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 1,591) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  

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  B*57:01-C*06:02  USA Caucasian pop 2 4.0000265
 4  B*57:01-C*06:02  Ireland Northern 3.70001,000
 5  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 3.690411,446
 6  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 3.63482,492
 7  A*01:01-B*57:01-C*06:02  Ireland South 3.5000250
 8  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03  Brazil Puyanawa 3.3333150
 9  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 3.3210271
 10  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
 11  A*01:01:01-B*57:01:01-C*06:02:01  South African Indian population 3.000050
 12  A*01:01:01-B*57:01:01-C*06:02:01  South African Mixed ancestry 3.000050
 13  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02  Tunisia 3.0000100
 14  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 3.0000250
 15  B*57:01-C*06:02  Tunisia 2.5000100
 16  A*01:01:01-B*57:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 2.2987519
 17  A*01:01:01-B*57:01:01-C*06:02-DRB1*07:01  South Africa Caucasians 2.2200102
 18  A*01:01-B*57:01-C*06:02  USA Caucasian pop 2 2.2000265
 19  B*57:01-C*06:02  Uganda Kampala 2.2000161
 20  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
 21  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 2.16055,829
 22  A*01:01:01-B*57:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*03:02  Morocco Atlantic Coast Chaouya 2.100098
 23  A*01:01-B*57:01-C*06:02  Ireland Northern 2.10001,000
 24  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.1000170
 25  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
 26  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
 27  B*57:01-C*06:02  USA Asian pop 2 1.99001,772
 28  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 1.96422,403
 29  A*01:01-B*57:01-C*06:02  Italy pop 5 1.8100975
 30  A*01:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 1.8000298
 31  B*57:01-C*06:02  USA North American Native 1.8000187
 32  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 1.53664,204
 33  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Ireland South 1.5000250
 34  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
 35  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
 36  A*01:01-B*57:01-C*06:02-DRB1*07:01  USA Italy Ancestry 1.4650273
 37  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 1.4370174
 38  A*01:01-B*57:01-C*06:02-DRB1*07:01  Italy pop 5 1.4100975
 39  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 1.36695,849
 40  B*57:01-C*06:02  Italy pop 5 1.3400975
 41  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 1.32701,698
 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*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 1.20401,043
 44  A*01:01-B*57:01-C*06:02  Uganda Kampala 1.2000161
 45  A*02:01-B*57:01-C*06:02  Ireland South 1.2000250
 46  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Ireland South 1.2000250
 47  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
 48  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 1.14101,374
 49  A*02:01:01-B*57:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 1.1377519
 50  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 51  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
 52  B*57:01-C*06:02  USA Hispanic 1.1000234
 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*26:08-B*57:01-C*06:02-DRB1*01:01  Brazil Vale do Ribeira Quilombos 1.0417144
 57  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 1.0135296
 58  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  Poland 1.0000200
 59  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Poland 1.0000200
 60  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.0000250
 61  A*02:06:01-B*57:01:01-C*06:02:01  South African Indian population 1.000050
 62  A*02:11:01-B*57:01:01-C*06:02:01  South African Indian population 1.000050
 63  A*34:01:01-B*57:01:01-C*06:02:01  South African Mixed ancestry 1.000050
 64  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.9600975
 65  A*30:02-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*03:03  United Arab Emirates Abu Dhabi 0.960052
 66  A*01:01-B*57:01-C*06:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.9225271
 67  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
 68  A*01:01-B*57:01-C*06:02-DRB1*01:01-DQB1*05:01  Italy pop 5 0.8800975
 69  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
 70  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.864843,540
 71  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.86432,492
 72  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.8620174
 73  B*57:01-C*06:02  USA Hispanic pop 2 0.85201,999
 74  A*02:01-B*57:01-C*06:02-DRB1*07:01  Poland DKMS 0.844220,653
 75  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
 76  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
 77  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.804843,540
 78  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
 79  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.78801,159
 80  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
 81  A*02:61-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Iran Gorgan 0.780064
 82  A*24:02-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03  Iran Gorgan 0.780064
 83  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
 84  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.75501,772
 85  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.74702,057
 86  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
 87  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.72501,374
 88  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.71981,075
 89  A*01:01-B*57:01-C*06:02-DRB1*07:01  Poland DKMS 0.717620,653
 90  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
 91  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
 92  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.69801,028
 93  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.68901,043
 94  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.68801,234
 95  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.65701,028
 96  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
 97  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
 98  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
 99  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.59401,406
 100  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.58901,698

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 1,591) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  


   

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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