Table 3. Genetic variants nominally significantly associated with colorectal-cancer risk in meta-analyses of all available data.
Number evaluated | Colorectal-cancer risk meta-analysis | Venice criteria garde‡ |
False-positive report probability§ |
Cumulative evidence of association |
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Genes | Variants | Alleles * | Chromosome | Frequency (%)† | Ethinicity | Studies | Cases | Controls | Genetic models | OR (95% CI) | P value | I2 (%) | Pheterogeneity | |||
APC | rs1801155 | A/T | 5 | 6.80 | Jewish | 3 | 804 | 6,188 | Dominant | 1.96 (1.37-2.79) | 1.99×10-4 | 0 | 0.84 | BAA | 0.007 | Strong |
CHEK2 | 1100delC | 1100delC/– | 22 | 0.71 | White | 7 | 3,874 | 11,630 | Dominant | 1.88 (1.29-2.73) | 0.001 | 0 | 0.50 | ×AA | 0.036 | Strong |
CHEK2 | rs17879961 | C/T | 22 | 3.91 | White | 6 | 6,042 | 17,051 | Dominant | 1.56 (1.32-1.84) | 1.22×10-7 | 0 | 0.76 | BAA | <0.001 | Strong |
CYP1A1 | rs1048943 | G/A | 15 | 10.33 | All | 16 | 6,704 | 8,009 | Additive | 1.24 (1.05-1.47) | 0.014 | 74 | 0.00 | ACC | 0.338 | Weak |
CYP2E1 | 96-bp insertion | 96-bp ins/– | 10 | 16.98 | All | 4 | 1,412 | 1,781 | Additive | 1.24 (1.03-1.49) | 0.023 | 35 | 0.20 | ABA | 0.462 | Weak |
DNMT3B | rs1569686 | G/T | 20 | 16.99 | All | 4 | 1,054 | 1,224 | Additive | 0.57 (0.47-0.68) | 1.86×10-9 | 0 | 0.99 | BAA | <0.001 | Strong |
GH1 | rs2665802 | A/T | 17 | 45.39 | All | 7 | 3,275 | 3,848 | Additive | 0.89 (0.80-0.99) | 0.025 | 49 | 0.07 | ABC | 0.508 | Weak |
GSTM1 | Present/Null | NA | 1 | 50.64 | All | 56 | 20,552 | 31,419 | null vs present | 1.10 (1.04-1.17) | 0.001 | 48 | 0.00 | ABC | 0.046 | Moderate |
GSTT1 | Present/Null | NA | 22 | 29.53 | All | 43 | 15,144 | 23,847 | null vs present | 1.15 (1.05-1.27) | 0.004 | 68 | 0.00 | ACC | 0.144 | Weak |
IGFBP3 | rs2854746 | G/C | 7 | 46.08 | All | 5 | 4,282 | 7,365 | Additive | 1.07 (1.01-1.14) | 0.016 | 0 | 0.07 | AAC | 0.447 | Weak |
MLH1 | rs121912963 | C/G | 3 | 0.43 | All | 3 | 1,412 | 1,508 | Additive | 2.74 (1.31-5.75) | 0.008 | 15 | 0.31 | ×AC | 0.231 | Weak |
MLH1 | rs1800734 | A/G | 3 | 21.11 | White | 5 | 801 | 10,890 | Additive | 1.51 (1.34-1.69) | 6.74×10-12 | 46 | 0.11 | AAA | <0.001 | Strong |
MLH1 | rs63750447 | A/T | 3 | 1.96 | Asian | 3 | 937 | 919 | Additive | 2.14 (1.12-4.12) | 0.022 | 41 | 0.18 | BBC | 0.458 | Weak |
MMP1 | rs1799750 | 2G/1G | 11 | 39.63 | All | 8 | 1,477 | 1,751 | Additive | 0.76 (0.64-0.92) | 0.004 | 61 | 0.01 | ACC | 0.138 | Weak |
MSH3 | rs184967 | A/G | 5 | 15.25 | White | 3 | 5,085 | 7,136 | Additive | 1.11 (1.03-1.20) | 0.005 | 0 | 0.38 | AAC | 0.182 | Weak |
MSH3 | rs26279 | G/A | 5 | 28.13 | White | 4 | 5,691 | 7,665 | Additive | 1.1 (1.03-1.17) | 0.006 | 17 | 0.31 | AAC | 0.157 | Weak |
MTHFD1 | rs1950902 | A/G | 14 | 18.78 | White | 3 | 3,822 | 5,452 | Additive | 0.90 (0.84-0.98) | 0.010 | 0 | 0.79 | AAC | 0.275 | Weak |
MUTYH | Monoallelic mutation | NA | 1 | 1.69 | White | 17 | 25,981 | 18,811 | Carriers vs wild homozygotes | 1.17 (1.01-1.34) | 0.036 | 0 | 0.84 | BAC | 0.546 | Weak |
MUTYH | Biallelic mutation | NA | 1 | 0.01 | White | 17 | 25,981 | 18,811 | Carriers vs wild homozygotes | 10.19 (5.00-22.04) | 5.30×10-10 | 0 | 0.88 | ×AA | <0.001 | Strong |
MUTYH | rs34612342 | G/A | 1 | 0.01 | White | 17 | 27,041 | 19,641 | GG vs AA | 3.32 (1.13-9.81) | 0.030 | 0 | 1.00 | ×AA | 0.533 | Strong |
MUTYH | rs36053993 | A/G | 1 | 0.00 | White | 17 | 26,957 | 19,870 | AA vs GG | 6.49 (2.57-1.35) | 7.49×10-5 | 0 | 0.85 | ×AA | 0.003 | Strong |
NAT2 | Fast/slow | NA | 8 | 47.39 | All | 35 | 11,684 | 15,348 | Slow vs fast | 0.94 (0.89-0.99) | 0.023 | 1 | 0.45 | AAC | 0.47 | Weak |
NOD2 | rs2066844 | T/C | 16 | 6.15 | White | 9 | 3,297 | 3,088 | Dominant | 1.35 (1.02-1.78) | 0.038 | 34 | 0.14 | BBC | 0.581 | Weak |
NOD2 | rs2066847 | C/– | 16 | 6.21 | White | 11 | 4,337 | 5,395 | Dominant | 1.30 (1.02-1.65) | 0.032 | 33 | 0.13 | BBC | 0.546 | Weak |
PTGS1 | rs5788 | A/C | 9 | 13.35 | White | 4 | 3,989 | 6,659 | Additive | 1.13 (1.04-1.22) | 0.004 | 0 | 0.64 | AAC | 0.113 | Weak |
PTGS2 | rs689466 | G/A | 1 | 30.34 | All | 9 | 4,076 | 7,610 | Additive | 0.88 (0.80-0.98) | 0.018 | 56 | 0.02 | ACC | 0.405 | Weak |
SCD | rs7849 | G/A | 10 | 18.49 | All | 3 | 2,011 | 2,580 | Additive | 0.85 (0.73-0.98) | 0.025 | 29 | 0.25 | ABC | 0.488 | Weak |
TERT | rs2736100 | T/G | 5 | 49.34 | White | 8 | 16,176 | 18,135 | Additive | 1.07 (1.04-1.1) | 2.92×10-5 | 0 | 0.53 | AAC | 0.001 | Moderate |
TGFB1 | rs1800469 | T/C | 19 | 38.74 | All | 10 | 4,405 | 5,383 | Additive | 0.88 (0.79-0.97) | 0.013 | 55 | 0.02 | ACC | 0.33 | Weak |
TNF | rs1800629 | A/G | 6 | 13.78 | All | 11 | 2,296 | 2,283 | Additive | 1.28 (1-1.62) | 0.046 | 71 | 0.00 | ACC | 0.625 | Weak |
TP73 | G4C14/A4T14 | NA | 1 | 24.02 | All | 4 | 858 | 1,168 | Additive | 1.20 (1.04-1.40) | 0.015 | 6 | 0.36 | AAC | 0.363 | Weak |
UBD | rs2076485 | C/T | 6 | 26.07 | White | 3 | 4,281 | 6,157 | Additive | 1.07 (1.01-1.14) | 0.034 | 0 | 0.77 | AAC | 0.563 | Weak |
VDR | rs11568820 | A/G | 12 | 36.61 | White | 4 | 3,228 | 3,455 | Dominant | 1.15 (1.04-1.27) | 0.005 | 0 | 0.93 | AAB | 0.165 | Weak |
VDR | rs1544410 | A/G | 12 | 38.96 | All | 17 | 11,687 | 12,301 | Additive | 0.85 (0.72-0.99) | 0.040 | 93 | 93.40 | ACC | 0.87 | Weak |
VEGF | rs3025039 | T/C | 6 | 19.43 | All | 6 | 1,925 | 1,884 | Additive | 1.19 (1.04-1.37) | 0.014 | 29 | 0.22 | ABC | 0.347 | Weak |
XPA | rs1800975 | A/G | 9 | 36.46 | White | 3 | 593 | 1,137 | Additive | 0.82 (0.70-0.96) | 0.016 | 4 | 0.36 | AAC | 0.379 | Weak |
XPC | rs2228001 | C/A | 3 | 37.38 | All | 9 | 2,978 | 5,204 | Additive | 1.08 (1.01-1.16) | 0.021 | 0 | 0.83 | AAC | 0.486 | Weak |
Minor alleles/major alleles (Per Caucasian); majors alleles were treated as reference alleles in the analyses;
Allelic ORs were estimated under the additive model. For dominant or recessive models, ORs were estimated for subjects who carry one or two minor alleles or subjects homozygous for the minor alleles,respectively.
Frequency of minor allele or effect genotype(s) in controls in primary meta-analysis
Venice criteria grades are for amount of evidence, replication of the association, and protection from bias.
False-positive report probability (FPRP) was determined based on OR and P value of each variant from meta-analysis and a prior probability of 0.05.
Cumulative epidemiological evidence as graded by combination of results from Venice criteria and FPRP for association with colorectal-cancer risk.