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 412) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Japan Central 4.0000371
 2  A*24:02-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 3.722018,604
 3  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 3.522324,582
 4  B*07:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 3.2000485
 5  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 3.19003,078
 6  B*07:02-C*07:02-DRB1*01:01  South Korea pop 3 3.1000485
 7  A*24:02-B*07:02-DRB1*01:01  South Korea pop 3 3.0000485
 8  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 2.9000485
 9  A*24:02-B*07:02-DRB1*01:01  South Korea pop 10 2.73004,128
 10  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 2.257877,584
 11  A*02:01-B*07:02-DRB1*01:01  Azores Central Islands 1.800059
 12  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 1.3158130
 13  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.3072153
 14  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Poland 1.3000200
 15  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01  South Africa Caucasians 1.1100102
 16  A*02:01-B*07:02-DRB1*01:01-DQB1*05:01  Chile Mapuche 0.770066
 17  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 18  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.54001,374
 19  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.53001,772
 20  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.46003,078
 21  A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 22  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 23  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4500356
 24  B*07:02-DRB1*01:01  Italy pop 5 0.4400975
 25  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 26  A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 27  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 28  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 29  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 30  A*29:02-B*07:02-C*02:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 31  A*30:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:03  Kosovo 0.4030124
 32  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.3993221
 33  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.37051,510
 34  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - France minority 0.35901,406
 35  A*34:02:01-B*07:02:01-C*18:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 36  A*31:01-B*07:02-C*17:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 0.3472144
 37  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Austria minority 0.33901,698
 38  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 39  A*03:01-B*07:02-C*07:02-DRB1*01:01  Poland DKMS 0.307120,653
 40  A*11:01-B*07:02-C*07:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.3000298
 41  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.29325,926
 42  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.28451,510
 43  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 44  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Portugal minority 0.27401,176
 45  A*24:02-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Spain minority 0.27101,107
 46  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.26881,075
 47  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.26601,075
 48  A*03:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 49  A*24:02:01:01-B*07:02:01-C*12:03:01:01-DRB1*01:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 50  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 51  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 52  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 53  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.254623,595
 54  A*02:01-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.250018,604
 55  A*02:06-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.250018,604
 56  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.23601,043
 57  A*24:02-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - China minority 0.23401,282
 58  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.23003,078
 59  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 60  A*24:02-B*07:02-C*07:02-DRB1*01:01  Poland DKMS 0.229520,653
 61  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.22741,734
 62  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.22291,510
 63  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Croatia minority 0.21102,057
 64  A*31:01-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.209018,604
 65  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.20601,999
 66  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.20411,510
 67  A*24:02-B*07:02-C*07:02-DRB1*01:01  Italy pop 5 0.2000975
 68  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.20003,078
 69  A*32:01-B*07:02-C*07:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 70  A*26:01-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.198018,604
 71  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 72  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.18701,043
 73  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.18615,926
 74  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 75  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.18301,159
 76  A*02:01-B*07:02-C*07:02-DRB1*01:01  Poland DKMS 0.170420,653
 77  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.16901,999
 78  A*02:01-B*07:02-C*04:01-DRB1*01:01-DQB1*05:01  India Northeast UCBB 0.1689296
 79  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.156123,595
 80  A*68:01-B*07:02-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 81  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.14901,028
 82  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.14853,456,066
 83  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 84  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.139923,595
 85  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.13901,374
 86  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.13811,075
 87  A*24:02-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.13701,028
 88  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Spain minority 0.13601,107
 89  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.1357221
 90  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Romania minority 0.13301,234
 91  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Portugal minority 0.13101,176
 92  A*32:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.13102,411
 93  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.13003,078
 94  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 95  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.12061,075
 96  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.10791,463
 97  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.10404,856
 98  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 99  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.10261,075
 100  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.10003,078

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 412) records   Pages: 1 2 3 4 5 of 5  


   

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