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 201 to 300 (from 612) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  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
 202  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
 203  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*14:01  United Arab Emirates Pop 1 0.1915570
 204  A*01:01-B*08:01-C*01:02-DRB1*03:01-DQB1*02:01-DPB1*01:01  Panama 0.1900462
 205  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Panama 0.1900462
 206  A*24:02-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 207  A*33:01-B*08:01-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 208  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
 209  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 210  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 211  A*02:06-B*08:01-C*04:03-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 212  A*26:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 213  A*33:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 214  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.18391,463
 215  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
 216  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
 217  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.18031,376
 218  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.17801,772
 219  A*30:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.175714,339
 220  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.17504,856
 221  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.17301,159
 222  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
 223  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 224  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.1689296
 225  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.16702,411
 226  A*26:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 227  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.16364,204
 228  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
 229  A*02:01-B*08:01-C*07:328-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.1597336
 230  A*02:05-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Tanzania Maasai 0.1597336
 231  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Tanzania Maasai 0.1597336
 232  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.159111,446
 233  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.1577951
 234  A*02:11-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.155911,446
 235  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.15262,492
 236  A*02:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 237  A*30:01-B*08:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 238  A*02:06-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.14774,204
 239  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1475570
 240  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
 241  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
 242  A*30:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.1402570
 243  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.14015,849
 244  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 245  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 246  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 247  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 248  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
 249  A*02:05-B*08:01-C*07:18-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 250  A*11:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 251  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 252  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 253  A*24:07:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 254  A*29:01-B*08:01-C*01:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 255  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.13881,075
 256  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.13752,403
 257  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 258  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 259  A*30:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.13671,463
 260  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.13604,856
 261  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.13542,492
 262  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.13302,403
 263  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
 264  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1328570
 265  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.13151,075
 266  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
 267  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.12804,856
 268  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.12755,829
 269  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Chinese 0.127599,672
 270  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.12451,075
 271  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.12395,849
 272  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
 273  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
 274  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.12081,075
 275  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.119570,890
 276  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
 277  A*02:11-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.11782,492
 278  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.11701,159
 279  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.11531,075
 280  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.11441,075
 281  A*02:11-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.11215,829
 282  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
 283  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.10924,204
 284  A*02:06-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.10875,829
 285  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.103411,446
 286  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.10315,829
 287  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 288  A*33:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 289  A*02:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.10292,492
 290  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10251,463
 291  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.1000570
 292  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.09774,204
 293  A*68:01:01-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) 0.094528,927
 294  A*23:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 295  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 296  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*01:01  United Arab Emirates Pop 1 0.0935570
 297  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*03:01  United Arab Emirates Pop 1 0.0935570
 298  A*23:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0935570
 299  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.09304,856
 300  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.090828,927

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 201 to 300 (from 612) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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