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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 | DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 7.77 | 496 | 45_27_N_120_56_E |
| 2 | DRB1*12:02:01-DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 2.92 | 496 | 45_27_N_120_56_E |
| 3 | DRB1*12:01:01-DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 2.52 | 496 | 45_27_N_120_56_E |
| 4 | DRB1*11:01:01-DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 0.94 | 496 | 45_27_N_120_56_E |
| 5 | A*25:01:01-B*44:02:01-C*12:03:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*05:01:01 | Russian Federation Vologda Region | 0.42 | 119 | 59_13_N_39_54_E |
| 6 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*05:01:01 | Russian Federation Vologda Region | 0.42 | 119 | 59_13_N_39_54_E |
| 7 | DRB1*14:03:01-DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 0.36 | 496 | 45_27_N_120_56_E |
| 8 | DRB1*08:03:02-DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 0.20 | 496 | 45_27_N_120_56_E |
| 9 | A*02:01:01-B*57:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*05:01:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 10 | A*11:01:01-B*15:02:01-C*08:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*05:01:01 | Brazil Rio de Janeiro Caucasian | 0.19 | 521 | 22_54_S_43_12_W |
| 11 | DRB1*13:03:01-DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 0.13 | 496 | 45_27_N_120_56_E |
| 12 | DRB1*04:14-DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 0.10 | 496 | 45_27_N_120_56_E |
| 13 | DRB1*15:01:01:01-DQB1*03:01-DPB1*05:01:01 | China Inner Mongolia Autonomous Region Northeast | 0.10 | 496 | 45_27_N_120_56_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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