Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 54 (from 54) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*01:01:01-B*35:01:01-DRB1*07:01:01  Portugal Center 1.500050
 3  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*31:01:02-B*35:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 5  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Vietnam Kinh 0.9900101
 6  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 7  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 8  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 9  A*02:01:01:01-B*35:01:01:02-C*08:03:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 10  A*03:01:01-B*35:01:01-C*02:02:02-DRB1*07:01:01-DQA1*02:01:01-DQB1*05:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 11  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQA1*01:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 12  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*33:03:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 15  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 16  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 17  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 18  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 19  A*02:01:01-B*35:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*39:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*30:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:02  India Kerala Malayalam speaking 0.1400356
 22  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 23  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.10481,510
 24  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06721,510
 25  A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06261,510
 26  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.033323,595
 27  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:30  Russia Nizhny Novgorod, Russians 0.03311,510
 28  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*68:01:01:02-B*35:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.029623,595
 31  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 32  A*02:06:01-B*35:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 33  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.023423,595
 34  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.021623,595
 35  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014923,595
 36  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 37  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 38  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.008323,595
 39  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.007323,595
 40  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 41  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 42  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.003423,595
 43  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.003123,595
 44  A*02:01:01-B*35:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 45  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002323,595
 46  A*26:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 47  A*68:01:02-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002223,595
 48  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 49  A*02:01:01-B*35:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 50  A*24:02:01-B*35:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 51  A*26:01:40-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 52  A*02:01:01-B*35:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 53  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 54  A*24:02:01-B*35:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000879223,595

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).




   

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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