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 101 to 200 (from 4,274) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  B*40:01-DRB1*04:03  Taiwan Siraya 2.000051
 102  B*40:01-DRB1*04:03  Taiwan Rukai 2.000050
 103  B*40:01-DRB1*04:03  Taiwan Puyuma 2.000050
 104  B*40:01-DRB1*04:03  Taiwan Saisiat 2.000051
 105  B*40:06-DRB1*04:03  Taiwan Siraya 2.000051
 106  DRB1*04:03/04:06-DQB1*03:02  Malaysia 2.000074
 107  DRB1*04:03-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Amhara 2.000098
 108  DRB1*04:03-DQA1*03:01-DQB1*03:02  India Uttar Pradesh 2.0000202
 109  DRB1*04:03-DQA1*03:01-DQB1*03:02  Greece pop3 2.0000246
 110  DRB1*04:03-DQB1*03:05  Tunisia 2.0000100
 111  A*24:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.9600105
 112  A*24:02-B*56:02-DRB1*04:03  New Zealand Maori with Admixed History 1.9048105
 113  A*24-B*35-DRB1*04:03-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 114  A*11:01-B*27:05-DRB1*04:03  New Zealand Polynesians with Admixed History 1.852027
 115  A*11:01-B*40:10-DRB1*04:03  New Zealand Polynesians with Admixed History 1.852027
 116  A*24:02-B*48:01-DRB1*04:03  New Zealand Polynesians with Admixed History 1.852027
 117  A*26:01-B*40:02-DRB1*04:03  New Zealand Polynesians with Admixed History 1.852027
 118  DRB1*04:03-DQB1*03:02  Cretan Islanders 1.8145124
 119  B*46:01-DRB1*04:03  Taiwan Minnan pop 1 1.8000102
 120  DRB1*04:03-DQB1*03:02  Vietnam HoaBinh Muong 1.800083
 121  DRB1*04:03-DRB4*01-DQB1*03:02  Macedonia pop 2 1.800080
 122  A*30:01-B*51:02-DRB1*04:03  Malaysia Kelantan 1.785728
 123  A*24:02-B*40:01-C*04:01-DRB1*04:03-DQB1*03:02  USA NMDP Hawaiian or other Pacific Islander 1.737511,499
 124  DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 1.71601,999
 125  B*40:01-DRB1*04:03  Taiwan Thao 1.700030
 126  DRB1*04:03/04:04/04:06/04:07/04:08-DQA1*03:01/03:02-DQB1*03:01  England pop 6 1.7000177
 127  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*05:01  South Korea pop 1 1.7000324
 128  DRB1*04:03-DQA1*03:01-DQB1*03:04  Italy Sardinia Cagliari 1.700087
 129  DRB1*04:03-DQA1*03:01-DQB1*03:04  Italy Sardinia Lanusei 1.700087
 130  DRB1*04:03-DQA1*03:01-DQB1*03:05  Italy Sardinia Sassari 1.700091
 131  DRB1*04:03-DQA1*03-DQB1*03:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 132  DRB1*04:03-DQA1*04:01-DQB1*03:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 133  DRB1*04:03-DQB1*03:02-DPB1*05:01  South Korea pop 1 1.7000324
 134  A*02-B*39-DRB1*04:03-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 135  A*02-B*35-DRB1*04:03-DQB1*03:02  Bolivia La Paz Aymaras 1.631087
 136  B*15:01-DRB1*04:03-DQB1*03:02  South Korea pop 3 1.6000485
 137  DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 1.6000160
 138  DRB1*04:03-DQA1*03:01-DQB1*03:04  Italy Sardinia Tempio 1.600091
 139  DRB1*04:03-DQA1*03:01-DQB1*03:04  Italy Sardinia Carbonia 1.600091
 140  DRB1*04:03-DQB1*03:02  Tunisia Gabes Arab 1.600096
 141  DRB1*04:03-DQB1*04:02  Tunisia Gabes Arab 1.600096
 142  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:03:01  Nicaragua Mestizo (G) 1.5852155
 143  A*31:01-B*15:30-DRB1*04:03  Mexico Oaxaca Jamiltepec Mixtec 1.560096
 144  A*02:01-B*35:04-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 145  A*02:01-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.5400105
 146  A*03:01-B*27:05-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 147  A*68:01-B*39:09-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 148  DRB1*04:03-DQA1*03:01-DQB1*03:02  Morocco Souss Region 1.500098
 149  DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 1.5000101
 150  A*31:01-B*35:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 151  A*68:03-B*35:43-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 152  A*01:01-B*18:01-DRB1*04:03  Israel Druze 1.49005,914
 153  DRB1*04:03-DQB1*04:02  Spain Tenerife Island 1.470083
 154  DRB1*04:03-DQB1*05:02  Spain Tenerife Island 1.470083
 155  A*03:02-B*38:01-DRB1*04:03  Israel Georgia Jews 1.46004,471
 156  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
 157  DRB1*04:03-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 1.400035
 158  DRB1*04:03-DQA1*03-DQB1*04:02  Russia Siberia Negidal 1.400035
 159  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 160  A*24:02-B*35:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.3700105
 161  A*02:01-B*18:01-DRB1*04:03  Israel Libya Jews 1.36003,739
 162  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 1.3522833
 163  A*69:01-B*35:08-DRB1*04:03  Israel YemenJews 1.340015,542
 164  A*01:01-B*35:08-DRB1*04:03  Israel Iran Jews 1.33008,153
 165  A*03:01-B*35:03-DRB1*04:03  Azores Oriental Islands 1.300043
 166  A*68:02-B*35:03-DRB1*04:03  Azores Oriental Islands 1.300043
 167  B*15:01-C*04:01-DRB1*04:03  South Korea pop 3 1.3000485
 168  DRB1*04:03:01-DPB1*05:01  Taiwan Orchid Island Yami 1.300050
 169  DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Nuevo Leon Mestizo 1.300040
 170  A*30:04-B*35:08-DRB1*04:03  Gaza 1.282042
 171  A*33:03-B*44:02-DRB1*04:03  Gaza 1.282042
 172  A*69:01-B*35:08-DRB1*04:03  Gaza 1.282042
 173  A*24-B*15-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.200048
 174  A*68:01-B*39:09-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 175  A*68:01-B*40:04-C*03:02/03:04-DRB1*04:03-DQA1*03:01:01-DQB1*03:01-DPA1*02-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 176  DRB1*04:03-DQA1*03-DQB1*03:02  Russia Siberia Irkutsk Tofalar 1.200043
 177  DRB1*04:03-DQB1*04:02  Tunisia Matmata Berber 1.200081
 178  A*02-B*15-DRB1*04:03-DQB1*03:02  Colombia San Basilio de Palenque 1.191042
 179  A*32:01:01-B*42:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 1.1765170
 180  A*02:02-B*51:01-DRB1*04:03  Israel Druze 1.17005,914
 181  DRB1*04:03:01-DQB1*03:02:01  India Mumbai Maratha 1.160091
 182  A*02-B*40-DRB1*04:03-DQB1*03:02  Bolivia La Paz Aymaras 1.149087
 183  A*68-B*14-DRB1*04:03-DQB1*03:02  Bolivia La Paz Aymaras 1.149087
 184  A*24:02:01-B*52:01:01-C*12:02-DRB1*04:03:01  South Africa Caucasians 1.1100102
 185  DRB1*04:03:01-DQB1*03:02  China Inner Mongolia Autonomous Region Northeast 1.1090496
 186  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 1.1070271
 187  A*02:06-B*40:01-DRB1*04:03  New Zealand Maori with Full Ancestry 1.100046
 188  A*24:02-B*55:02-DRB1*04:03  New Zealand Maori with Full Ancestry 1.100046
 189  B*40:02-DRB1*04:03  Taiwan Rukai 1.100050
 190  DRB1*04:03:01-DPB1*05:01  Taiwan Ami pop 2 1.100050
 191  DRB1*04:03:01-DPB1*05:01  Taiwan Han 1.100050
 192  DRB1*04:03:01-DPB1*05:01  Taiwan Atayal pop 2 1.100050
 193  DRB1*04:03-DQA1*03:01-DQB1*03:02  Italy Sardinia Lanusei 1.100087
 194  DRB1*04:03-DQB1*03:02  Italy Sardinia pop2 1.10001,129
 195  DRB1*04:03-DQB1*03:02-DPB1*04:01  Greece pop3 1.1000246
 196  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 197  A*02:06-B*35:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 198  A*24:02-B*35:17-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 199  A*24:02-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 200  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847

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 101 to 200 (from 4,274) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  


   

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