PLINK [Purcell et al., 2007] was used to conduct all association analyses. The principal test for association was the 1 degree-of-freedom Cochran-Armitage trend test. For each analysis, multiple testing correction was accomplished using the false discovery rate approach [Benjamini and Hochberg, 1995; Benjamini et al., 2001]. Haplotype analyses using tagging SNPs were also performed. Haplotype blocks for these 5,151 SNPs were defined using the TAGGER method in Haploview 4.0 [Barrett et al., 2005]. The Haploview algorithm creates blocks if 95% of informative comparisons are in strong linkage disequilibrium. These blocks, ranging in size from 2 SNPs to 79 SNPs (chr 14), were then imported into PLINK for haplotype analysis. Because linkage disequilibrium was used to generate haplotype blocks, the sliding window method for haplotype analysis was not applied. Quanto [Gauderman, 2002] was used to approximate statistical power (0.80) given the following assumptions: two-tailed P = 9.7 × 10−6 (Bonferroni correction for 5,151 SNPs), lifetime morbid risk of AN of 0.009 [Hudson et al., 2007], and a log additive genetic model. For the broad phenotype, All AN, (1,085 AN cases, 677
