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 : 
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Displaying 101 to 200 (from 573) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.245224,582
 102  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Korean 0.069477,584
 103  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP European Caucasian 6.52581,242,890
 104  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 1.6528115,374
 105  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Black 0.748133,328
 106  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 4.576235,791
 107  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African American pop 2 1.1238416,581
 108  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557
 109  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 110  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.13604,856
 111  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.15262,492
 112  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.35055,849
 113  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.13752,403
 114  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.32274,204
 115  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.43835,829
 116  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.238711,446
 117  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 118  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 119  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.17801,772
 120  A*01:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.030611,446
 121  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 122  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 123  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 2.272788
 124  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 1.0606330
 125  A*01:02-B*08:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 2.061997
 126  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 127  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.55551,510
 128  A*02:01:01:01-B*08:01:01-C*07:01:08-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 129  A*02:01:01-B*08:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 130  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.502623,595
 131  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 2.7900215
 132  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 133  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 134  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 135  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.024823,595
 136  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.130428,927
 137  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.192528,927
 138  A*02:01-B*08:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.006811,446
 139  A*02:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 140  A*02:01-B*08:01-C*04:10-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 141  A*02:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.05201,999
 142  A*02:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 1.7000298
 143  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 144  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 145  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.18391,463
 146  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.12804,856
 147  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.50901,159
 148  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.3700975
 149  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.6993143
 150  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.61604,335
 151  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.28301,999
 152  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.16702,411
 153  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 0.19554,889
 154  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.63765,926
 155  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.82881,376
 156  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.183711,499
 157  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.19563,456,066
 158  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Panama 0.1900462
 159  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.23601,075
 160  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.04453,456,066
 161  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.04883,456,066
 162  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.18803,456,066
 163  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.04193,456,066
 164  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.06451,075
 165  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Germany DKMS - German donors 0.01023,456,066
 166  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.029150,614
 167  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Korean 0.000003077,584
 168  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.044024,582
 169  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.1630115,374
 170  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP European Caucasian 0.86401,242,890
 171  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Black 0.118133,328
 172  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.588035,791
 173  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.086328,557
 174  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.2238146,714
 175  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Vietnamese 0.001443,540
 176  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Chinese 0.002599,672
 177  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.3134261,235
 178  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.361970,890
 179  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0002980185,391
 180  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African American pop 2 0.1433416,581
 181  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 182  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.09004,856
 183  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 184  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.06075,829
 185  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.015611,446
 186  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.04204,204
 187  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02312,403
 188  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.12395,849
 189  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 190  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 191  A*02:01-B*08:01-C*07:328-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.1597336
 192  A*02:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.012611,446
 193  A*02:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 194  A*02:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.10292,492
 195  A*02:01-B*08:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 2.310066
 196  A*02:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 197  A*02:05:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 198  A*02:05-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Tanzania Maasai 0.1597336
 199  A*02:05-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*105:01  Tanzania Maasai 0.3195336
 200  A*02:05-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856

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 573) records   Pages: 1 2 3 4 5 6 of 6  


   

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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