Table 2.

Genotyping of selected SNPs of IGF1 and IGFBP3 and their associations with NSCLC survival in genetic models

GeneSNPs*LocationNo. (%) of genotypingMAF in patientsHWECox P
Additive modelDominant modelRecessive model
IGF1rs99197335′ near gene99.70.2651.000.2420.2560.519
rs357675′ near gene99.30.3180.530.5600.6730.566
rs57426125′ near gene99.80.2710.720.3290.3300.621
rs22883775′ near gene97.70.2720.840.2400.2380.565
rs12821878Intron99.80.0501.000.2120.2820.011
rs4764699Intron99.80.2520.840.4320.6780.248
rs1520220Intron99.80.4170.930.3130.2280.718
rs62183′UTR99.50.2400.930.3390.5220.254
rs62143′UTR99.50.4780.280.2110.7600.078
rs57427143′UTR96.40.1700.870.0130.0180.170
IGFBP3rs21325725′ near gene100.00.1980.790.0060.0370.004
rs2854746A32G99.80.2420.650.1230.3940.026
rs9282734P164H99.80.0431.000.5400.5800.624
rs2471551Intron100.00.0440.610.1730.1920.490
rs3110697Intron100.00.2600.480.2060.4730.076
rs10255707Intron99.50.1780.490.0230.0600.045
rs2453839Intron99.70.2260.700.0560.0480.502

Abbreviations: MAF, minor allele frequency; HWE, Hardy-Weinberg equilibrium.

  • *All the SNPs served as tagging SNPs except for rs9919733 in IGF1 and rs2854746 in IGFBP3.

  • Hardy-Weinberg equilibrium was examined by goodness-of-fit χ2 test.