci confirmed to the Hardy-Weinberg equilibrium in Guangdong Han and Guangxi Zhuang. Except for rs139934789, the other 46 loci confirmed to the Hardy-Weinberg equilibrium in Guangxi Yao, Guangxi Jing, and Guangxi Mulam. The results of genetic variation analysis among the populations showed that 1.12% of genetic variation was caused by ethnic group differences. The cumulative discrimination power of 47 autosomal InDel loci for the 5 ethnic groups were all above 0.999 999 999 999 999. The cumulative probability of exclusion for each ethnic group was less than 0.999 9. The two Y-InDels were identified in all male individuals and were absent in all female individuals. Conclusion Except for rs139934789, the other 46 InDel loci have a relatively good genetic polymorphism in the 5 Chinese ethnic groups, and can be used for forensic individual identification and as effective supplements for paternity testing.

Computational Identification of Tumor Anatomic Location Associated with Survival in 2 Large Cohorts of Human Primary Glioblastomas.

BACKGROUND AND PURPOSE: Tumor location has been shown to be a significant prognostic factor in patients with glioblastoma. The purpose of this study was to characterize glioblastoma lesions by identifying MR imaging voxel-based tumor location features that are associated with tumor molecular profiles, patient characteristics, and clinical outcomes. MATERIALS AND METHODS: Preoperative T1 anatomic MR images of 384 patients with glioblastomas were obtained from 2 independent cohorts (n = 253 from the Stanford University Medical Center for training and n = 131 from The Cancer Genome Atlas for validation). An automated computational image-analysis pipeline was developed to determine the anatomic locations of tumor in each patient. Voxel-based differences in tumor location between good (overall survival of >17 months) and poor (overall survival of <11 months) survival groups identified in the training cohort were used to classify patients in The Cancer Genome Atlas cohort into 2 brain-location groups, for which clinical features, messenger RNA expression, and copy number changes were compared to elucidate the biologic basis of tumors located in different brain regions. RESULTS: Tumors in the right occipitotemporal periventricular white matter were significantly associated with poor survival in both training and test cohorts (both, log-rank P < .05) and had larger tumor volume compared with tumors in other locations. Tumors in the right periatrial location were associated with hypoxia pathway enrichment and PDGFRA amplification, making them potential targets for subgroup-specific therapies. CONCLUSIONS: Voxel-based location in glioblastoma is associated with patient outcome and may have a potential role for guiding personalized treatment.