It is important to consider several limitations for this convergent, replicated genome wide data. The sizes available for many of the samples from which data is reviewed here provide moderate power, at best, to detect gene variants. False negative results are likely since we require positive data from each of the several samples. The likelihood of false negatives is also increased since we require positive results from several SNPs from at least two array types that cluster within small chromosomal regions, making it easier to miss modest association signals within small genes that contain few SNPs or genes whose SNPs lie on only one array type. We have recently reassessed the relatively large numbers (6,734) of currently-annotated genes for which there is no possibility of detection, using 500k array data and the criteria that a gene must be identified by “at least three clustered (25kb) SNPs from at least two array types lying within the gene’s exons, introns or 10kb flanking sequences”. Genes that do not have the requisite numbers of SNPs with these characteristics are listed in the Supplement,
