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 |