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HLA » Haplotype Frequency Search
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*03:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*01:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 0.07 | 1,510 | 56_19_N_43_59_E |
| 2 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | Russia Bashkortostan, Tatars | 4.05 | 192 | 54_13_N_56_9_E |
| 3 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | Russia Nizhny Novgorod, Russians | 2.58 | 1,510 | 56_19_N_43_59_E |
| 4 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01 | Russia Bashkortostan, Bashkirs | 0.29 | 120 | 54_0_N_55_0_E |
| 5 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01 | Russian Federation Vologda Region | 0.84 | 119 | 59_13_N_39_54_E |
| 6 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | Russian Federation Vologda Region | 2.52 | 119 | 59_13_N_39_54_E |
| 7 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | China Zhejiang Han | 0.06 | 1,734 | 27_2_N_118_1_E |
| 8 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | India Andhra Pradesh Telugu Speaking | 0.27 | 186 | 13_4_N_80_14_E |
| 9 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | Poland BMR | 0.67 | 23,595 | 52_0_N_19_22_E |
| 10 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | Brazil Rio de Janeiro Parda | 1.18 | 170 | 22_54_S_43_12_W |
| 11 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Barra Mansa Rio State Caucasian | 0.63 | 405 | 22_32_S_44_10_W |
| 12 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | Brazil Rio de Janeiro Black | 2.94 | 68 | 22_54_S_43_12_W |
| 13 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 14 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01 | Costa Rica Central Valley Mestizo (G) | 1.63 | 221 | 9_55_N_84_5_W |
| 15 | A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01 | England North West | 0.50 | 298 | 53_0_N_3_0_W |
| 16 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*26:01 | United Arab Emirates Pop 1 | 0.05 | 570 | 24_42_N_54_82_E |
| 17 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | Colombia Bogotá Cord Blood | 0.61 | 1,463 | 4_39_N_73_52_W |
| 18 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | Germany DKMS - Turkey minority | 0.53 | 4,856 | 48_31_N_9_3_E |
| 19 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | Germany DKMS - Italy minority | 0.97 | 1,159 | 48_31_N_9_3_E |
| 20 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | India West UCBB | 0.51 | 5,829 | 19_11_N_73_3_E |
| 21 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | India South UCBB | 0.08 | 11,446 | 13_6_N_80_8_E |
| 22 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | India East UCBB | 0.39 | 2,403 | 22_25_N_88_18_E |
| 23 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | India North UCBB | 0.21 | 5,849 | 28_36_N_77_11_E |
| 24 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | India Central UCBB | 0.31 | 4,204 | 27_1_N_81_19_E |
| 25 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | Italy pop 5 | 0.88 | 975 | 45_28_N_9_11_E |
| 26 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.51 | 4,335 | 41_22_N_2_11_E |
| 27 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | USA NMDP Caribean Indian | 0.26 | 14,339 | 38_45_N_76_6_W |
| 28 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | USA NMDP Black South or Central American | 0.24 | 4,889 | 38_45_N_76_6_W |
| 29 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | USA African American pop 4 | 0.17 | 2,411 | 44_58_N_93_15_W |
| 30 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | USA Asian pop 2 | 0.18 | 1,772 | 44_58_N_93_15_W |
| 31 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | USA NMDP Alaska Native or Aleut | 0.69 | 1,376 | 38_45_N_76_6_W |
| 32 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | USA NMDP Hawaiian or other Pacific Islander | 0.24 | 11,499 | 38_45_N_76_6_W |
| 33 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | USA NMDP American Indian South or Central America | 0.98 | 5,926 | 38_45_N_76_6_W |
| 34 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01 | USA Hispanic pop 2 | 0.32 | 1,999 | 44_58_N_93_15_W |
| 35 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*01:01 | Germany DKMS - German donors | 0.03 | 3,456,066 | 48_31_N_9_3_E |
| 36 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01 | Germany DKMS - German donors | 0.09 | 3,456,066 | 48_31_N_9_3_E |
| 37 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01 | Russia Karelia | 1.15 | 1,075 | 63_9_N_32_59_E |
| 38 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | Germany DKMS - German donors | 0.09 | 3,456,066 | 48_31_N_9_3_E |
| 39 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | Russia Karelia | 0.13 | 1,075 | 63_9_N_32_59_E |
| 40 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01 | Germany DKMS - German donors | 0.54 | 3,456,066 | 48_31_N_9_3_E |
| 41 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01 | Russia Karelia | 1.12 | 1,075 | 63_9_N_32_59_E |
| 42 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02 | Germany DKMS - German donors | 0.64 | 3,456,066 | 48_31_N_9_3_E |
| 43 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02 | Russia Karelia | 1.88 | 1,075 | 63_9_N_32_59_E |
| 44 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*05:01 | Germany DKMS - German donors | 0.02 | 3,456,066 | 48_31_N_9_3_E |
| 45 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*06:01 | Germany DKMS - German donors | 0.02 | 3,456,066 | 48_31_N_9_3_E |
| 46 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*09:01 | Germany DKMS - German donors | 0.02 | 3,456,066 | 48_31_N_9_3_E |
| 47 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*14:01 | Germany DKMS - German donors | 0.01 | 3,456,066 | 48_31_N_9_3_E |
| 48 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Vietnamese | 0.01 | 43,540 | 38_45_N_76_6_W |
| 49 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Caribean Hispanic | 0.33 | 115,374 | 38_45_N_76_6_W |
| 50 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Japanese | 0.04 | 24,582 | 38_45_N_76_6_W |
| 51 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Korean | 0.05 | 77,584 | 38_45_N_76_6_W |
| 52 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP African American pop 2 | 0.24 | 416,581 | 38_45_N_76_6_W |
| 53 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Filipino | 0.06 | 50,614 | 38_45_N_76_6_W |
| 54 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP North American Amerindian | 0.82 | 35,791 | 38_45_N_76_6_W |
| 55 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Mexican or Chicano | 0.42 | 261,235 | 38_45_N_76_6_W |
| 56 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Southeast Asian | 0.29 | 27,978 | 38_45_N_76_6_W |
| 57 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP European Caucasian | 1.12 | 1,242,890 | 38_45_N_76_6_W |
| 58 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Caribean Black | 0.20 | 33,328 | 38_45_N_76_6_W |
| 59 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Middle Eastern or North Coast of Africa | 0.54 | 70,890 | 38_45_N_76_6_W |
| 60 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP South Asian Indian | 0.38 | 185,391 | 38_45_N_76_6_W |
| 61 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Hispanic South or Central American | 0.51 | 146,714 | 38_45_N_76_6_W |
| 62 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP Chinese | 0.04 | 99,672 | 38_45_N_76_6_W |
| 63 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01 | USA NMDP African | 0.11 | 28,557 | 38_45_N_76_6_W |
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