Population Genetics of HPRTB, F13B, and LPL inPernambuco, Northeast Brazil

Abstract

One hundred thirty-four unrelated Northeast Brazilian individuals were typed for the HPRTB, F13B, and LPL short tandem repeats (STRs). DNA was amplified by specific primers and identified by silver staining of polyacrylamide gels. The allelic frequencies of these loci were in agreement with Hardy-Weinberg proportions. The most frequent alleles were HPRTB*13, F13B*10, LPL*10. The combined probability of paternity and the discrimination power of these 3 STRs were high, permitting their utilization for forensic science purposes.

13 STR loci frequencies in the population from Paraíba, Northeast Brazil

“…The population in the Northeast Region can be characterized as mixed, having originated from African, Caucasian and Native American ancestral individuals. This study is related to a long-term project of investigation of people from this region [1][2][3][4][5][6][7].…”

“…Comparisons involved five other populations [1][2][3][4][5][6][7] of Northeast Brazil, one of Portugal and one of Andalusia [14] (Fig. 2).…”

Genetic analysis of 13 STR loci in the population from the State of Pernambuco, northeast Brazil

“…Population: The Brazilian populations [1][2][3][4][5] have been studied for the loci CSF1PO, TPOX, TH01, F13A1, vWA, D16S539, D7S820, D13S317, D18S51, D21S11, and D8S1179 and this has been the first paper on the northeast Brazilian population encompassing this number of loci. As well as the State of Piaui [1] and of the Rio Grande do Norte [2], the population of the State of Pernambuco can be characterized as an exogamic population, composed of individuals of African, Caucasian and Native American ancestry individuals, and for this reason we have choose this population for our studies.…”

Analysis of five polymorphic DNA markers for indirect genetic diagnosis of haemophilia A in the Brazilian population

“…Genotyping errors can be ruled out because genotyping errors would lead to the same disequilibrium being present in the other samples. Previous studies [23][24][25] in the same region (PE) did not show any special characteristics that could explain the disequilibrium. The disequilibrium is probably due to the small size of the female subsample (n = 28) on which our computations were based.…”