Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,701) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*37:01:01-C*06:02:01  South African Indian population 4.000050
 2  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 3.6238192
 3  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 4  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 5  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 3.11091,734
 6  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 3.1035186
 7  A*01:01:01-B*57:01:01-C*06:02:01  South African Mixed ancestry 3.000050
 8  A*01:01:01-B*57:01:01-C*06:02:01  South African Indian population 3.000050
 9  A*03:01:01-B*07:02:01-C*06:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 10  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 11  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*04:04:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 12  A*23:01:01-B*41:01:01-C*06:02:01-DRB1*12:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Black 2.381073
 13  A*24:02:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 14  A*66:01:01-B*58:02:01-C*06:02:01-DRB1*08:07-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 15  A*01:01:01-B*57:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 2.2987519
 16  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 2.0680356
 17  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 2.0110174
 18  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 1.775923,595
 19  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.6340153
 20  A*30:04:01-B*45:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 1.5837221
 21  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.57491,510
 22  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 23  A*02:01:01-B*53:01:01-C*06:02:01-DRB1*13:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 24  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 25  A*74:01:01-B*15:03:01-C*06:02:01-DRB1*16:02:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 26  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 1.4370174
 27  A*01:01:01-B*37:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 1.2905519
 28  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Costa Rica Amerindians (G) 1.2647125
 29  A*30:04:01-B*45:01-C*06:02:01-DRB1*11:02:01  Costa Rica Amerindians (G) 1.2097125
 30  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 31  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 1.1600215
 32  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 1.1490174
 33  A*02:01:01-B*57:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 1.1377519
 34  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 35  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1181186
 36  A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 1.0944186
 37  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 38  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.05641,510
 39  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 1.0560142
 40  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 41  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 42  A*01:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0310105
 43  A*01:01:01-B*50:01:01-C*06:02:01  South African Indian population 1.000050
 44  A*02:01:01-B*15:16:01-C*06:02:01  South African Mixed ancestry 1.000050
 45  A*02:06:01-B*57:01:01-C*06:02:01  South African Indian population 1.000050
 46  A*02:11:01-B*57:01:01-C*06:02:01  South African Indian population 1.000050
 47  A*03:01:01-B*44:02:01-C*06:02:01  South African Indian population 1.000050
 48  A*03:01:01-B*49:01:01-C*06:02:01  South African Mixed ancestry 1.000050
 49  A*23:01:01-B*45:01-C*06:02:01  South African Mixed ancestry 1.000050
 50  A*23:01:01-B*58:02-C*06:02:01  South African Indian population 1.000050
 51  A*24:02:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 52  A*24:07-B*13:01:01-C*06:02:01  South African Indian population 1.000050
 53  A*26:01:01-B*35:03:01-C*06:02:01  South African Mixed ancestry 1.000050
 54  A*29:02:01-B*45:01-C*06:02:01  South African Mixed ancestry 1.000050
 55  A*30:04:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 56  A*31:01:02-B*40:06:01-C*06:02:01  South African Indian population 1.000050
 57  A*34:01:01-B*57:01:01-C*06:02:01  South African Mixed ancestry 1.000050
 58  A*66:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 59  A*01:01:01-B*37:01:01-C*06:02:01  China Jingpo Minority 0.9900105
 60  A*03:01:01-B*58:02-C*06:02:01-DRB1*03:01  Costa Rica African -Caribbean (G) 0.9804102
 61  A*03:01:01-B*58:02-C*06:02:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.9804102
 62  A*74:01-B*58:02-C*06:02:01-DRB1*12:01  Costa Rica African -Caribbean (G) 0.9804102
 63  B*37:01:01-C*06:02:01  China Jingpo Minority 0.9800105
 64  A*01:01:01-C*06:02:01  China Jingpo Minority 0.9710105
 65  A*30:01:01-B*13:02:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.9634519
 66  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.9490356
 67  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.9300215
 68  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 69  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.8620174
 70  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.859823,595
 71  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 72  A*02:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 73  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 74  A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 75  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.807228,927
 76  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 77  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.795623,595
 78  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.77855,266
 79  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.731523,595
 80  A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.70431,510
 81  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.7040142
 82  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.7040142
 83  A*43:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.7040142
 84  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.7040142
 85  A*32:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 86  A*01:01:01-B*51:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 87  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.691023,595
 88  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.667628,927
 89  A*02:01:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 90  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Nicaragua Mestizo (G) 0.6452155
 91  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 92  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.599428,927
 93  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.5980186
 94  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.5960356
 95  A*01:01:01-B*14:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 96  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 97  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*16:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 98  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 99  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 100  A*11:01:01-B*07:02:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170

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).


Displaying 1 to 100 (from 1,701) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  


   

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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