Line | Haplotype | Population | Frequency (%) | Sample Size | ||
---|---|---|---|---|---|---|
1 | MICA*009:01-B*51 | China Baotou Han MIC | 9.1 | 104 | ||
2 | MICA*009-B*51 | Brazil Parana Japanese MIC | 8.0 | 190 | ||
3 | MICA*009-B*52 | Brazil Parana Japanese MIC | 8.0 | 190 | ||
4 | MICA*009:01-B*51 | South Korea MIC | 7.5 | 199 | ||
5 | MICA*009-B*51 | Brazil Sao Paulo Mixed MIC | 7.5 | 200 | ||
6 | MICA*009:02-B*50:01 | Morocco Nador Metalsa MIC | 6.8 | 82 | ||
7 | MICA*009:02-B*45:01 | Nigeria South Efik MIC | 6.3 | 32 | ||
8 | MICA*009-B*51 | Spain Majorca MIC | 5.2 | 165 | ||
9 | MICA*009-B*51 | Brazil Parana Mixed MIC | 4.7 | 201 | ||
10 | MICA*009:02-B*50:02 | Morocco Nador Metalsa MIC | 4.5 | 82 | ||
11 | MICA*009:01-B*51:01 | Morocco Nador Metalsa MIC | 3.8 | 82 | ||
12 | MICA*009-B*50 | Spain Majorca Chueta MIC | 3.7 | 95 | ||
13 | MICA*009-B*50 | Brazil Sao Paulo Mixed MIC | 3.3 | 200 | ||
14 | MICA*009-B*52 | Spain Majorca Chueta MIC | 3.2 | 95 | ||
15 | MICA*009-B*35 | USA Caucasian MIC | 3.1 | 103 | ||
16 | MICA*009:01-B*52:01 | China Zhejiang Province Han MIC | 3.0 | 100 | ||
17 | MICA*009:02-B*45:01 | Morocco Nador Metalsa MIC | 3.0 | 82 | ||
18 | MICA*009-B*51:01 | Spain Murcia MIC | 2.5 | 154 | ||
19 | MICA*009:01-B*52 | China Baotou Han MIC | 2.4 | 104 | ||
20 | MICA*009:01-B*52:01 | South Korea Seoul MIC | 2.2 | 139 | ||
21 | MICA*009:01-B*52 | South Korea MIC | 2.0 | 199 | ||
22 | MICA*009-B*51/52:01 | Thailand North East MIC | 2.0 | 255 | ||
23 | MICA*009-B*52:01 | Spain Murcia MIC | 2.0 | 154 | ||
24 | MICA*009-B*50 | Brazil Parana Mixed MIC | 1.9 | 201 | ||
25 | MICA*009-B*50 | Spain Majorca MIC | 1.8 | 165 | ||
26 | MICA*009-B*35:03 | Spain Murcia MIC | 1.4 | 154 | ||
27 | MICA*009-B*45 | Spain Majorca MIC | 1.2 | 165 | ||
28 | MICA*009-B*51 | Spain Majorca Chueta MIC | 1.0 | 95 | ||
29 | MICA*009-B*48 | Brazil Parana Japanese MIC | 0.5 | 190 | ||
30 | MICA*009-B*45 | Brazil Parana Japanese MIC | 0.3 | 190 |