Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 176) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:07-B*48:01-DRB1*09:01  Malaysia Kedah Kensiu 4.760021
 2  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia Quechua 2.100069
 3  B*48:01-DRB1*09:01:02  Taiwan Atayal 2.1000106
 4  A*24-B*48-DRB1*09:01  Malaysia Sarawak Bidayuh 2.000050
 5  B*48:01-DRB1*09:01:02  Taiwan Thao 1.700030
 6  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 1.688087
 7  A*02:01-B*48:01-DRB1*09:01-DQB1*03:02  Peru Titikaka Lake Uros 1.4300105
 8  A*02-B*48-DRB1*09:01-DQB1*03:02  Bolivia La Paz Aymaras 1.149087
 9  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 1.0000150
 10  A*02-B*48-C*08:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 11  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 12  A*02:01-B*48:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4000105
 13  A*24-B*48-C*08:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 14  A*31:01-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 0.3333150
 15  A*26:01:01-B*48:02:01-C*04:01:01-DRB1*09:01:02-DQB1*05:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  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
 17  A*26:01:01-B*48:01:01-C*07:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 18  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 19  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.209511,499
 20  A*68:01-B*48:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  England North West 0.2000298
 21  A*30:02-B*48:01-C*04:01-DRB1*09:01-DQB1*03:01-DPB1*14:01  Panama 0.1900462
 22  A*24:02-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.13997,595
 23  A*24:02-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.13983,892
 24  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13301,772
 25  A*11:01-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.125018,604
 26  A*02:01-B*48:01-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.11601,282
 27  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 28  A*02:06-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03-DPB1*02:01  Russia Karelia 0.11291,075
 29  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 30  A*02:06-B*48:01-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.07801,282
 31  A*02-B*48-DRB1*09:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 32  A*34-B*48-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 33  A*68-B*48-DRB1*09:01-DQA1*01:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 34  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 35  A*31:01-B*48:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 36  A*11:01-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.06943,892
 37  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
 38  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
 39  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
 40  A*24:02:01-B*48:01:01-C*08:22-DRB1*09:01:02-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06435,266
 41  A*31:01-B*48:01-C*04:01-DRB1*09:01  Japan pop 16 0.063018,604
 42  A*02:01-B*48:01-DRB1*09:01  Israel Argentina Jews 0.06054,307
 43  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
 44  A*24:02-B*48:01-C*08:03-DRB1*09:01  Japan pop 16 0.057018,604
 45  A*29-B*48-DRB1*09:01  Chile Santiago 0.0543920
 46  A*31-B*48-DRB1*09:01  Chile Santiago 0.0543920
 47  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.04925,849
 48  A*02:11-B*48:02-C*04:01-DRB1*09:01  Germany DKMS - Spain minority 0.04501,107
 49  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 50  A*31:01-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 51  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 52  A*24:02:01-B*48:01:01-C*08:22-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03935,266
 53  A*24:02-B*48:01-C*08:03-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 54  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
 55  A*02:06-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.037018,604
 56  A*24:02-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.037018,604
 57  A*11:01-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.03697,595
 58  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.03574,204
 59  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 60  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.03351,734
 61  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
 62  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
 63  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
 64  A*02:01-B*48:01-C*08:03-DRB1*09:01  Japan pop 16 0.031018,604
 65  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
 66  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
 67  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
 68  A*11:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 69  A*24:02-B*48:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 70  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 71  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 72  A*26:01-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
 73  A*26:02-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
 74  A*26:03-B*48:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 75  A*31:01-B*48:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 76  A*31:01-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
 77  A*31:01-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
 78  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
 79  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
 80  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
 81  A*31:01:02-B*48:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 82  A*26:02-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.026018,604
 83  A*11:01-B*48:01-C*08:03-DRB1*09:01  Hong Kong Chinese BMDR 0.02517,595
 84  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
 85  A*02:01-B*48:01-C*08:03-DRB1*09:01  Hong Kong Chinese BMDR 0.02337,595
 86  A*24:02-B*48:01-C*03:03-DRB1*09:01  Japan pop 16 0.021018,604
 87  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.02104,856
 88  A*26:01-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.021018,604
 89  A*01:01-B*48:01-C*15:04-DRB1*09:01-DQB1*03:03  India East UCBB 0.02082,403
 90  A*11:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  India Tamil Nadu 0.02012,492
 91  A*02:06-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.01983,892
 92  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
 93  A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.01785,849
 94  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 95  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 96  A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 97  A*02:06-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.01607,595
 98  A*02:06-B*48:01-C*08:03-DRB1*09:01  Japan pop 16 0.016018,604
 99  A*31:01-B*48:01-C*03:03-DRB1*09:01  Japan pop 16 0.016018,604
 100  A*31:01-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.016018,604

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 176) records   Pages: 1 2 of 2  


   

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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