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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*01:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Barra Mansa Rio State Caucasian | 0.63 | 405 | 22_32_S_44_10_W |
| 2 | A*01:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | Spain, Canary Islands, Gran canaria island | 0.23 | 215 | 27_57_N_15_36_W |
| 3 | A*03:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | Spain, Canary Islands, Gran canaria island | 0.23 | 215 | 27_57_N_15_36_W |
| 4 | A*29:02:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | Spain, Canary Islands, Gran canaria island | 0.23 | 215 | 27_57_N_15_36_W |
| 5 | A*02:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | USA African American pop 4 | 0.22 | 2,411 | 44_58_N_93_15_W |
| 6 | A*68:02:01-B*49:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01 | Costa Rica Central Valley Mestizo (G) | 0.19 | 221 | 9_55_N_84_5_W |
| 7 | A*02:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01 | Tanzania Maasai | 0.16 | 336 | 3_11_S_37_4_E |
| 8 | A*23:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.11 | 4,856 | 48_31_N_9_3_E |
| 9 | A*23:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Colombia Bogotá Cord Blood | 0.10 | 1,463 | 4_39_N_73_52_W |
| 10 | A*24:02-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Italy minority | 0.09 | 1,159 | 48_31_N_9_3_E |
| 11 | A*02:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02 | Russia Karelia | 0.06 | 1,075 | 63_9_N_32_59_E |
| 12 | A*24:02-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.05 | 4,856 | 48_31_N_9_3_E |
| 13 | A*74:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | USA Hispanic pop 2 | 0.05 | 1,999 | 44_58_N_93_15_W |
| 14 | A*01:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Italy minority | 0.05 | 1,159 | 48_31_N_9_3_E |
| 15 | A*68:02-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | USA African American pop 4 | 0.04 | 2,411 | 44_58_N_93_15_W |
| 16 | A*68:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Italy minority | 0.04 | 1,159 | 48_31_N_9_3_E |
| 17 | A*03:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.04 | 23,595 | 52_0_N_19_22_E |
| 18 | A*02:01-B*49:01-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 |
| 19 | A*23:01-B*49:01-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 |
| 20 | A*23:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 21 | A*31:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | India Tamil Nadu | 0.02 | 2,492 | 11_32_N_78_52_E |
| 22 | A*32:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | India West UCBB | 0.02 | 5,829 | 19_11_N_73_3_E |
| 23 | A*02:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 24 | A*01:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 25 | A*01:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 26 | A*33:03-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 27 | A*23:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 28 | A*03:02-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 29 | A*26:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 30 | A*66:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 31 | A*11:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 32 | A*23:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:08-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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