ABSTRACT
Objective To develop a SNP-STR haplotype by consisting of the SNP and STR genetic markers, both of which locate in a haplotype block. To investigate its distribution in Han population from Chengdu, and explore its application in some special cases of paternity testing. Methods D18S51, one of the high mutation rate STR markers in combined DNA index system (CODIS), and three SNP loci rs8089331, rs8094489 and rs7236090 in its flanking region, were chosen to establish SNP-STR. Its haplotype was obtained by nested allele-specific polymerase chain reaction, and the relevant distribution of 75 unrelated individuals were investigated in Han population from Chengdu. The SNP-STR haplotype was tentatively applied in duo paternity testing cases with D18S51 incompatibility. Results The SNP-STR typing method was established and a total of 43 haplotypes were obtained successfully in Han popula-tion from Chengdu. Its polymorphism was 0.9486, and duo paternity testing cases were resolved by this method. Conclusion SNP-STR shows high diversity and can be applied in the identifications of some special paternity testing cases.
ABSTRACT
OBJECTIVE@#To study the morphological characteristics of femurs of adult human and 11 kinds of adult animals from cattle, horses, pigs, goats, sheep, dogs, cats, rabbits, geese, ducks, chickens, and to establish an effective species identification method among various species.@*METHODS@#The 4 cm mid-diaphyseal segment of the femur from adult human (older than 20 years old) at autopsy was obtained. Addi-tionally, the 4 cm ones from 11 kinds of adult animals were obtained. After decalcification, all femurs were made into slices, and then were observed by optical microscope. The 25 indexes were selected and analyzed by step discriminant analysis according to differences between human and mammal, human and poultry, and human and 11 kinds of animals.@*RESULTS@#The histological structure of bone mineral density of middle part of femur had obvious characteristics among the species. And the morphology and number of osteon showed the trend of obvious biological evolution. There were 11 indexes with significant differences between human and 11 kinds of animals to establish some mathematical models to discriminate all species. The correct discrimination rate was 96.3% between human and mammal. The correct discrimination rate was up to 100% between human and poultry, and was 89.4% among human, mammal and poultry.@*CONCLUSION@#The mathematical models have good correct discrimination rate among human and the other animals, which could be applied in the practical species identification cases.