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 94 (from 94) 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  India UCBB_Central Indian HLA 0.98054,204
 3  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.7400975
 4  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
 5  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
 6  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
 7  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Indian 0.5535271
 8  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Vietnam Kinh 0.4950101
 9  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
 10  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
 11  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.38692,492
 12  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
 13  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo population 0.3497143
 14  B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo population 0.3497143
 15  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 0.3333150
 16  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.31101,772
 17  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.307714,339
 18  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
 19  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.30401,159
 20  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.28304,856
 21  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
 22  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
 23  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
 24  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.19604,856
 25  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
 26  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Malay 0.1577951
 27  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.155314,339
 28  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 29  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 30  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
 31  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.14004,856
 32  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
 33  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
 34  A*33:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 35  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 36  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
 37  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.11011,075
 38  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
 39  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.09761,463
 40  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
 41  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 42  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.09394,204
 43  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
 44  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
 45  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 46  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.07904,856
 47  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 48  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 49  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 50  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
 51  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
 52  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.05131,463
 53  A*31:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05104,856
 54  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 55  A*24:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 56  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 57  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.04604,856
 58  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 59  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.04344,204
 60  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
 61  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03911,463
 62  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African 0.036128,557
 63  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.03492,492
 64  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  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
 66  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
 67  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.03104,856
 68  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 0.028577,584
 69  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
 70  A*26:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.02464,204
 71  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
 72  A*02:11-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.02422,492
 73  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
 74  A*11:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 75  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Chinese 0.018699,672
 76  A*02:11-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.01854,204
 77  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
 78  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
 79  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.01434,204
 80  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
 81  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.01224,204
 82  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
 83  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
 84  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
 85  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
 86  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
 87  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 0.006124,582
 88  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
 89  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
 90  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Filipino 0.005150,614
 91  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
 92  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
 93  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Vietnamese 0.002543,540
 94  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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