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Minor differences in haplotype frequency estimates can produce very large differences in heterogeneity test statistics

BACKGROUND: Tests for association between a haplotype and disease are commonly performed using a likelihood ratio test for heterogeneity between case and control haplotype frequencies. Using data from a study of association between heroin dependence and the DRD2 gene, we obtained estimated haplotype...

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Detalles Bibliográficos
Autores principales: Curtis, David, Xu, Ke
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1919392/
https://www.ncbi.nlm.nih.gov/pubmed/17597526
http://dx.doi.org/10.1186/1471-2156-8-38
Descripción
Sumario:BACKGROUND: Tests for association between a haplotype and disease are commonly performed using a likelihood ratio test for heterogeneity between case and control haplotype frequencies. Using data from a study of association between heroin dependence and the DRD2 gene, we obtained estimated haplotype frequencies and the associated likelihood ratio statistic using two different computer programs, MLOCUS and GENECOUNTING. We also carried out permutation testing to assess the empirical significance of the results obtained. RESULTS: Both programs yielded similar, though not identical, estimates for the haplotype frequencies. MLOCUS produced a p value of 1.8*10(-15 )and GENECOUNTING produced a p value of 5.4*10(-4). Permutation testing produced a p value 2.8*10(-4). CONCLUSION: The fact that very large differences occur between the likelihood ratio statistics from the two programs may reflect the fact that the haplotype frequencies for the combined group are not constrained to be equal to the weighted averages of the frequencies for the cases and controls, as they would be if they were directly observed rather than being estimated. Minor differences in haplotype frequency estimates can result in very large differences in the likelihood ratio statistic and associated p value.