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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 299) records   Pages: 1 2 3 of 3  

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*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 3.690411,446
 4  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 3.63482,492
 5  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03  Brazil Puyanawa 3.3333150
 6  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 3.3210271
 7  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
 8  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 3.0000250
 9  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
 10  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 2.16055,829
 11  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.1000170
 12  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
 13  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
 14  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 1.96422,403
 15  A*01:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 1.8000298
 16  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 1.53664,204
 17  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Ireland South 1.5000250
 18  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
 19  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 1.36695,849
 20  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
 21  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 1.2000250
 22  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
 23  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
 24  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
 25  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 1.0135296
 26  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Poland 1.0000200
 27  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.0000250
 28  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.9600975
 29  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
 30  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.86432,492
 31  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
 32  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
 33  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.804843,540
 34  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
 35  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.78801,159
 36  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
 37  A*02:61-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Iran Gorgan 0.780064
 38  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
 39  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.75501,772
 40  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
 41  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.71981,075
 42  A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.70431,510
 43  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.7003714
 44  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.6303714
 45  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.5980186
 46  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 47  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.576611,446
 48  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.5750174
 49  A*02:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.54331,510
 50  A*02:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.5208192
 51  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.50162,403
 52  A*26:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.499311,499
 53  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 54  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Germany DKMS - German donors 0.49463,456,066
 55  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.4902714
 56  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.4902714
 57  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.46601,159
 58  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP American Indian South or Central America 0.45585,926
 59  A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.4550356
 60  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.4525221
 61  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP American Indian South or Central America 0.45215,926
 62  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.45001,376
 63  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Germany DKMS - German donors 0.43043,456,066
 64  A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 65  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.41622,492
 66  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.37901,376
 67  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 68  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Caribean Indian 0.372914,339
 69  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.37115,829
 70  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Middle Eastern or North Coast of Africa 0.351270,890
 71  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.350611,446
 72  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.32701,999
 73  A*24:02:01-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  Russia Belgorod region 0.3268153
 74  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.319411,499
 75  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Malay 0.3149951
 76  A*03:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*09:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 77  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.30761,463
 78  A*32:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  South Africa Worcester 0.3000159
 79  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.2900975
 80  A*26:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 81  A*02:11:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.2810356
 82  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2801714
 83  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.2801714
 84  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.27704,856
 85  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.27512,403
 86  A*24:11N-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.2688186
 87  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 0.24894,204
 88  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.24201,075
 89  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*02:01  Russia Karelia 0.24151,075
 90  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 91  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQA1*03:01-DQB1*03:03-DPB1*05:01  Nicaragua Managua 0.2165339
 92  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 93  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2101714
 94  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.2101714
 95  A*03:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 96  A*11:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 97  A*24:02-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 98  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.19702,492
 99  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.19572,403
 100  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521

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 299) 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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