Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 755) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*35:01-C*03:03  Japan Central 6.3000371
 2  A*31:01-B*35:01-C*03:03-DRB1*14:01  China Yunnan Hani 5.0000150
 3  B*35:23-C*03:03  Mexico Oaxaca Mixtec 4.0000103
 4  A*24:02-B*35:01-C*03:03-DRB1*12:02-DQA1*01:02-DQB1*05:02  Brazil Puyanawa 2.3333150
 5  A*02-B*35-C*03:03  South Korea pop 1 1.6000324
 6  B*35:01-C*03:03  USA Asian pop 2 1.58501,772
 7  A*24:02-B*35:17-C*03:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 8  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Vietnam Kinh 0.9900101
 9  A*68:01-B*35:01-C*03:03-DRB1*13:08-DQB1*05:03  Iran Gorgan 0.780064
 10  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.7732194
 11  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 12  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.565424,582
 13  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*08:03:02-DQB1*06:02:01  Vietnam Kinh 0.4950101
 14  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 15  A*24:02-B*35:01-C*03:03-E*01:03:02-F*01:03:01-G*01:01-DRB1*01:03-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 16  A*02:06-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.422018,604
 17  A*23:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQA1*05:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 18  B*35:01-C*03:03  Italy pop 5 0.4200975
 19  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 20  A*02:01-B*35:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.35501,282
 21  A*68:01-B*35:01-C*03:03-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 22  B*35:01-C*03:03  Mexico Mexico City Mestizo population 0.3497143
 23  B*35:01-C*03:03-DRB1*13:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 24  A*02-B*35-C*03:03-DRB1*04:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 25  A*02-B*35-C*03:03-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 26  A*02-B*35-C*03:03-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 27  A*26:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.33003,078
 28  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
 29  A*25:01:01-B*35:01:01-C*03:03:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.3226155
 30  A*68:03:01-B*35:17:01-C*03:03:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 31  A*24:02-B*35:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.31601,772
 32  A*29:02:01-B*35:08:01-C*03:03:01-DRB1*12:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 33  A*26:01-B*35:01-C*03:03-DRB1*04:10  Japan pop 16 0.302018,604
 34  A*68:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.28121,075
 35  A*02:01:01:01-B*35:03:01-C*03:03:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 36  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
 37  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 38  A*02:07-B*35:01-C*03:03-DRB1*14:05-DQA1*01:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 39  A*24:02-B*35:01-C*03:03-DRB1*08:03-DQA1*03:01-DQB1*06:01-DPB1*02:02  USA San Diego 0.2600496
 40  A*02:01-B*35:60-C*03:03-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 41  A*02:07-B*35:05-C*03:03-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.2577194
 42  A*11:01-B*35:01-C*03:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 43  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQB1*06:20  Malaysia Peninsular Chinese 0.2577194
 44  A*24:02-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.229018,604
 45  A*03:01:01-B*35:08:01-C*03:03:01-DRB1*11:02:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 46  A*02:06-B*35:01-C*03:03-DRB1*09:01  Japan pop 16 0.219018,604
 47  A*31:01-B*35:17-C*03:03-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 48  A*68:05-B*35:17-C*03:03-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 49  B*35:01-C*03:03  Mexico Mexico City Mestizo pop 2 0.2100234
 50  B*35:12-C*03:03  Mexico Mexico City Mestizo pop 2 0.2100234
 51  A*01:01-B*35:03-C*03:03-DRB1*14:01-DQB1*05:03:01  England North West 0.2000298
 52  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
 53  A*24:02-B*35:01-C*03:03-DRB1*09:01  Japan pop 16 0.198018,604
 54  A*25:01:01-B*35:03:01-C*03:03:01-DRB1*13:02:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 55  A*11:01-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.188018,604
 56  A*02:01-B*35:03-C*03:03-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 57  A*24:02-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.183018,604
 58  A*02:01-B*35:01-C*03:03-DRB1*04:10  Japan pop 16 0.177018,604
 59  A*03:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.16621,075
 60  A*24:02-B*35:01-C*03:03-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 61  A*24:02-B*35:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 62  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
 63  A*24:02-B*35:01-C*03:03-DRB1*08:02  Japan pop 16 0.156018,604
 64  A*26:01-B*35:01-C*03:03-DRB1*08:02  Japan pop 16 0.156018,604
 65  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.15501,772
 66  A*11:01-B*35:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.15001,282
 67  A*02:01-B*35:01-C*03:03-DRB1*08:01  Germany DKMS - Croatia minority 0.14602,057
 68  A*02:01-B*35:01-C*03:03-DRB1*08:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 69  A*11:01-B*35:01-C*03:03-DRB1*15:01  Hong Kong Chinese BMDR 0.14607,595
 70  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.14421,734
 71  A*02:01-B*35:01-C*03:03-DRB1*08:01  Poland DKMS 0.141220,653
 72  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
 73  A*24:02-B*35:08-C*03:03-DRB1*11:03-DQB1*03:01  Italy pop 5 0.1400975
 74  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.136823,595
 75  A*24:02-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.136018,604
 76  A*24:02-B*35:01-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13301,772
 77  A*02:06-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.130018,604
 78  A*02:06-B*35:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 79  A*11:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 80  A*24:02-B*35:01-C*03:03-DRB1*12:01  Japan pop 16 0.130018,604
 81  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
 82  A*24:02-B*35:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.11901,282
 83  A*02:01-B*35:01-C*03:03-DRB1*12:01  Germany DKMS - China minority 0.11701,282
 84  A*31:01-B*35:01-C*03:03-DRB1*04:03  Germany DKMS - China minority 0.11701,282
 85  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 86  A*02:01-B*35:01-C*03:03-DRB1*09:01  Japan pop 16 0.110018,604
 87  A*11:01-B*35:01-C*03:03-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.1052951
 88  A*26:01-B*35:01-C*03:03-DRB1*04:03  Japan pop 16 0.104018,604
 89  A*26:03-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.104018,604
 90  A*24:02-B*35:01-C*03:03-DRB1*11:01  Italy pop 5 0.1000975
 91  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
 92  A*26:03-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 93  A*26:03-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.10003,078
 94  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
 95  A*02:01-B*35:01-C*03:03-DRB1*15:01  Japan pop 16 0.099018,604
 96  A*02:06-B*35:01-C*03:03-DRB1*11:01  Japan pop 16 0.099018,604
 97  A*32:01:01-B*35:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.0963519
 98  A*02:01-B*35:01-C*03:03-DRB1*08:02  Japan pop 16 0.094018,604
 99  A*24:02-B*35:01-C*03:03  Italy pop 5 0.0900975
 100  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.08961,734

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


   

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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