Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 210) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*15:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.3000485
 2  A*33:01-B*15:01:01-DRB1*09:01:02  Portugal South 1.000049
 3  A*31:01:02-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.9300105
 4  A*31:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:03-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 5  A*24:02-B*15:01-DRB1*09:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 6  A*74:02:01-B*15:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:02:01  Vietnam Kinh 0.4950101
 7  A*02:01-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4900105
 8  A*68:01-B*15:01-C*07:02-DRB1*09:01  Russia Bering Island Aleuts 0.4808104
 9  A*02:01-B*15:01-C*15:02-E*01:03:01-F*01:01:01-G*01:04-DRB1*09:01:02-DQA1*03:02-DQB1*03:03  Portugal Azores Terceira Island 0.4386130
 10  A*68:01:02:01-B*15:01:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 11  A*01:01:01:01-B*15:01:01:01-C*07:01:01-DRB1*09:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 12  A*26:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*04:02-DPB1*05:01  USA San Diego 0.2600496
 13  A*32:01-B*15:01-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 14  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.25951,734
 15  A*11:01-B*15:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 16  A*26:03-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.224018,604
 17  A*02:01-B*15:01-C*01:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*14:01  Nicaragua Managua 0.2165339
 18  A*03:01-B*15:01-C*16:01:01-DRB1*09:01:02-DQB1*02:01  England North West 0.2000298
 19  A*24:02:01-B*15:01:01-C*05:01:01-DRB1*09:01:02-DQB1*04:02:01-DPA1*02:01:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*29:02:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*11:01-B*15:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.17213,892
 22  A*02:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.16901,282
 23  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 24  A*02:01-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.146018,604
 25  A*02:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - France minority 0.14201,406
 26  A*02:01-B*15:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.12993,892
 27  A*24:02-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.11701,282
 28  A*02:01-B*15:01-C*01:02-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 29  A*24:02-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.094018,604
 30  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.09251,734
 31  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 32  A*11:01-B*15:01-C*04:01-DRB1*09:01  Japan pop 16 0.089018,604
 33  A*02:01-B*15:01-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.07801,282
 34  A*24:02-B*15:01-C*01:02-DRB1*09:01  Japan pop 16 0.078018,604
 35  A*24:25-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 36  A*26:01-B*15:01-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 37  A*26:03-B*15:01-C*03:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 38  A*31:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 39  A*02:06-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.068018,604
 40  A*31:01:02-B*15:01:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05761,734
 41  A*24:02-B*15:01-C*03:03-DRB1*09:01-DQB1*03:01-DPB1*03:01  Russia Karelia 0.05651,075
 42  A*24:02-B*15:01-C*03:03-DRB1*09:01-DQB1*03:03-DPB1*03:01  Russia Karelia 0.05651,075
 43  A*11:01-B*15:01-C*04:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.05201,772
 44  A*01:02-B*15:01-C*03:03-DRB1*09:01  Germany DKMS - United Kingdom minority 0.04801,043
 45  A*03:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - United Kingdom minority 0.04801,043
 46  A*26:02-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.047018,604
 47  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04615,266
 48  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*09:01:02-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04495,266
 49  A*02:01-B*15:01-C*03:03-DRB1*09:01  Hong Kong Chinese BMDR 0.04477,595
 50  A*26:02-B*15:01-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 51  A*01:01-B*15:01-C*03:03-DRB1*09:01  Germany DKMS - Portugal minority 0.04301,176
 52  A*02:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - Portugal minority 0.04301,176
 53  A*24:02-B*15:01-C*03:03-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 54  A*02:01-B*15:01-C*02:02-DRB1*09:01  Germany DKMS - Romania minority 0.04101,234
 55  A*02:01-B*15:01-C*03:03-DRB1*09:01  Germany DKMS - China minority 0.04001,282
 56  A*24:02-B*15:01-C*03:03-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 57  A*11:01-B*15:01-C*01:02-DRB1*09:01  Japan pop 16 0.037018,604
 58  A*31:01-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.037018,604
 59  A*03:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - France minority 0.03601,406
 60  A*11:01-B*15:01-C*04:01-DRB1*09:01  Hong Kong Chinese BMDR 0.03557,595
 61  A*11:01-B*15:01-C*01:02-DRB1*09:01  Hong Kong Chinese BMDR 0.03437,595
 62  A*03:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 63  A*03:01:01:01-B*15:01:01-C*02:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 64  A*26:01-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.031018,604
 65  A*02:01-B*15:01-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*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 67  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 68  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*04:02  Japan pop 17 0.03003,078
 69  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 70  A*02:01-B*15:01-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 71  A*02:06-B*15:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 72  A*02:06-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 73  A*02:06-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 74  A*02:06-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 75  A*11:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 76  A*11:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 77  A*11:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 78  A*24:02-B*15:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 79  A*24:02-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 80  A*24:02-B*15:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 81  A*24:02-B*15:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 82  A*26:02-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 83  A*26:03-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 84  A*26:03-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 85  A*26:03-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 86  A*26:03-B*15:01-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 87  A*26:03-B*15:01-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 88  A*32:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - Austria minority 0.02901,698
 89  A*01:01:01-B*15:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 90  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 91  A*02:01-B*15:01-DRB1*09:01  Israel USSR Jews 0.028845,681
 92  A*02:07:01-B*15:01:01-C*03:04:01-DRB1*09:01:02-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 93  A*11:01:01-B*15:01:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 94  A*11:02:01-B*15:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 95  A*26:01:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 96  A*11:01:01-B*15:01:01-C*15:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 97  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02715,266
 98  A*11:01-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.026018,604
 99  A*31:08-B*15:01-DRB1*09:01  Israel USSR Jews 0.025745,681
 100  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02465,266

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 210) records   Pages: 1 2 3 of 3  


   

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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