EFBAT: Exact Family-Based Association Tests
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CitationSchneiter, Kady, James H. Degnan, Christopher Corcoran, Xin Xu, and Nan Laird. 2007. EFBAT: exact family-based association tests. BMC Genetics 8:86.
AbstractBackground: Family-based association tests are important tools for investigating genetic risk factors of complex diseases. These tests are especially valuable for being robust to population structure. We introduce a tool, EFBAT, which performs exact family-based tests of association for X-chromosome and autosomal biallelic markers. Results: The program EFBAT extends a network algorithm previously applied to autosomal markers to include the X-chromosome and to perform tests of association under the null hypotheses "no association, no linkage" and "no association in the presence of linkage" under additive, dominant and recessive genetic models. These tests are valid regardless of patterns of missing familial data. Conclusion: The general framework for performing exact family-based association tests has been usefully extended to the X-chromosome, particularly for the hypothesis of "no association in the presence of linkage" and for different genetic models.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4589701
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