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 984) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:07-B*18:01-DRB1*15:02  Malaysia Pahang Semai 11.840038
 2  A*02:01-B*18:01-DRB1*15:01  Malaysia Kedah Kensiu 7.140021
 3  B*18:01-DRB1*15:02:01  Philippines Ivatan 7.000050
 4  A*24:07-B*18:01-DRB1*15:02  Malaysia Kelantan 5.357128
 5  A*11-B*18-DRB1*15:02  Malaysia Sarawak Iban 4.900051
 6  A*11:01-B*18:02-DRB1*15:02  Malaysia Champa 3.448329
 7  A*24-B*18-DRB1*15  Malaysia pop 3 2.90001,445
 8  A*11-B*18-DRB1*15  Malaysia pop 3 2.70001,445
 9  A*11-B*18-DRB1*15:02  Malaysia Sabah Kadazan 2.600057
 10  A*02-B*18-DRB1*15  Malaysia pop 3 2.50001,445
 11  A*25-B*18-DRB1*15:01-DQB1*06:02  Spain Pas Valley 2.200088
 12  A*02:01-B*18:01-DRB1*15:02  Malaysia Patani 2.000025
 13  A*24-B*18-DRB1*15:02  Malaysia Sarawak Iban 2.000051
 14  A*24-B*18-DRB1*15:02  Malaysia Sarawak Bidayuh 2.000050
 15  A*25:01-B*18:01-C*12:03-DRB1*15:01  Russia Bering Island Aleuts 1.9231104
 16  A*24:02-B*18:01-DRB1*15:01  Malaysia Mandailing 1.851927
 17  A*24:02-B*18:01-DRB1*15:04  Malaysia Mandailing 1.851927
 18  A*25-B*18-DRB1*15:01-DQB1*06:02  Russia Chuvash 1.800082
 19  A*03:01-B*18:02-DRB1*15:02  Malaysia Kelantan 1.785728
 20  A*02:07-B*18:01-DRB1*15:02  Malaysia Champa 1.724129
 21  A*11:01-B*18:01-DRB1*15:02  Malaysia Champa 1.724129
 22  A*24:02-B*18:01-DRB1*15:02  Malaysia Champa 1.724129
 23  A*25-B*18-C*12-DRB1*15  Macedonia MBMDR - Albanian 1.5625128
 24  B*18:01:01-DRB1*15:02:01  China Jingpo Minority 1.5620105
 25  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Poland 1.5000200
 26  A*02-B*18-DRB1*15-DQB1*06  Mexico Campeche, Campeche city 1.470634
 27  A*31:01:02-B*18:01:01-C*05:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 28  B*18-DRB1*15  Macedonia 1.3986286
 29  A*25-B*18-DRB1*15-DQA1*01:02-DQB1*06:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 30  A*25:01-B*18:01-C*12:03-DRB1*15:01  Poland DKMS 1.303920,653
 31  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 1.3021192
 32  A*25-B*18-DRB1*15-DQB1*06  Mexico Guanajuato, Leon 1.282178
 33  A*25-B*18-DRB1*15  Russia Moscow Pop 2 1.24002,000
 34  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 1.223923,595
 35  A*25-B*18-DRB1*15:01-DQB1*06:02  Macedonia pop 3 1.2000172
 36  A*25-B*18-DRB1*15:01-DQB1*06:02  Spain North Cantabria 1.200083
 37  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 1.16861,510
 38  A*25-B*18-DRB1*15-DQB1*06  Mexico Coahuila Rural 1.1468216
 39  A*25-B*18-DRB1*15-DQB1*06  Mexico Queretaro, Queretaro city 1.111145
 40  A*25-B*18-DRB1*15  Russia South Ural Tatar 1.1110135
 41  A*02-B*18-DRB1*15  India sub-Himalayan West Bengal Kami 1.1100158
 42  A*02:01:01-B*18:01:01-DRB1*15:01:01  Portugal North 1.100046
 43  A*11:01:01-B*18:01:01-C*15:02:01-DRB1*15:02:01  China Jingpo Minority 1.0420105
 44  A*11:01:01-B*18:01:01-DRB1*15:02:02  China Jingpo Minority 1.0420105
 45  B*18:01:01-C*15:02:01-DRB1*15:02:01  China Jingpo Minority 1.0420105
 46  A*25:01-B*18:01-C*12:03-DRB1*15:01  Germany DKMS - Croatia minority 1.00202,057
 47  A*11:01-B*18:01-DRB1*15:01  Armenia combined Regions 1.0000100
 48  A*11-B*18-DRB1*15  Philippines National Capital Region 1.000051
 49  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Ireland South 1.0000250
 50  B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Ireland South 1.0000250
 51  A*11-B*18-DRB1*15-DQB1*06  Mexico Mexico City South 0.961552
 52  A*24-B*18-C*04-DRB1*15  Myanmar Shan 0.926054
 53  A*24-B*18-C*07-DRB1*15  Myanmar Kayah 0.909055
 54  A*25-B*18-DRB1*15-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 55  A*66-B*18-DRB1*15-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 56  A*25:01-B*18:01-C*12:03-DRB1*15:01  Germany DKMS - Romania minority 0.88801,234
 57  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*23:01  Russia Karelia 0.88421,075
 58  A*25:01-B*18:01-C*12:03-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.86001,028
 59  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.8403119
 60  A*25-B*18-DRB1*15-DQB1*06  Mexico Chihuahua Chihuahua City 0.8403119
 61  A*25-B*18-DRB1*15-DQB1*06  Mexico Veracruz, Orizaba 0.833360
 62  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.83091,075
 63  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02:01  England North West 0.8000298
 64  A*25:01-B*18:01-DRB1*15:01  Israel USSR Jews 0.797045,681
 65  A*68-B*18-C*07-DRB1*15  Macedonia MBMDR - Albanian 0.7812128
 66  A*24-B*18-C*07-DRB1*15  Myanmar Mon 0.781064
 67  A*25-B*18-C*12-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.78004,510
 68  A*32:01-B*18:01-C*12:03-DRB1*15:01-DQB1*03:01  Iran Gorgan 0.780064
 69  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.7757221
 70  A*25-B*18-DRB1*15:01  Colombia Barranquilla 0.7700188
 71  A*24-B*18-DRB1*15  Albania pop 2 0.7300432
 72  A*25:01-B*18:01-C*12:03-DRB1*15:01  Germany DKMS - Portugal minority 0.72101,176
 73  A*25-B*18-C*12-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 74  B*18-C*12-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 75  A*11-B*18-DRB1*15-DQB1*06  Mexico Baja California, La Paz 0.666775
 76  A*30:02-B*18:01-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Puyanawa 0.6667150
 77  A*25-B*18-C*12-DRB1*15  Macedonia MBMDR - Macedonian Muslims 0.657976
 78  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*23:01:01  Russia Belgorod region 0.6536153
 79  A*25-B*18-DRB1*15-DQB1*06  Mexico Mexico City Center 0.6494152
 80  A*34-B*18-DRB1*15-DQB1*06  Mexico Mexico City Center 0.6494152
 81  A*25:01-B*18:01-C*12:03-DRB1*15:01  Germany DKMS - United Kingdom minority 0.64901,043
 82  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01  Nicaragua Mestizo (G) 0.6452155
 83  A*25-B*18-DRB1*15-DQB1*06  Mexico Guanajuato Rural 0.6135162
 84  A*26-B*18-DRB1*15-DQB1*06  Mexico Guanajuato Rural 0.6135162
 85  A*02-B*18-DRB1*15-DQB1*05  Mexico Morelos, Cuernavaca 0.609882
 86  A*25-B*18-DRB1*15-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 87  A*43:01-B*18:01-C*07:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.6000159
 88  A*25-B*18-DRB1*15-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 89  A*33:03:01-B*18:01:01-C*08:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 90  A*24-B*18-DRB1*15-DQB1*06  Mexico Veracruz, Veracruz city 0.5814171
 91  A*25:01-B*18:01-C*12:03-DRB1*15:01  Germany DKMS - France minority 0.54801,406
 92  A*25:01-B*18:01-DRB1*15:01  Croatia pop 4 0.53004,000
 93  A*02:06:01-B*18:01:01-C*07:02:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 94  A*02:06:01-B*18:01:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 95  A*11:01:01-B*18:01:01-C*15:02:01-DRB1*15:02:02  China Jingpo Minority 0.5210105
 96  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.5210496
 97  B*18:01:01-C*07:02:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 98  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.5171221
 99  A*11:01-B*18:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 100  A*25-B*18-DRB1*15-DQB1*06  Mexico Nayarit, Tepic 0.515597

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 984) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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