TITLE

EFBAT: exact family-based association tests

AUTHOR(S)
Schneiter, Kady; Degnan, James H.; Corcoran, Christopher; Xin Xu; Nan Laird
PUB. DATE
January 2007
SOURCE
BMC Genetics;2007, Vol. 8, p86
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Background: 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.
ACCESSION #
34899262

 

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