Table 1. Characteristics of literatures included in the meta-analysis.
SNP Author | Year | Country | Ethnictiy | Source of controls |
Genotyping method | Cancer types | Case | Control | HWE in control (P) | MAF* | Power | (%)** |
---|---|---|---|---|---|---|---|---|---|---|---|---|
XPC Lys939Gln rs2228001 | ||||||||||||
Kietthubthew[22] | 2006 | Thailand | Asian | Population-based | PCR-RFLP | OSCC | 106 | 164 | 0.547 | 0.27 | - | 9.7 |
Zhou[29] | 2006 | China | Asian | Population-based | PCR-RFLP | ESCC and GCA | 580 | 612 | 0.699 | 0.36 | - | 33.3 |
Ye[28] | 2006 | Sweden | Caucasian | Population-based | PCR-RFLP | ESCC, EA and GCA | 303 | 472 | 0.540 | 0.38 | - | 22.8 |
Pan[26] | 2009 | USA | Causasian | Hospital-based | TaqMan Squence Detection System 7900HT | EC | 378 | 453 | 0.713 | 0.41 | - | 25.3 |
Li[23] | 2010 | China | Asian | Hospital-based | TaqMan MGB real time PCR | HCC | 500 | 507 | 0.507 | 0.34 | - | 28.4 |
Long[25] | 2010 | China | Asian | Hospital-based | TaqMan iQ5 Bio-Rad | HCC | 1,156 | 1,402 | 0.606 | 0.36 | - | 60.6 |
Dong[19] | 2008 | China | Asian | Population-based | PCR-RFLP | GCA | 253 | 612 | 0.699 | 0.36 | - | 21.9 |
Long[24] | 2010 | China | Asian | Hospital-based | PCR-RFLP | GAA | 361 | 616 | 0.445 | 0.35 | - | 26.4 |
Hansen[21] | 2007 | Denmark | Caucasian | Population-based | TaqMan Squence Detection System ABI7500 | CRC | 395 | 797 | 0.112 | 0.37 | - | 30.4 |
Engin[20] | 2010 | Turkey | Causasian | Hospital-based | PCR-RFLP | CRC | 110 | 116 | 0.642 | 0.53 | - | 10.0 |
Wu[27] | 2011 | China | Asian | Population-based | PCR-RFLP | CRC | 420 | 842 | 0.639 | 0.36 | - | 31.6 |
XPC cintron9 PAT+/- | ||||||||||||
Casson[30] | 2005 | Canada | Caucasian | Population-based | PCR-RFLP | EA | 56 | 95 | 0.808 | 0.36 | 6.6 | - |
Wang[32] | 2006 | China | Asian | Hospital-based | PCR-RFLP | PC | 101 | 337 | 0.564 | 0.36 | 10.0 | - |
Sugimura[31] | 2006 | Japan | Asian | Hospital-based | PCR-RFLP | OSCC | 122 | 241 | 0.131 | 0.40 | 10.6 | - |
Kietthubthew[22] | 2006 | Thailand | Asian | Population-based | PCR-RFLP | OSCC | 106 | 164 | 0.472 | 0.26 | 8.1 | - |
Pan[26] | 2009 | USA | Caucasian | Hospital-based | PCR-RFLP | EC | 379 | 443 | 0.362 | 0.37 | 19.7 | - |
Dong[19] | 2008 | China | Asian | Population-based | PCR-RFLP | GCA | 253 | 612 | 0.786 | 0.35 | 17.5 | - |
Wu[27] | 2011 | China | Asian | Population-based | PCR-RFLP | CRC | 412 | 832 | 0.689 | 0.35 | 24.5 | - |
XPC Ala499Val rs2228000 | ||||||||||||
Zhou[29] | 2006 | China | Asian | Population-based | PCR-RFLP | ESCC and GCA | 580 | 612 | 0.217 | 0.31 | 24.7 | - |
Pan[26] | 2009 | USA | Caucasian | Hospital-based | TaqMan Squence Detection System 7900HT | EC | 383 | 450 | 0.133 | 0.24 | 16.3 | - |
Dong[19] | 2008 | China | Asian | Population-based | PCR-RFLP | GCA | 253 | 612 | 0.169 | 0.31 | 16.6 | - |
Long[24] | 2010 | China | Asian | Hospital-based | PCR-RFLP | GAA | 361 | 616 | 0.673 | 0.32 | 20.2 | - |
Li[23] | 2010 | China | Asian | Hospital-based | TaqMan MGB real time PCR | HCC | 500 | 507 | 0.787 | 0.42 | 24.3 | - |
Wu[27] | 2011 | China | Asian | Population-based | PCR-RFLP | CRC | 419 | 838 | 0.447 | 0.37 | 25.3 | - |
HWE, Hardy-weinberg equilibrium; MAF, Minor allele frequency; PAT, Poly AT; *for Lys939Gln rs2228001, MAF refers to the frequency of C allele; for Ala499Val rs2228000, it refers to frequency of T allele; for PAT, it refers to poly AT deletion; **Power was computed by the DSTPLAN4.3 software with MAF in controls as the frequency of risk factor and OR was selected with 1.20 and 1.85 as relative risk, respectively. OSCC, oral squamous cell carcinoma; ESCC, esophageal squamous cell carcinoma; GCA, gastric cardiac adenocarcinama; EC, esophageal cancer; HCC, hapatocellular carcinoma; PCR-RFLP, polymerase chain reaction fragment length polymorpaism