Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,178) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Tunisia 9.0000100
 2  B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 5.0000250
 3  A*01-B*57-C*06-DRB1*07  Myanmar Mon 3.906064
 4  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 3.690411,446
 5  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 3.63482,492
 6  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03  Brazil Puyanawa 3.3333150
 7  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 3.3210271
 8  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 3.1035186
 9  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02  Tunisia 3.0000100
 10  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 3.0000250
 11  B*57-DRB1*07  Russia South Ural Russian 2.3000207
 12  A*01:01:01-B*57:01:01-C*06:02-DRB1*07:01  South Africa Caucasians 2.2200102
 13  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 2.1760185,391
 14  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 2.16055,829
 15  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.1000170
 16  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 2.0680356
 17  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 2.0110174
 18  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 1.96422,403
 19  A*01:01-B*57:01-DRB1*07:01  Malaysia Mandailing 1.851927
 20  A*01:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 1.8000298
 21  A*01:01-B*57:01-DRB1*07:01  Ireland Northern 1.80001,000
 22  A*29:02-B*57:01-DRB1*07:01  Azores Central Islands 1.800059
 23  A*02:01:01-B*57:01:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 24  A*30:01-B*57:03:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 25  A*02-B*57-C*06-DRB1*07  Myanmar Mon 1.562064
 26  A*02:01-B*57:01-DRB1*07:01-DQB1*03:03  Chile Mapuche 1.540066
 27  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 1.53664,204
 28  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Ireland South 1.5000250
 29  A*01-B*57-DRB1*07  Wales 1.50001,798
 30  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 1.491427,978
 31  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Mexico City West 1.470633
 32  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 33  A*32:01:01-B*57:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 34  A*01:01-B*57:01-C*06:02-DRB1*07:01  USA Italy Ancestry 1.4650273
 35  A*01:01-B*57:01-C*06:02-DRB1*07:01  Italy pop 5 1.4100975
 36  A*01-B*57-DRB1*07  Russia South Ural Russian 1.4000207
 37  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 1.36695,849
 38  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 1.32701,698
 39  A*01:01-B*57:01-DRB1*07:01  Israel Libya Jews 1.31003,739
 40  A*01-B*57-DRB1*07  Portugal Castelo Branco 1.3000327
 41  A*01-B*57-DRB1*07  Azores 1.30001,050
 42  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 1.2605714
 43  A*01-B*57-C*06-DRB1*07  Austria Cord Bloods 1.21001,368
 44  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 1.20401,043
 45  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 1.2000250
 46  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 1.1600215
 47  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 1.14101,374
 48  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1181186
 49  A*24-B*57-DRB1*07-DQB1*02  Mexico Queretaro, Queretaro city 1.111145
 50  A*01-B*57-DRB1*07  Brazil Parana Cafuzo 1.1000319
 51  A*01-B*57-DRB1*07:01  USA NMDP Asian and Pacific Islander 1.1000359,423
 52  A*01-B*57-DRB1*07:01  USA NMDP Caucasian 1.10002,361,208
 53  A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 1.0944186
 54  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 1.07301,406
 55  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  USA San Diego 1.0420496
 56  A*02-B*57-DRB1*07-DQB1*02  Mexico Quintana Roo, Cancun 1.041748
 57  A*68-B*57-DRB1*07-DQB1*02  Mexico Quintana Roo, Cancun 1.041748
 58  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 1.0135296
 59  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  Poland 1.0000200
 60  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Poland 1.0000200
 61  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.0000250
 62  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Baja Californa, Mexicali 1.0000100
 63  A*03:01-B*57:03-C*18:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 1.0000150
 64  A*24:02:01-B*57:03:01-DRB1*07:01:01  Portugal South 1.000049
 65  A*31:01:02-B*57:01:01-DRB1*07:01:01  Portugal South 1.000049
 66  A*66:01-B*57:01:01-DRB1*07:01:01  Portugal Center 1.000050
 67  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.9600975
 68  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 69  A*01-B*57-DRB1*07-DQB1*02  Mexico Durango Rural 0.9174326
 70  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.9040185,391
 71  A*01:01-B*57:01-DRB1*07:01-DQB1*03:03  Iran Yazd 0.892956
 72  A*26-B*57-DRB1*07-DQB1*04  Mexico Veracruz, Coatzacoalcos 0.892955
 73  A*24-B*57-DRB1*07-DQA1*02-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 74  B*57:01-DRB1*07:01  Italy pop 5 0.8900975
 75  A*02:01-B*57:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*03:03:02  Portugal Azores Terceira Island 0.8772130
 76  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.864843,540
 77  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.86432,492
 78  A*02:01-B*57:01-C*06:02-DRB1*07:01  Poland DKMS 0.844220,653
 79  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 80  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP European Caucasian 0.82801,242,890
 81  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.804843,540
 82  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.795623,595
 83  A*30-B*57-DRB1*07-DQB1*03:03  Mexico Tamaulipas Rural 0.7937125
 84  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.78801,159
 85  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP North American Amerindian 0.782335,791
 86  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Nayarit Rural 0.781264
 87  A*11-B*57-C*06-DRB1*07  Myanmar Mon 0.781064
 88  A*02:61-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Iran Gorgan 0.780064
 89  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.7703714
 90  A*01:01-B*57:01-DRB1*07:01-DQB1*03:03  Chile Mapuche 0.770066
 91  A*01:01-B*57:03-DRB1*07:01-DQB1*03:03  Chile Mapuche 0.770066
 92  A*02:01-B*57:03-DRB1*07:01-DQB1*03:01  Chile Mapuche 0.770066
 93  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.75501,772
 94  A*01-B*57-DRB1*07  Russia Moscow Pop 2 0.75002,000
 95  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.74702,057
 96  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.731523,595
 97  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.72501,374
 98  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.71981,075
 99  A*01:01-B*57:01-C*06:02-DRB1*07:01  Poland DKMS 0.717620,653
 100  A*01-B*57-DRB1*07:01  Chile Santiago 0.7103920

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 1,178) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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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