Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 384) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*40:02-C*03:03  Taiwan Siraya 13.700051
 2  B*40:02-C*03:03  Taiwan Rukai 13.000050
 3  B*40:02-C*03:03  Taiwan Paiwan 9.800051
 4  B*40:02-C*03:03  Taiwan Tsou 8.800051
 5  B*40:02-C*03:03  Taiwan Tao 8.000050
 6  B*40:02-C*03:03  Taiwan Taroko 7.300055
 7  B*40:02-C*03:03  Taiwan Puyuma 6.000050
 8  B*40:02-C*03:03  Taiwan Ami 3.600098
 9  B*40:02-C*03:03  Philippines Ivatan 3.000050
 10  A*02:06:01-B*40:02:01-C*03:03:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*05:01  China Yunnan Province Lisu 2.5000111
 11  B*40:02-C*03:03  Taiwan Bunun 2.5000101
 12  B*40:02-C*03:03  Taiwan Atayal 1.9000106
 13  B*40:02-C*03:03  Taiwan Pazeh 1.800055
 14  B*40:02-C*03:03  Taiwan Minnan pop 1 1.5000102
 15  B*40:01:01-C*03:03:01  China Jingpo Minority 1.4710105
 16  B*40:01:01-C*03:03:01-DRB1*15:02:01  China Jingpo Minority 1.0420105
 17  A*02-B*40-C*03:03  South Korea pop 1 1.0000324
 18  A*68:06-B*40:03-C*03:03-DRB1*14:02-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 19  A*02:03:01-B*40:01:01-C*03:03:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 20  A*24:02:01-B*40:01:01-C*03:03:01-DRB1*15:04  China Jingpo Minority 0.5210105
 21  A*33:03:01-B*40:01:01-C*03:03:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 22  B*40:01:01-C*03:03:01-DRB1*15:04  China Jingpo Minority 0.5210105
 23  A*02:03-B*40:01-C*03:03-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.5012296
 24  A*02:03:01-B*40:01:01-C*03:03:01  China Jingpo Minority 0.4950105
 25  A*11:01:01-B*40:01:02-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01  Vietnam Kinh 0.4950101
 26  A*24:02:01-B*40:01:01-C*03:03:01  China Jingpo Minority 0.4950105
 27  A*24:02:01-B*40:01:02-C*03:03:01-DRB1*16:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 28  A*33:03:01-B*40:01:01-C*03:03:01  China Jingpo Minority 0.4950105
 29  A*02:01-B*40:02-C*03:03-DRB1*04:01  Russia Bering Island Aleuts 0.4808104
 30  A*02:01-B*40:02-C*03:03-DRB1*09:01  Russia Bering Island Aleuts 0.4808104
 31  B*40:02-C*03:03  USA Asian pop 2 0.39201,772
 32  A*24:02-B*40:06-C*03:03-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.3378296
 33  A*24-B*40-C*03:03-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 34  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
 35  A*02:01-B*40:01-C*03:03-DRB1*11:01-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 36  A*11:01-B*40:01-C*03:03-DRB1*04:05-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 37  A*11:01-B*40:02-C*03:03-DRB1*04:03-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 38  A*11:01-B*40:04-C*03:03-DRB1*14:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 39  A*24:02-B*40:01-C*03:03-DRB1*08:03-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 40  A*24:02-B*40:02-C*03:03-DRB1*04:01-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 41  A*26:01-B*40:06-C*03:03-DRB1*09:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 42  A*11:01-B*40:01-C*03:03-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1745296
 43  A*02:01:01-B*40:01:02-C*03:03:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 44  A*03:01:01-B*40:01:02-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 45  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
 46  B*40:01-C*03:03  USA Asian pop 2 0.13901,772
 47  A*24:02-B*40:02-C*03:03-DRB1*09:01  Japan pop 16 0.136018,604
 48  A*11:01-B*40:02-C*03:03-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.12401,772
 49  A*02:01-B*40:02-C*03:03-DRB1*09:01  Germany DKMS - China minority 0.11701,282
 50  A*24:02-B*40:01-C*03:03-DRB1*08:03  Germany DKMS - China minority 0.11701,282
 51  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
 52  B*40:01-C*03:03  Italy pop 5 0.1100975
 53  A*02:06-B*40:02-C*03:03-DRB1*07:01  Italy pop 5 0.1000975
 54  A*24:02-B*40:02-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 55  A*11:01-B*40:02-C*03:03-DRB1*12:01  Germany DKMS - China minority 0.07801,282
 56  A*24:02-B*40:02-C*03:03-DRB1*14:05  Japan pop 16 0.078018,604
 57  A*32:01-B*40:06-C*03:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 58  A*24:02-B*40:02-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 59  A*24:02-B*40:02-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.07003,078
 60  A*02:01-B*40:02-C*03:03-DRB1*14:05  Japan pop 16 0.068018,604
 61  A*11:01:01:01-B*40:01:02-C*03:03:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 62  A*24:02:01-B*40:02:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.06541,734
 63  A*02:11-B*40:02-C*03:03-DRB1*15:02-DQB1*05:03  India North UCBB 0.05985,849
 64  B*40:06-C*03:03  USA Asian pop 2 0.05801,772
 65  A*02:01:01-B*40:02:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01  China Zhejiang Han 0.05771,734
 66  A*24:02-B*40:02-C*03:03-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.05301,772
 67  A*11:01-B*40:01-C*03:03-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 68  A*02:01-B*40:01-C*03:03-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 69  A*03:01-B*40:02-C*03:03-DRB1*13:02  Germany DKMS - United Kingdom minority 0.04801,043
 70  A*02:11-B*40:02-C*03:03-DRB1*15:02-DQB1*05:03  India Central UCBB 0.04764,204
 71  A*31:01-B*40:02-C*03:03-DRB1*09:01  Japan pop 16 0.047018,604
 72  A*02:03-B*40:01-C*03:03-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 73  A*02:10-B*40:02-C*03:03-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.04401,772
 74  A*24:02-B*40:02-C*03:03-DRB1*04:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 75  A*24:02-B*40:02-C*03:03-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 76  A*26:02-B*40:06-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 77  A*33:03-B*40:01-C*03:03-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 78  A*02:01-B*40:02-C*03:03-DRB1*15:01  Japan pop 16 0.042018,604
 79  A*24:02-B*40:02-C*03:03-DRB1*15:01  Japan pop 16 0.042018,604
 80  A*11:01:01-B*40:02:01-C*03:03:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.04191,734
 81  A*02:01-B*40:02-C*03:03-DRB1*14:05  Germany DKMS - China minority 0.03901,282
 82  A*02:01-B*40:02-C*03:03-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 83  A*02:01-B*40:03-C*03:03-DRB1*12:02  Germany DKMS - China minority 0.03901,282
 84  A*02:06-B*40:06-C*03:03-DRB1*11:28  Germany DKMS - China minority 0.03901,282
 85  A*02:07-B*40:02-C*03:03-DRB1*08:03  Germany DKMS - China minority 0.03901,282
 86  A*11:02-B*40:02-C*03:03-DRB1*12:01  Germany DKMS - China minority 0.03901,282
 87  A*24:02-B*40:02-C*03:03-DRB1*04:03  Germany DKMS - China minority 0.03901,282
 88  A*24:07-B*40:01-C*03:03-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 89  A*25:01-B*40:01-C*03:03-DRB1*07:01  Germany DKMS - China minority 0.03901,282
 90  A*26:01-B*40:02-C*03:03-DRB1*09:01  Japan pop 16 0.037018,604
 91  A*24:02:01-B*40:02:01-C*03:03:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.03681,734
 92  A*24:02-B*40:02-C*03:03-DRB1*12:01  Hong Kong Chinese BMDR 0.03647,595
 93  A*03:01-B*40:01-C*03:03-DRB1*11:01  Germany DKMS - France minority 0.03601,406
 94  A*24:02-B*40:01-C*03:03-DRB1*09:01  Germany DKMS - Netherlands minority 0.03601,374
 95  A*32:01-B*40:02-C*03:03-DRB1*04:02  Germany DKMS - France minority 0.03601,406
 96  A*11:01-B*40:02-C*03:03-DRB1*09:01  Hong Kong Chinese BMDR 0.03567,595
 97  A*02:11-B*40:02-C*03:03-DRB1*15:02-DQB1*05:03  India South UCBB 0.034911,446
 98  A*02:01-B*40:02-C*03:03-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 99  A*02:01-B*40:02-C*03:03-DRB1*11:01  Hong Kong Chinese BMDR 0.03337,595
 100  A*24:02:01:01-B*40:02:01-C*03:03:01-DRB1*11:03-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510

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 384) records   Pages: 1 2 3 4 of 4  


   

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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