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HLA » Haplotype Frequency Search
| Displaying all results from your selection. |  |
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| Line | Haplotype | Population | Frequency (%) | Sample Size | Location |
|---|---|---|---|---|---|
| 1 | A*24:02-B*35:01-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*04:02 | Mexico Chichen Itza Maya (prehispanic) | 1.06 | 47 | 20_40_N_88_34_W |
| 2 | A*31:01-B*35:01-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*04:02 | Mexico Chichen Itza Maya (prehispanic) | 1.06 | 47 | 20_40_N_88_34_W |
| 3 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:10:01-DQB1*04:02:01 | India Kerala Malayalam speaking | 0.42 | 356 | 13_1_N_80_15_E |
| 4 | A*26:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01 | Japan pop 17 | 0.33 | 3,078 | 37_36_N_138_2_E |
| 5 | A*31:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | Malaysia Peninsular Indian | 0.18 | 271 | 3_9_N_101_57_E |
| 6 | A*33:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | Malaysia Peninsular Indian | 0.18 | 271 | 3_9_N_101_57_E |
| 7 | A*31:01-B*35:01-DRB1*04:10-DQB1*04:02 | Mexico Mexico City Tlalpan | 0.15 | 330 | 19_25_N_99_8_W |
| 8 | A*02:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*03:01 | Japan pop 17 | 0.07 | 3,078 | 37_36_N_138_2_E |
| 9 | A*11:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01 | Japan pop 17 | 0.07 | 3,078 | 37_36_N_138_2_E |
| 10 | A*26:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01 | Japan pop 17 | 0.07 | 3,078 | 37_36_N_138_2_E |
| 11 | A*02:64-B*35:01-C*04:01-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPA1*02:01-DPB1*13:01 | United Arab Emirates Pop 1 | 0.05 | 570 | 24_42_N_54_82_E |
| 12 | A*33:03-B*35:01-C*03:03-DRB1*04:10-DQB1*04:02 | USA Asian pop 2 | 0.04 | 1,772 | 44_58_N_93_15_W |
| 13 | A*02:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 14 | A*02:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 15 | A*02:01-B*35:01-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 16 | A*02:06-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 17 | A*24:02-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 18 | A*24:02-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 19 | A*24:20-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 20 | A*26:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:02 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 21 | A*26:01-B*35:01-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 22 | A*26:02-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 23 | A*26:03-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 24 | A*31:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 25 | A*31:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01 | Japan pop 17 | 0.03 | 3,078 | 37_36_N_138_2_E |
| 26 | A*11:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | India Tamil Nadu | 0.03 | 2,492 | 11_32_N_78_52_E |
| 27 | A*24:02-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | India South UCBB | 0.03 | 11,446 | 13_6_N_80_8_E |
| 28 | A*02:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | India Tamil Nadu | 0.02 | 2,492 | 11_32_N_78_52_E |
| 29 | A*02:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | USA Asian pop 2 | 0.01 | 1,772 | 44_58_N_93_15_W |
| 30 | A*31:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | USA Asian pop 2 | 0.01 | 1,772 | 44_58_N_93_15_W |
| 31 | A*30:04-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | Germany DKMS - Turkey minority | 0.01 | 4,856 | 48_31_N_9_3_E |
| 32 | A*11:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | India South UCBB | 0.01 | 11,446 | 13_6_N_80_8_E |
| 33 | A*02:09-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 34 | A*26:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02 | India South UCBB | 0.00 | 11,446 | 13_6_N_80_8_E |
| 35 | A*26:01-B*35:01-C*03:03-DRB1*04:10-DQB1*04:02 | Belgium | 0.00 | 31,412 | 51_2_N_4_28_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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