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Judging the degree of human alcohol intoxication is an important clinical, social, and medicolegal matter. Assessing the degree of intoxication is not always easy by direct patient observation. Observational instruments have been used in forensic science, medical, and social situations in an endeavor to measure alcohol intoxication. The validity of these observational instruments must be questioned. In this study, twenty-one patients with alcohol related complaints presenting to major city emergency departments were studied using one such observational instrument, the Alcohol Symptom Checklist (ASC). Three independent emergency medicine physicians applied the criteria of ASC to the twenty-one patients and obtained a plasma alcohol concentration (PAC) for correlation purposes. Individual correlation coefficients (r = 0.182, r = 0.202, r = 0.200) and a composite correlation coefficient (r = 0.235) demonstrated lack of correlation between PAC and ASC. This lack of correlation is supported by clinical observations of experienced emergency department personnel. 相似文献
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Barnholtz-Sloan JS Pfaff CL Chakraborty R Long JC 《Journal of forensic sciences》2005,50(6):1322-1326
Population admixture (or ancestry) is used as an approach to gene discovery in complex diseases, particularly when the disease prevalence varies widely across geographic populations. Admixture analysis could be useful for forensics because an indication of a perpetrator's ancestry would narrow the pool of suspects for a particular crime. The purpose of this study was to use Fisher's information to identify informative sets of markers for admixture analysis. Using published founding population allele frequencies we test three marker sets for efficacy for estimating admixture: the FBI CODIS Core STR loci, the HGDP-CEPH Human Genome Diversity Cell Line Panel and the set of 39 ancestry informative SNPS from the Shriver lab at Pennsylvania State University. We conclude that the FBI CODIS Core STR set is valid for admixture analysis, but not the most precise. We recommend using a combination of the most informative markers from the HGDP-CEPH and Shriver loci sets. 相似文献