title: EFBAT: exact family-based association tests.
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.
  
  
  CONCLUSIONS
  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.
authors: Department of Mathematics and Statistics, Utah State University, 3900 Old Main Hill, Logan, UT 84322-3900, USA. kady.schneiter@usu.edu
authors: Kady
authors: K
authors: Schneiter
authors: James H
authors: JH
authors: Degnan
authors: Christopher
authors: C
authors: Corcoran
authors: Xin
authors: X
authors: Xu
authors: Nan
authors: N
authors: Laird
mesh_terms: D041321:Chromosomes, Human, X; D050172:Genes, X-Linked; D008040:Genetic Linkage; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D006801:Humans; D008957:Models, Genetic; D040641:Quantitative Trait Loci / Q000235:genetics*; D012984:Software
chemical_list: D005819:Genetic Markers