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C Kingston

Publications and source records attributed to C Kingston.

6 recordsLinked to original sources
PubMed2002

Characterization of two New York City Jewish populations at six short tandem repeat loci.

The Hasidic and non-Hasidic Jewish communities of New York City represent two subpopulations with long-documented histories of restrictive marriage patterns and a high degree of endogamy. As part of a continuing study into their genetic structure, allele frequencies were determined for the six tetrameric short tandem repeat (STR) loci: FESFPS, F13AO1, vWA, CSF1PO, TPOX, and THO1. All loci were tested for Hardy-Weinberg equilibrium (HWE) by three tests: chi-square analysis, Monte Carlo chi-square analysis. and the exact test. The non-Hasidic population failed to meet HWE at the F13A01, FESFPS, and CSF1PO loci by all three tests. The Hasidic population also failed to meet HWE at the same loci by some of the tests. Comparison of the Hasidic to the non-Hasidic population using an R x C contingency table demonstrated a similarity at only the vWA locus. Significant differences exist when comparing the two Jewish populations to a reference Caucasian population.

Alleles↗
PubMed1998

D1S80 allele frequencies in Hasidic and non-Hasidic New York City Jewish populations.

Allele frequencies were determined for the VNTR locus D1S80 in Hasidic and non-Hasidic Ashkenazi New York City Jewish subpopulations. Samples were amplified via the polymerase chain reaction and underwent genotyping using polyacrylamide gel electrophoresis. In the Hasidic population 14 alleles were observed as opposed to 19 alleles in the non-Hasidic community. Both populations were tested for Hardy-Weinberg equilibrium. The frequency data obtained can be used for comparison to other populations and for allele and genotype frequency estimates in genetic marker profiling of evidentiary specimens.

Alleles↗
PubMed1997

HLA-DQA1 and polymarker allele frequencies in two New York City Jewish populations.

Allele and genotype frequencies were determined for the HLA-DQA1 and Amplitype Polymarker loci (low density lipoprotein receptor (LDLR), glycophorin A (GYPA), hemoglobin G gammaglobin (HBGG), D7S8, and group-specific component (Gc)) in Hasidic and non-Hasidic Ashkenazi New York City Jewish subpopulations. For all loci tested, except HBGG, the 2 subpopulations meet the assumption of Hardy-Weinberg equilibrium. Comparison of various allele and genotype frequencies for the Hasidic and the non-Hasidic groups showed no significant differences. Comparison of the various allele frequencies in the two subpopulations to another Caucasian group revealed significant differences at the HLA-DQA1 and D7S8 loci in the Hasidic group. These frequency data can be used for comparison to other populations and for frequency estimates in DNA profiling.

Blood Grouping and Crossmatching↗
PubMed1992

Neural networks in forensic science.

Neural networks were developed to study and mimic the functioning of the human brain. Humans are good at pattern recognition; the question is how good neural networks are at it, particularly with problems of forensic science interest. Simulation experiments with a type of neural network known as a Hopfield net indicate that it may have value for the storage of toolmark patterns (including bullet striation patterns) and for the subsequent retrieval of the matching pattern using another mark by the same tool for input. Another type of neural network, the back-propagation network (BPN), is useful for applications similar to those for which standard statistical methods of pattern classification can be used. This would be an appropriate approach to the matching of general component patterns, such as gas chromatograms of gasoline, or pyrolysis patterns from materials of forensic science interest, such as paint. The BPN may provide better results than statistical methods, but it is currently necessary to try both to determine which would be best for any given situation.

Forensic Medicine↗