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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | Brazil Rio de Janeiro Parda | 1.76 | 170 | 22_54_S_43_12_W |
| 2 | A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01 | Brazil Rio de Janeiro Black | 1.47 | 68 | 22_54_S_43_12_W |
| 3 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.94 | 23,595 | 52_0_N_19_22_E |
| 4 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | Russia Nizhny Novgorod, Russians | 0.82 | 1,510 | 56_19_N_43_59_E |
| 5 | A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02 | Russia Bashkortostan, Tatars | 0.78 | 192 | 54_13_N_56_9_E |
| 6 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Barra Mansa Rio State Caucasian | 0.62 | 405 | 22_32_S_44_10_W |
| 7 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01 | Russian Federation Vologda Region | 0.42 | 119 | 59_13_N_39_54_E |
| 8 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | Brazil Rio de Janeiro Caucasian | 0.39 | 521 | 22_54_S_43_12_W |
| 9 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01 | Russia Belgorod region | 0.33 | 153 | 50_46_N_37_27_E |
| 10 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Barra Mansa Rio State Caucasian | 0.31 | 405 | 22_32_S_44_10_W |
| 11 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | India Karnataka Kannada Speaking | 0.29 | 174 | 12_57_N_77_36_E |
| 12 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.29 | 23,595 | 52_0_N_19_22_E |
| 13 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | India Kerala Malayalam speaking | 0.28 | 356 | 13_1_N_80_15_E |
| 14 | A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | Russia Nizhny Novgorod, Russians | 0.12 | 1,510 | 56_19_N_43_59_E |
| 15 | A*03:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.10 | 23,595 | 52_0_N_19_22_E |
| 16 | A*24:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.10 | 23,595 | 52_0_N_19_22_E |
| 17 | A*01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.09 | 23,595 | 52_0_N_19_22_E |
| 18 | A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | China Zhejiang Han | 0.09 | 1,734 | 27_2_N_118_1_E |
| 19 | A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | China Zhejiang Han | 0.06 | 1,734 | 27_2_N_118_1_E |
| 20 | A*01:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | Russia Nizhny Novgorod, Russians | 0.06 | 1,510 | 56_19_N_43_59_E |
| 21 | A*03:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | Russia Nizhny Novgorod, Russians | 0.06 | 1,510 | 56_19_N_43_59_E |
| 22 | A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | Russia Nizhny Novgorod, Russians | 0.04 | 1,510 | 56_19_N_43_59_E |
| 23 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 24 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | China Zhejiang Han | 0.03 | 1,734 | 27_2_N_118_1_E |
| 25 | A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.03 | 23,595 | 52_0_N_19_22_E |
| 26 | A*31:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.02 | 23,595 | 52_0_N_19_22_E |
| 27 | A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 28 | A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 29 | A*03:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 30 | A*74:03-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 31 | A*68:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 32 | A*30:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 33 | A*29:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | 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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