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 819) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*54:01-C*01:02  Japan Central 7.1000371
 2  A*24-B*54-C*01  Brazil Parana Japanese 5.2400192
 3  A*24:02-B*54:01-C*01:02  Japan pop 5 4.0000117
 4  B*54:01-C*01:02  Taiwan Minnan pop 1 3.4000102
 5  B*54:01-C*01:02  USA Asian 3.2000358
 6  B*54:01-C*01:02  USA Asian pop 2 2.95501,772
 7  B*54:01-C*01:02  Taiwan Siraya 2.900051
 8  B*54:01-DRB1*04:05:01  Taiwan Siraya 2.900051
 9  B*54:01-C*01:02  Taiwan Hakka 2.700055
 10  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 2.592824,582
 11  A*24:02-B*54:01-C*01:02-DRB1*04:05  Japan pop 16 2.539018,604
 12  A*24:02-B*54:01  Taiwan Minnan pop 1 2.5000102
 13  B*54:01-C*01:02-DRB1*04:05  South Korea pop 3 2.5000485
 14  B*54:01-DRB1*04:05-DQB1*04:01  South Korea pop 3 2.5000485
 15  A*02-B*54-C*01  South Korea pop 1 2.2000324
 16  A*24-B*54-C*01  South Korea pop 1 2.1000324
 17  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 1.99003,078
 18  A*02:07-B*54:01  Taiwan Siraya 1.900051
 19  A*24:02-B*54:01  Taiwan Hakka 1.800055
 20  A*02:01-B*54:01-C*01:02  South Korea pop 3 1.7000485
 21  A*11:01-B*54:01  Taiwan Thao 1.700030
 22  B*54:01-C*07:02  Taiwan Thao 1.700030
 23  B*54:01-DRB1*08:03:02  Taiwan Thao 1.700030
 24  A*24:02-B*54:01  Hong Kong Chinese 1.6000569
 25  A*11:01-B*54:01-C*01:02  South Korea pop 3 1.5000485
 26  A*11-B*54-DRB1*15  Brazil Parana Oriental 1.500033
 27  B*54:01-DRB1*14:01  Taiwan Minnan pop 1 1.5000102
 28  A*02-B*54-DRB1*04:05  South Korea pop 1 1.4000324
 29  A*11-B*54-C*01  Brazil Parana Japanese 1.3800192
 30  A*24:02-B*54:01-DRB1*04:05  South Korea pop 10 1.32004,128
 31  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01-DPB1*05:01  Japan Central 1.3000371
 32  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Korean 1.191177,584
 33  A*24:02-B*54:01  USA Asian pop 2 1.18701,772
 34  A*11:01-B*54:01  USA Asian 1.1000358
 35  A*24:02-B*54:01-C*01:02  South Korea pop 3 1.1000485
 36  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 1.032524,582
 37  A*11:01-B*54:01-C*01:02-DRB1*04:05  Japan pop 16 1.001018,604
 38  A*24:02-B*54:01  Singapore Chinese 1.0000149
 39  A*24:02-B*54:01  Taiwan Siraya 1.000051
 40  A*34:01-B*54:01  Philippines Ivatan 1.000050
 41  B*54:01-C*01:02  Philippines Ivatan 1.000050
 42  B*54:01-C*01:02-DRB1*08:03  South Korea pop 3 1.0000485
 43  B*54:01-DRB1*04:05:01  Philippines Ivatan 1.000050
 44  A*26-B*54-C*01  Brazil Parana Japanese 0.8700192
 45  A*31:01-B*54:01-DRB1*04:01-DQB1*04:01  Iran Saqqez-Baneh Kurds 0.833360
 46  A*24:02:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.79201,734
 47  A*02:01-B*54:01  USA Asian pop 2 0.78701,772
 48  A*24-B*54-C*03  Brazil Parana Japanese 0.7800192
 49  A*29:01-B*54:01-C*04:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 0.780064
 50  A*11:01-B*54:01  USA Asian pop 2 0.75301,772
 51  A*24-B*54-DRB1*04  China Shaanxi Province Han 0.700010,000
 52  A*24-B*54-C*01:02-DRB1*04:05-DQB1*04  Russia Transbaikal Territory Buryats 0.6670150
 53  A*24-B*54-C*01:02-DRB1*04:08-DQB1*04  Russia Transbaikal Territory Buryats 0.6670150
 54  A*24-B*54-C*01:02-DRB1*14:01-DQB1*05  Russia Transbaikal Territory Buryats 0.6670150
 55  A*11:01-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.65003,078
 56  A*11:01-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.63301,772
 57  A*24-B*54-DRB1*04:05  USA NMDP Asian and Pacific Islander 0.6000359,423
 58  A*02-B*54-C*01  Brazil Parana Japanese 0.5600192
 59  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Vietnamese 0.546343,540
 60  A*24:02-B*54:01-C*01:02-DRB1*04:05  Germany DKMS - China minority 0.52301,282
 61  A*24:02-B*54:01-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.5210496
 62  A*31:01-B*54:01-DRB1*15:01-DQB1*04:01  Iran Tabriz Azeris 0.515597
 63  A*02:01:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 64  A*02:03:01-B*54:01:01-C*04:03:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 65  A*02:03:02-B*54:01:01-C*07:02:01-DRB1*14:04:01-DQB1*05:01:03  Vietnam Kinh 0.4950101
 66  A*26-B*54-DRB1*14-DQB1*05  Mexico Sinaloa, Culiacán 0.4854103
 67  A*02:01-B*54:01-DRB1*14:05  New Zealand Maori with Admixed History 0.4762105
 68  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Chinese 0.475199,672
 69  A*24:02-B*54:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.45383,892
 70  A*24-B*54-DRB1*04-DQA1*03-DQB1*03:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 71  A*33-B*54-DRB1*04-DQA1*03-DQB1*03:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 72  A*03:01-B*54:01-C*15:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*03:01:01-DQA1*05:01-DQB1*02:03  Portugal Azores Terceira Island 0.4386130
 73  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Korean 0.438577,584
 74  A*31:01:02-B*54:01:01-C*01:02:01-DRB1*14:05:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*02:01:02-DPB1*47:01:01  Russian Federation Vologda Region 0.4202119
 75  A*68:01:02:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*05:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 76  A*11:01-B*54:01-C*01:02-DRB1*04:05  Germany DKMS - China minority 0.40601,282
 77  A*11:01:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.40431,734
 78  A*68-B*54-C*01-DRB1*11  Iran pop 4 0.4000855
 79  A*24:02-B*54:01-C*01:02-DRB1*04:05  Hong Kong Chinese BMDR 0.37737,595
 80  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Chinese 0.369099,672
 81  A*11:01-B*54:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.36793,892
 82  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Vietnamese 0.365143,540
 83  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.36301,772
 84  A*02:01-B*54:01-C*01:02-DRB1*04:05  Japan pop 16 0.360018,604
 85  A*03-B*54-C*01-DRB1*07-DQB1*02  Albania pop 2 0.3400432
 86  A*24:02-B*54:01-C*01:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.33701,772
 87  A*02-B*54-C*01:02-DRB1*04:08-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 88  A*11-B*54-C*01:02-DRB1*08:03-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 89  A*24-B*54-C*01:02-DRB1*08:03-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 90  A*24-B*54-C*01:02-DRB1*14:03-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 91  A*24-B*54-C*03:04-DRB1*14:12-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 92  A*31-B*54-C*01:02-DRB1*04:05-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 93  A*68-B*54-C*01:02-DRB1*14:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 94  A*02-B*54-DRB1*04  China Shaanxi Province Han 0.300010,000
 95  A*11-B*54-DRB1*04:05  USA NMDP Asian and Pacific Islander 0.3000359,423
 96  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 97  A*11:01-B*54:01-C*01:02-DRB1*04:05  Hong Kong Chinese BMDR 0.28717,595
 98  A*02:01-B*54:01-C*03:02-DRB1*11:01-DQA1*05:01-DQB1*06:09-DPB1*03:01  USA San Diego 0.2600496
 99  A*02:03-B*54:01-C*03:17-DRB1*04:05-DQA1*03:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 100  A*02:06-B*54:01-C*01:02-DRB1*04:05-DQA1*03:01-DQB1*04:01-DPB1*05:01  USA San Diego 0.2600496

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 819) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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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