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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*30:04:01-B*45:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01 | Costa Rica Central Valley Mestizo (G) | 1.58 | 221 | 9_55_N_84_5_W |
| 2 | A*03-B*45-DRB1*11-DQB1*03:01 | Mexico Jalisco, Tonala | 1.43 | 35 | 20_37_N_103_14_W |
| 3 | A*26-B*45-DRB1*11-DQB1*03:01 | Mexico Sonora, Hermosillo | 1.01 | 99 | 29_4_N_110_57_W |
| 4 | A*29-B*45-DRB1*11-DQB1*03:01 | Mexico Veracruz, Orizaba | 0.83 | 60 | 18_51_N_97_6_W |
| 5 | A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01 | South African Black | 0.70 | 142 | 29_9_S_24_39_E |
| 6 | A*29:02-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*18:01 | Tanzania Maasai | 0.64 | 336 | 3_11_S_37_4_E |
| 7 | A*02-B*45-DRB1*11-DQB1*03:01 | Mexico Guanajuato Rural | 0.61 | 162 | 20_54_N_100_44_W |
| 8 | A*24-B*45-DRB1*11-DQB1*03:01 | Mexico Durango Rural | 0.61 | 326 | 26_41_N_103_44_W |
| 9 | A*02-B*45-DRB1*11-DQB1*03:01 | Mexico Tabasco, Villahermosa | 0.61 | 82 | 17_59_N_92_56_W |
| 10 | A*24-B*45-DRB1*11-DQB1*03:01 | Mexico Zacatecas, Zacatecas city | 0.60 | 84 | 22_46_N_102_34_W |
| 11 | A*02:01-B*45:01-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02 | Kenya, Nyanza Province, Luo tribe | 0.50 | 100 | 0_5_S_34_46_E |
| 12 | A*23-B*45-DRB1*11-DQB1*03:01 | Mexico Zacatecas, Fresnillo | 0.48 | 103 | 23_10_N_102_52_W |
| 13 | A*29-B*45-DRB1*11-DQB1*03:01 | Mexico Tabasco Rural | 0.35 | 142 | 18_23_N_93_12_W |
| 14 | A*23-B*45-DRB1*11-DQB1*03:01 | Mexico Mexico City Metropolitan Area Rural | 0.33 | 150 | 19_7_N_98_45_W |
| 15 | A*26-B*45-DRB1*11-DQB1*03:01 | Mexico Mexico City Metropolitan Area Rural | 0.33 | 150 | 19_7_N_98_45_W |
| 16 | A*02-B*45-DRB1*11-DQB1*03:01 | Mexico Mexico City Center | 0.32 | 152 | 19_25_N_99_7_W |
| 17 | A*02:01-B*45:01-C*16:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02 | South Africa Worcester | 0.30 | 159 | 33_39_S_19_27_E |
| 18 | A*30-B*45-DRB1*11-DQB1*03:01 | Mexico Jalisco, Zapopan | 0.30 | 168 | 20_40_N_103_24_W |
| 19 | A*30-B*45-DRB1*11-DQB1*03:01 | Mexico Coahuila, Torreon | 0.25 | 396 | 25_32_N_103_24_W |
| 20 | A*24:02-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01 | USA NMDP Hawaiian or other Pacific Islander | 0.23 | 11,499 | 38_45_N_76_6_W |
| 21 | A*69:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | Spain, Canary Islands, Gran canaria island | 0.23 | 215 | 27_57_N_15_36_W |
| 22 | A*23-B*45-DRB1*11-DQB1*03:01 | Mexico Oaxaca Rural | 0.21 | 485 | 15_49_N_96_19_W |
| 23 | A*24:02-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01-DPB1*04:02 | Panama | 0.19 | 462 | 8_59_N_79_37_W |
| 24 | A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | Colombia Bogotá Cord Blood | 0.17 | 1,463 | 4_39_N_73_52_W |
| 25 | A*02-B*45-DRB1*11-DQB1*03:01 | Mexico Jalisco Rural | 0.17 | 585 | 20_52_N_103_50_W |
| 26 | A*02:01-B*45:01-C*06:11-DRB1*11:02-DQB1*03:01-DPB1*124:01 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 27 | A*02-B*45-DRB1*11-DQB1*03:01 | Mexico Durango Rural | 0.15 | 326 | 26_41_N_103_44_W |
| 28 | A*02-B*45-DRB1*11-DQB1*03:01 | Mexico Michoacan Rural | 0.14 | 348 | 19_38_N_101_38_W |
| 29 | A*23:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | USA NMDP Black South or Central American | 0.14 | 4,889 | 38_45_N_76_6_W |
| 30 | A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | Colombia Bogotá Cord Blood | 0.14 | 1,463 | 4_39_N_73_52_W |
| 31 | A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | USA African American pop 4 | 0.13 | 2,411 | 44_58_N_93_15_W |
| 32 | A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.10 | 4,335 | 41_22_N_2_11_E |
| 33 | A*02-B*45-DRB1*11-DQB1*03:01 | Mexico Oaxaca Rural | 0.10 | 485 | 15_49_N_96_19_W |
| 34 | A*29-B*45-DRB1*11-DQB1*03:01 | Mexico Veracruz Rural | 0.09 | 539 | 18_26_N_95_12_W |
| 35 | A*02:01-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01 | USA African American pop 4 | 0.09 | 2,411 | 44_58_N_93_15_W |
| 36 | A*11-B*45-DRB1*11-DQB1*03:01 | Mexico Jalisco Rural | 0.09 | 585 | 20_52_N_103_50_W |
| 37 | A*03-B*45-DRB1*11:02-DQA1*05:05-DQB1*03:01 | Brazil Paraná Caucasian | 0.08 | 641 | 23_25_S_51_55_W |
| 38 | A*29-B*45-DRB1*11:01-DQA1*05:05-DQB1*03:01 | Brazil Paraná Caucasian | 0.08 | 641 | 23_25_S_51_55_W |
| 39 | A*29:02:01:02-B*45:01:01-C*06:02:01:03-DRB1*11:04:01-DQB1*03:01 | Russia Nizhny Novgorod, Russians | 0.07 | 1,510 | 56_19_N_43_59_E |
| 40 | A*02:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | USA Hispanic pop 2 | 0.05 | 1,999 | 44_58_N_93_15_W |
| 41 | A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | USA Hispanic pop 2 | 0.05 | 1,999 | 44_58_N_93_15_W |
| 42 | A*01:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | USA African American pop 4 | 0.04 | 2,411 | 44_58_N_93_15_W |
| 43 | A*74:01-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01 | USA African American pop 4 | 0.04 | 2,411 | 44_58_N_93_15_W |
| 44 | A*74:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | USA African American pop 4 | 0.04 | 2,411 | 44_58_N_93_15_W |
| 45 | A*74:01-B*45:01-C*16:01-DRB1*11:04-DQB1*03:01 | USA Asian pop 2 | 0.04 | 1,772 | 44_58_N_93_15_W |
| 46 | A*33:03-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01 | Germany DKMS - Italy minority | 0.04 | 1,159 | 48_31_N_9_3_E |
| 47 | A*02-B*45-DRB1*11-DQB1*03:01 | Mexico Jalisco, Guadalajara city | 0.04 | 1,189 | 20_39_N_103_20_W |
| 48 | A*30-B*45-DRB1*11-DQB1*03:01 | Mexico Jalisco, Guadalajara city | 0.04 | 1,189 | 20_39_N_103_20_W |
| 49 | A*02:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 50 | A*02:01:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 51 | A*02:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01 | Poland BMR | 0.03 | 23,595 | 52_0_N_19_22_E |
| 52 | A*29:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | Germany DKMS - Turkey minority | 0.02 | 4,856 | 48_31_N_9_3_E |
| 53 | A*02:01-B*45:01-C*16:01-DRB1*11:01-DQB1*03:01 | Germany DKMS - Turkey minority | 0.02 | 4,856 | 48_31_N_9_3_E |
| 54 | A*02:02-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | USA African American pop 4 | 0.01 | 2,411 | 44_58_N_93_15_W |
| 55 | A*66:01-B*45:01-C*16:01-DRB1*11:02-DQB1*03:01 | USA African American pop 4 | 0.01 | 2,411 | 44_58_N_93_15_W |
| 56 | A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 57 | A*32:01:01-B*45:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 58 | A*03:01:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 59 | A*32:01-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 60 | A*32:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 61 | A*32:08-B*45:01-C*06:02-DRB1*11:01-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 62 | A*02:07:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 63 | A*25:01:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 64 | A*32:01-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 65 | A*32:01-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 66 | A*32:01-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 67 | A*32:01-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 68 | A*32:02-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 69 | A*32:02-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 70 | A*32:02-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 71 | A*32:02-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 72 | A*32:08-B*45:01-C*06:02-DRB1*11:04-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 73 | A*32:08-B*45:01-C*06:02-DRB1*11:06-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 74 | A*32:08-B*45:01-C*06:02-DRB1*11:08-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 75 | A*32:08-B*45:01-C*06:02-DRB1*11:11-DQB1*03:01 | India Tamil Nadu | 0.00 | 2,492 | 11_32_N_78_52_E |
| 76 | A*24:02:01-B*45:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01 | 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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