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 210) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 2  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 3  A*01:01-B*48:01-C*08:01-DRB1*09:01  Poland DKMS 0.002420,653
 4  A*01:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.00855,849
 5  A*01:01-B*48:01-C*08:03-DRB1*09:01-DQB1*05:02  India West UCBB 0.00865,829
 6  A*01:01-B*48:01-C*08:22-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 7  A*01:01-B*48:01-C*15:04-DRB1*09:01-DQB1*03:03  India East UCBB 0.02082,403
 8  A*01:01-B*48:01-DRB1*09:01  Israel USSR Jews 0.005245,681
 9  A*01:17-B*48:01-DRB1*09:01  Israel USSR Jews 0.000547045,681
 10  A*01:36-B*48:01-DRB1*09:01  Israel USSR Jews 0.000547045,681
 11  A*01-B*48-C*08-DRB1*09-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.01004,510
 12  A*01-B*48-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 13  A*01-B*48-DRB1*09  Brazil Para State 0.02265,000
 14  A*02:01:01:01-B*48:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 15  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 16  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 17  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 18  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 19  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 20  A*02:01-B*48:01-C*03:03-DRB1*09:01  Hong Kong Chinese BMDR 0.00397,595
 21  A*02:01-B*48:01-C*03:03-DRB1*09:01  Japan pop 16 0.005018,604
 22  A*02:01-B*48:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 23  A*02:01-B*48:01-C*07:02-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 24  A*02:01-B*48:01-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.11601,282
 25  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004311,446
 26  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.00745,849
 27  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*02:01-B*48:01-C*08:03-DRB1*09:01  Hong Kong Chinese BMDR 0.02337,595
 29  A*02:01-B*48:01-C*08:03-DRB1*09:01  Japan pop 16 0.031018,604
 30  A*02:01-B*48:01-C*08:03-DRB1*09:01  Poland DKMS 0.014120,653
 31  A*02:01-B*48:01-DRB1*09:01  Israel Argentina Jews 0.06054,307
 32  A*02:01-B*48:01-DRB1*09:01  Israel USSR Jews 0.015445,681
 33  A*02:01-B*48:01-DRB1*09:01-DQB1*03:02  Peru Titikaka Lake Uros 1.4300105
 34  A*02:01-B*48:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4000105
 35  A*02:03:01-B*48:01:01-C*08:22-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01895,266
 36  A*02:03-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.00697,595
 37  A*02:03-B*48:03-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.00537,595
 38  A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 39  A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 40  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 41  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*02:06:01-B*48:01:01-C*08:22:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05771,734
 43  A*02:06:01-B*48:03:01-C*08:01:01-DRB1*09:01:02-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00645,266
 44  A*02:06:01-B*48:03:01-C*08:01:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03705,266
 45  A*02:06-B*48:01-C*03:03-DRB1*09:01  Japan pop 16 0.005018,604
 46  A*02:06-B*48:01-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.07801,282
 47  A*02:06-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.01607,595
 48  A*02:06-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.037018,604
 49  A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 50  A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 51  A*02:06-B*48:01-C*08:03-DRB1*09:01  Hong Kong Chinese BMDR 0.00567,595
 52  A*02:06-B*48:01-C*08:03-DRB1*09:01  Japan pop 16 0.016018,604
 53  A*02:06-B*48:01-C*08:03-DRB1*09:01  Poland DKMS 0.002320,653
 54  A*02:06-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03-DPB1*02:01  Russia Karelia 0.11291,075
 55  A*02:06-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.01983,892
 56  A*02:06-B*48:01-DRB1*09:01  Israel USSR Jews 0.004445,681
 57  A*02:07:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02411,734
 58  A*02:11-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.003511,446
 59  A*02:11-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 60  A*02:11-B*48:02-C*04:01-DRB1*09:01  Germany DKMS - Spain minority 0.04501,107
 61  A*02:11-B*48:02-DRB1*09:01  Israel Argentina Jews 0.01164,307
 62  A*02-B*48-C*08:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 63  A*02-B*48-DRB1*09  Brazil South East Cord Blood 0.217011,409
 64  A*02-B*48-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 65  A*02-B*48-DRB1*09  Brazil Para State 0.54215,000
 66  A*02-B*48-DRB1*09  Brazil Para Cord Blood Unit 1.2993841
 67  A*02-B*48-DRB1*09  China Shaanxi Province Han 0.300010,000
 68  A*02-B*48-DRB1*09:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 69  A*02-B*48-DRB1*09:01-DQB1*03:02  Bolivia La Paz Aymaras 1.149087
 70  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 1.688087
 71  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia Quechua 2.100069
 72  A*02-B*48-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 73  A*02-B*48-DRB1*09-DQB1*02  Mexico Puebla Rural 0.0600833
 74  A*02-B*48-DRB1*09-DQB1*03:03  Ecuador Coast Mixed Ancestry 0.4202238
 75  A*02-B*48-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 1.3956824
 76  A*02-B*48-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 1.06561,173
 77  A*02-B*48-DRB1*09-DQB1*03:03  Mexico Durango, Durango city 0.6452153
 78  A*02-B*48-DRB1*09-DQB1*03:03  Mexico Chihuahua Rural 0.4184236
 79  A*02-B*48-DRB1*09-DQB1*03:03  Mexico Durango Rural 0.1529326
 80  A*02-B*48-DRB1*09-DQB1*03:03  Mexico Coahuila Rural 1.3761216
 81  A*02-B*48-DRB1*09-DQB1*05  Mexico Puebla, Puebla city 0.02511,994
 82  A*03:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 83  A*03:01:01-B*48:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 84  A*03:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 85  A*03:01-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 86  A*03:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 87  A*11:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00635,266
 88  A*11:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00615,266
 89  A*11:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01175,266
 90  A*11:01-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.03697,595
 91  A*11:01-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.125018,604
 92  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 93  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 94  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 95  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.01105,849
 96  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 97  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13301,772
 98  A*11:01-B*48:01-C*08:03-DRB1*09:01  Hong Kong Chinese BMDR 0.02517,595
 99  A*11:01-B*48:01-C*08:03-DRB1*09:01  Japan pop 16 0.005018,604
 100  A*11:01-B*48:01-C*08:03-DRB1*09:01  Poland DKMS 0.000400020,653

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 210) records   Pages: 1 2 3 of 3  


   

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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