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 507) records   Pages: 1 2 3 4 5 6 of 6  

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*02:02  Tunisia 3.0000100
 9  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 3.0000250
 10  A*01:01:01-B*57:01:01-C*06:02-DRB1*07:01  South Africa Caucasians 2.2200102
 11  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
 12  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 2.16055,829
 13  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.1000170
 14  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
 15  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
 16  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 1.96422,403
 17  A*01:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 1.8000298
 18  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 1.53664,204
 19  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Ireland South 1.5000250
 20  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
 21  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
 22  A*01:01-B*57:01-C*06:02-DRB1*07:01  USA Italy Ancestry 1.4650273
 23  A*01:01-B*57:01-C*06:02-DRB1*07:01  Italy pop 5 1.4100975
 24  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 1.36695,849
 25  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 1.32701,698
 26  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
 27  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 1.20401,043
 28  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 1.2000250
 29  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
 30  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 1.14101,374
 31  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
 32  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
 33  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 1.07301,406
 34  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
 35  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 1.0135296
 36  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  Poland 1.0000200
 37  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Poland 1.0000200
 38  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.0000250
 39  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.9600975
 40  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
 41  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
 42  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.864843,540
 43  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.86432,492
 44  A*02:01-B*57:01-C*06:02-DRB1*07:01  Poland DKMS 0.844220,653
 45  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
 46  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
 47  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.804843,540
 48  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
 49  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.78801,159
 50  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
 51  A*02:61-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Iran Gorgan 0.780064
 52  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
 53  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.75501,772
 54  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.74702,057
 55  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
 56  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.72501,374
 57  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.71981,075
 58  A*01:01-B*57:01-C*06:02-DRB1*07:01  Poland DKMS 0.717620,653
 59  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
 60  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
 61  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.69801,028
 62  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.68901,043
 63  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.68801,234
 64  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.65701,028
 65  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.633527,978
 66  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
 67  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
 68  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.59401,406
 69  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.58901,698
 70  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
 71  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.576611,446
 72  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
 73  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.54601,282
 74  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
 75  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
 76  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.50645,926
 77  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.50162,403
 78  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
 79  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 80  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
 81  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
 82  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
 83  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.48501,176
 84  A*03:01-B*57:01-C*06:02-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 85  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.47502,057
 86  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.46601,159
 87  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
 88  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
 89  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
 90  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
 91  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.45001,376
 92  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.45001,376
 93  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.44601,107
 94  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.43501,234
 95  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
 96  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
 97  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.41622,492
 98  A*03:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.40101,374
 99  A*02:01-B*57:01-C*06:02-DRB1*07:01  Italy pop 5 0.4000975
 100  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.37901,376

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 507) records   Pages: 1 2 3 4 5 6 of 6  


   

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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