Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 588) 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-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  A*01:01:01-B*57:01:01-C*06:02-DRB1*07:01  South Africa Caucasians 2.2200102
 12  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
 13  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 2.16055,829
 14  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.1000170
 15  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
 16  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
 17  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 1.96422,403
 18  A*01:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 1.8000298
 19  A*02-B*57-C*06-DRB1*07  Myanmar Mon 1.562064
 20  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 1.53664,204
 21  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Ireland South 1.5000250
 22  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
 23  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
 24  A*01:01-B*57:01-C*06:02-DRB1*07:01  USA Italy Ancestry 1.4650273
 25  A*01:01-B*57:01-C*06:02-DRB1*07:01  Italy pop 5 1.4100975
 26  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 1.36695,849
 27  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 1.32701,698
 28  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
 29  A*01-B*57-C*06-DRB1*07  Austria Cord Bloods 1.21001,368
 30  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 1.20401,043
 31  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 1.2000250
 32  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
 33  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 1.14101,374
 34  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
 35  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
 36  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 1.07301,406
 37  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
 38  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 1.0135296
 39  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  Poland 1.0000200
 40  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Poland 1.0000200
 41  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.0000250
 42  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.9600975
 43  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
 44  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
 45  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.864843,540
 46  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.86432,492
 47  A*02:01-B*57:01-C*06:02-DRB1*07:01  Poland DKMS 0.844220,653
 48  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
 49  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
 50  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.804843,540
 51  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
 52  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.78801,159
 53  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
 54  A*11-B*57-C*06-DRB1*07  Myanmar Mon 0.781064
 55  A*02:61-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Iran Gorgan 0.780064
 56  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
 57  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.75501,772
 58  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.74702,057
 59  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
 60  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.72501,374
 61  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.71981,075
 62  A*01:01-B*57:01-C*06:02-DRB1*07:01  Poland DKMS 0.717620,653
 63  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
 64  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
 65  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.69801,028
 66  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.68901,043
 67  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.68801,234
 68  A*01-B*57-C*06:02-DRB1*07:01-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 69  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.65701,028
 70  A*01-B*57-C*06-DRB1*07-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.65004,510
 71  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
 72  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
 73  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
 74  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.59401,406
 75  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.58901,698
 76  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
 77  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.576611,446
 78  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
 79  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.54601,282
 80  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
 81  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
 82  A*02-B*57-C*06-DRB1*07-DQB1*02  Sudan Khartoum 0.510098
 83  A*24-B*57-C*06-DRB1*07-DQB1*06  Sudan Khartoum 0.510098
 84  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
 85  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.50162,403
 86  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
 87  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 88  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
 89  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
 90  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
 91  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.48501,176
 92  A*03:01-B*57:01-C*06:02-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 93  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.47502,057
 94  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.46601,159
 95  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
 96  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
 97  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
 98  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
 99  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.45001,376
 100  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.45001,376

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 588) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional