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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*30-B*41-C*06-DRB1*13-DQB1*06 | Sudan Khartoum | 1.02 | 98 | 15_32_N_32_32_E |
| 2 | A*29-B*41-DRB1*13-DQB1*06 | Mexico Veracruz, Coatzacoalcos | 0.89 | 55 | 18_8_N_94_27_W |
| 3 | A*66:01:01-B*41:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01 | Mexico Hidalgo Mezquital Valley/ Otomi | 0.69 | 72 | 20_28_N_99_13_W |
| 4 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Oaxaca, Oaxaca city | 0.66 | 151 | 17_4_N_96_43_W |
| 5 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Hidalgo Rural | 0.62 | 81 | 20_38_N_98_59_W |
| 6 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Nayarit, Tepic | 0.52 | 97 | 21_30_N_104_53_W |
| 7 | A*66-B*41-DRB1*13-DQB1*06 | Mexico Nayarit, Tepic | 0.52 | 97 | 21_30_N_104_53_W |
| 8 | A*68:01-B*41:01-DRB1*13:01-DQB1*06:03 | Iran Tabriz Azeris | 0.52 | 97 | 38_4_N_46_17_E |
| 9 | A*68-B*41-C*06-DRB1*13-DQB1*06 | Sudan Khartoum | 0.51 | 98 | 15_32_N_32_32_E |
| 10 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Zacatecas, Fresnillo | 0.48 | 103 | 23_10_N_102_52_W |
| 11 | A*31-B*41-DRB1*13-DQB1*06 | Mexico Coahuila Rural | 0.46 | 216 | 26_59_N_102_3_W |
| 12 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Chihuahua Chihuahua City | 0.42 | 119 | 28_37_N_106_4_W |
| 13 | A*32:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01 | Russian Federation Vologda Region | 0.42 | 119 | 59_13_N_39_54_E |
| 14 | A*31:01:02:01-B*41:02:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01 | Russia Bashkortostan, Bashkirs | 0.42 | 120 | 54_0_N_55_0_E |
| 15 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Guerrero state | 0.35 | 144 | 17_36_N_99_57_W |
| 16 | A*01-B*41-DRB1*13-DQB1*06 | Iraq Arabs | 0.34 | 149 | 33_18_N_44_21_E |
| 17 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Michoacan, Morelia | 0.33 | 150 | 19_42_N_101_11_W |
| 18 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Mexico City Metropolitan Area Rural | 0.33 | 150 | 19_7_N_98_45_W |
| 19 | A*01:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04-DPB1*04:01 | Tanzania Maasai | 0.32 | 336 | 3_11_S_37_4_E |
| 20 | A*29:02:01-B*41:02:01-C*17:03:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Barra Mansa Rio State Caucasian | 0.31 | 405 | 22_32_S_44_10_W |
| 21 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Tlaxcala Rural | 0.30 | 830 | 19_14_N_98_20_W |
| 22 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Michoacan Rural | 0.29 | 348 | 19_38_N_101_38_W |
| 23 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Tlaxcala, Tlaxcala city | 0.28 | 181 | 19_18_N_98_14_W |
| 24 | A*29-B*41-DRB1*13-DQB1*06 | Mexico Chihuahua Rural | 0.21 | 236 | 27_18_N_107_53_W |
| 25 | A*68:01:02-B*41:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*13:01:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 26 | A*74:01:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 27 | A*68-B*41-DRB1*13-DQB1*06 | Mexico Puebla Rural | 0.18 | 833 | 19_57_N_97_38_W |
| 28 | A*01:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:85-DPB1*15:01 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 29 | A*30:04-B*41:01-C*02:09-DRB1*13:01-DQB1*06:03-DPB1*131:01 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 30 | A*68:02-B*41:01-C*08:13-DRB1*13:02-DQB1*06:04-DPB1*01:01 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 31 | A*23-B*41-DRB1*13-DQB1*06 | Mexico Durango Rural | 0.15 | 326 | 26_41_N_103_44_W |
| 32 | A*30-B*41-DRB1*13-DQB1*06 | Mexico Durango Rural | 0.15 | 326 | 26_41_N_103_44_W |
| 33 | A*02:01-B*41:01-DRB1*13:02-DQB1*06:04 | Mexico Mexico City Tlalpan | 0.15 | 330 | 19_25_N_99_8_W |
| 34 | A*23:01-B*41:01-DRB1*13:01-DQB1*06:09 | Mexico Mexico City Tlalpan | 0.15 | 330 | 19_25_N_99_8_W |
| 35 | A*30-B*41-DRB1*13-DQB1*06 | Mexico Michoacan Rural | 0.14 | 348 | 19_38_N_101_38_W |
| 36 | A*24:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04 | USA Hispanic pop 2 | 0.14 | 1,999 | 44_58_N_93_15_W |
| 37 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Jalisco, Guadalajara city | 0.13 | 1,189 | 20_39_N_103_20_W |
| 38 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Coahuila, Torreon | 0.13 | 396 | 25_32_N_103_24_W |
| 39 | A*24-B*41-DRB1*13-DQB1*06 | Ecuador Andes Mixed Ancestry | 0.12 | 824 | 1_28_S_78_49_W |
| 40 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Nuevo Leon Rural | 0.11 | 439 | 25_37_N_100_14_W |
| 41 | A*01:01:01-B*41:01-C*17:01:01-DRB1*13:01-DQB1*06:03 | Costa Rica Central Valley Mestizo (G) | 0.10 | 221 | 9_55_N_84_5_W |
| 42 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Jalisco Rural | 0.09 | 585 | 20_52_N_103_50_W |
| 43 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Jalisco Rural | 0.09 | 585 | 20_52_N_103_50_W |
| 44 | A*24-B*41-DRB1*13-DQB1*06 | Ecuador Mixed Ancestry | 0.09 | 1,173 | 0_10_S_78_28_W |
| 45 | A*31-B*41-DRB1*13-DQB1*06 | Mexico Jalisco Rural | 0.09 | 585 | 20_52_N_103_50_W |
| 46 | A*66-B*41-DRB1*13-DQB1*06 | Mexico Jalisco, Guadalajara city | 0.08 | 1,189 | 20_39_N_103_20_W |
| 47 | A*03-B*41-C*17-DRB1*13-DQA1*01-DQB1*06 | Spain, Castilla y Leon, Northwest, | 0.08 | 1,743 | 41_50_N_4_23_W |
| 48 | A*03-B*41-DRB1*13:01-DQA1*01:03-DQB1*06:03 | Brazil Paraná Caucasian | 0.08 | 641 | 23_25_S_51_55_W |
| 49 | A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*06:03-DPB1*14:01 | Russia Karelia | 0.06 | 1,075 | 63_9_N_32_59_E |
| 50 | A*02:01-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03-DPB1*02:01 | Russia Karelia | 0.06 | 1,075 | 63_9_N_32_59_E |
| 51 | A*01:01-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03-DPB1*02:01 | Russia Karelia | 0.06 | 1,075 | 63_9_N_32_59_E |
| 52 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Puebla, Puebla city | 0.05 | 1,994 | 19_2_N_98_12_W |
| 53 | A*66-B*41-C*17-DRB1*13-DQB1*06-DPB1*03 | Norway ethnic Norwegians | 0.05 | 4,510 | 61_0_N_10_0_E |
| 54 | A*24:02-B*41:01-C*06:02-DRB1*13:02-DQB1*06:04 | USA Hispanic pop 2 | 0.05 | 1,999 | 44_58_N_93_15_W |
| 55 | A*30:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04 | USA Hispanic pop 2 | 0.05 | 1,999 | 44_58_N_93_15_W |
| 56 | A*30:02-B*41:02-C*17:01-DRB1*13:02-DQB1*06:09 | USA Hispanic pop 2 | 0.05 | 1,999 | 44_58_N_93_15_W |
| 57 | A*23:01-B*41:02-C*17:01-DRB1*13:02-DQB1*06:09 | USA African American pop 4 | 0.04 | 2,411 | 44_58_N_93_15_W |
| 58 | A*33:01-B*41:02-C*17:01-DRB1*13:02-DQB1*06:09 | USA African American pop 4 | 0.04 | 2,411 | 44_58_N_93_15_W |
| 59 | A*34:02-B*41:03-C*17:01-DRB1*13:02-DQB1*06:09 | USA African American pop 4 | 0.04 | 2,411 | 44_58_N_93_15_W |
| 60 | A*24-B*41-DRB1*13-DQB1*06 | Mexico Jalisco, Guadalajara city | 0.04 | 1,189 | 20_39_N_103_20_W |
| 61 | A*33-B*41-DRB1*13-DQB1*06 | Mexico Jalisco, Guadalajara city | 0.04 | 1,189 | 20_39_N_103_20_W |
| 62 | A*68-B*41-DRB1*13-DQB1*06 | Mexico Jalisco, Guadalajara city | 0.04 | 1,189 | 20_39_N_103_20_W |
| 63 | A*23-B*41-C*17-DRB1*13-DQA1*01-DQB1*06 | Spain, Castilla y Leon, Northwest, | 0.04 | 1,743 | 41_50_N_4_23_W |
| 64 | A*02-B*41-C*17-DRB1*13-DQA1*01-DQB1*06 | Spain, Castilla y Leon, Northwest, | 0.04 | 1,743 | 41_50_N_4_23_W |
| 65 | A*02:13-B*41:02-C*03:04-DRB1*13:02-DQB1*06:09 | Colombia Bogotá Cord Blood | 0.03 | 1,463 | 4_39_N_73_52_W |
| 66 | A*30:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:09 | Colombia Bogotá Cord Blood | 0.03 | 1,463 | 4_39_N_73_52_W |
| 67 | A*01:01-B*41:02-C*17:01-DRB1*13:02-DQB1*06:04 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 68 | A*24:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 69 | A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:02:01-DQB1*06:09:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 70 | A*01-B*41-C*17-DRB1*13-DQA1*02-DQB1*06 | Spain, Castilla y Leon, Northwest, | 0.03 | 1,743 | 41_50_N_4_23_W |
| 71 | A*01:01:01-B*41:01-C*17:01:01-DRB1*13:01-DQB1*06:04 | Costa Rica Central Valley Mestizo (G) | 0.03 | 221 | 9_55_N_84_5_W |
| 72 | A*02-B*41-DRB1*13-DQB1*06 | Mexico Puebla, Puebla city | 0.03 | 1,994 | 19_2_N_98_12_W |
| 73 | A*02:01-B*41:01-C*16:02-DRB1*13:02-DQB1*06:04 | USA African American pop 4 | 0.02 | 2,411 | 44_58_N_93_15_W |
| 74 | A*02:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04 | Germany DKMS - Turkey minority | 0.02 | 4,856 | 48_31_N_9_3_E |
| 75 | A*02:01-B*41:01-C*17:01-DRB1*13:01-DQB1*06:03 | India Tamil Nadu | 0.02 | 2,492 | 11_32_N_78_52_E |
| 76 | A*02:01-B*41:01-C*17:01-DRB1*13:01-DQB1*06:03 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 77 | A*30:02-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03 | USA Hispanic pop 2 | 0.01 | 1,999 | 44_58_N_93_15_W |
| 78 | A*66:01-B*41:02-C*17:01-DRB1*13:01-DQB1*06:03 | USA Hispanic pop 2 | 0.01 | 1,999 | 44_58_N_93_15_W |
| 79 | A*03:01-B*41:01-C*08:02-DRB1*13:01-DQB1*06:03 | USA African American pop 4 | 0.01 | 2,411 | 44_58_N_93_15_W |
| 80 | A*23:01-B*41:01-C*08:02-DRB1*13:01-DQB1*06:03 | USA African American pop 4 | 0.01 | 2,411 | 44_58_N_93_15_W |
| 81 | A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 82 | A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:03:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 83 | A*02:05-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 84 | A*02:22-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 85 | A*03:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 86 | A*29-B*41-C*17-DRB1*13-DQB1*06-DPB1*04 | Norway ethnic Norwegians | 0.01 | 4,510 | 61_0_N_10_0_E |
| 87 | A*66-B*41-C*17-DRB1*13-DQB1*06-DPB1*04 | Norway ethnic Norwegians | 0.01 | 4,510 | 61_0_N_10_0_E |
| 88 | A*66-B*41-C*17-DRB1*13-DQB1*06-DPB1*17 | Norway ethnic Norwegians | 0.01 | 4,510 | 61_0_N_10_0_E |
| 89 | A*26:01-B*41:02-C*17:03-DRB1*13:03-DQB1*06:01 | India West UCBB | 0.01 | 5,829 | 19_11_N_73_3_E |
| 90 | A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 91 | A*30:04:01-B*41:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 92 | A*02:01:01-B*41:01:01-C*17:01:01-DRB1*13:01:01-DQB1*06:03:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 93 | A*66:01:01-B*41:02:01-C*17:03-DRB1*13:01:01-DQB1*06:03:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 94 | A*24:02:01-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 95 | A*02:01:01-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 96 | A*02:01:01-B*41:02:01-C*17:03-DRB1*13:01:01-DQB1*06:03:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 97 | A*23:01:01-B*41:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 98 | A*23:01:01-B*41:01:01-C*17:01:01-DRB1*13:01:01-DQB1*06:03:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 99 | A*03:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 100 | A*01:01:01-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:09:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 101 | A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:04:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 102 | A*02:05:01-B*41:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 103 | A*02:17:02-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 104 | A*02:686-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 105 | A*11:01:01-B*41:01:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 106 | A*11:01:79-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:03:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 107 | A*30:01:01-B*41:02:01-C*06:02:01-DRB1*13:03:01-DQB1*06:02:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 108 | A*11:01:79-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 109 | A*24:02:01-B*41:02:01-C*17:03-DRB1*13:01:01-DQB1*06:03:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 110 | A*25:01:01-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01 | 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.
support@allelefrequencies.net