PubMed · 15412516
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P T GREEN. 1950. Platelet counts.. https://pubmed.ncbi.nlm.nih.gov/15412516/
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We report the development of a multiplex reverse transcription-polymerase chain reaction (RT-PCR) method for the definitive identification of the body fluids that are commonly encountered in forensic casework analysis, namely blood, saliva, semen, and vaginal secretions. Using selected genes that we have identified as being expressed in a tissue-specific manner we have developed a multiplex RT-PCR assay which is composed of eight body fluid-specific genes and that is optimized for the detection of blood, saliva, semen, and vaginal secretions as single or mixed stains. The genes include beta-spectrin (SPTB) and porphobilinogen deaminase (PBGD) for blood, statherin (STATH) and histatin 3 (HTN3) for saliva, protamine 1 (PRM1) and protamine 2 (PRM2) for semen, and human beta-defensin 1 (HBD-1) and mucin 4 (MUC4) for vaginal secretions. The known or presumed functions of these genes suggest an extremely restricted pattern of gene expression, which is a basic requirement for incorporation into a tissue-specific assay. The methodology is based upon gene expression profiling analysis in which the body fluid-specific genes are identified by detecting the presence of appropriate mRNA species using capillary electrophoresis/laser induced fluorescence. An mRNA-based approach, such as the multiplex RT-PCR method described in the present work, allows for the facile identification of the tissue components present in a body fluid stain and could supplant the battery of serological and biochemical tests currently employed in the forensic serology laboratory.
The coefficient of variation is often used as a measure of precision and reproducibility of data in medical and biological science. This paper considers the problem of making inference about the common population coefficient of variation when it is a priori suspected that several independent samples are from populations with a common coefficient of variation. The procedures for confidence interval estimation and hypothesis testing are developed based on the concepts of generalized variables. The coverage properties of the proposed confidence intervals and type-I errors of the proposed tests are evaluated by simulation. The proposed methods are illustrated by a real life example.
We have investigated the susceptibility of degraded human hair shaft samples to contamination by exogenous sources of DNA, including blood, saliva, skin cells, and purified DNA. The results indicate that on the whole hair shafts are either largely resistant to penetration by contaminant DNA, or extremely easy to successfully decontaminate. This pertains to samples that are both morphologically and biochemically degraded. We suggest that this resistance to the incorporation of contaminant DNA relates to the hydrophobic and impermeable nature of the keratin structures forming the hair shaft. Therefore, hair samples represent an important and underestimated source of DNA in both forensic and ancient DNA studies.