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 107) 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  B*46:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.1000485
 13  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.866443,540
 14  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
 15  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.783543,540
 16  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.759550,614
 17  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
 18  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.63501,772
 19  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.5155194
 20  A*02:50-B*46:01-DRB1*09:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 21  A*11:04-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 22  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 23  A*26:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 24  A*33:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 25  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.463977,584
 26  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
 27  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.37601,772
 28  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
 29  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.340524,582
 30  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.323199,672
 31  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2910194
 32  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
 33  A*02:01-B*46:01-C*03:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 34  A*02:07-B*46:01-C*01:16-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 35  A*11:01-B*46:01-C*01:11-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 36  A*30:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 37  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
 38  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.220750,614
 39  A*02:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.2103951
 40  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.2103951
 41  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
 42  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
 43  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
 44  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.1577951
 45  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.15401,772
 46  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
 47  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
 48  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
 49  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
 50  A*33:03-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.11501,772
 51  A*24:07-B*46:01-C*04:10-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.1052951
 52  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
 53  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
 54  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
 55  A*11:01-B*46:01-C*01:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.05401,772
 56  A*02:11-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 57  A*24:02-B*46:01-C*03:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 58  A*02:06-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04801,772
 59  A*01:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 60  A*02:01-B*46:01-C*15:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 61  A*02:07-B*46:01-C*01:05-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 62  A*33:03-B*46:01-C*04:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 63  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.042277,584
 64  A*02:07-B*46:01-C*01:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.03401,772
 65  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
 66  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
 67  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
 68  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
 69  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
 70  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
 71  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
 72  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
 73  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
 74  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
 75  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
 76  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
 77  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
 78  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
 79  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
 80  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
 81  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
 82  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
 83  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.024250,614
 84  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
 85  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.020524,582
 86  A*02:01-B*46:01-C*01:03-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 87  A*11:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 88  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
 89  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
 90  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.004624,582
 91  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
 92  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
 93  A*02:07:01-B*46:01:01-C*01:03-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 94  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.001877,584
 95  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
 96  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Hispanic South or Central American 0.0010146,714
 97  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Mexican or Chicano 0.0007230261,235
 98  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Mexican or Chicano 0.0006970261,235
 99  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Hispanic South or Central American 0.0003380146,714
 100  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP European Caucasian 0.00031681,242,890

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).


Displaying 1 to 100 (from 107) 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.
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