Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 112) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 3.974199,672
 2  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 3.37431,734
 3  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 3.132643,540
 4  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.8540101
 5  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 2.5440194
 6  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.0960101
 7  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.0000170
 8  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 1.8000170
 9  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 1.5464194
 10  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 1.54401,772
 11  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 1.225299,672
 12  A*02-B*46-DRB1*09-DQB1*03:03  Mexico Hidalgo, Pachuca 1.219541
 13  B*46:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.1000485
 14  A*29:02-B*46-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 15  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.866443,540
 16  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.81601,734
 17  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.783543,540
 18  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.759550,614
 19  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.711427,978
 20  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.63501,772
 21  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.5155194
 22  A*02:50-B*46:01-DRB1*09:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 23  A*11:04-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 24  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 25  A*26:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 26  A*33:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 27  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.463977,584
 28  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.443311,499
 29  A*02-B*46-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 30  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.37601,772
 31  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.34911,734
 32  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.340524,582
 33  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.323199,672
 34  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2910194
 35  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.270927,978
 36  A*02:01-B*46:01-C*03:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 37  A*02:07-B*46:01-C*01:16-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 38  A*11:01-B*46:01-C*01:11-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 39  A*24:02-B*46:14-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 40  A*30:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 41  A*02:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.22631,734
 42  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.220750,614
 43  A*02:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.2103951
 44  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.2103951
 45  A*02:07:01-B*46:01:01-C*01:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.20871,734
 46  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.20003,078
 47  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.172027,978
 48  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.1577951
 49  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.15401,772
 50  A*26:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.13861,734
 51  A*02:06:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.13431,734
 52  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 53  A*11:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 54  A*33:03-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.11501,772
 55  A*24:07-B*46:01-C*04:10-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.1052951
 56  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 57  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 58  A*02-B*46-DRB1*09-DQB1*03:03  Mexico Tlaxcala Rural 0.0602830
 59  A*30:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05961,734
 60  A*11:01-B*46:01-C*01:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.05401,772
 61  A*02:11-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 62  A*24:02-B*46:01-C*03:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 63  A*02:06-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04801,772
 64  A*01:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 65  A*02:01-B*46:01-C*15:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 66  A*02:07-B*46:01-C*01:05-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 67  A*33:03-B*46:01-C*04:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 68  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.042277,584
 69  A*02:07-B*46:01-C*01:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.03401,772
 70  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 71  A*02:01-B*46:01-C*01:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 72  A*02:06-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 73  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 74  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 75  A*02:07-B*46:01-C*01:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 76  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 77  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 78  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 79  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 80  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 81  A*01:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02961,734
 82  A*02:06:01-B*46:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 83  A*11:01:01-B*46:01:01-C*01:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 84  A*24:02:01-B*46:01:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 85  A*30:01:01-B*46:01:01-C*01:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 86  A*31:01:02-B*46:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 87  A*33:03:01-B*46:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 88  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.024250,614
 89  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0211185,391
 90  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.020524,582
 91  A*02:01-B*46:01-C*01:03-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 92  A*11:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 93  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0070185,391
 94  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0065185,391
 95  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.004624,582
 96  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Caribean Black 0.004533,328
 97  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 98  A*02:07:01-B*46:01:01-C*01:03-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 99  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.001877,584
 100  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Hispanic South or Central American 0.0017146,714

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 112) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional