Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 87 (from 87) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 1.920052
 2  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.7400975
 3  A*02:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.6787221
 4  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.5786185,391
 5  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.5620356
 6  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Indian 0.5535271
 7  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Vietnam Kinh 0.4950101
 8  A*24:02-B*15:17-C*07:01-E*01:03:01-F*01:01:01-G*01:04-DRB1*13:02:01-DQA1*01:02-DQB1*06:04:01  Portugal Azores Terceira Island 0.4386130
 9  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Southeast Asian 0.434027,978
 10  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.38692,492
 11  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Middle Eastern or North Coast of Africa 0.359770,890
 12  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo population 0.3497143
 13  B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo population 0.3497143
 14  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 0.3333150
 15  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.31101,772
 16  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.307714,339
 17  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.305028,927
 18  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.30401,159
 19  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.28304,856
 20  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 21  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*05:01  USA San Diego 0.2600496
 22  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 23  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.19604,856
 24  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.177528,927
 25  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Malay 0.1577951
 26  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.155314,339
 27  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 28  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 29  A*23:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 30  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.14004,856
 31  A*31:01:02-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 32  A*33:03:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 33  A*33:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 34  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 35  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Hispanic South or Central American 0.1140146,714
 36  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.11011,075
 37  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.100828,927
 38  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.09761,463
 39  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Caribean Hispanic 0.0951115,374
 40  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 41  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092628,927
 42  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Mexican or Chicano 0.0911261,235
 43  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 44  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.07904,856
 45  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 46  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 47  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 48  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP European Caucasian 0.06011,242,890
 49  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.05771,734
 50  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.05131,463
 51  A*31:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05104,856
 52  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 53  A*24:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 54  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 55  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.04604,856
 56  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 57  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP North American Amerindian 0.041435,791
 58  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03911,463
 59  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African 0.036128,557
 60  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.03492,492
 61  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 62  A*68:01:02:01-B*15:17:01:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 63  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.031423,595
 64  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.03104,856
 65  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 0.028577,584
 66  A*03:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.024723,595
 67  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.02433,456,066
 68  A*02:11-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.02422,492
 69  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.02313,456,066
 70  A*11:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 71  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Chinese 0.018699,672
 72  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01753,456,066
 73  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.014823,595
 74  A*23:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.012923,595
 75  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.01183,456,066
 76  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01113,456,066
 77  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01083,456,066
 78  A*68:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.008523,595
 79  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Caribean Black 0.006933,328
 80  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 0.006124,582
 81  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African American pop 2 0.0061416,581
 82  A*32:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.006023,595
 83  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Filipino 0.005150,614
 84  A*25:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002723,595
 85  A*31:01:02-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002623,595
 86  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Vietnamese 0.002543,540
 87  A*11:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002423,595

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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