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 101 to 200 (from 3,183) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  DRB1*03:02-DQA1*04:01-DQB1*04:02  Equatorial Guinea Bioko Island Bubi 2.5000100
 102  DRB1*08:01-DQA1*04:01-DQB1*04:02  Russia Northwest Slavic 2.5000200
 103  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 2.4650142
 104  A*02-B*27-DRB1*08:01-DQB1*04:02  Russia Chuvash 2.400082
 105  A*24-B*35-DRB1*08:02-DQB1*04:02  Peru Lamas City Lama 2.400083
 106  DRB1*04:10-DQA1*03:01-DQB1*04:02  Australia New South Wales Aborigine 2.4000177
 107  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 108  DRB1*14:01-DQA1*02:01-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 109  DRB1*14:01-DQA1*03-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 110  DRB1*14:01-DQA1*04:01-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 111  DRB1*14:02-DQA1*03-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 112  DRB1*14:02-DQA1*05:01-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 113  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 2.381084
 114  A*68-B*51-DRB1*03:02-DQB1*04:02  Colombia San Basilio de Palenque 2.381042
 115  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 116  A*24:03:01-B*40:04:01-C*03:04:01-DRB1*13:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 117  A*31:01:02-B*15:04:01-C*03:03:01-DRB1*14:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 118  DRB1*04:05-DQB1*04:02  Papua New Guinea Highland 2.300094
 119  DRB1*04:10-DQB1*04:02  Papua New Guinea Highland 2.300094
 120  DRB1*08:01-DQA1*04:01-DQB1*04:02  Russia Tuva pop3 2.300044
 121  DRB1*08:01-DQA1*04:01-DQB1*04:02  USA San Francisco Caucasian 2.3000220
 122  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Siberia Irkutsk Tofalar 2.300043
 123  DRB1*08:02-DQA1*04:01-DQB1*04:02  Japan pop 2 2.3000916
 124  DRB1*13:01-DQA1*05:01-DQB1*04:02  Russia Siberia Sulamai Ket 2.300022
 125  DRB1*14:03-DQA1*03-DQB1*04:02  Russia Siberia Sulamai Ket 2.300022
 126  A*68-B*35-DRB1*08:02-DQB1*04:02  Bolivia Quechua 2.250069
 127  DRB1*08:01-DQA1*04:01-DQB1*04:02  USA European American 2.21001,899
 128  A*02:01-B*39:01-DRB1*08:11-DQB1*04:02  USA South Dakota Lakota Sioux 2.2000302
 129  A*31:01:02-B*51:01-DRB1*08:11-DQB1*04:02  USA South Dakota Lakota Sioux 2.2000302
 130  DQA1*04:01-DQB1*04:02  Belgium pop 2 2.2000715
 131  DRB1*08:01-DQA1*04:01-DQB1*04:02  Italy Sardinia Sorgono 2.200093
 132  DRB1*08:02-DQB1*04:02  Japan Central 2.2000371
 133  DRB1*08-DQA1*04:01-DQB1*04:02  Czech Republic pop 3 2.2000180
 134  A*02-B*51-DRB1*08:02-DQB1*04:02  Bolivia Quechua 2.170069
 135  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 2.127747
 136  DRB1*08:01-DQA1*04:01-DQB1*04:02  Russia Siberia Dudinka Nganasan 2.100024
 137  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 2.0979143
 138  A*31-B*38-DRB1*04:11-DQB1*04:02  Colombia Wayu from Guajira Peninsula 2.080048
 139  A*24:02:01-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 2.0362221
 140  DRB1*04:10-DQB1*04:02  Japan Hokkaido Ainu 2.000050
 141  DRB1*08:01-DQA1*04:01-DQB1*04:02  Russia Siberia Kushun Buryat 2.000025
 142  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 1.9697330
 143  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02  United Arab Emirates Abu Dhabi 1.920052
 144  DQA1*03-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Kazakh 1.920052
 145  DQA1*04:01-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Kazakh 1.920052
 146  DRB1*04:06-DQA1*03-DQB1*04:02  Algeria pop 2 1.9000106
 147  DRB1*08-DQA1*04:01-DQB1*04:02  Italy pop 2 1.900053
 148  A*68-B*40-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 149  DRB1*03:02-DQB1*04:02-DPB1*01:01  Gambia pop 3 1.8628939
 150  DRB1*04:04-DQA1*03:01/03:02-DQB1*04:02  Ethiopia Oromo 1.800083
 151  DRB1*04:10-DQB1*04:02-DPB1*03:01:01  China Lijiang Naxi 1.8000100
 152  A*02:01-B*48:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 1.7900105
 153  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.7483143
 154  A*24-B*40-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.724087
 155  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 156  B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 157  DQA1*03-DQB1*04:02  Japan Fukuoka 1.700086
 158  DQA1*04:01-DQB1*04:02  India Bombay 1.700059
 159  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 1 1.7000324
 160  DRB1*04:10-DQA1*03:01-DQB1*04:02  Japan pop 2 1.7000916
 161  DRB1*08:01/08:03-DQA1*04:01-DQB1*04:02  England pop 6 1.7000177
 162  DRB1*08:01-DQA1*04:01-DQB1*04:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 163  DRB1*08:02-DQA1*05:01-DQB1*04:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 164  DRB1*08:04-DQB1*04:02  Sweden Northern Sami 1.7000154
 165  A*68:01:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 1.6800105
 166  A*68:02-B*57:03-C*07:01-DRB1*03:02-DQB1*04:02  USA NMDP Caribean Indian 1.668614,339
 167  A*02-B*15-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 168  A*02-B*39-DRB1*14:06-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 169  A*24-B*07-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 170  A*24-B*40-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 171  A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02  USA NMDP Caribean Black 1.601833,328
 172  DRB1*04:03-DQB1*04:02  Tunisia Gabes Arab 1.600096
 173  DRB1*04:10-DQB1*04:02  Japan Central 1.6000371
 174  DRB1*08:01-DQA1*04:01-DQB1*04:02  Mexico Highlands Mestizos 1.6000160
 175  DRB1*08:01-DQA1*04:01-DQB1*04:02  Italy Sardinia Oristano 1.600091
 176  DRB1*08:01-DQA1*04:01-DQB1*04:02  Italy Sardinia Tempio 1.600091
 177  DRB1*08:04-DQA1*04:01-DQB1*04:02  Italy Sardinia Tempio 1.600091
 178  DRB1*10:01-DQA1*04:01-DQB1*04:02  India Northeast Mech 1.600063
 179  DRB1*14:02-DQA1*03-DQB1*04:02  Russia Siberia North East Kamchatka Koryak 1.600092
 180  DRB1*14:02-DQA1*05:01-DQB1*04:02  Russia Siberia North East Kamchatka Koryak 1.600092
 181  DRB1*08:02-DQB1*04:02-DMB*01:03  Ecuadorean Amerindians 1.589175
 182  A*02-B*48-DRB1*08:02-DQB1*04:02  Bolivia Quechua 1.520069
 183  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 1.52002,411
 184  A*68:01-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 1.5152330
 185  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 186  A*02:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 187  A*29:02-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 188  B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 189  DRB1*04:06-DQA1*03:01/03:02-DQB1*04:02  Ethiopia Amhara 1.500098
 190  DRB1*04:10-DQB1*04:02  Mexico Oaxaca Mixtec 1.5000103
 191  DRB1*08:03-DQA1*04:01-DQB1*04:02  Russia Northwest Slavic 1.5000200
 192  A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02  USA NMDP African American pop 2 1.4802416,581
 193  A*01:01:01-B*42:01:01-C*12:03:01-DRB1*03:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 194  A*23:01:01-B*42:01:01-C*08:02:01-DRB1*04:05:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 195  A*30:01:01-B*15:03:01-C*17:01:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Black 1.470668
 196  A*30:02:01-B*57:03:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 197  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 198  DRB1*04:03-DQB1*04:02  Spain Tenerife Island 1.470083
 199  A*68-B*48-DRB1*08:02-DQB1*04:02  Bolivia Quechua 1.450069
 200  DQA1*04:01-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Uyghur 1.410071

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 3,183) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  


   

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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