Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 101 to 200 (from 283) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  South Africa Worcester 0.3000159
 102  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.290523,595
 103  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28861,075
 104  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.28301,999
 105  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.26685,926
 106  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.26202,411
 107  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.260750,614
 108  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
 109  A*03:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 110  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.2600496
 111  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
 112  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*03:01-DQB1*02:01-DPB1*03:01  USA San Diego 0.2600496
 113  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.245224,582
 114  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.23601,075
 115  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 116  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 117  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
 118  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.2165339
 119  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.21115,926
 120  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 121  A*03:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 122  A*11:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 123  A*68:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 124  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.19751,376
 125  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
 126  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
 127  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 128  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 129  A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 130  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Panama 0.1900462
 131  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
 132  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 133  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.18391,463
 134  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
 135  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.182823,595
 136  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.18031,376
 137  A*30:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.175714,339
 138  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.17215,926
 139  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 140  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.16702,411
 141  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
 142  A*02:05-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Tanzania Maasai 0.1597336
 143  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Tanzania Maasai 0.1597336
 144  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
 145  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Germany DKMS - German donors 0.14093,456,066
 146  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.13881,075
 147  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 148  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 149  A*30:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.13671,463
 150  A*11:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.132923,595
 151  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.13151,075
 152  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.12804,856
 153  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.12451,075
 154  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.123623,595
 155  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.12311,510
 156  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.12081,075
 157  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
 158  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.11701,159
 159  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.11531,075
 160  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.11441,075
 161  A*25:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.110023,595
 162  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 163  A*33:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 164  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10251,463
 165  A*23:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 166  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 167  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.09304,856
 168  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 169  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.08903,456,066
 170  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.08702,411
 171  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.086328,557
 172  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 173  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.08373,456,066
 174  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.08141,075
 175  A*23:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.080523,595
 176  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.07821,510
 177  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.075623,595
 178  A*03:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.07161,510
 179  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Korean 0.069477,584
 180  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 181  A*34:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 182  A*68:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 183  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.06681,075
 184  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.06451,075
 185  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.06163,456,066
 186  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.05811,075
 187  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.05803,456,066
 188  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05804,856
 189  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01  Russia Karelia 0.05651,075
 190  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Russia Karelia 0.05651,075
 191  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.05601,159
 192  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05581,075
 193  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.05302,411
 194  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.05001,159
 195  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Vietnamese 0.049343,540
 196  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
 197  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04801,159
 198  A*02:22-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 199  A*34:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 200  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*16:01  Germany DKMS - German donors 0.04693,456,066

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 283) records   Pages: 1 2 3 of 3  


   

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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