Because of the strong polygenic signal identified in the GWAS of EXT, four different gene-based analyses identified an abundance of implicated genes (>3,000): (1) functional annotation of the 579 SNPs to their nearest gene with FUMA26, which suggested 587 genes; (2) MAGMA gene-based association analysis27, which identified 928 Bonferroni-significant genes (one-sided P < 2.74×10−6); (3) H-MAGMA28, a method that assigns non-coding SNPs to cognate genes based on chromatin interactions in adult brain tissue and which identified 2,033 Bonferroni-significant genes (one-sided P < 9.84×10−7); and (4) S-PrediXcan29, which uses transcriptome-based analyses of predicted gene expression in 13 brain tissues and which identified 348 Bonferroni-significant gene-tissue pairs (two-sided P < 2.73×10−7).
