Examination of Y-STR mutations in sex chromosomal abnormality in forensic cases

The Y-STR typing was carried out on eight DNA samples (three from criminal cases) demonstrating Klinefelter's syndrome. STR types in the X chromosome were randomly distributed. However, some Y-STR markers were distributed within the normal range but restricted to only one or two specific alleles, that is, some specific haplotypes were found in Klinefelter's syndrome. In addition, a single nucleotide polymorphism in DYS390 (transversion of G to A at the 28th position downstream of tandem repeats) was detected in Klinefelter samples. This Y-STR polymorphism and restricted Y-STR alleles in Klinefelter's syndrome is not known, but it might be related to the genesis of Klinefelter's syndrome. We also found that extended standard haplotypes of these samples are extremely rare in the normal population, according to the Y-STR haplotype reference database (YHRD). The extended standard haplotype database in a Japanese population is also reported. In 100 unrelated Japanese, 89 haplotypes were observed, and the haplotype diversity was calculated to be 0.9866.     

Allele sequences of six new Y-STR loci and haplotypes in the Chinese Han population

Human chromosome Y-specific short tandem repeat (Y-specific STR) markers have useful properties for forensic applications. However, there is a need to develop more Y-specific STR markers, because the discriminating power of each STR locus is limited. In the present study, we describe our results on six new Y-specific STR markers that were initially located using sequence database information by Ayub et al. and were named DYS434, DYS435, DYS436, DYS437, DYS438 and DYS439. Our studies focused on the analysis of the DNA sequence for each allele at all six Y-specific STR loci in order to understand their structures in the human genome and to construct human allelic ladders, which are necessary for forensic DNA typing. In addition, the haplotype distribution for all six analyzed loci was studied in a Chinese Han population sample. The results indicate that DYS434, DYS435, DYS436, DYS437, DYS438 and DYS439 are useful Y-specific STR markers for forensic sciences.     

Systematic analysis of bulk blue ballpoint pen ink by FTIR spectrometry

A classifying method on bulk blue ballpoint pen ink has been studied by Fourier transform infrared (FTIR) spectroscopy. By using this method, a total of 108 blue ink samples have been divided into two groups depending on their main component. Spectral characteristics of these inks such as frequency and absorbance are described by way of artificial intelligence of pattern recognition, and 35 subgroups from the 108 inks are distinguished by their correlation coefficient (lambda). Under heat or exposure to ultraviolet light a mode of change in the age of the inks has been obtained. This approach has provided a reliable and nondestructive method for the characterization of bulk ballpoint writing ink, and more importantly, it might be a basis for dating of the blue ballpoint pen ink.     

A study of sex identification of trace, dried bloodstains using a Y-chromosome-specific deoxyribonucleic acid (DNA) probe

A new method is discussed which examines trace, dried bloodstains by gel in situ hybridization using a Y-chromosome-specific deoxyribonucleic acid (DNA) probe to determine the sex of the bloodstain for forensic medicine application. The complete DNA is transferred directly by electrophoresis onto the gel intact, bypassing the possibilities of impurities contaminating the sample and of DNA degradation. The method has proven accurate for small (2.5-mm-diameter) samples aged up to eight years and is quick, simple, and easily read.     

Sex diagnosis of Chinese skulls using multiple stepwise discriminant function analysis.

Sixty Chinese skulls (30 males and 30 females) from Liaoning Province of the People's Republic of China were used in this study. Forty-one variables on each skull were measured and one group of 14 and a second group of 5 variables were selected from all the variables by applying multiple stepwise regression on a computer. Discriminant equations for the 14 and 5 variables for sex diagnosis have been obtained and these variables are highly significant. The discriminant rate for the group of 5 variables resulted in accurate sex determination in 96.7% of cases. For the group of 14 variables there was 100% success rate.