Line | Allele | Population | % of individuals that have the allele |
Allele Frequency |
Sample Size |
Location |
---|---|---|---|---|---|---|
1 | MICA*001 | Argentina Formosa Toba MIC | 0.005 | 94 | 26_11_S_58_11_W | |
2 | MICA*001 | Argentina Formosa Wichi MIC | 0.000 | 42 | 26_11_S_58_11_W | |
3 | MICA*001 | Brazil Limao Verde and Corrego Reserve Terena MIC | 0.000 | 60 | 15_35_S_56_5_W | |
4 | MICA*001 | Brazil Mato Grosso do Sul Kaiowa MIC | 0.000 | 174 | 23_12_S_55_6_W | |
5 | MICA*001 | Brazil Mato Grosso do Sul Nandeva MIC | 0.000 | 89 | 23_6_S_55_12_W | |
6 | MICA*001 | Brazil Parana Guarani M'byá MIC | 0.000 | 100 | 25_18_S_52_32_W | |
7 | MICA*001 | Brazil Parana Japanese MIC | 0.003 | 190 | 22_26_S_48_54_W | |
8 | MICA*001 | Brazil Parana Kaingang MIC | 0.002 | 245 | 24_30_S_51_40_W | |
9 | MICA*001 | Brazil Parana Mixed MIC | 0.025 | 201 | 24_0_S_51_0_W | |
10 | MICA*001 | Brazil Sao Paulo Mixed MIC | 3.5 | 0.018 | 200 | 23_32_S_46_39_W |
11 | MICA*001 | China Shanghai Han MIC | 0.000 | 183 | 31_12_N_121_30_E | |
12 | MICA*001 | China Xinjiang Province Uygur MIC | 0.000 | 66 | 43_44_N_87_34_E | |
13 | MICA*001 | China Yunnan Province Dai MIC | 0.000 | 41 | 24_30_N_101_30_E | |
14 | MICA*001 | China Zhangjiajie Tujias MIC | 0.005 | 187 | 29_7_N_110_28_E | |
15 | MICA*001 | England MIC | 0.0 | 0.000 | 118 | 54_58_N_1_36_W |
16 | MICA*001 | England Northwest MIC | 4.4 | 250 | 53_28_N_2_14_W | |
17 | MICA*001 | Morocco Nador Metalsa MIC | 0.030 | 82 | 35_10_N_2_55_W | |
18 | MICA*001 | Slovenia MIC | 4.3 | 70 | 46_3_N_14_30_E | |
19 | MICA*001 | Spain Majorca Chueta MIC | 0.005 | 95 | 39_37_N_2_59_E | |
20 | MICA*001 | Spain Majorca MIC | 0.051 | 165 | 39_37_N_2_59_E | |
21 | MICA*001 | Spain Murcia MIC | 0.078 | 154 | 37_59_N_1_8_W | |
22 | MICA*001 | Thailand North East MIC | 0.000 | 255 | 16_26_N_102_50_E | |
23 | MICA*001 | USA African American MIC | 0.012 | 201 | 32_46_N_96_48_W | |
24 | MICA*001 | USA Caucasian MIC | 0.015 | 103 | 32_46_N_96_48_W | |
25 | MICA*001 | USA Caucasian MIC pop2 | 0.030 | 242 | 47_36_N_122_19_W | |
26 | MICA*001 | Wales MIC | 1.8 | 0.009 | 166 | 51_29_N_3_11_W |
27 | MICA*002 | Brazil Parana Japanese MIC | 0.150 | 190 | 22_26_S_48_54_W | |
28 | MICA*002 | Brazil Parana Mixed MIC | 0.182 | 201 | 24_0_S_51_0_W | |
29 | MICA*002 | Brazil Sao Paulo Mixed MIC | 28.5 | 0.154 | 200 | 23_32_S_46_39_W |
30 | MICA*002 | China Shanghai Han MIC | 0.140 | 183 | 31_12_N_121_30_E | |
31 | MICA*002 | China Xinjiang Province Uygur MIC | 0.190 | 66 | 43_44_N_87_34_E | |
32 | MICA*002 | China Yunnan Province Dai MIC | 0.150 | 41 | 24_30_N_101_30_E | |
33 | MICA*002 | China Zhangjiajie Tujias MIC | 0.000 | 187 | 29_7_N_110_28_E | |
34 | MICA*002 | England MIC | 35.0 | 0.180 | 118 | 54_58_N_1_36_W |
35 | MICA*002 | England Northwest MIC | 16.8 | 250 | 53_28_N_2_14_W | |
36 | MICA*002 | Japan MIC | 0.146 | 130 | 34_41_N_135_12_E | |
37 | MICA*002 | Japan MIC pop 2 | 0.099 | 152 | 35_41_N_139_46_E | |
38 | MICA*002 | Japan MIC pop 3 | 0.125 | 114 | 35_41_N_139_46_E | |
39 | MICA*002 | Slovenia MIC | 34.3 | 70 | 46_3_N_14_30_E | |
40 | MICA*002 | Spain Majorca Chueta MIC | 0.158 | 95 | 39_37_N_2_59_E | |
41 | MICA*002 | Spain Majorca MIC | 0.142 | 165 | 39_37_N_2_59_E | |
42 | MICA*002 | Spain Murcia MIC | 0.161 | 154 | 37_59_N_1_8_W | |
43 | MICA*002 | Thailand North East MIC | 0.176 | 255 | 16_26_N_102_50_E | |
44 | MICA*002 | Turkey MIC | 29.2 | 0.154 | 65 | 39_55_N_32_50_E |
45 | MICA*002 | USA Caucasian MIC pop2 | 0.130 | 242 | 47_36_N_122_19_W |