Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 815) 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  Taiwan Siraya 1.000051
 39  A*24:02-B*54:01  Singapore Chinese 1.0000149
 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 815) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional