Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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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 98 (from 98) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*56:01-DRB1*12:02:01  Taiwan Bunun 4.5000101
 2  A*24:02-B*56:01-DRB1*12:02  Malaysia Patani 4.000025
 3  A*24:02-B*56:02-DRB1*12:01  New Zealand Polynesians with Admixed History 1.852027
 4  A*24-B*56-C*04-DRB1*12  Myanmar Chin 1.818055
 5  A*02-B*56-DRB1*12-DQB1*03:01  Mexico Nayarit Rural 1.562564
 6  A*11-B*56-C*01-DRB1*12  Myanmar Rakhine 1.042048
 7  A*33:03:01-B*56:04-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 8  A*02-B*56-C*04-DRB1*12  Myanmar Chin 0.909055
 9  A*11-B*56-C*07-DRB1*12  Myanmar Chin 0.909055
 10  A*68-B*56-C*01-DRB1*12  Myanmar Chin 0.909055
 11  A*02-B*56-C*07-DRB1*12  Myanmar Kachin 0.794063
 12  A*11-B*56-C*07-DRB1*12  Myanmar Kachin 0.794063
 13  A*24-B*56-C*01-DRB1*12  Myanmar Mon 0.781064
 14  A*31:01-B*56:01-C*12:03-DRB1*12:01  Russia Bering Island Aleuts 0.4808104
 15  A*11-B*56-DRB1*12  Brazil South Ribeirao Preto 0.3000184
 16  A*31:01-B*56:01-C*01:02-DRB1*12:01-DQB1*03:01  England North West 0.2000298
 17  A*02:03-B*56:01-C*12:02-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.1689296
 18  A*11:01-B*56:03-C*01:02-DRB1*12:01  Japan pop 16 0.099018,604
 19  A*24:02-B*56:04-C*01:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.08032,492
 20  A*11:01-B*56:03-C*01:02-DRB1*12:01-DQA1*05:08-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 21  A*02-B*56-DRB1*12  Brazil Para Cord Blood Unit 0.0595841
 22  A*11:01:01-B*56:03-C*01:02:01-DRB1*12:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05915,266
 23  A*33:03-B*56:01-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 24  A*11:01-B*56:03-C*01:02-DRB1*12:01  Hong Kong Chinese BMDR 0.04777,595
 25  A*02:01-B*56:01-C*01:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 26  A*02:11-B*56:03-C*01:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 27  A*03:01-B*56:01-C*04:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04401,772
 28  A*11:01-B*56:01-C*01:02-DRB1*12:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 29  A*02:01-B*56:01-C*01:02-DRB1*12:01  Germany DKMS - Portugal minority 0.04301,176
 30  A*01:01-B*56:04-C*01:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.04012,492
 31  A*02:01-B*56:01-C*01:02-DRB1*12:01  Germany DKMS - France minority 0.03601,406
 32  A*26:08-B*56:01-C*01:02-DRB1*12:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 33  A*02:01-B*56:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.03383,892
 34  A*02:06-B*56:01-C*01:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 35  A*11:01-B*56:03-C*01:02-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 36  A*02:01:01-B*56:10-C*01:02:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 37  A*11:01:01-B*56:03-C*01:02:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 38  A*11:01-B*56:04-C*01:02-DRB1*12:02  Hong Kong Chinese BMDR 0.02507,595
 39  A*11:01-B*56:03-DRB1*12:01  Hong Kong Chinese cord blood registry 0.02493,892
 40  A*02:01-B*56:04-C*01:02-DRB1*12:02  Hong Kong Chinese BMDR 0.02117,595
 41  A*11:01-B*56:01-C*04:03-DRB1*12:02-DQB1*03:01  India East UCBB 0.02082,403
 42  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02075,266
 43  A*02:01-B*56:01-DRB1*12:02  Hong Kong Chinese cord blood registry 0.02043,892
 44  A*11:01-B*56:01-C*01:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 45  A*11:01:01-B*56:04:01-C*01:02:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 46  A*11:01:01-B*56:04:01-C*01:02:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 47  A*11:01-B*56:03-DRB1*12:02  Hong Kong Chinese cord blood registry 0.01433,892
 48  A*02:01-B*56:01-C*01:02-DRB1*12:02  Hong Kong Chinese BMDR 0.01407,595
 49  A*03:01-B*56:03-C*01:02-DRB1*12:01  Hong Kong Chinese BMDR 0.01327,595
 50  A*11:01-B*56:01-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.013211,446
 51  A*11:01-B*56:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.01313,892
 52  A*02:01-B*56:03-DRB1*12:01  Hong Kong Chinese cord blood registry 0.01283,892
 53  A*11:01-B*56:01-DRB1*12:01  Hong Kong Chinese cord blood registry 0.01193,892
 54  A*11:01-B*56:01-C*01:02-DRB1*12:02-DQB1*03:01  India Central UCBB 0.01194,204
 55  A*01:01-B*56:01-DRB1*12:01  Israel Argentina Jews 0.01164,307
 56  A*68:01-B*56:01-DRB1*12:01  Israel Argentina Jews 0.01164,307
 57  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*12:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01155,266
 58  A*02:03-B*56:01-C*12:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.01101,772
 59  A*26:01-B*56:01-C*12:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.01101,772
 60  A*02-B*56-C*04-DRB1*12-DQB1*03-DPB1*02  Myanmar Bamar 0.010946
 61  A*02:06-B*56:03-C*01:02-DRB1*12:01  Japan pop 16 0.010018,604
 62  A*24:02-B*56:03-C*01:02-DRB1*12:01  Japan pop 16 0.010018,604
 63  A*31:01-B*56:01-C*04:01-DRB1*12:01  Japan pop 16 0.010018,604
 64  A*02:01:01-B*56:03-C*01:02:01-DRB1*12:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 65  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*12:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 66  A*24:02:01-B*56:04:01-C*01:02:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 67  A*02:07:01-B*56:03-C*01:02:01-DRB1*12:01:01-DPB1*04:02:14  Hong Kong Chinese HKBMDR HLA 11 loci 0.00875,266
 68  A*02:06-B*56:01-C*04:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.00865,829
 69  A*24:02-B*56:01-C*01:02-DRB1*12:01-DQB1*03:01  India West UCBB 0.00865,829
 70  A*24:02-B*56:01-C*07:06-DRB1*12:02-DQB1*03:01  India North UCBB 0.00855,849
 71  A*11:01-B*56:04-DRB1*12:02  Hong Kong Chinese cord blood registry 0.00783,892
 72  A*02:06-B*56:03-C*01:02-DRB1*12:01  Hong Kong Chinese BMDR 0.00707,595
 73  A*11:01:01-B*56:01:01-C*04:03:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00675,266
 74  A*11:01-B*56:03-C*01:02-DRB1*12:02  Hong Kong Chinese BMDR 0.00677,595
 75  A*24:02-B*56:03-C*01:02-DRB1*12:01  Hong Kong Chinese BMDR 0.00677,595
 76  A*11:01-B*56:01-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.00657,595
 77  A*23:01-B*56:01-DRB1*12:01  Israel USSR Jews 0.006445,681
 78  A*11:01-B*56:01-C*01:02-DRB1*12:01  Hong Kong Chinese BMDR 0.00577,595
 79  A*11:01-B*56:02-C*01:02-DRB1*12:02  Hong Kong Chinese BMDR 0.00547,595
 80  A*02:01-B*56:03-C*01:02-DRB1*12:01  Japan pop 16 0.005018,604
 81  A*02:06-B*56:01-C*01:02-DRB1*12:02  Japan pop 16 0.005018,604
 82  A*02:06-B*56:01-C*04:01-DRB1*12:01  Japan pop 16 0.005018,604
 83  A*11:01-B*56:03-C*01:02-DRB1*12:02  Japan pop 16 0.005018,604
 84  A*24:02-B*56:01-C*04:01-DRB1*12:01  Japan pop 16 0.005018,604
 85  A*24:20-B*56:03-C*01:02-DRB1*12:01  Japan pop 16 0.005018,604
 86  A*26:01-B*56:01-C*01:02-DRB1*12:01  Poland DKMS 0.004620,653
 87  A*26:01-B*56:01-C*01:02-DRB1*12:02  Hong Kong Chinese BMDR 0.00467,595
 88  A*02:11-B*56:01-C*15:02-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 89  A*11:01-B*56:01-C*04:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 90  A*11:01-B*56:01-C*01:02-DRB1*12:01  Poland DKMS 0.004320,653
 91  A*24:02-B*56:01-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.004311,446
 92  A*02:01-B*56:01-C*07:02-DRB1*12:01  Hong Kong Chinese BMDR 0.00367,595
 93  A*02:11-B*56:01-C*04:10-DRB1*12:01-DQB1*03:01  India South UCBB 0.003111,446
 94  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*12:01:01-DQB1*03:03:02  Poland BMR 0.003023,595
 95  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002323,595
 96  A*68:01:01-B*56:01:01-C*01:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 97  A*26:01-B*56:01-DRB1*12:01  Israel USSR Jews 0.001345,681
 98  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*12:01:01-DQB1*03:03:02  Poland BMR 0.001223,595

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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