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 93 (from 93) records   Pages: 1 of 1  

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*02:01-B*51:01-C*07:04-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 67  A*29:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 68  A*02:01-B*51:01-C*15:02-DRB1*08:02  Japan pop 16 0.016018,604
 69  A*11:01-B*51:01-C*14:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01607,595
 70  A*02:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01534,307
 71  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
 72  A*24:02-B*51:01-DRB1*08:02  Hong Kong Chinese cord blood registry 0.01283,892
 73  A*02:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 74  A*32:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 75  A*31:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01164,307
 76  A*01:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01154,307
 77  A*26:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01044,307
 78  A*02:07-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.010018,604
 79  A*24:02-B*51:01-C*15:02-DRB1*08:02  Japan pop 16 0.010018,604
 80  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
 81  A*31:01-B*51:01-C*14:02-DRB1*08:02  Hong Kong Chinese BMDR 0.00777,595
 82  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
 83  A*11:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.00652,492
 84  A*02:03-B*51:01-C*14:02-DRB1*08:02  Hong Kong Chinese BMDR 0.00637,595
 85  A*02:01-B*51:01-C*03:03-DRB1*08:02  Japan pop 16 0.005018,604
 86  A*24:02-B*51:01-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 87  A*24:20-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.005018,604
 88  A*26:01-B*51:01-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 89  A*26:02-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.005018,604
 90  A*31:01-B*51:01-C*03:04-DRB1*08:02  Japan pop 16 0.005018,604
 91  A*01:01-B*51:01-C*14:02-DRB1*08:02  Poland DKMS 0.004120,653
 92  A*31:01-B*51:01-DRB1*08:02  Israel USSR Jews 0.001145,681
 93  A*24:02-B*51:01-C*14:02-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.00006782,492

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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