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Genuine Bayesian multiallelic significance test for the Hardy-Weinberg equilibrium law
Pereira, C. A; Nakano, F; Stern, J. M; Whittle, M. R.
Affiliation
  • Pereira, C. A; Universidade de São Paulo. Instituto de Matemática e Estatística & BioInfo. Núcleo de Bioinformática. São Paulo. BR
  • Nakano, F; Universidade de São Paulo. Instituto de Matemática e Estatística & BioInfo. Núcleo de Bioinformática. São Paulo. BR
  • Stern, J. M; Universidade de São Paulo. Instituto de Matemática e Estatística & BioInfo. Núcleo de Bioinformática. São Paulo. BR
  • Whittle, M. R; Genomic Engenharia Molecular. São Paulo. BR
Genet. mol. res. (Online) ; Genet. mol. res. (Online);5(4): 619-631, 2006. graf, tab
Article in En | LILACS | ID: lil-482093
Responsible library: BR1.1
ABSTRACT
Statistical tests that detect and measure deviation from the Hardy-Weinberg equilibrium (HWE) have been devised but are limited when testing for deviation at multiallelic DNA loci is attempted. Here we present the full Bayesian significance test (FBST) for the HWE. This test depends neither on asymptotic results nor on the number of possible alleles for the particular locus being evaluated. The FBST is based on the computation of an evidence index in favor of the HWE hypothesis. A great deal of forensic inference based on DNA evidence assumes that the HWE is valid for the genetic loci being used. We applied the FBST to genotypes obtained at several multiallelic short tandem repeat loci during routine parentage testing; the locus Penta E exemplifies those clearly in HWE while others such as D10S1214 and D19S253 do not appear to show this.
Subject(s)
Key words
Full text: 1 Collection: 01-internacional Database: LILACS Main subject: Polymorphism, Genetic / Bayes Theorem / Alleles / Models, Genetic Type of study: Prognostic_studies Language: En Journal: GMR / Genet Mol Res / Genet. mol. res. (Online) / Genetics and molecular research Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2006 Document type: Article Affiliation country: Brazil Country of publication: Brazil
Full text: 1 Collection: 01-internacional Database: LILACS Main subject: Polymorphism, Genetic / Bayes Theorem / Alleles / Models, Genetic Type of study: Prognostic_studies Language: En Journal: GMR / Genet Mol Res / Genet. mol. res. (Online) / Genetics and molecular research Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2006 Document type: Article Affiliation country: Brazil Country of publication: Brazil