From: Adiponectin gene polymorphisms and risk of type 2 diabetes: an updated evidence for meta-analysis
Author's name | Country | Study design | Sex ratio of case (M/F) | Genotyping | method | Ethnicity | Target population | Sample size (Diabetes) | Sample size (Control) | Case | Control | P-value for HWE | NOS score | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TT | GT | GG | TT | GT | GG | |||||||||||||
Hara et al. [18] | Japan | Case–control | 267/117 | SNaPshot ddNTP | Asian | Japanese | 384 | 480 | 18 | 142 | 224 | 41 | 203 | 236 | 0.08 | 8 | ||
Menzaghi et al. [40] | Italy | Case–control | 167/143 | PCR-hydridization | Caucasian | Italian Caucasian | 310 | 304 | 28 | 124 | 158 | 27 | 117 | 160 | 0.7 | 8 | ||
Populaire et al. [39] | Japan | Case–control | 82/82 | PCR–RFLP | Asian | Japanese | 164 | 177 | 22 | 55 | 87 | 18 | 80 | 79 | 0.12 | 9 | ||
Gu et al. [20] | Sweden | Case–control | 56/50 | DASH | Caucasian | Swedish Caucasians | 106 | 497 | 101 | 46 | 50 | 42 | 206 | 249 | 0.004 | 8 | ||
Fumeron et al. [41] | France | Cohort | 150/79 | fluorogenic | Caucasian | French Caucasian | 229 | 3072 | 15 | 64 | 97 | 305 | 1773 | 2419 | 0.67 | 7 | ||
Hu et al. [21] | USA | Nested Case–control | 642F | TaqMan | Caucasian | Caucasians | 642 | 995 | 54 | 266 | 322 | 73 | 399 | 523 | 0.07 | 9 | ||
Gibson et al. [22] | UK | Case–control | 390/422 | Ampli-Fluor | Caucasian | French Caucasian | 701 | 893 | 51 | 276 | 374 | 75 | 368 | 450 | 0.0003 | 7 | ||
de Courten et al. [42] | USA | Cohort | 496/584 | PCR–RFLP | Indian | Pima Indians | 1080 | 1080 | 26 | 200 | 371 | 24 | 133 | 249 | 1.2 | 7 | ||
Lee et al. [43] | Korea | Case–control | 237/256 | SNaPshot ddNTP | Korean | Korean population | 493 | 427 | 38 | 231 | 224 | 35 | 167 | 225 | 0.26 | 6 | ||
Sanchez et al. [44] | Finland | Cross-sectional | 356/391 | PCR-SnaPshot | Spanish | Spanish | 747 | 747 | 5 | 35 | 24 | 39 | 231 | 260 | 1.61 | 6 | ||
Vasseur et al. [23] | France | Case–control | 115/329 | LightCycler technology | Caucasians | French Caucasians | 444 | 535 | 23 | 89 | 97 | 23 | 93 | 132 | 0.34 | 8 | ||
Tso et al. [24] | Hong Kong | Cohort | 76/82 | PCR–RFLP | Chinese | Chinese | 137 | 125 | 17 | 59 | 82 | 15 | 40 | 49 | 2 | 7 | ||
Gable et al. [26] | UK | Cohort | 169 M | TaqMan | Caucasians | European Caucasian | 169 | 2767 | 10 | 59 | 87 | 175 | 1015 | 1470 | 0.92 | 6 | ||
Yang et al. [45] | China | Case–control | 75/137 | SEQUENOM genotyping system | Chinese | Chinese | 637 | 801 | 42 | 206 | 191 | 661 | 408 | 499 | 2.04 | 8 | ||
Hivert et al. [29] | USA | Cohort | 515/580 | Mass spectroscopy | White | White | 282 | 1448 | 15 | 61 | 100 | 111 | 641 | 864 | 0.28 | 7 | ||
Magdalena et al. [46] | Poland | Case–control | 217/278 | PCR–RFLP | Caucasian | Polish Caucasian | 495 | 435 | 11 | 131 | 353 | 11 | 150 | 274 | 0.024 | 9 | ||
Mohammadzadeh et al. [47] | Iran | Case–control | 26/24 | PCR–RFLP | Iranian | Iranian | 50 | 52 | 2 | 19 | 29 | 4 | 21 | 27 | 0.41 | 8 | ||
Wang et al. [32] | China | Case–control | 394/591 | TaqMan | Han | Han Chinese | 985 | 1050 | 66 | 397 | 451 | 72 | 398 | 496 | 0.41 | 7 | ||
Chiodini et al. [33] | Italy | Cohort | 285/218 | TaqMan | Italians | Italians | 503 | 503 | 52 | 206 | 245 | 66 | 198 | 239 | 0.02 | 9 | ||
Alimi et al. [11] | Iran | Case–control | 57/43 | Tetra ARMS-PCR | Iranian | Iranian | 100 | 110 | 8 | 45 | 47 | 8 | 44 | 58 | 0.3 | 6 |