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Family-based tests of association in the presence of linkage.
Bertram L, Hayward B, Lake SL, Falls K, Van Erdewegh P, Blacker D. Family-based tests of association in the presence and absence of known linkage.
We use model-based matching to conduct stratified permutation tests of association between the treatment and outcome, controlling for other variables.
All statistical tests of association were two-sided and a p value of <0.05 was deemed to be statistically significant.
We found no evidence of significant association of this polymorphism with risk of AD using family-based and case-control tests of association.
CLR and GEE were valid tests of association in the presence of linkage, but type I error was inflated for association without linkage, particularly with GEE.
Here, we develop a method for tests of association for bivariate quantitative traits in families.
Results from global gene-based tests of association are included in Table 1.
Single locus, haplotype, and multi-locus tests of association were performed.
In addition to single-marker tests of association in the GWAS, we also report results from gene- and gene-group-level tests of association of 359 candidate genes in 30 functional groups.
All statistical analyses, including tests of association were performed using PLINK Version 1.05 (http://pngu.mgh.harvard.edu/purcell/plink/) [15], [16].
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