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 12,874) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 129  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02:07-B*46:01-C*01:02-DRB1*14:01  China Southwest Dai 5.6000124
 102  DRB1*14:05-DPB1*05:01  Taiwan Atayal pop 2 5.600050
 103  DRB1*14:08-DQB1*05:03  Papua New Guinea Lowland 5.600047
 104  DRB1*14-DQA1*05:01-DQB1*03:01  Mexico Guadalajara Mestizo 5.600054
 105  B*40:01-DRB1*14:01  Taiwan Taroko 5.500055
 106  B*40:01-DRB1*14:01  Taiwan Puyuma 5.500050
 107  B*48:01-DRB1*14:01  Taiwan Pazeh 5.500055
 108  DRB1*14:01-DQA1*01:01/01:04/01:05-DQB1*05:02  Russia Siberia Ulchi 5.500073
 109  A*29:01-B*07:05-DRB1*14:01  Israel Bukhara Jews 5.33002,317
 110  A*02:07-B*46:01-DRB1*14:01  China Guangxi Region Maonan 5.3000108
 111  DRB1*14:04-DQB1*05:03:01-DPB1*04:02  China Lijiang Naxi 5.3000100
 112  DRB1*14:07-DQA1*01:01/01:04-DQB1*05:03  Australia New South Wales Aborigine 5.3000177
 113  A*29-B*41-C*04-DRB1*14  Macedonia MBMDR - Macedonian Muslims 5.263276
 114  A*24:10-B*81:01-DRB1*14:01  Malaysia Pahang Semai 5.260038
 115  A*24:02-B*51:01-C*15:09-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 5.223967
 116  A*02:07-B*46:01-DRB1*14:01  China Southwest Dai 5.2000124
 117  A*11:01-B*35:01-DRB1*14:04  China Yunnan Province Wa 5.1000119
 118  DRB1*14:01-DQB1*05:03  Georgia Caucasus Tbilisi 5.0420119
 119  A*02:01-B*14:02-DRB1*14:01  Mexico Oaxaca Mixtec 5.0000103
 120  A*31:01-B*35:01-C*03:03-DRB1*14:01  China Yunnan Hani 5.0000150
 121  B*40:01-DRB1*14:01  Philippines Ivatan 5.000050
 122  DRB1*14-DQA1*01:01-DQB1*05:03  Belarus Gomel Region 5.0000100
 123  A*11:01-B*46:01-C*01:02-DRB1*14:01  China Yunnan Hani 4.9000150
 124  B*27:05-DRB1*14:02  USA Alaska Yupik 4.9000252
 125  B*40:01-DRB1*14:05  Taiwan Taroko 4.900055
 126  DRB1*14:01-DQA1*01:01  Israel Moroccan Jews 4.9000113
 127  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Oristano 4.900091
 128  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Tempio 4.900091
 129  DRB1*14:01-DQB1*05:03  Mexico Oaxaca Mixtec 4.9000103
 130  A*24:02-B*35:05-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uros 4.8800105
 131  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City South 4.807752
 132  A*02-B*35-DRB1*14:02-DQB1*03:01  Peru Lamas City Lama 4.800083
 133  A*24:02-B*35:05-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uro 4.8000105
 134  DRB1*14:01-DQA1*01:01/01:04/01:05-DQB1*05:03  Russia Siberia Ulchi 4.800073
 135  DRB1*14:01-DQA1*04:01-DQB1*03:01  Russia Siberia Sulamai Ket 4.800022
 136  DRB1*14:02-DQA1*03-DQB1*03:02  Russia Siberia Gvaysugi Udege 4.800025
 137  DRB1*14:05-DPB1*05:01  Taiwan Tsou pop 2 4.800050
 138  A*34:01-B*40:01-DRB1*14:08  New Zealand Polynesians with Full Ancestry 4.762021
 139  A*34:01-B*40:02-DRB1*14:54  New Zealand Polynesians with Full Ancestry 4.762021
 140  A*24:02-B*51:01-DRB1*14:04  Malaysia Kedah Kensiu 4.760021
 141  A*24:07-B*51:01-DRB1*14:04  Malaysia Kedah Kensiu 4.760021
 142  A*02-B*35-DRB1*14-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 4.717052
 143  DRB1*14:03-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Irkutsk Tofalar 4.700043
 144  A*29-B*45-DRB1*14-DQB1*05  Mexico Queretaro Rural 4.651243
 145  DRB1*14:01-DQA1*01:01-DQB1*05:03  Turkey pop 1 4.6000250
 146  A*24-B*35-DRB1*14-DQB1*05  Mexico Guanajuato, Guanajuato city 4.545522
 147  A*02:06-B*27:05-DRB1*14:02-DQB1*03:01  USA Alaska Yupik 4.5000252
 148  A*24:02-B*40:02-DRB1*14:01-DQB1*05:03  USA Alaska Yupik 4.5000252
 149  B*27:04-DRB1*14:01  Taiwan Pazeh 4.500055
 150  DRB1*14:01-DQB1*05:03  Germany pop 3 4.5000111
 151  DRB1*14:03-DQA1*01:03-DQB1*06:02  Russia Siberia Sulamai Ket 4.500022
 152  DRB1*14:03-DQA1*05:01-DQB1*04:02  Russia Siberia Sulamai Ket 4.500022
 153  DRB1*14:06-DQA1*05:01-DQB1*03:01  Mexico Nuevo Leon Mestizo 4.500040
 154  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Puebla Rural 4.4964833
 155  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Poza Rica 4.444445
 156  DRB1*14:01-DQA1*01:01-DQB1*05:03:01  Russia Siberia Chukotka Peninsula Eskimo 4.400080
 157  DRB1*14:02-DQB1*03:01  Mexico Oaxaca Mixtec 4.4000103
 158  A*02-B*15-DRB1*14:02-DQB1*03:01  Bolivia Quechua 4.350069
 159  A*02-B*40:02-DRB1*14-DQB1*03:01  Mexico Tamaulipas, Ciudad Victoria 4.347823
 160  A*24:02-B*40:02-C*03:04-DRB1*14:01  Russia Bering Island Aleuts 4.3269104
 161  A*03-B*38-DRB1*14  Pakistan Kalash 4.300069
 162  DRB1*14:01:01-DQB1*03:02  China Yunnan Province Drung 4.300070
 163  DRB1*14:01-DQA1*04:01-DQB1*03:01  Russia Siberia Chukotka Peninsula Eskimo 4.300080
 164  DRB1*14:03-DQA1*05:01-DQB1*03:01  Russia Siberia Polygus Evenk 4.300035
 165  A*34:01-B*40:02-DRB1*14:08  New Zealand Maori with Admixed History 4.2857105
 166  DRB1*14:01:01-DQB1*05:02:01-DPB1*03:01:01  China Yunnan Province Bai 4.2000128
 167  DRB1*14:01-DQB1*05:02  Papua New Guinea Lowland 4.200047
 168  DRB1*14:03-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Dudinka Nganasan 4.200024
 169  DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 4.1958143
 170  A*02-B*35-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 4.166760
 171  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Quintana Roo, Cancun 4.166748
 172  DRB1*14:02-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Ulchi 4.100073
 173  DRB1*14:02-DQB1*03:01  Mexico Oaxaca Zapotec 4.100090
 174  A*01-B*48-DRB1*14-DQB1*03:01  Mexico Baja California, Tijuana 4.000025
 175  A*02:06-B*35:23-DRB1*14:06  Mexico Oaxaca Mixtec 4.0000103
 176  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Baja California, Tijuana 4.000025
 177  B*27:04-DRB1*14:05  Taiwan Puyuma 4.000050
 178  DRB1*14:01-DQA1*01:01/01:02-DQB1*05:03  Iran Kurd 4.0000100
 179  DRB1*14:01-DQA1*01-DQB1*05:03  Italy Sardinia Cagliari 4.000087
 180  DRB1*14:01-DQB1*05:01  Iran pop 3 4.0000100
 181  B*48:01-DRB1*14:01  Taiwan Paiwan 3.900051
 182  DRB1*14:04-DQB1*05:03  Malaysia 3.900074
 183  DRB1*14:08-DQB1*05:03  Indonesia Moluccan Islands 3.900024
 184  A*02-B*56-C*07-DRB1*14  Myanmar Kachin 3.881063
 185  A*24:02-B*15:01-DRB1*14:02-DQB1*03:01  USA Alaska Yupik 3.8000252
 186  DRB1*14:01-DQA1*05:01-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 3.800092
 187  DRB1*14:02-DQA1*03-DQB1*03:01  Russia Siberia North East Kamchatka Koryak 3.800092
 188  DRB1*14:02-DQA1*05:01-DQB1*03:01  Mexico Highlands Mestizos 3.8000160
 189  DRB1*14-DQA1*01:04-DQB1*05:03  Italy pop 2 3.800053
 190  A*34:01-B*40:01-DRB1*14:08  New Zealand Polynesians with Admixed History 3.704027
 191  A*34:01-B*40:02-DRB1*14:54  New Zealand Polynesians with Admixed History 3.704027
 192  B*27:04-DRB1*14:05  Taiwan Atayal 3.7000106
 193  DRB1*14:01-DQB1*05:01  Israel Arab 3.7000109
 194  A*24:02-B*40:01-DRB1*14:54  Taiwan Tzu Chi Morrow Donor Registry Aborigine 3.6970233
 195  A*24:02:01-B*35:01:01-C*03:04:01-DRB1*14:02  Costa Rica Amerindians (G) 3.6695125
 196  DRB1*14:01-DQB1*05:03  Cretan Islanders 3.6290124
 197  A*02:01-B*48:01-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uro 3.6000105
 198  A*02-B*39-DRB1*14:02-DQB1*03:01  Peru Lamas City Lama 3.600083
 199  B*15:01-DRB1*14:02  USA Alaska Yupik 3.6000252
 200  DRB1*14:01-DQA1*01:01-DQB1*05:02  China Urumqi Kazak 3.600042

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 12,874) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 129  


   

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