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. 2017 Nov 4;6(10):572–576. doi: 10.1302/2046-3758.610.BJR-2017-0113.R1

Table I.

Gene sets that achieved significance in all three regions.

Pathway name p-value*
Forearm Femoral neck Lumbar spine
Expression quantitative trait loci (eQTL)-based results
GSE17721 PAM3CSK4 vs CPG 12H BMDM up 0.028 0.038 < 0.001
GSE5589 IL6 KO vs IL10 KO LPS and IL10 Stim macrophage 45 minutes up 0.036 0.043 0.002
Module 195 0.042 0.011 0.017
Module 480 0.014 0.005 0.014
NABA ECM glycoproteins 0.049 0.041 0.028
KEGG pathways in cancer 0.049 0.038 0.008
GSE14769 unstim vs 60 minutes LPS BMDM up 0.020 0.008 0.021
YTTCCNNNGGAMR unknown 0.037 0.002 0.032
Darwiche papilloma risk high up 0.040 0.001 0.038
GUO hex targets DN 0.047 0.045 0.024
Module 427 0.047 0.001 0.003
Module 279 0.039 < 0.001 0.003
Methylation quantitative trait loci (meQTL)-based results
Chang cycling genes 0.038 0.010 0.009
GNF2 KISS1 0.043 0.049 0.013
GNF2 MMP11 0.032 0.043 0.013
chr6q14 0.026 0.006 0.030
*

Kolmogorov-Smirnov running sum statistics was used and p-values were decided based on permutation3