Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 77 (from 77) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*10:01:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*01:01:01-B*27:14-C*12:03:01-DRB1*15:02:01-DQA1*01:03:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 3  A*02:01:01-B*44:27:01-C*06:02:01:01-DRB1*13:02:01-DQB1*03:04:01  Russia Bashkortostan, Bashkirs 0.4167120
 4  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*04:01:01-DQB1*03:04:01  Russia Bashkortostan, Bashkirs 0.4167120
 5  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*03:04:01-DPA1*02:02:02-DPB1*158:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 6  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:04:01  India Karnataka Kannada Speaking 0.2870174
 7  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.274223,595
 8  A*25:01:01-B*51:01:01-C*07:02:01:01-DRB1*04:03:01-DQB1*03:04:01  Russia Bashkortostan, Tatars 0.2604192
 9  A*32:01:01-B*18:01:01-C*07:02:01:01-DRB1*04:03:01-DQB1*03:04:01  Russia Bashkortostan, Tatars 0.2604192
 10  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 11  A*24:02:01-B*39:01:01-C*05:01:01-DRB1*12:10-DQB1*03:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*29:02:01-B*15:03:01-C*16:01:01-DRB1*04:03:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 13  A*11:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.16561,510
 14  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.034023,595
 15  A*02:01:01:01-B*13:02:01-C*07:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 16  A*02:01:01:01-B*27:05:02-C*04:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 17  A*02:01:01:01-B*39:05:01-C*12:03:01:01-DRB1*04:03:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 18  A*24:02:01:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 19  A*24:02:01:01-B*51:01:01:01-C*14:02:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 20  A*24:02:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 21  A*68:01:02:01-B*51:01:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 22  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:08:01-DQB1*03:04:01  China Zhejiang Han 0.02881,734
 23  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.021123,595
 24  A*01:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.016823,595
 25  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.015523,595
 26  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.007223,595
 27  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.006023,595
 28  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.005423,595
 29  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.004823,595
 30  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.004223,595
 31  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:04:01  Poland BMR 0.004223,595
 32  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.004223,595
 33  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*03:04:01  Poland BMR 0.004223,595
 34  A*31:01:02-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*03:04:01  Poland BMR 0.004223,595
 35  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.003423,595
 36  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002823,595
 37  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002623,595
 38  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002423,595
 39  A*01:01:01-B*38:01:01-C*12:03:06-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 40  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 41  A*11:01:01-B*40:02:01-C*02:02:02-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 42  A*01:01:01-B*35:03:01-C*12:02:08-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 43  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*03:01:01-DQB1*03:04:01  Poland BMR 0.002123,595
 44  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*13:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 45  A*01:01:01-B*57:01:01-C*12:03:01-DRB1*13:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 46  A*02:01:01-B*07:02:01-C*07:308-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 47  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:04:01  Poland BMR 0.002123,595
 48  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 49  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 50  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 51  A*03:01:01-B*44:02:01-C*16:04:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 52  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 53  A*23:01:01-B*35:03:01-C*04:01:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 54  A*24:02:01-B*35:29:01-C*04:01:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 55  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 56  A*24:02:01-B*39:01:24-C*12:03:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 57  A*24:02:01-B*44:02:01-C*16:04:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 58  A*24:02:01-B*44:05:01-C*02:02:02-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 59  A*24:02:01-B*51:01:01-C*02:02:02-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 60  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 61  A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*03:04:01  Poland BMR 0.002123,595
 62  A*26:01:01-B*51:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:04:01  Poland BMR 0.002123,595
 63  A*26:01:01-B*55:01:01-C*03:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 64  A*32:01:01-B*18:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 65  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 66  A*32:01:01-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*03:04:01  Poland BMR 0.002123,595
 67  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 68  A*33:03:01-B*44:02:01-C*05:01:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 69  A*33:03:01-B*51:01:01-C*03:02:02-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 70  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 71  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 72  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 73  A*23:01:01-B*38:01:01-C*12:03:06-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 74  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002023,595
 75  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.001923,595
 76  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.001723,595
 77  A*34:02:01-B*51:01:01-C*16:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.001423,595

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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