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Table 3 Predictive importance values of the set of SNPs that generate optimal predictive performance in both cohorts. Nearest genes are listed for intergenic SNPs (marked with asterisk)

From: Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeq® and Framingham Heart Study cohorts

SNP Locus Predictive importance Predictive importance Percent
   (ClinSeq®;) (FHS) difference
rs13159307 FBXL17 * 28.83 21.64 24.94
rs8107904 EMR2 * 36.95 21.83 40.92
rs571797 NRG3 17.68 6.86 61.20
rs2390285 MACC1 22.86 17.27 24.45
rs342393 NRG3 18.04 15.34 14.97
rs13429160 LOC101927701 35.68 16.89 52.66
rs11674863 LOC101927701 26.18 15.74 39.88
rs514237 NRG3 19.09 24.81 23.06
rs6860493 NNT 20.72 26.39 21.49
rs10054519 C5orf28 21.17 25.25 16.16
rs12521249 PAIP1 * 21.17 25.44 16.78
rs10065689 NNT 20.45 25.55 19.96
rs2241097 TLR5 34.02 24.11 29.13
rs10059993 NNT-AS1 20.82 24.77 15.95
rs12645809 ANTXR2 22.1 25.33 12.75
rs480220 NRG3 19.76 24.01 17.70
rs1366410 NNT 21.15 23.77 11.02
rs11767632 YAE1D1 * 32.09 20.94 34.75
rs7713479 NNT-AS1 21.11 37.48 43.68
rs243172 FOXN3 34.90 46.17 24.41
rs243170 FOXN3 35.91 51.20 29.86
  1. The normalized difference of the predictive importance values of each SNP in two cohorts (difference divided by the higher predictive importance value in the two cohorts) has a median value of 24% (interquartile range:17%-36%). In terms of predictive importance based ranking, five of the top 11 SNP predictors (with 65% of the cumulative predictive importance) are common, whereas nine of the top 14 SNP predictors (with 76% of the cumulative predictive importance) overlap between two cohorts
  2. *Intergenic SNPs for which the nearest genes are reported