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Brazilian population data on the polymerase chain reaction-based loci LDLR, GYPA, HBGG, D7S8, and Gc.

作者信息

Soares-Vieira José Arnaldo, Billerbeck Ana Elisa C, Iwamura Edna S M, Otto Paulo A

机构信息

Departamento de Medicina Legal, Faculdade de Medicina, Universidade de São Paulo, Brasil, Instituto Oscar Freire, Rua Teodoro Sampaio 115, São Paulo, SP Cep 05405-000, Brasil.

出版信息

Am J Forensic Med Pathol. 2003 Sep;24(3):283-7. doi: 10.1097/01.paf.0000083601.81714.eb.

DOI:10.1097/01.paf.0000083601.81714.eb
PMID:12960666
Abstract

Gene and genotype frequencies in relation to the low density lipoprotein receptor (LDLR), glycophorin A (GYPA), hemoglobin G gammaglobin (HBGG), D7S8, and group specific component (Gc) loci were determined in a sample of 344 unrelated individuals (250 whites and 94 mulattoes) living in the city of São Paulo, Brazil. DNA was extracted from 5 mL of peripheral blood obtained from each of the 344 volunteers by the salting-out procedure. Polymerase chain reaction and reverse dot-blot analysis were performed with the Amplitype PM PCR Amplification and Typing Kit (Polymarker Multiplex; Applied Biosystems, Foster City, CA) under conditions recommended by the manufacturer. Estimated allele frequencies in the white sample were in the usual range of that of other United States and European population groups. In any case, genotype distributions for these loci did not deviate significantly from Hardy-Weinberg equilibrium proportions. Only 1 marginally significant (0.01 < P < 0.05) association, between loci HBGG and Gc, was detected in our mulatto sample out of a total of 20 possible pairwise comparisons of the 5 loci for both data sets. Allele frequencies were significantly different (P < 0.001) at the HBGG and Gc loci when the white and mulatto samples were compared. Biologic relationship exclusion probabilities (test powers) were calculated for the data. A Brazilian database has thus been established for the loci LDLR, GYPA, HBGG, D7S8, and Gc, 5 polymerase chain reaction-based loci systems that have been shown to be a useful tool for biologic relationship identification and exclusion.

摘要

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