Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*30-B*18-C*05:01 | | Italy Sardinia pop3 | 12.5000 | | 100 |
|
2 | A*30:01-B*42:01 | | Zambia Lusaka | 11.6000 | | 44 |
|
3 | A*30:01-B*42:01-C*17:01 | | Zambia Lusaka | 11.6000 | | 44 |
|
4 | A*30-B*13-C*06:02 | | Pakistan Karachi Parsi | 11.0000 | | 91 |
|
5 | A*30:01-B*42:01 | | Mali Bandiagara | 10.4000 | | 138 |
|
6 | A*30:01-B*42:01-C*17:01 | | Mali Bandiagara | 10.4000 | | 138 |
|
7 | A*30-B*49-C*07:01-DRB1*13-DQB1*06 | | Russia North Ossetian | 9.0200 | | 127 |
|
8 | A*30:01-B*13:02-DRB1*07:01 | | China Jiangsu Han | 8.8700 | | 3,238 |
|
9 | A*30:01-B*13:02-DRB1*07:01 | | China Jiangsu Province Han | 8.5400 | | 334 |
|
10 | A*30-B*13-DRB1*07 | | Pakistan Karachi Parsi | 8.3000 | | 91 |
|
11 | A*30:01-B*13:02-DRB1*10:01 | | Malaysia Patani | 8.0000 | | 25 |
|
12 | A*30-B*13-DRB1*07 | | China Jiangsu Province | 6.9000 | | 20,248 |
|
13 | A*30-B*13 | | Pakistan Kalash | 6.5000 | | 69 |
|
14 | A*30-B*13-C*06:02 | | Pakistan Kalash | 6.5000 | | 69 |
|
15 | A*30-B*18-C*05:01 | | Spain Gipuzkoa Basque | 6.1000 | | 100 |
|
16 | A*30:01-B*42:01 | | South Africa Natal Zulu | 6.0000 | | 100 |
|
17 | A*30:02-B*53:01 | | Zambia Lusaka | 5.8000 | | 44 |
|
18 | A*30:02-B*53:01-C*04:01 | | Zambia Lusaka | 5.8000 | | 44 |
|
19 | A*30:02-B*35:01:01-DRB1*10:01 | | Cape Verde Northwestern Islands | 5.6000 | | 62 |
|
20 | A*30:01-B*13:02-DRB1*07:01 | | Israel Bukhara Jews | 5.3800 | | 2,317 |
|
21 | A*30-B*42-DRB1*03 | | Mozambique | 4.9000 | | 202 |
|
22 | A*30:02-B*57:03 | | Zambia Lusaka | 4.7000 | | 44 |
|
23 | A*30:02-B*57:03-C*18:01 | | Zambia Lusaka | 4.7000 | | 44 |
|
24 | A*30-B*53-DRB1*13-DQB1*06 | | Mexico Colima Rural | 4.5455 | | 43 |
|
25 | A*30:01-B*13:02-C*06:02-DRB1*07:01 | | Germany DKMS - China minority | 4.5180 | | 1,282 |
|
26 | A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 4.5000 | | 100 |
|
27 | A*30-B*18-DRB1*03:01-DQB1*02 | | Mexico Mexico City West | 4.4118 | | 33 |
|
28 | A*30-B*13-DRB1*11 | | Pakistan Kalash | 4.3000 | | 69 |
|
29 | A*30:02-B*18:01:01-DRB1*03:01:01 | | Portugal South | 4.1000 | | 49 |
|
30 | A*30-B*13-DRB1*07 | | China Shaanxi Province Han | 4.1000 | | 10,000 |
|
31 | A*30-B*13 | | Pakistan Mixed Pathan | 4.0000 | | 100 |
|
32 | A*30-B*47 | | South Korea pop 8 | 4.0000 | | 7,096 |
|
33 | A*30:01-B*38:01-DRB1*11:04 | | Israel Bukhara Jews | 3.9200 | | 2,317 |
|
34 | A*30:02-B*53:01-DRB1*03:01 | | Israel Iran Jews | 3.9200 | | 8,153 |
|
35 | A*30:01-B*13:02-C*06:02-DRB1*07:01 | | Taiwan pop 2 | 3.9000 | | 364 |
|
36 | A*30-B*13-C*06:02 | | Pakistan Mixed Pathan | 3.9000 | | 100 |
|
37 | A*30:01-B*49:01-DRB1*08:04 | | Israel Ethiopia Jews | 3.7000 | | 5,928 |
|
38 | A*30-B*13-DRB1*07-DQB1*02 | | Mexico Morelos, Cuernavaca | 3.6585 | | 82 |
|
39 | A*30-B*18-DRB1*03:01-DRB3*02:02-DQA1*05:01-DQB1*02:01 | | Spain Murcia | 3.5000 | | 173 |
|
40 | A*30-B*58 | | Mongolia Tarialan Khoton | 3.5000 | | 85 |
|
41 | A*30-B*13-DRB1*07-DQB1*02 | | Mexico Veracruz, Orizaba | 3.3333 | | 60 |
|
42 | A*30-B*18-DRB1*03:01-DQB1*02 | | Mexico Morelos Rural | 3.3333 | | 30 |
|
43 | A*30-B*50-DRB1*01-DQB1*05 | | Mexico Campeche Rural | 3.1915 | | 47 |
|
44 | A*30:01-B*42:01-C*17:01-DRB1*03:02 | | Brazil Vale do Ribeira Quilombos | 3.1250 | | 144 |
|
45 | A*30-B*18-DRB1*03:01-DQB1*02 | | Mexico Nayarit Rural | 3.1250 | | 64 |
|
46 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 3.1109 | | 1,734 |
|
47 | A*30:01-B*13:01-C*06:03 | | India Khandesh Region Pawra | 3.1000 | | 50 |
|
48 | A*30:01-B*13:02-C*06:02 | | South Korea pop 3 | 3.1000 | | 485 |
|
49 | A*30:02-B*58:02-DRB1*03:02 | | Sao Tome Island Angolar | 3.1000 | | 32 |
|
50 | A*30:01:01-B*42:01:01-C*17:01:01 | | South African Mixed ancestry | 3.0000 | | 50 |
|
51 | A*30:02-B*18:01 | | Tunisia | 3.0000 | | 100 |
|
52 | A*30-B*13-C*06:02-DRB1*07:01-DQB1*02 | | Russia Transbaikal Territory Buryats | 3.0000 | | 150 |
|
53 | A*30-B*15 | | Venezuela Caracas Mestizo | 3.0000 | | 50 |
|
54 | A*30-B*58:01-C*07 | | France Corsica Island | 3.0000 | | 100 |
|
55 | A*30:01-B*42:01 | | USA African American pop 4 | 2.9630 | | 2,411 |
|
56 | A*30-B*18-DRB1*03:01-DQB1*02 | | Mexico Sinaloa, Culiacán | 2.9126 | | 103 |
|
57 | A*30:01-B*42:01 | | Kenya Nandi | 2.9000 | | 240 |
|
58 | A*30:01-B*42:01-C*17:01 | | Kenya Nandi | 2.9000 | | 240 |
|
59 | A*30:01-B*42:01-C*17:01 | | Morocco Settat Chaouya | 2.9000 | | 98 |
|
60 | A*30:02-B*18:01 | | Cuba Caucasian | 2.9000 | | 70 |
|
61 | A*30-B*15-C*04-DRB1*11:01-DQB1*03:01 | | Rwanda | 2.9000 | | 280 |
|
62 | A*30:01-B*13:02 | | India West Coast Parsi | 2.8000 | | 50 |
|
63 | A*30-B*13-C*06:02 | | South Korea pop 1 | 2.8000 | | 324 |
|
64 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01/02:02 | | South Korea pop 3 | 2.7000 | | 485 |
|
65 | A*30:01-B*13:02-DRB1*07:01 | | South Korea pop 3 | 2.7000 | | 485 |
|
66 | A*30:01-B*42:01-C*17:01 | | USA African American | 2.6000 | | 252 |
|
67 | A*30:02-B*18:01-DRB1*03:01 | | Azores Oriental Islands | 2.6000 | | 43 |
|
68 | A*30:01-B*41:02-DRB1*13:03 | | Israel Libya Jews | 2.5800 | | 3,739 |
|
69 | A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Spain, Canary Islands, Gran canaria island | 2.5600 | | 215 |
|
70 | A*30:01-B*42:01 | | USA African American | 2.5000 | | 252 |
|
71 | A*30:02-B*08:01 | | South Africa Natal Zulu | 2.5000 | | 100 |
|
72 | A*30:02-C*04:01 | | Tunisia | 2.5000 | | 100 |
|
73 | A*30:02-C*05:01 | | Tunisia | 2.5000 | | 100 |
|
74 | A*30-B*13-DRB1*07 | | Pakistan Mixed Pathan | 2.5000 | | 100 |
|
75 | A*30-B*53-DRB1*03 | | Pakistan Brahui | 2.5000 | | 104 |
|
76 | A*30-B*57:03-C*07-DRB1*13:03-DQB1*03:01 | | Rwanda | 2.5000 | | 280 |
|
77 | A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01 | | South African Black | 2.4650 | | 142 |
|
78 | A*30-B*08-DRB1*13-DQB1*03:01 | | Mexico Colima, Colima city | 2.4590 | | 61 |
|
79 | A*30-B*13-DRB1*07-DQB1*02 | | Mexico Sonora, Ciudad Obregón | 2.4476 | | 143 |
|
80 | A*30:01-B*14:01 | | India West Coast Parsi | 2.4000 | | 50 |
|
81 | A*30:02-B*08:01-DRB1*04:01:01 | | Cape Verde Northwestern Islands | 2.4000 | | 62 |
|
82 | A*30:02-B*18:01:01-DRB1*03:01:01 | | Cape Verde Southeastern Islands | 2.4000 | | 62 |
|
83 | A*30-B*53 | | Pakistan Brahui | 2.4000 | | 104 |
|
84 | A*30:01:01-B*50:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*03:01:01-DPB1*13:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
85 | A*30:02:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*03:01:01-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
86 | A*30:02-B*40:02-DRB1*14:04 | | Israel Druze | 2.3800 | | 5,914 |
|
87 | A*30-B*13-DRB1*04-DQB1*03:02 | | Mexico Queretaro Rural | 2.3256 | | 43 |
|
88 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Queretaro Rural | 2.3256 | | 43 |
|
89 | A*30-B*18-C*05-DRB1*03-DQA1*05-DQB1*02 | | Spain, Castilla y Leon, Northwest, | 2.3183 | | 1,743 |
|
90 | A*30:01-B*13:02-DRB1*07:01 | | China Beijing Shijiazhuang Tianjian Han | 2.3000 | | 618 |
|
91 | A*30:01-B*42:01 | | Kenya Luo | 2.3000 | | 265 |
|
92 | A*30:02-B*81:01 | | Zambia Lusaka | 2.3000 | | 44 |
|
93 | A*30:02-B*81:01-C*07:04 | | Zambia Lusaka | 2.3000 | | 44 |
|
94 | A*30-B*42-DRB1*11-DQB1*03:01 | | Mexico Guanajuato, Guanajuato city | 2.2727 | | 22 |
|
95 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Korean | 2.2585 | | 77,584 |
|
96 | A*30:02-B*53:01-DRB1*13:02 | | Israel Iran Jews | 2.2300 | | 8,153 |
|
97 | A*30-B*18-C*05:01 | | Spain Majorca and Minorca | 2.2000 | | 90 |
|
98 | A*30:01-B*13:02-DRB1*07:01 | | South Korea pop 10 | 2.1900 | | 4,128 |
|
99 | A*30:02-B*38:01-DRB1*14:01 | | Israel Bukhara Jews | 2.1300 | | 2,317 |
|
100 | A*30-B*14:02-DRB1*01-DQB1*05 | | Mexico Campeche Rural | 2.1277 | | 47 |
|
* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).