RESUMO
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.
Assuntos
Povo Asiático/genética , Cromossomos Humanos Y/genética , Árvores de Decisões , Genética Forense/métodos , Marcadores Genéticos/genética , Genética Populacional/métodos , Haplótipos/genética , Repetições de Microssatélites/genética , Nomes , China , Frequência do Gene/genética , Humanos , Masculino , LinhagemRESUMO
OBJECTIVE: To develop a simple method for assessment of RNA integrity in laser capture microdissection (LCM) samples. METHODS: The total RNA were isolated from the LCM samples and the sections before and after microdissection and examined by agarose gel electrophoresis. Real-time PCR was employed to assess the RNA from LCM samples, and the quantity of RNA was theoretically estimated according to the average total RNA product in mammalian cells (10 ng/1000 cells). RESULTS: When the total RNA from the sections before and after microdissection was intact, the RNA from LCM samples also had good quality, and the 28S and 18S rRNAs were visualized by ethidium bromide staining. Real-time PCR also showed good RNA quality in the LCM samples. CONCLUSION: A simple method for quantitative and qualitative assessment of the RNA from LCM samples is established, which can also be applied to assessment of DNA or proteins in LCM samples.