Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 460) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:02:01-B*07:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 2  B*15:01-C*03:03-DRB1*15:01  South Korea pop 3 1.1000485
 3  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.7732194
 4  A*11-B*15-C*03:03-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 5  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 6  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.565424,582
 7  A*11:01:01-B*40:01:02-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01  Vietnam Kinh 0.4950101
 8  A*02:06-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.422018,604
 9  A*26:01:01-B*07:02:01-C*03:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 10  A*32:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02  Kosovo 0.4030124
 11  A*02:01-B*35:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.35501,282
 12  A*26:03-B*15:01-C*03:03-DRB1*15:01  Japan pop 16 0.344018,604
 13  A*31:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.34401,282
 14  A*02-B*35-C*03:03-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 15  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.32881,734
 16  A*11:01:01-B*51:01:01-C*03:03:01-DRB1*15:01:01-DQA1*06:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 17  A*26:01:01-B*55:01:01-C*03:03:01-DRB1*15:01:01-DQA1*02:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 18  A*24:02-B*35:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.31601,772
 19  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*133:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 20  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*04:01  South Africa Worcester 0.3000159
 21  A*11:01-B*55:01-C*03:03-DRB1*15:01-DQB1*06:03:01  England North West 0.3000298
 22  A*02:01:01-B*51:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 23  A*02:05:01-B*35:01:01:02-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 24  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 25  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:03-DPB1*03:01  USA San Diego 0.2600496
 26  A*24:02-B*18:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 27  A*24:02-B*40:02-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 28  A*30:02-B*53:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  USA San Diego 0.2600496
 29  A*02:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - France minority 0.25801,406
 30  A*02:07-B*35:05-C*03:03-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.2577194
 31  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQB1*06:20  Malaysia Peninsular Chinese 0.2577194
 32  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.22971,510
 33  A*24:02-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.229018,604
 34  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.21155,926
 35  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.20181,734
 36  A*02:06-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 37  A*29:02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 38  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 39  A*24:02-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.19701,282
 40  A*02:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - Austria minority 0.19601,698
 41  A*24:02-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - United Kingdom minority 0.19501,043
 42  A*02:01:01-B*13:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 43  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 44  A*26:01:01-B*55:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 45  A*26:01-B*15:05-C*03:03-DRB1*15:01-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 46  A*26:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - Portugal minority 0.17001,176
 47  A*02:03-B*55:01-C*03:03-DRB1*15:01-DQB1*05:02  India Northeast UCBB 0.1689296
 48  A*02:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - United Kingdom minority 0.16501,043
 49  A*24:02-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.16003,078
 50  A*26:03-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.16003,078
 51  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.15501,772
 52  A*11:01-B*35:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.15001,282
 53  A*11:01-B*35:01-C*03:03-DRB1*15:01  Hong Kong Chinese BMDR 0.14607,595
 54  A*11:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.14201,282
 55  A*24:02-B*55:01-C*03:03-DRB1*15:01  Germany DKMS - France minority 0.14201,406
 56  A*02:01:01-B*35:03:01-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 57  A*24:02:01-B*40:06:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 58  A*31:01-B*15:01-C*03:03-DRB1*15:01  Japan pop 16 0.136018,604
 59  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.12921,734
 60  A*24:02-B*35:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.11901,282
 61  A*24:02:01-B*40:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.11531,734
 62  A*24:02-B*15:01-C*03:03-DRB1*15:01  Japan pop 16 0.104018,604
 63  A*26:03-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.104018,604
 64  A*24:02-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 65  A*24:02-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 66  A*26:01-B*07:02-C*03:03-DRB1*15:01  Italy pop 5 0.1000975
 67  A*26:03-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 68  A*02:01-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.099018,604
 69  A*02:06-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.09701,282
 70  A*11:01-B*55:01-C*03:03-DRB1*15:01  Germany DKMS - Croatia minority 0.09702,057
 71  A*24:02-B*55:01-C*03:03-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 72  A*32:01-B*55:01-C*03:03-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 73  A*68:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - United Kingdom minority 0.09601,043
 74  A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.09401,999
 75  A*01:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - France minority 0.09301,406
 76  A*02:03-B*55:02-C*03:03-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.08901,772
 77  A*26:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 78  A*26:03-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 79  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 80  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 81  A*31:01:02-B*35:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 82  A*03:01-B*55:01-C*03:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.08601,159
 83  A*26:01-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.083018,604
 84  A*26:02-B*15:01-C*03:03-DRB1*15:01  Japan pop 16 0.083018,604
 85  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.078777,584
 86  A*02:06-B*15:46-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.07801,282
 87  A*02:06-B*35:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.07801,282
 88  A*33:03-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.07801,282
 89  A*11:01-B*55:01-C*03:03-DRB1*15:01  Germany DKMS - Romania minority 0.07701,234
 90  A*02:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - Netherlands minority 0.07601,374
 91  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.07583,456,066
 92  A*26:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - Netherlands minority 0.07301,374
 93  A*24:02-B*15:05-C*03:03-DRB1*15:01-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 94  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 95  A*26:03-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 96  A*01:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - Austria minority 0.06901,698
 97  A*24:02-B*35:01-C*03:03-DRB1*15:01  Hong Kong Chinese BMDR 0.06877,595
 98  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 99  A*26:01-B*55:01-C*03:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 100  A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335

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 460) records   Pages: 1 2 3 4 5 of 5  


   

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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