Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 194) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 4.6670150
 2  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 2.4190124
 3  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 4  A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 5  B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 1.0490143
 6  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Poland 1.0000200
 7  A*33:18-B*44:45-C*04:01-DRB1*07:01-DQB1*02:02  Colombia North Wiwa El Encanto 0.961552
 8  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 9  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 10  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.937323,595
 11  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.85504,335
 12  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.82201,510
 13  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.7812192
 14  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.7810496
 15  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.72601,999
 16  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 17  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.63101,159
 18  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6230405
 19  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.58701,242,890
 20  A*30:04-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.4792336
 21  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.46881,463
 22  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.4646146,714
 23  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.430735,791
 24  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.426070,890
 25  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 26  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 27  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 0.4030124
 28  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.39835,926
 29  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 30  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.38901,075
 31  A*33:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.3690271
 32  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.35911,376
 33  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 34  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 35  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 36  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.3487261,235
 37  A*01-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 38  A*02-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 39  A*32-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 40  A*68-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 41  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 42  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.3205115,374
 43  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 44  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 45  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 46  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.285823,595
 47  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.28233,456,066
 48  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.28101,999
 49  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 50  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.27704,856
 51  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.26445,849
 52  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.25691,075
 53  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.25174,204
 54  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.243114,339
 55  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.23953,456,066
 56  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.235611,499
 57  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.22302,411
 58  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.2101714
 59  A*03:01-B*44:03-C*04:01-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 60  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.195811,499
 61  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.190433,328
 62  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 63  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.17594,889
 64  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*14:01  Russia Karelia 0.16941,075
 65  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.1638416,581
 66  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.162828,557
 67  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.16062,492
 68  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.15604,889
 69  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.150914,339
 70  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.14201,159
 71  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.14194,204
 72  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.14161,463
 73  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 74  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 75  A*03:01-B*44:02-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 76  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 77  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.13594,889
 78  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 79  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 80  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.11951,510
 81  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.11671,075
 82  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 83  A*33:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10251,463
 84  A*30:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.10202,411
 85  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.100211,446
 86  A*03:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.097523,595
 87  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.096123,595
 88  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 89  A*01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.089823,595
 90  A*02:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.08702,411
 91  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 92  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.08383,456,066
 93  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0836185,391
 94  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08104,204
 95  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.08002,411
 96  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQA1*01:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 97  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 98  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 99  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 100  A*66:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335

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 194) records   Pages: 1 2 of 2  


   

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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