title: Unbiased discordant sib-pair tests when parental genotypes are missing.
abstract: Population admixture and stratification are potential sources of confounding in a variety of statistical analyses of genetic data. Many approaches to adjusting for such confounding have been developed in the context of association analyses. These approaches may generally be viewed as relying on nonparametric null hypotheses that specify certain, sometimes incompletely observed, conditional distributions; the conditional distributions are used to normalize test statistics to have expectation zero under the null hypothesis. Here, with a very simple example, it is shown that there is potentially information that is free of confounding, but that is not recovered by such normalized statistics. An approach presented here in the context of the simple example might be extended to methods for recovering information in more complex settings.
authors: Department of Statistics, Columbia University, New York, New York 10027, USA. dan@stat.columbia.edu
authors: D
authors: D
authors: Rabinowitz
mesh_terms: D015982:Bias; D005260:Female; D008040:Genetic Linkage; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium / Q000235:genetics*; D008297:Male; D016555:Matched-Pair Analysis; D009679:Nuclear Family; D010290:Parents; D010375:Pedigree