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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Colima, Colima city | 1.64 | 61 | 19_14_N_103_43_W |
| 2 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Jalisco, Tonala | 1.43 | 35 | 20_37_N_103_14_W |
| 3 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Oaxaca, Oaxaca city | 1.32 | 151 | 17_4_N_96_43_W |
| 4 | A*68-B*15:05-DRB1*04-DQB1*03:02 | Mexico Chiapas, Tuxtla Gutierrez | 0.94 | 52 | 16_45_N_93_6_W |
| 5 | A*31-B*15:05-DRB1*04-DQB1*03:02 | Mexico Veracruz, Cordoba | 0.89 | 56 | 18_53_N_96_55_W |
| 6 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Tlaxcala, Tlaxcala city | 0.83 | 181 | 19_18_N_98_14_W |
| 7 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Coahuila, Saltillo | 0.68 | 72 | 25_26_N_100_58_W |
| 8 | A*31-B*15:05-DRB1*04-DQB1*03:02 | Mexico Jalisco, Zapopan | 0.60 | 168 | 20_40_N_103_24_W |
| 9 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Aguascalientes state | 0.53 | 95 | 22_1_N_102_21_W |
| 10 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Sinaloa, Culiacán | 0.49 | 103 | 24_48_N_107_23_W |
| 11 | A*01-B*15:05-DRB1*04-DQB1*03:02 | Mexico Coahuila Rural | 0.46 | 216 | 26_59_N_102_3_W |
| 12 | A*23-B*15:05-DRB1*04-DQB1*03:02 | Mexico Nuevo Leon, Monterrey city | 0.44 | 226 | 25_41_N_100_18_W |
| 13 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Ecuador Coast Mixed Ancestry | 0.42 | 238 | 2_11_S_79_53_W |
| 14 | A*31-B*15:05-DRB1*04-DQB1*03:02 | Mexico Tabasco Rural | 0.35 | 142 | 18_23_N_93_12_W |
| 15 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Guerrero state | 0.35 | 144 | 17_36_N_99_57_W |
| 16 | A*25-B*15:05-DRB1*04-DQB1*03:02 | Mexico Nuevo Leon Rural | 0.34 | 439 | 25_37_N_100_14_W |
| 17 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Mexico City Metropolitan Area Rural | 0.33 | 150 | 19_7_N_98_45_W |
| 18 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Mexico City Metropolitan Area Rural | 0.33 | 150 | 19_7_N_98_45_W |
| 19 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Mexico City Center | 0.32 | 152 | 19_25_N_99_7_W |
| 20 | A*23:01-B*15:05-C*03:03-DRB1*04:01-DQA1*01:04-DQB1*03:02-DPB1*04:01 | South Africa Worcester | 0.30 | 159 | 33_39_S_19_27_E |
| 21 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Puebla Rural | 0.30 | 833 | 19_57_N_97_38_W |
| 22 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Veracruz, Veracruz city | 0.29 | 171 | 19_10_N_96_8_W |
| 23 | A*11:01:01-B*15:05:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01 | India Andhra Pradesh Telugu Speaking | 0.27 | 186 | 13_4_N_80_14_E |
| 24 | A*02:01-B*15:05-C*04:01-DRB1*04:06-DQB1*03:02 | Malaysia Peninsular Chinese | 0.26 | 194 | 3_9_N_101_57_E |
| 25 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Jalisco, Guadalajara city | 0.25 | 1,189 | 20_39_N_103_20_W |
| 26 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Coahuila, Torreon | 0.25 | 396 | 25_32_N_103_24_W |
| 27 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Coahuila Rural | 0.23 | 216 | 26_59_N_102_3_W |
| 28 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Zacatecas Rural | 0.19 | 266 | 22_46_N_102_7_W |
| 29 | A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | Malaysia Peninsular Indian | 0.18 | 271 | 3_9_N_101_57_E |
| 30 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Tlaxcala Rural | 0.18 | 830 | 19_14_N_98_20_W |
| 31 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Durango Rural | 0.15 | 326 | 26_41_N_103_44_W |
| 32 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Durango Rural | 0.15 | 326 | 26_41_N_103_44_W |
| 33 | A*02:01-B*15:05-DRB1*04:04-DQB1*03:02 | Mexico Mexico City Tlalpan | 0.15 | 330 | 19_25_N_99_8_W |
| 34 | A*36-B*15:05-DRB1*04:02-DQB1*03:02 | Mexico Mexico City Tlalpan | 0.15 | 330 | 19_25_N_99_8_W |
| 35 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Mexico City North | 0.13 | 751 | 19_29_N_99_7_W |
| 36 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Ecuador Andes Mixed Ancestry | 0.12 | 824 | 1_28_S_78_49_W |
| 37 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Tlaxcala Rural | 0.12 | 830 | 19_14_N_98_20_W |
| 38 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Nuevo Leon Rural | 0.11 | 439 | 25_37_N_100_14_W |
| 39 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Ecuador Mixed Ancestry | 0.09 | 1,173 | 0_10_S_78_28_W |
| 40 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Ecuador Mixed Ancestry | 0.09 | 1,173 | 0_10_S_78_28_W |
| 41 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Jalisco Rural | 0.09 | 585 | 20_52_N_103_50_W |
| 42 | A*68-B*15:05-DRB1*04-DQB1*03:02 | Mexico Jalisco Rural | 0.09 | 585 | 20_52_N_103_50_W |
| 43 | A*02-B*15:05-DRB1*04-DQB1*03:02 | Mexico Puebla, Puebla city | 0.08 | 1,994 | 19_2_N_98_12_W |
| 44 | A*02:01-B*15:05-C*07:04-DRB1*04:08-DQA1*03:01-DQB1*03:02-DPB1*04:01 | Sri Lanka Colombo | 0.07 | 714 | 6_56_N_79_50_E |
| 45 | A*02:01-B*15:05-C*01:02-DRB1*04:11-DQB1*03:02 | Colombia Bogotá Cord Blood | 0.07 | 1,463 | 4_39_N_73_52_W |
| 46 | A*31:15-B*15:05-C*01:02-DRB1*04:11-DQB1*03:02 | Colombia Bogotá Cord Blood | 0.07 | 1,463 | 4_39_N_73_52_W |
| 47 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Puebla Rural | 0.06 | 833 | 19_57_N_97_38_W |
| 48 | A*31-B*15:05-DRB1*04-DQB1*03:02 | Mexico Puebla, Puebla city | 0.05 | 1,994 | 19_2_N_98_12_W |
| 49 | A*68-B*15:05-DRB1*04-DQB1*03:02 | Mexico Puebla, Puebla city | 0.05 | 1,994 | 19_2_N_98_12_W |
| 50 | A*11:01-B*15:05-C*03:03-DRB1*04:06-DQB1*03:02 | USA Asian pop 2 | 0.04 | 1,772 | 44_58_N_93_15_W |
| 51 | A*31-B*15:05-DRB1*04-DQB1*03:02 | Mexico Jalisco, Guadalajara city | 0.04 | 1,189 | 20_39_N_103_20_W |
| 52 | A*02:22-B*15:05-C*01:02-DRB1*04:07-DQB1*03:02 | Colombia Bogotá Cord Blood | 0.03 | 1,463 | 4_39_N_73_52_W |
| 53 | A*02:01:01-B*15:05:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01 | China Zhejiang Han | 0.03 | 1,734 | 27_2_N_118_1_E |
| 54 | A*24-B*15:05-DRB1*04-DQB1*03:02 | Mexico Puebla, Puebla city | 0.03 | 1,994 | 19_2_N_98_12_W |
| 55 | A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India Tamil Nadu | 0.02 | 2,492 | 11_32_N_78_52_E |
| 56 | A*33:03-B*15:05-C*04:03-DRB1*04:01-DQB1*03:02 | India East UCBB | 0.02 | 2,403 | 22_25_N_88_18_E |
| 57 | A*01:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 58 | A*03:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 59 | A*24:02-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India Central UCBB | 0.01 | 4,204 | 27_1_N_81_19_E |
| 60 | A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India West UCBB | 0.01 | 5,829 | 19_11_N_73_3_E |
| 61 | A*11:01-B*15:05-C*15:02-DRB1*04:03-DQB1*03:02 | India South UCBB | 0.01 | 11,446 | 13_6_N_80_8_E |
| 62 | A*01:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India West UCBB | 0.01 | 5,829 | 19_11_N_73_3_E |
| 63 | A*02:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 64 | A*01:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 65 | A*02:01-B*15:05-C*03:03-DRB1*04:01-DQB1*03:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 66 | A*02:11-B*15:05-C*15:02-DRB1*04:03-DQB1*03:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 67 | A*11:03-B*15:05-C*03:03-DRB1*04:04-DQB1*03:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 68 | A*24:02-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 69 | A*68:01-B*15:05-C*15:02-DRB1*04:03-DQB1*03:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_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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