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 87 (from 87) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 3.507211,499
 2  A*34-B*40:01-DRB1*09-DQB1*03:03  Mexico Jalisco, Tlajomulco 3.333330
 3  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 1.31081,734
 4  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.752699,672
 5  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.57681,734
 6  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.54461,734
 7  A*24:02-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.544111,499
 8  A*02:06-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.542611,499
 9  A*11:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.539411,499
 10  A*24:02-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.5155194
 11  A*02:01:01-B*40:01:02-C*04:03:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 12  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.47111,734
 13  A*24:02-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.39401,772
 14  A*24:02-B*40:01-C*04:01-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.365511,499
 15  A*11:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  India Northeast UCBB 0.3378296
 16  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.33741,734
 17  A*24:02:01:01-B*40:01:02-C*03:04:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 18  A*24:02-B*40:01-C*04:01-DRB1*09:01-DQA1*05:01-DQB1*03:03-DPB1*05:01  USA San Diego 0.2600496
 19  A*11:01-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.25901,772
 20  A*11:01-B*40:01-C*07:05-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 21  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.238650,614
 22  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 0.2300215
 23  A*34:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.178211,499
 24  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.164243,540
 25  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.147327,978
 26  A*24:02-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13801,772
 27  A*11:01-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.1052951
 28  A*24:02-B*40:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 29  A*02:01-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.07201,772
 30  A*02:01-B*40:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 31  A*24:02-B*40:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 32  A*26:01-B*40:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 33  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 34  A*32:01:01-B*40:01:02-C*03:04:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 35  A*26:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.06391,734
 36  A*02-B*40:01-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.0607824
 37  A*23-B*40:01-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.0607824
 38  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05951,734
 39  A*24:02-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03-DPB1*05:01  Russia Karelia 0.05771,075
 40  A*26:01:01-B*40:01:02-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05771,734
 41  A*11:02:01-B*40:01:02-C*12:02:02-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05761,734
 42  A*33:03-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03-DPB1*03:01  Russia Karelia 0.05651,075
 43  A*11:01-B*40:01-C*07:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 44  A*11:13-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 45  A*02:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 46  A*02:03-B*40:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 47  A*11:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 48  A*11:01-B*40:01-C*12:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 49  A*26:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 50  A*26:01-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 51  A*31:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 52  A*02:06:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.04331,734
 53  A*02-B*40:01-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.04261,173
 54  A*23-B*40:01-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.04261,173
 55  A*31:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 56  A*02:01:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 57  A*02:01:01:01-B*40:01:02-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 58  A*02:01-B*40:01-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 59  A*02:06-B*40:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 60  A*02:06-B*40:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 61  A*02:06-B*40:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 62  A*26:01-B*40:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 63  A*26:01-B*40:01-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 64  A*31:01-B*40:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 65  A*31:01-B*40:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 66  A*02:01:01-B*40:01:02-C*15:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 67  A*11:01:01-B*40:01:02-C*15:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 68  A*24:02:01-B*40:01:02-C*04:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 69  A*11:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.02104,856
 70  A*02:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03-DPB1*04:01  Germany DKMS - German donors 0.01923,456,066
 71  A*32:01-B*40:01-C*12:03-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 72  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.010977,584
 73  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.009824,582
 74  A*01:01-B*40:01-C*12:03-DRB1*09:01-DQB1*03:03  India West UCBB 0.00865,829
 75  A*11:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  India West UCBB 0.00865,829
 76  A*11:01-B*40:01-C*12:03-DRB1*09:01-DQB1*03:03  India West UCBB 0.00865,829
 77  A*32:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  India North UCBB 0.00855,849
 78  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.007123,595
 79  A*11:01-B*40:01-C*12:03-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 80  A*24:02-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 81  A*02:07:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.004223,595
 82  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 83  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 84  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0016185,391
 85  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.000935723,595
 86  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Mexican or Chicano 0.0000960261,235
 87  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP European Caucasian 0.00002781,242,890

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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