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 569) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11-B*51-DRB1*09:01  Malaysia Sarawak Bidayuh 4.000050
 2  A*02-B*51-DRB1*09-DQB1*03:03  Ecuador Amazonia Mixed Ancestry 2.564139
 3  A*02-B*51-DRB1*09:01-DQB1*03:02  Bolivia La Paz Aymaras 2.299087
 4  A*24:07-B*51:02-DRB1*09:01  Malaysia Mandailing 1.851927
 5  A*24-B*51-DRB1*09:01  Malaysia Sabah Kadazan 1.800057
 6  A*02:07-B*51:01-DRB1*09:01  Malaysia Kelantan 1.785728
 7  A*11:01:01-B*51-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02-DPB1*04:01:01  China Yunnan Province Lisu 1.7000111
 8  A*02-B*51-DRB1*09  Brazil Parana Oriental 1.500033
 9  A*31-B*51-DRB1*09  Brazil Parana Oriental 1.500033
 10  A*02:01-B*51:01-DRB1*09:01:02-DQB1*03:03  USA South Dakota Lakota Sioux 1.4000302
 11  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03-DPB1*02:01  Japan Central 1.1000371
 12  A*24:02-B*51:01-DRB1*09:01  China Jiangsu Province Han 1.0500334
 13  A*24-B*51-DRB1*09:01  South Korea pop 1 1.0000324
 14  B*51:01-C*14:02-DRB1*09:01  South Korea pop 3 1.0000485
 15  A*33-B*51-DRB1*09-DQB1*02  Mexico Sinaloa, Culiacán 0.9709103
 16  A*02-B*51-DRB1*09-DQB1*03:03  Mexico Yucatan Rural 0.7463132
 17  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.725077,584
 18  A*02-B*51-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 0.706087
 19  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.681124,582
 20  A*11:01-B*51:01-DRB1*09:01  Israel Bukhara Jews 0.66302,317
 21  A*24:02-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.652018,604
 22  A*02-B*51-DRB1*09  China Shaanxi Province Han 0.600010,000
 23  A*24-B*51-DRB1*09  China Shaanxi Province Han 0.600010,000
 24  A*02-B*51-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.55411,173
 25  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 26  A*03:01:01-B*51:01:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 27  B*51:01:01-C*16:02:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 28  B*51:01:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 29  A*02:01-B*51:06-DRB1*09:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 30  A*02:03:01-B*51:01:01-C*07:02:01-DRB1*09:01:02-DQB1*05:03:01  Vietnam Kinh 0.4950101
 31  A*02-B*51-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.4854824
 32  A*02:01-B*51:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4600105
 33  A*02-B*51-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 34  A*02:01-B*51:01-C*14:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*09:01:02-DQA1*03:02-DQB1*03:03  Portugal Azores Terceira Island 0.4386130
 35  A*02:01-B*51:01-C*15:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*09:01:02-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 36  A*11:01-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - China minority 0.43101,282
 37  A*02-B*51-DRB1*09-DQB1*03:03  Ecuador Coast Mixed Ancestry 0.4202238
 38  A*24-B*51-DRB1*09-DQB1*03:03  Ecuador Coast Mixed Ancestry 0.4202238
 39  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 40  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.40741,734
 41  A*11:01-B*51:01-C*07:01-DRB1*09:01-DQA1*03:03-DQB1*06:03  Kosovo 0.4030124
 42  A*11-B*51-DRB1*09  China Shaanxi Province Han 0.400010,000
 43  A*11:01-B*51:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.39693,892
 44  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.39003,078
 45  A*02:01-B*51:08-C*07:02-DRB1*09:01-DQB1*03:03  Mexico Mexico City Mestizo population 0.3497143
 46  B*51:08-C*07:02-DRB1*09:01-DQB1*03:03  Mexico Mexico City Mestizo population 0.3497143
 47  A*24:02-B*51:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.34733,892
 48  A*02-B*51-DRB1*09  Brazil Para Cord Blood Unit 0.3457841
 49  A*24-B*51-C*15:02-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 50  A*31-B*51-DRB1*09-DQB1*03:03  Mexico Mexico City Metropolitan Area Rural 0.3289150
 51  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.31101,772
 52  A*11:01-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.30377,595
 53  A*24-B*51-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.3034824
 54  A*24-B*51-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.3000359,423
 55  A*68-B*51-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 56  A*24-B*51-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.29841,173
 57  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 58  A*02-B*51-DRB1*09:01  Chile Santiago 0.2815920
 59  A*02:01-B*51:01-C*15:02-DRB1*09:01-DQB1*03:03-DPB1*04:02  Russia Karelia 0.27791,075
 60  A*25-B*51-DRB1*09-DQB1*03:03  Mexico Tlaxcala, Tlaxcala city 0.2762181
 61  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.275299,672
 62  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.27101,772
 63  A*68-B*51-DRB1*09:01  Colombia Barranquilla 0.2700188
 64  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.26841,734
 65  A*24:02-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.26767,595
 66  A*02:01-B*51:01-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 67  A*11:01-B*51:02-C*03:02-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 68  A*24:02-B*51:01-C*03:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 69  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 70  A*11:01-B*51:06-DRB1*09:01  Israel Bukhara Jews 0.24302,317
 71  A*68-B*51-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.2427824
 72  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 73  A*31-B*51-DRB1*09-DQB1*03:03  Mexico Coahuila Rural 0.2294216
 74  A*31:01-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.229018,604
 75  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.22731,734
 76  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.21231,734
 77  A*02-B*51-DRB1*09-DQB1*03:03  Mexico Chihuahua Rural 0.2092236
 78  A*03-B*51-DRB1*09-DQB1*03:03  Mexico Chihuahua Rural 0.2092236
 79  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.20801,772
 80  A*02:01-B*51:01-C*15:02-DRB1*09:01:02-DQB1*03:03:02  England North West 0.2000298
 81  A*02:17-B*51:01-C*15:02-DRB1*09:01  Italy pop 5 0.2000975
 82  A*02-B*51-DRB1*09  Iraq Erbil 0.2000372
 83  A*02-B*51-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.2000359,423
 84  A*03-B*51-DRB1*09  Iraq Erbil 0.2000372
 85  A*11:01-B*51:01-C*05:01-DRB1*09:01:02-DQB1*03:03:02  England North West 0.2000298
 86  A*11-B*51-DRB1*09  Iraq Erbil 0.2000372
 87  A*11-B*51-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.2000359,423
 88  A*31-B*51-DRB1*09  China Shaanxi Province Han 0.200010,000
 89  A*11:01-B*51:02-C*15:02-DRB1*09:01  Hong Kong Chinese BMDR 0.19087,595
 90  A*02:17-B*51:01-C*15:02-DRB1*09:01-DQB1*03:01-DPB1*15:01  Panama 0.1900462
 91  A*23:01-B*51:07-C*14:02-DRB1*09:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 92  A*11:01-B*51:02-DRB1*09:01  Hong Kong Chinese cord blood registry 0.18913,892
 93  A*02-B*51-DRB1*09-DQB1*03:03  Mexico Zacatecas Rural 0.1859266
 94  A*25-B*51-DRB1*09-DQB1*03:03  Mexico Puebla Rural 0.1799833
 95  A*03-B*51-C*14-DRB1*09  Macedonia 0.1748286
 96  A*03-B*51-DRB1*09  Macedonia 0.1748286
 97  B*51-DRB1*09  Macedonia 0.1748286
 98  A*25:01-B*51:01-C*03:03-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 99  A*68-B*51-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.17051,173
 100  A*11:01-B*51:02-C*15:02-DRB1*09:01-DQB1*04:01  India Northeast UCBB 0.1689296

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 569) records   Pages: 1 2 3 4 5 6 of 6  


   

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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