Table 2 Distribution of EGF +61 G/A polymorphism in healthy control populations according to NIEHS and previous research
From: Association between EGF +61 G/A and glioma risk in a Chinese population
| Â | N | Genotypes | Alleles | ethnicity | |||
|---|---|---|---|---|---|---|---|
| Â | Â | GG(%) | GA(%) | AA(%) | G(%) | A(%) | Â |
Present study | 693 | 366(52.8) | 276(39.8) | 51(7.4) | 1008(72.7) | 378(27.3) | Asian |
Previous study | Â | Â | Â | Â | Â | Â | Â |
   Chinese[32] | 194 | 92(47.4) | 84(44.3) | 16(8.4) | 270(69.6) | 118(30.4) | Asian |
   Chinese[47] | 212 | 100(47.2) | 93(43.9) | 19(9.0) | 293(69.1) | 131(30.9) | Asian |
   Chinese[48] | 660 | 314(47.6) | 289(43.8) | 57(8.6) | 917(69.5) | 403(30.5) | Asian |
   Chinese[49] | 206 | 98(47.6) | 89(43.2) | 19(9.2) | 285(69.2) | 127(30.8) | Asian |
   Chinese[50] | 186 | 96(51.6) | 73(39.3) | 17(9.1) | 265(71.2) | 107(28.8) | Asian |
   Chinese[51] | 654 | 328(50.2) | 264(40.4) | 62(9.5) | 920(70.3) | 388(29.7) | Asian |
   Japanese[18] | 450 | 215(47.8) | 188(41.8) | 47(10.4) | 618(68.7) | 282(31.3) | Asian |
   Korean[31] | 169 | 87(51.5) | 68(40.2) | 14(8.3) | 242(71.6) | 96(28.4) | Asian |
   Korean[35] | 432 | 198(45.8) | 185(42.8) | 49(11.3) | 581(67.2) | 283(32.8) | Asian |
Mean for Asian # | Â | 48.5(46.9-50.1) | 42.2(40.8-43.6) | 9.3(8.6-10.1) | 69.6(68.6-70.6) | 30.4(29.4-31.4) | Â |
   Indian[15]* | 190 | 34(17.9) | 87(45.8) | 69(36.3) | 155(40.8) | 225(59.2) | Indian |
   Danish[52]* | 81 | 15(19.0) | 39(48.0) | 27(33.0) | 69(43.0) | 93(57.0) | Caucasian |
   British[53]* | 669 | 112(16.7) | 338(50.5) | 219(32.8) | 562(42.0) | 776(58.0) | Caucasian |
American[54]* | 232 | 30(12.9) | 118(50.9) | 84(36.2) | 178(38.4) | 286(61.6) | Caucasian |
Portuguese[20]* | 570 | 131(23.0) | 266(46.7) | 173(30.3) | 528(46.3) | 612(53.7) | Caucasian |
Cadadian[55]* | 447 | 72(16.0) | 201(45.0) | 174(39.0) | 345(38.6) | 549(61.4) | Caucasian |
   Italian[56]* | 255 | 45(17.6) | 117(45.9) | 93(36.5) | 207(40) | 303(60) | Caucasian |
Australian[19]* | 2646 | 446(16.9) | 1317(49.8) | 883(33.4) | 2209(41.7) | 3083(58.3) | Caucasian |
Portuguese[57]* | 389 | 89(23.0) | 180(46.0) | 120(31.0) | 358(46.0) | 420(54.0) | Caucasian |
Northern European[14]* | 99 | 20(20.2) | 47(47.5) | 32(32.3) | 87(43.9) | 111(56.1) | Caucasian |
# Mean for Caucasian | Â | 18.3(16.1-20.6) | 47.6(46.1-49.1) | 34.1(32.1-36.1) | 42.1(40.1-44.1) | 57.9(55.9-59.9) | Â |
Brazilian[58] | Â | 56(28.00) | 92(46.00) | 52(26.00) | 204(51.00) | 196(49.00) | Brazilian |
NIEHS data | Â | Â | Â | Â | Â | Â | Â |
CHB GENO PANEL | 45 | 20(44.4) | 17(37.8) | 8(17.8) | 57(63.3) | 33(36.7) | Asian |
JPT GENO PANEL | 44 | 24(54.5) | 19(43.2) | 1(2.3) | 67(76.1) | 21(23.9) | Asian |
YRI GENO PANEL | 60 | 34(56.7) | 24(40.0) | 2(3.3) | 92(76.7) | 28(23.3) | Sub-Saharan African |
CEU GENO PANEL* | 60 | 10(16.7) | 27(45.0) | 23(38.3) | 47(39.2) | 73(60.8) | European |