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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*30-B*50-DRB1*01-DQB1*05 | Mexico Campeche Rural | 3.19 | 47 | 18_6_N_89_48_W |
| 2 | A*32-B*50-DRB1*01-DQB1*05 | Mexico Jalisco, Tlaquepaque | 1.28 | 39 | 20_37_N_103_19_W |
| 3 | A*23-B*50-DRB1*01-DQB1*05 | Mexico Guanajuato, Leon | 0.64 | 78 | 21_7_N_101_41_W |
| 4 | A*02-B*50-DRB1*01:01-DQA1*01:01-DQB1*05:01 | Brazil Paraná Caucasian | 0.55 | 641 | 23_25_S_51_55_W |
| 5 | A*30:01-B*50:01-C*06:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:01 | Nicaragua Managua | 0.43 | 339 | 12_7_N_86_10_W |
| 6 | A*02-B*50-DRB1*01-DQB1*05 | Mexico Durango, Durango city | 0.32 | 153 | 24_1_N_104_39_W |
| 7 | A*02-B*50-DRB1*01-DQB1*05 | Mexico Guanajuato Rural | 0.31 | 162 | 20_54_N_100_44_W |
| 8 | A*01:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01 | Spain, Canary Islands, Gran canaria island | 0.23 | 215 | 27_57_N_15_36_W |
| 9 | A*02:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01 | Spain, Canary Islands, Gran canaria island | 0.23 | 215 | 27_57_N_15_36_W |
| 10 | A*66:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01 | Spain, Canary Islands, Gran canaria island | 0.23 | 215 | 27_57_N_15_36_W |
| 11 | A*02:01:01-B*50:01:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 12 | A*33:03:01-B*50:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*04:02:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 13 | A*30-B*50-C*06-DRB1*01-DQA1*01-DQB1*05 | Spain, Castilla y Leon, Northwest, | 0.13 | 1,743 | 41_50_N_4_23_W |
| 14 | A*02-B*50-DRB1*01-DQB1*05 | Mexico Puebla Rural | 0.12 | 833 | 19_57_N_97_38_W |
| 15 | A*29-B*50-DRB1*01:01-DQA1*01:01-DQB1*05:01 | Brazil Paraná Caucasian | 0.08 | 641 | 23_25_S_51_55_W |
| 16 | A*02-B*50-C*06-DRB1*01-DQA1*01-DQB1*05 | Spain, Castilla y Leon, Northwest, | 0.08 | 1,743 | 41_50_N_4_23_W |
| 17 | A*33:01-B*50:01-C*04:01-DRB1*01:02-DQB1*05:01 | Colombia Bogotá Cord Blood | 0.07 | 1,463 | 4_39_N_73_52_W |
| 18 | A*02:05:01-B*50:01:01-C*06:02:01:02-DRB1*01:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 0.07 | 1,510 | 56_19_N_43_59_E |
| 19 | A*30-B*50-DRB1*01-DQB1*05 | Mexico Tlaxcala Rural | 0.06 | 830 | 19_14_N_98_20_W |
| 20 | A*02:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01 | USA Hispanic pop 2 | 0.05 | 1,999 | 44_58_N_93_15_W |
| 21 | A*03:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01 | Germany DKMS - Italy minority | 0.04 | 1,159 | 48_31_N_9_3_E |
| 22 | A*11-B*50-DRB1*01-DQB1*05 | Mexico Jalisco, Guadalajara city | 0.04 | 1,189 | 20_39_N_103_20_W |
| 23 | A*01:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 24 | A*02:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 25 | A*30:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.03 | 4,335 | 41_22_N_2_11_E |
| 26 | A*02-B*50-C*15-DRB1*01-DQA1*01-DQB1*05 | Spain, Castilla y Leon, Northwest, | 0.03 | 1,743 | 41_50_N_4_23_W |
| 27 | A*23-B*50-C*04-DRB1*01-DQA1*01-DQB1*05 | Spain, Castilla y Leon, Northwest, | 0.03 | 1,743 | 41_50_N_4_23_W |
| 28 | A*26-B*50-C*06-DRB1*01-DQA1*01-DQB1*05 | Spain, Castilla y Leon, Northwest, | 0.03 | 1,743 | 41_50_N_4_23_W |
| 29 | A*29-B*50-C*06-DRB1*01-DQA1*01-DQB1*05 | Spain, Castilla y Leon, Northwest, | 0.03 | 1,743 | 41_50_N_4_23_W |
| 30 | A*30:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01 | Germany DKMS - Turkey minority | 0.03 | 4,856 | 48_31_N_9_3_E |
| 31 | A*30:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01 | India West UCBB | 0.02 | 5,829 | 19_11_N_73_3_E |
| 32 | A*02:05-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01 | India North UCBB | 0.01 | 5,849 | 28_36_N_77_11_E |
| 33 | A*33:03-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 34 | A*23:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01 | USA African American pop 4 | 0.01 | 2,411 | 44_58_N_93_15_W |
| 35 | A*29:02-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01 | USA African American pop 4 | 0.01 | 2,411 | 44_58_N_93_15_W |
| 36 | A*02-B*50-C*06-DRB1*01-DQB1*05-DPB1*04 | Norway ethnic Norwegians | 0.01 | 4,510 | 61_0_N_10_0_E |
| 37 | A*03-B*50-C*06-DRB1*01-DQB1*05-DPB1*01 | Norway ethnic Norwegians | 0.01 | 4,510 | 61_0_N_10_0_E |
| 38 | A*69:01-B*50:01-C*06:06-DRB1*01:01-DQB1*05:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 39 | A*03:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01 | India South UCBB | 0.01 | 11,446 | 13_6_N_80_8_E |
| 40 | A*30:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 41 | A*02:05:01-B*50:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 42 | A*02:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 43 | A*30:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 44 | A*02:05:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 45 | A*01:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 46 | A*23:01:01-B*50:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 47 | A*68:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-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.
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