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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*32:01-B*41:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01 | Mexico Tixcacaltuyub Maya | 0.75 | 67 | 20_29_N_88_54_W |
| 2 | A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:19 | Brazil Barra Mansa Rio State Caucasian | 0.63 | 405 | 22_32_S_44_10_W |
| 3 | A*01:01-B*41:01-DRB1*03:01-DQB1*02:01 | Iran Tabriz Azeris | 0.52 | 97 | 38_4_N_46_17_E |
| 4 | A*30:01-B*41:01-DRB1*03:01-DQB1*02:01 | Iran Tabriz Azeris | 0.52 | 97 | 38_4_N_46_17_E |
| 5 | A*30:04-B*41:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | Kenya, Nyanza Province, Luo tribe | 0.50 | 100 | 0_5_S_34_46_E |
| 6 | A*24:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*03:01 | Tanzania Maasai | 0.32 | 336 | 3_11_S_37_4_E |
| 7 | A*68:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*15:01 | Tanzania Maasai | 0.32 | 336 | 3_11_S_37_4_E |
| 8 | A*11:01-B*41:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*03:01 | South Africa Worcester | 0.30 | 159 | 33_39_S_19_27_E |
| 9 | A*01:01:01:01-B*41:01:01-C*07:01:02-DRB1*03:01:01:01-DQB1*02:01:01 | Russia Bashkortostan, Tatars | 0.26 | 192 | 54_13_N_56_9_E |
| 10 | A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01:01-DQB1*02:01:01 | Russia Bashkortostan, Tatars | 0.26 | 192 | 54_13_N_56_9_E |
| 11 | A*03:01-B*41:01-C*15:05-DRB1*03:01-DQB1*02:01-DPB1*03:01 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 12 | A*33:03-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*04:02 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 13 | A*01:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Italy pop 5 | 0.14 | 975 | 45_28_N_9_11_E |
| 14 | A*02:05-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Italy pop 5 | 0.14 | 975 | 45_28_N_9_11_E |
| 15 | A*23:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Italy pop 5 | 0.14 | 975 | 45_28_N_9_11_E |
| 16 | A*30:04-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Italy pop 5 | 0.14 | 975 | 45_28_N_9_11_E |
| 17 | A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Italy pop 5 | 0.14 | 975 | 45_28_N_9_11_E |
| 18 | A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.13 | 4,856 | 48_31_N_9_3_E |
| 19 | A*02:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.12 | 4,856 | 48_31_N_9_3_E |
| 20 | A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | USA Hispanic pop 2 | 0.09 | 1,999 | 44_58_N_93_15_W |
| 21 | A*02:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Italy minority | 0.09 | 1,159 | 48_31_N_9_3_E |
| 22 | A*32:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Italy minority | 0.09 | 1,159 | 48_31_N_9_3_E |
| 23 | A*02:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.08 | 4,856 | 48_31_N_9_3_E |
| 24 | A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.08 | 23,595 | 52_0_N_19_22_E |
| 25 | A*02:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.07 | 4,335 | 41_22_N_2_11_E |
| 26 | A*02:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.07 | 4,335 | 41_22_N_2_11_E |
| 27 | A*11:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | Russia Karelia | 0.06 | 1,075 | 63_9_N_32_59_E |
| 28 | A*02:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*23:01 | Russia Karelia | 0.06 | 1,075 | 63_9_N_32_59_E |
| 29 | A*02:05-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01 | Malaysia Peninsular Malay | 0.05 | 951 | 3_9_N_101_57_E |
| 30 | A*01:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.05 | 4,856 | 48_31_N_9_3_E |
| 31 | A*02:05-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.05 | 4,856 | 48_31_N_9_3_E |
| 32 | A*23:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Colombia Bogotá Cord Blood | 0.03 | 1,463 | 4_39_N_73_52_W |
| 33 | A*02:05-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 34 | A*25:01:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 35 | A*30:04:01-B*41:01:01-C*16:02:01-DRB1*03:01:01-DQB1*02:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 36 | A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 37 | A*30:04-B*41:01-C*16:02-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.03 | 4,856 | 48_31_N_9_3_E |
| 38 | A*30:04:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.02 | 23,595 | 52_0_N_19_22_E |
| 39 | A*32:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.02 | 23,595 | 52_0_N_19_22_E |
| 40 | A*24:02-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.02 | 4,856 | 48_31_N_9_3_E |
| 41 | A*02:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | India North UCBB | 0.02 | 5,849 | 28_36_N_77_11_E |
| 42 | A*24:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 43 | A*03:01:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 44 | A*23:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 45 | A*26:01-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 46 | A*02:05:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 47 | A*25:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 48 | A*03:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 49 | A*01:01:01-B*41:01:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 50 | A*02:05:01-B*41:01:01-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.
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