Volume 19, Issue S1 pp. S36-S42
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Implementing a unified approach to family-based tests of association

Nan M. Laird

Corresponding Author

Nan M. Laird

Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts

Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115===Search for more papers by this author
Steve Horvath

Steve Horvath

Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts

Institute for Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn, Germany

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Xin Xu

Xin Xu

Program in Population Genetics, Harvard School of Public Health, Boston, Massachusetts

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Abstract

We describe a broad class of family-based association tests that are adjusted for admixture; use either dichotomous or measured phenotypes; accommodate phenotype-unknown subjects; use nuclear families, sibships or a combination of the two, permit multiple nuclear families from a single pedigree; incorporate di- or multi-allelic marker data; allow additive, dominant or recessive models; and permit adjustment for covariates and gene-by-environment interactions. The test statistic is the covariance between a user-specified function of the genotype and a user-specified function of the trait. The distribution of the statistic is computed using the appropriate conditional distribution of offspring genotypes that adjusts for admixture. Genet. Epidemiol. 19(Suppl 1):S36–S42, 2000. © 2000 Wiley-Liss, Inc.

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