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. 2014 Sep 19;35(12):2698–2705. doi: 10.1093/carcin/bgu203

Table III.

SNPs with P value <0.001 in two-sided subset search or random-effect meta-analysesa

rs10811474 rs3731239 rs10511729 rs12683422
Location 3′ of IFNW1 CDKN2A intronic 3′ of ELAVL2 LINGO2 intronic
Effect alleleb G C G T
Meta-analysis
 Random-effect P c 0.005 0.19 0.16 0.64
 Two-side subset searchd
  Combined P 0.008 5.21×10 −4 0.006 6.99×10 −4
  P for positive effect 0.001 3.96×10 −4 1.00 0.11
  Subsets with positive association BrC, RCC ESCC, GC, BC
  P for negative effect 0.89 0.12 7.93×10 −4 5.93×10 −4
  Subsets with negative association LC, BrC RCC, BC
Association with individual cancerse, OR (P)
 ESCC 1.05 (0.31) 1.33 (7.50×10 −6) 1.04 (0.41)
 GC 1.04 (0.37) 1.20 (0.007) 1.08 (0.13)
 PanC 1.01 (0.83) 0.95 (0.21) 1.02 (0.62) 0.88 (0.33)
 RCC 1.18 (9.19×10 −4) 1.02 (0.66) 0.95 (0.33) 0.64 (2.86×10 −4)
 LC 1.08 (0.03) 1.04 (0.22) 0.89 (0.001) 4.13 (0.11)
 BrC 1.21 (0.001) 0.90 (0.08) 0.83 (0.004) NA
 BC 0.99 (0.78) 1.09 (0.03) 0.99 (0.79) 0.71 (0.009)
 PrC 0.99 (0.87) 0.94 (0.29) 1.01 (0.88) NA

NA, not applicable; OR, odds ratio.

aSNPs were ordered by the chromosome location. Significant P for meta-analysis (P < 0.05/39 = 0.0013) or for analysis in individual outcomes (P < 0.01) was marked in bold.

bThe minor allele in the cancer outcome with the most significant P value.

cRandom-effect meta-analysis was conducted using GLIMMIX, accounting for overlapping subjects.

dResults were from ASSET, a subset-based association analysis for combining SNP-based results, accounting for overlapping subjects.

eORs and P values per one effect allele, obtained by random-effect meta-analysis (for LC) or unconditional logistic regression (for other cancers) adjusting for cancer-specific covariates.