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 147) records   Pages: 1 2 of 2  

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 Central UCBB 0.98054,204
 3  A*02:61-B*15:17-DRB1*13:02-DQB1*06:04  Iran Saqqez-Baneh Kurds 0.833360
 4  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.7400975
 5  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
 6  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.6757296
 7  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.63945,849
 8  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
 9  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
 10  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.55992,403
 11  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Indian 0.5535271
 12  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.52595,829
 13  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Vietnam Kinh 0.4950101
 14  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
 15  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
 16  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.417611,446
 17  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.38692,492
 18  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
 19  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo population 0.3497143
 20  B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo population 0.3497143
 21  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 0.3333150
 22  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.31101,772
 23  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.307714,339
 24  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
 25  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.30401,159
 26  A*11:01:01-B*15:17:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  India Karnataka Kannada Speaking 0.2870174
 27  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.28304,856
 28  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
 29  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
 30  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
 31  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.19604,856
 32  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
 33  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 34  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Malay 0.1577951
 35  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.155314,339
 36  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 37  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 38  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
 39  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.14004,856
 40  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
 41  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
 42  A*33:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 43  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 44  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
 45  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.11011,075
 46  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
 47  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.09761,463
 48  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
 49  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 50  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.09394,204
 51  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
 52  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
 53  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 54  A*11:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.08545,849
 55  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.07904,856
 56  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 57  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 58  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 59  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
 60  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
 61  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.05255,849
 62  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.05131,463
 63  A*31:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05104,856
 64  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 65  A*24:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 66  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 67  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.04604,856
 68  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.045711,446
 69  A*11:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.04572,403
 70  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 71  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.04344,204
 72  A*11:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.04195,829
 73  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
 74  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.03942,403
 75  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03911,463
 76  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03875,829
 77  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African 0.036128,557
 78  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.03492,492
 79  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 80  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
 81  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
 82  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.03104,856
 83  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 0.028577,584
 84  A*26:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.02565,849
 85  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
 86  A*26:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.02464,204
 87  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
 88  A*02:11-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.02422,492
 89  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
 90  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.022011,446
 91  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.02145,829
 92  A*11:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 93  A*30:01-B*15:17-C*06:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 94  A*02:09-B*15:17-C*04:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 95  A*24:07-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 96  A*24:33-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 97  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.02005,849
 98  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Chinese 0.018699,672
 99  A*02:11-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01854,204
 100  A*33:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.018411,446

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 147) 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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