Line | Haplotype | Population | Frequency (%) | Sample Size | ||
---|---|---|---|---|---|---|
1 | MICA*010-B*46:01 | ![]() | Thailand North East MIC | 14.7 | ![]() | 255 |
2 | MICA*010-B*15:01 | ![]() | South Korea Seoul MIC | 10.4 | ![]() | 139 |
3 | MICA*010-B*40 | ![]() | South Korea MIC | 10.3 | ![]() | 199 |
4 | MICA*010-B*15:07 | ![]() | Argentina Formosa Toba MIC | 9.9 | ![]() | 94 |
5 | MICA*010-B*52:01 | ![]() | Argentina Formosa Toba MIC | 9.3 | ![]() | 94 |
6 | MICA*010-B*46:01 | ![]() | China Zhejiang Province Han MIC | 8.0 | ![]() | 100 |
7 | MICA*010-B*46 | ![]() | China Baotou Han MIC | 6.3 | ![]() | 104 |
8 | MICA*010-B*15:20 | ![]() | Argentina Formosa Wichi MIC | 6.2 | ![]() | 42 |
9 | MICA*010-B*15 | ![]() | Brazil Parana Japanese MIC | 5.8 | ![]() | 190 |
10 | MICA*010-B*46 | ![]() | South Korea MIC | 5.8 | ![]() | 199 |
11 | MICA*010-B*46:01 | ![]() | South Korea Seoul MIC | 5.8 | ![]() | 139 |
12 | MICA*010-B*46 | ![]() | Brazil Parana Japanese MIC | 5.0 | ![]() | 190 |
13 | MICA*010-B*15:08 | ![]() | Argentina Formosa Wichi MIC | 4.8 | ![]() | 42 |
14 | MICA*010-B*15:01 | ![]() | USA Caucasian MIC pop2 | 4.7 | ![]() | 242 |
15 | MICA*010-B*15:01 | ![]() | China Zhejiang Province Han MIC | 4.0 | ![]() | 100 |
16 | MICA*010-B*15 | ![]() | Thailand North East MIC | 3.5 | ![]() | 255 |
17 | MICA*010-B*15 | ![]() | Brazil Sao Paulo Mixed MIC | 3.3 | ![]() | 200 |
18 | MICA*010-B*15:01 | ![]() | Spain Murcia MIC | 3.3 | ![]() | 154 |
19 | MICA*010-B*15:11 | ![]() | China Zhejiang Province Han MIC | 3.0 | ![]() | 100 |
20 | MICA*010-B*15 | ![]() | Brazil Parana Mixed MIC | 2.9 | ![]() | 201 |
21 | MICA*010-B*15:01 | ![]() | Spain Majorca MIC | 1.8 | ![]() | 165 |
22 | MICA*010-B*44:03 | ![]() | USA Caucasian MIC pop2 | 1.5 | ![]() | 242 |
23 | MICA*010-MICB*005:02 | ![]() | China Guangxi Zhuang MIC | 1.1 | ![]() | 209 |
24 | MICA*010-B*40 | ![]() | Brazil Parana Japanese MIC | 0.3 | ![]() | 190 |
25 | MICA*010-MICB*014 | ![]() | China Guangxi Zhuang MIC | 0.3 | ![]() | 209 |