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HLA » Haplotype Frequency Search
| Displaying all results from your selection. |  |
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*68-B*41-DRB1*01-DQB1*05 | Mexico Mexico City Metropolitan Area Rural | 0.66 | 150 | 19_7_N_98_45_W |
| 2 | A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | Russian Federation Vologda Region | 0.42 | 119 | 59_13_N_39_54_E |
| 3 | A*26:12-B*41:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01 | South Africa Worcester | 0.30 | 159 | 33_39_S_19_27_E |
| 4 | A*30:04:01-B*41:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01 | Russia Bashkortostan, Tatars | 0.26 | 192 | 54_13_N_56_9_E |
| 5 | A*68-B*41-DRB1*01-DQB1*05 | Ecuador Coast Mixed Ancestry | 0.21 | 238 | 2_11_S_79_53_W |
| 6 | A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 7 | A*01:01-B*41:01-C*06:15-DRB1*01:02-DQB1*05:01-DPB1*55:01 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 8 | A*26:30-B*41:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*11:01 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 9 | A*02-B*41-DRB1*01-DQB1*05 | Mexico Coahuila, Torreon | 0.13 | 396 | 25_32_N_103_24_W |
| 10 | A*32-B*41-DRB1*01-DQB1*05 | Mexico Puebla Rural | 0.12 | 833 | 19_57_N_97_38_W |
| 11 | A*66-B*41-DRB1*01-DQB1*05 | Mexico Veracruz Rural | 0.09 | 539 | 18_26_N_95_12_W |
| 12 | A*02-B*41-DRB1*01-DQB1*05 | Mexico Jalisco Rural | 0.09 | 585 | 20_52_N_103_50_W |
| 13 | A*24-B*41-DRB1*01-DQB1*05 | Mexico Jalisco Rural | 0.09 | 585 | 20_52_N_103_50_W |
| 14 | A*66-B*41-DRB1*01-DQB1*05 | Mexico Mexico City North | 0.07 | 751 | 19_29_N_99_7_W |
| 15 | A*66-B*41-DRB1*01-DQB1*05 | Mexico Tlaxcala Rural | 0.06 | 830 | 19_14_N_98_20_W |
| 16 | A*66-B*41-DRB1*01-DQB1*05 | Mexico Puebla Rural | 0.06 | 833 | 19_57_N_97_38_W |
| 17 | A*66:01-B*41:02-C*17:01-DRB1*01:01-DQB1*05:01-DPB1*02:01 | Russia Karelia | 0.06 | 1,075 | 63_9_N_32_59_E |
| 18 | A*02:01-B*41:02-C*17:01-DRB1*01:01-DQB1*05:01-DPB1*04:02 | Russia Karelia | 0.06 | 1,075 | 63_9_N_32_59_E |
| 19 | A*66-B*41-DRB1*01-DQB1*05 | Mexico Puebla, Puebla city | 0.05 | 1,994 | 19_2_N_98_12_W |
| 20 | A*66:03-B*41:01-C*16:04-DRB1*01:02-DQB1*05:01 | USA African American pop 4 | 0.04 | 2,411 | 44_58_N_93_15_W |
| 21 | A*68-B*41-DRB1*01-DQB1*05 | Ecuador Mixed Ancestry | 0.04 | 1,173 | 0_10_S_78_28_W |
| 22 | A*33-B*41-DRB1*01-DQB1*05 | Mexico Jalisco, Guadalajara city | 0.04 | 1,189 | 20_39_N_103_20_W |
| 23 | A*02:01:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 0.04 | 1,510 | 56_19_N_43_59_E |
| 24 | A*03:01-B*41:02-C*08:02-DRB1*01:01-DQB1*05:01 | Colombia Bogotá Cord Blood | 0.03 | 1,463 | 4_39_N_73_52_W |
| 25 | A*01:01-B*41:02-C*17:01-DRB1*01:01-DQB1*05:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 26 | A*68:02-B*41:01-C*17:01-DRB1*01:01-DQB1*05:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 27 | A*24-B*41-C*17-DRB1*01-DQA1*01-DQB1*05 | Spain, Castilla y Leon, Northwest, | 0.03 | 1,743 | 41_50_N_4_23_W |
| 28 | A*29-B*41-C*07-DRB1*01-DQA1*01-DQB1*05 | Spain, Castilla y Leon, Northwest, | 0.03 | 1,743 | 41_50_N_4_23_W |
| 29 | A*01:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 30 | A*02:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 31 | A*11:01-B*41:01-C*06:02-DRB1*01:01-DQB1*05:01 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 32 | A*32:01-B*41:01-C*17:01-DRB1*01:01-DQB1*05:01 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 33 | A*03:01-B*41:01-C*08:02-DRB1*01:01-DQB1*05:01 | USA African American pop 4 | 0.01 | 2,411 | 44_58_N_93_15_W |
| 34 | A*23:01-B*41:01-C*08:02-DRB1*01:01-DQB1*05:01 | USA African American pop 4 | 0.01 | 2,411 | 44_58_N_93_15_W |
| 35 | A*11:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 36 | A*29-B*41-C*17-DRB1*01-DQB1*05-DPB1*03 | Norway ethnic Norwegians | 0.01 | 4,510 | 61_0_N_10_0_E |
| 37 | A*66-B*41-C*17-DRB1*01-DQB1*05-DPB1*01 | Norway ethnic Norwegians | 0.01 | 4,510 | 61_0_N_10_0_E |
| 38 | A*02:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | India North UCBB | 0.01 | 5,849 | 28_36_N_77_11_E |
| 39 | A*24:02-B*41:01-C*12:03-DRB1*01:02-DQB1*05:01 | India North UCBB | 0.01 | 5,849 | 28_36_N_77_11_E |
| 40 | A*24:02-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | India North UCBB | 0.01 | 5,849 | 28_36_N_77_11_E |
| 41 | A*31:01-B*41:01-C*17:01-DRB1*01:02-DQB1*05:01 | India North UCBB | 0.01 | 5,849 | 28_36_N_77_11_E |
| 42 | A*66:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 43 | A*01:01:01-B*41:01:01-C*17:01:01-DRB1*01:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 44 | A*23:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 45 | A*23:01:01-B*41:01:01-C*17:01:01-DRB1*01:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 46 | A*24:02:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01:01 | 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.
support@allelefrequencies.net