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 401 to 500 (from 695) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*25:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.057020,653
 402  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*03:01-DPB1*20:01  Russia Karelia 0.05641,075
 403  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05631,075
 404  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.05625,849
 405  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05591,075
 406  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Russia Karelia 0.05581,075
 407  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.05535,829
 408  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.05401,463
 409  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.05392,403
 410  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.053677,584
 411  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.05301,698
 412  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.05285,849
 413  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.05133,456,066
 414  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.05042,492
 415  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.05032,492
 416  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.05001,999
 417  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0499221
 418  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.04972,492
 419  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.049411,446
 420  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.04945,849
 421  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.04935,849
 422  A*23:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 423  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.048343,540
 424  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04801,772
 425  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 426  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 427  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 428  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 429  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 430  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.04705,829
 431  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 432  A*66:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 433  A*11:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 0.04601,107
 434  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Croatia minority 0.04602,057
 435  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.045823,595
 436  A*68:01:01:02-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.04551,510
 437  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Germany DKMS - German donors 0.04543,456,066
 438  A*02:17-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 0.04501,107
 439  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  Germany DKMS - Turkey minority 0.04504,856
 440  A*11:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.04501,406
 441  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.044423,595
 442  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 443  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 444  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 445  A*32:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.043920,653
 446  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.04372,403
 447  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 448  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.04265,849
 449  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Filipino 0.042450,614
 450  A*24:02-B*07:02-C*07:02-DRB1*15:01  Japan pop 16 0.042018,604
 451  A*26:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.04201,374
 452  A*68:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.04201,374
 453  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.04133,456,066
 454  A*02:11-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.04104,204
 455  A*68:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 0.04101,234
 456  A*31:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.04011,510
 457  A*01:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.04001,282
 458  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.03942,492
 459  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.03923,456,066
 460  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.03912,492
 461  A*26:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 462  A*02:11-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.03855,849
 463  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Greece minority 0.03801,894
 464  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.03795,829
 465  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.03765,829
 466  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03731,510
 467  A*30:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.03701,406
 468  A*03:01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03601,510
 469  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.03604,204
 470  A*23:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 471  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 472  A*33:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 473  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03571,463
 474  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.03555,829
 475  A*03:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03531,510
 476  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.035123,595
 477  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.03513,456,066
 478  A*68:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.035120,653
 479  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India North UCBB 0.03425,849
 480  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:13  Colombia Bogotá Cord Blood 0.03421,463
 481  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 482  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 483  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 484  A*03:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 485  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  Germany DKMS - Turkey minority 0.03404,856
 486  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 487  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 488  A*30:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 489  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 490  A*69:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 491  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Germany DKMS - German donors 0.03393,456,066
 492  A*02:06:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 493  A*30:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 494  A*33:03:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 495  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.032977,584
 496  A*26:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.03201,698
 497  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03104,856
 498  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.030799,672
 499  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.03063,456,066
 500  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.03065,829

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 401 to 500 (from 695) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional