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 100 (from 102) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*51:01-DRB1*08:02  Mexico Oaxaca Mixtec 3.0000103
 2  A*02:01-B*51:01-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 3  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 4  A*01:01-B*51:01-DRB1*08:02-DQB1*03:01  Chile Mapuche 0.770066
 5  A*03:01-B*51:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 6  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 7  A*02:01:01-B*51:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 8  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 9  A*03:01-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 10  A*31:01-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.579018,604
 11  A*24:02-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 12  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.5000105
 13  B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 14  A*02:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 15  A*11:01-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 16  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 17  A*02:01-B*51:01-C*05:01-DRB1*08:02  Brazil Vale do Ribeira Quilombos 0.3472144
 18  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.29003,078
 19  A*30:02-B*51:01-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496
 20  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.23003,078
 21  A*68:01-B*51:01-C*07:02-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 22  A*03:34-B*51:01-C*16:02-DRB1*08:02-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 23  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 24  A*02:06-B*51:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 25  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.13501,772
 26  A*24:02-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.125018,604
 27  A*03:01-B*51:01-C*15:02-DRB1*08:02  Italy pop 5 0.1000975
 28  A*02:13-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.07721,463
 29  A*24:02-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 30  A*33:01-B*51:01-C*03:02-DRB1*08:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 31  A*02:01-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.047018,604
 32  A*02:06-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.047018,604
 33  A*02:06-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 34  A*02:13-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 35  A*68:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 36  A*02:06-B*51:01-C*14:02-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 37  A*03:02-B*51:01-C*15:02-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 38  A*02:01-B*51:01-C*14:02-DRB1*08:02  Germany DKMS - Portugal minority 0.04301,176
 39  A*01:01-B*51:01-C*07:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 40  A*31:08-B*51:01-DRB1*08:02  Israel Argentina Jews 0.03964,307
 41  A*11:01-B*51:01-C*14:02-DRB1*08:02  Germany DKMS - China minority 0.03901,282
 42  A*31:01-B*51:01-DRB1*08:02  Hong Kong Chinese cord blood registry 0.03833,892
 43  A*02:01-B*51:01-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 44  A*03:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*01:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.03372,492
 46  A*68:02-B*51:01-DRB1*08:02  Israel Argentina Jews 0.03244,307
 47  A*11:01-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.031018,604
 48  A*33:03-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.031018,604
 49  A*02:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 50  A*02:06-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 51  A*24:02-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 52  A*26:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 53  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 54  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 55  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 56  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 57  A*33:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 58  A*33:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 59  A*11:01:01-B*51:01:01-C*04:82-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 60  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*08:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 61  A*74:02:01-B*51:01:01-C*14:02:01-DRB1*08:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 62  A*11:01-B*51:01-DRB1*08:02  Hong Kong Chinese cord blood registry 0.02443,892
 63  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*08:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02275,266
 64  A*26:01-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.021018,604
 65  A*26:03-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.021018,604
 66  A*11:01-B*51:01-C*05:01-DRB1*08:02-DQB1*03:02  India East UCBB 0.02082,403
 67  A*02:01-B*51:01-C*07:04-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 68  A*29:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 69  A*02:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.017511,446
 70  A*03:02-B*51:01-C*15:02-DRB1*08:02-DQB1*03:02  India West UCBB 0.01725,829
 71  A*02:01-B*51:01-C*15:02-DRB1*08:02  Japan pop 16 0.016018,604
 72  A*11:01-B*51:01-C*14:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01607,595
 73  A*02:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01534,307
 74  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*08:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01305,266
 75  A*24:02-B*51:01-DRB1*08:02  Hong Kong Chinese cord blood registry 0.01283,892
 76  A*02:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 77  A*32:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 78  A*31:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01164,307
 79  A*01:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01154,307
 80  A*26:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01044,307
 81  A*02:07-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.010018,604
 82  A*24:02-B*51:01-C*15:02-DRB1*08:02  Japan pop 16 0.010018,604
 83  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*08:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 84  A*11:01-B*51:01-C*15:02-DRB1*08:02-DQB1*03:02  India West UCBB 0.00865,829
 85  A*31:01-B*51:01-C*14:02-DRB1*08:02  Hong Kong Chinese BMDR 0.00777,595
 86  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*08:02:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00755,266
 87  A*11:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.00652,492
 88  A*02:03-B*51:01-C*14:02-DRB1*08:02  Hong Kong Chinese BMDR 0.00637,595
 89  A*02:01-B*51:01-C*03:03-DRB1*08:02  Japan pop 16 0.005018,604
 90  A*24:02-B*51:01-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 91  A*24:20-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.005018,604
 92  A*26:01-B*51:01-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 93  A*26:02-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.005018,604
 94  A*31:01-B*51:01-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 95  A*02:06-B*51:01-C*16:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 96  A*11:01-B*51:01-C*12:02-DRB1*08:02-DQB1*03:01  India South UCBB 0.004411,446
 97  A*26:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 98  A*32:01-B*51:01-C*03:153-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 99  A*01:01-B*51:01-C*14:02-DRB1*08:02  Poland DKMS 0.004120,653
 100  A*26:01-B*51:01-C*16:02-DRB1*08:02-DQB1*03:01  India South UCBB 0.001811,446

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 102) 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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