A Unified Approach to Adjusting Association Tests for Population Admixture with Arbitrary Pedigree Structure and Arbitrary Missing Marker InformationRabinowitz D.a · Laird N.b
aDepartment of Statistics, Columbia University, New York, N.Y., and bDepartment of Biostatistics, Harvard School of Public Health, Boston, Mass., USA
A general approach to family-based examinations of association between marker alleles and traits is proposed. The approach is based on computing p values by comparing test statistics for association to their conditional distributions given the minimal sufficient statistic under the null hypothesis for the genetic model, sampling plan and population admixture. The approach can be applied with any test statistic, so any kind of phenotype and multi-allelic markers may be examined, and covariates may be included in analyses. By virtue of the conditioning, the approach results in correct type I error probabilities regardless of population admixture, the true genetic model and the sampling strategy. An algorithm for computing the conditional distributions is described, and the results of the algorithm for configurations of nuclear families are presented. The algorithm is applicable with all pedigree structures and all patterns of missing marker allele information.
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Received: Received: February 2, 1999
Revision received: March 23, 1999
Accepted: April 1, 1999
Number of Print Pages : 13
Number of Figures : 1, Number of Tables : 10, Number of References : 15
Human Heredity (International Journal of Human and Medical Genetics)
Founded 1950 as Acta Genetica et Statistica Medica by Gunnar Dahlberg; Continued by M. Hauge (1965–1983)
Vol. 50, No. 4, Year 2000 (Cover Date: July-August 2000 (Released April 2000))
Journal Editor: J. Ott, New York, N.Y.
ISSN: 0001–5652 (print), 1423–0062 (Online)
For additional information: http://www.karger.ch/journals/hhe