title: Testing for homogeneity of gametic disequilibrium across strata.
abstract: BACKGROUND
  Assessing the non-random associations of alleles at different loci, or gametic disequilibrium, can provide clues about aspects of population histories and mating behavior and can be useful in locating disease genes. For gametic data which are available from several strata with different allele probabilities, it is necessary to verify that the strata are homogeneous in terms of gametic disequilibrium.
  
  
  RESULTS
  Using the likelihood score theory generalized to nuisance parameters we derive a score test for homogeneity of gametic disequilibrium across several independent populations. Simulation results demonstrate that the empirical type I error rates of our score homogeneity test perform satisfactorily in the sense that they are close to the pre-chosen 0.05 nominal level. The associated power and sample size formulae are derived. We illustrate our test with a data set from a study of the cystic fibrosis transmembrane conductance regulator gene.
  
  
  CONCLUSIONS
  We propose a large-sample homogeneity test on gametic disequilibrium across several independent populations based on the likelihood score theory generalized to nuisance parameters. Our simulation results show that our test is more reliable than the traditional test based on the Fisher's test of homogeneity among correlation coefficients.
authors: Key Laboratory for Applied Statistics of MOE and School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, China. yinxl805@nenu.edu.cn
authors: Xiaolin
authors: X
authors: Yin
authors: Wenqing
authors: W
authors: Ma
authors: Manlai
authors: M
authors: Tang
authors: Jianhua
authors: J
authors: Guo
mesh_terms: D000483:Alleles; D016009:Chi-Square Distribution; D003198:Computer Simulation; D019005:Cystic Fibrosis Transmembrane Conductance Regulator / Q000235:genetics; D003627:Data Interpretation, Statistical; D005787:Gene Frequency; D005828:Genetics, Population / Q000706:statistics & numerical data; D006239:Haplotypes; D006801:Humans; D016013:Likelihood Functions; D015810:Linkage Disequilibrium; D015233:Models, Statistical; D011336:Probability; D012107:Research Design
chemical_list: D019005:Cystic Fibrosis Transmembrane Conductance Regulator