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 462) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01-B*37-C*06:02-DRB1*10:01-DQB1*05  Russia Transbaikal Territory Buryats 2.3340150
 2  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 1.95162,492
 3  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 1.785911,446
 4  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 1.43205,829
 5  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 1.3953185,391
 6  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 1.3514296
 7  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 1.34252,403
 8  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 1.2915271
 9  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 1.27444,204
 10  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 1.2605714
 11  B*37:01-C*06:02-DRB1*10:01  South Korea pop 3 1.2000485
 12  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 1.1490174
 13  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 1.04995,849
 14  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 15  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 16  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 1.034527,978
 17  A*01:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0310105
 18  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.0000485
 19  A*03:01-B*47:01-C*06:02-DRB1*10:01  Russia Bering Island Aleuts 0.9615104
 20  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.9490356
 21  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.923177,584
 22  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.88901,772
 23  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 24  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.5960356
 25  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.5535271
 26  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.54401,282
 27  A*02:11:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 28  A*03:01:01-B*40:06:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 29  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*03:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.5210496
 30  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 31  A*74:03-B*58:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 32  A*24:02:01-B*45:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 33  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 34  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 35  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4210356
 36  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4210356
 37  A*02:01:01-B*15:01:01-C*06:02:01-DRB1*10:01:01-DQA1*01:05:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 38  A*31:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 39  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Amerindians (G) 0.4032125
 40  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.38852,492
 41  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.37902,492
 42  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQB1*03:03  Malaysia Peninsular Indian 0.3690271
 43  A*33:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 44  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.366843,540
 45  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 46  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.310399,672
 47  A*01:01-B*37:01-C*06:02-DRB1*10:01  Italy pop 5 0.3000975
 48  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.29404,856
 49  A*01:01:01-B*37:04:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 50  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 51  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 52  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA NMDP Caribean Indian 0.273914,339
 53  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 54  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 55  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 56  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.242611,446
 57  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - United Kingdom minority 0.24001,043
 58  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.23802,403
 59  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.23301,374
 60  A*01:01-B*37:01-C*06:02-DRB1*10:01  Japan pop 16 0.229018,604
 61  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 62  A*11:01-B*13:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.2165339
 63  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.21505,829
 64  A*01:01-B*37:01-C*06:02-DRB1*10:01  Hong Kong Chinese BMDR 0.20367,595
 65  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Romania minority 0.20301,234
 66  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.202811,446
 67  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.20101,374
 68  A*68:01-B*37:01:01-C*06:02-DRB1*10:01:01-DQB1*05:01:01  England North West 0.2000298
 69  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.199324,582
 70  A*02:01-B*45:01-C*06:02-DRB1*10:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 71  A*01:01-B*37:01-C*06:02-DRB1*10:01  Poland DKMS 0.194920,653
 72  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 73  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 74  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 75  A*02:05:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.194528,927
 76  A*30:01-B*38:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*05:01  Panama 0.1900462
 77  A*03:01-B*07:02-C*06:02-DRB1*10:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 78  A*03:01-B*40:04-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 79  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 80  A*24:02-B*37:14-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 81  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 82  A*30:01-B*07:02-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 83  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.18252,492
 84  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.18122,492
 85  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18074,204
 86  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.17915,926
 87  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Austria minority 0.17701,698
 88  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.17301,734
 89  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.17301,159
 90  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Portugal minority 0.17001,176
 91  A*24:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.16941,075
 92  A*02:05-B*50:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 93  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 94  A*03:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 95  A*32:01:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.166228,927
 96  A*23:01-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*463:01  Tanzania Maasai 0.1597336
 97  A*68:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 98  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.15901,242,890
 99  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.15752,492
 100  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Greece minority 0.15501,894

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 462) records   Pages: 1 2 3 4 5 of 5  


   

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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