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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*30:02:01-B*37:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01-DPA1*02:01:08-DPB1*01:01:01 | Brazil Rio de Janeiro Black | 1.47 | 68 | 22_54_S_43_12_W |
| 2 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Karnataka Kannada Speaking | 1.15 | 174 | 12_57_N_77_36_E |
| 3 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01 | China Jingpo Minority | 1.04 | 105 | 25_0_N_102_0_E |
| 4 | A*01:01:01-B*37:01:01-DRB1*10:01:01 | China Jingpo Minority | 1.04 | 105 | 25_0_N_102_0_E |
| 5 | B*37:01:01-C*06:02:01-DRB1*10:01:01 | China Jingpo Minority | 1.04 | 105 | 25_0_N_102_0_E |
| 6 | B*37:01:01-DRB1*10:01:01 | China Jingpo Minority | 1.04 | 105 | 25_0_N_102_0_E |
| 7 | A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Kerala Malayalam speaking | 0.95 | 356 | 13_1_N_80_15_E |
| 8 | A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Andhra Pradesh Telugu Speaking | 0.81 | 186 | 13_4_N_80_14_E |
| 9 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Kerala Malayalam speaking | 0.60 | 356 | 13_1_N_80_15_E |
| 10 | A*02:11:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Andhra Pradesh Telugu Speaking | 0.54 | 186 | 13_4_N_80_14_E |
| 11 | A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01 | Russia Bashkortostan, Tatars | 0.52 | 192 | 54_13_N_56_9_E |
| 12 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01 | Costa Rica Guanacaste Mestizo (G) | 0.45 | 110 | 10_16_N_85_37_W |
| 13 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Kerala Malayalam speaking | 0.42 | 356 | 13_1_N_80_15_E |
| 14 | A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Kerala Malayalam speaking | 0.42 | 356 | 13_1_N_80_15_E |
| 15 | A*31:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01 | Russian Federation Vologda Region | 0.42 | 119 | 59_13_N_39_54_E |
| 16 | A*31:01:02:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*05:01 | Russia Bashkortostan, Bashkirs | 0.42 | 120 | 54_0_N_55_0_E |
| 17 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01 | Costa Rica Amerindians (G) | 0.40 | 125 | 9_34_N_83_25_W |
| 18 | A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Barra Mansa Rio State Caucasian | 0.31 | 405 | 22_32_S_44_10_W |
| 19 | A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Kerala Malayalam speaking | 0.28 | 356 | 13_1_N_80_15_E |
| 20 | A*11:01:01-B*37:01:01-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01 | India Andhra Pradesh Telugu Speaking | 0.27 | 186 | 13_4_N_80_14_E |
| 21 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Andhra Pradesh Telugu Speaking | 0.27 | 186 | 13_4_N_80_14_E |
| 22 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01 | Costa Rica Central Valley Mestizo (G) | 0.23 | 221 | 9_55_N_84_5_W |
| 23 | A*68:01-B*37:01:01-C*06:02-DRB1*10:01:01-DQB1*05:01:01 | England North West | 0.20 | 298 | 53_0_N_3_0_W |
| 24 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 25 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 26 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 27 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | China Zhejiang Han | 0.17 | 1,734 | 27_2_N_118_1_E |
| 28 | A*02:03:01-B*37:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01 | India Kerala Malayalam speaking | 0.14 | 356 | 13_1_N_80_15_E |
| 29 | A*11:01:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*06:01:01 | India Kerala Malayalam speaking | 0.14 | 356 | 13_1_N_80_15_E |
| 30 | A*32:01:01-B*37:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01 | India Kerala Malayalam speaking | 0.14 | 356 | 13_1_N_80_15_E |
| 31 | A*33:03:01-B*37:01:01-C*07:02:01-DRB1*10:01:01-DQB1*06:01:01 | India Kerala Malayalam speaking | 0.14 | 356 | 13_1_N_80_15_E |
| 32 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | China Zhejiang Han | 0.11 | 1,734 | 27_2_N_118_1_E |
| 33 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*02:01:02 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.11 | 5,266 | 22_25_N_114_17_E |
| 34 | A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 0.10 | 1,510 | 56_19_N_43_59_E |
| 35 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01 | Saudi Arabia pop 6 (G) | 0.10 | 28,927 | 23_52_N_45_4_E |
| 36 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.09 | 5,266 | 22_25_N_114_17_E |
| 37 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.09 | 23,595 | 52_0_N_19_22_E |
| 38 | A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | China Zhejiang Han | 0.08 | 1,734 | 27_2_N_118_1_E |
| 39 | A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | China Zhejiang Han | 0.07 | 1,734 | 27_2_N_118_1_E |
| 40 | A*03:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 0.07 | 1,510 | 56_19_N_43_59_E |
| 41 | A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | China Zhejiang Han | 0.06 | 1,734 | 27_2_N_118_1_E |
| 42 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:02:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.03 | 5,266 | 22_25_N_114_17_E |
| 43 | A*11:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 44 | A*24:02:01:01-B*37:01:01-C*08:02:01:02-DRB1*10:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 45 | A*68:02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 0.03 | 1,510 | 56_19_N_43_59_E |
| 46 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.03 | 5,266 | 22_25_N_114_17_E |
| 47 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | China Zhejiang Han | 0.03 | 1,734 | 27_2_N_118_1_E |
| 48 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.02 | 23,595 | 52_0_N_19_22_E |
| 49 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*10:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.02 | 5,266 | 22_25_N_114_17_E |
| 50 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*45:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.02 | 5,266 | 22_25_N_114_17_E |
| 51 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.02 | 5,266 | 22_25_N_114_17_E |
| 52 | A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 53 | A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.01 | 5,266 | 22_25_N_114_17_E |
| 54 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 55 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 56 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.01 | 5,266 | 22_25_N_114_17_E |
| 57 | A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.01 | 5,266 | 22_25_N_114_17_E |
| 58 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 59 | A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*45:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.01 | 5,266 | 22_25_N_114_17_E |
| 60 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*13:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.01 | 5,266 | 22_25_N_114_17_E |
| 61 | A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.01 | 5,266 | 22_25_N_114_17_E |
| 62 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:02:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 63 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*19:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.01 | 5,266 | 22_25_N_114_17_E |
| 64 | A*03:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.01 | 23,595 | 52_0_N_19_22_E |
| 65 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 66 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*02:02:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 67 | A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 68 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 69 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 70 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*02:02:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 71 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:03:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 72 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:04:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 73 | A*01:01:01-B*37:01:01-C*06:70:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 74 | A*02:01:01-B*37:01:01-C*03:04:01-DRB1*10:01:01-DQB1*02:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 75 | A*24:02:01-B*37:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 76 | A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 77 | A*68:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 78 | A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*02:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 79 | A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*06:02:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 80 | A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*06:03:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 81 | A*32:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 82 | A*25:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02 | Poland BMR | 0.00 | 23,595 | 52_0_N_19_22_E |
| 83 | A*25:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-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