To represent the characteristics of a typical GWAS panel, markers from the Affymetrix
Genome-Wide Human SNP Array 6.0, the Illumina
Human1M–Duo Genotyping BeadChip, and the Illumina
HumanOmni1-Quad BeadChip were downloaded from the UCSC genome browser, using the table browser tool [24] . The union of these three arrays consisted of 1,936,864 unique SNPs from the 22 autosomes. Because of its unique LD and genic properties, the MHC region (chr6: 29624809–33160245 on build 37) was excluded from downstream analyses.
LD proxies or “tagging” SNPs (r
2> = 0.8) for the GWAS panel SNPs were identified using VCFtools [25] (
link) based on data from the (N = 379) Europeans (Phase I, version 3, March 14, 2012) in the 1000 Genomes Project [26] (
link).
GWAS “non-hits” were defined as all those SNPs in our union GWAS set which were neither a GWAS “hit” (see below), nor in high LD (r
2> = 0.8) with a GWAS hit.
Gagliano S.A., Barnes M.R., Weale M.E, & Knight J. (2014). A Bayesian Method to Incorporate Hundreds of Functional Characteristics with Association Evidence to Improve Variant Prioritization. PLoS ONE, 9(5), e98122.