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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*02:06-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 402  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 403  A*24:07:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 404  A*26:01:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 405  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 406  A*68:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 407  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.13891,463
 408  A*24:02-B*40:02-C*03:05-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.13671,463
 409  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.1328751
 410  A*31-B*40:02-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.12791,173
 411  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.12501,999
 412  A*03-B*40:02-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 413  A*11-B*40:02-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 414  A*26-B*40:02-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 415  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA NMDP Black South or Central American 0.10984,889
 416  A*02:22-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.10611,463
 417  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 418  A*02:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.09801,999
 419  A*24:02-B*40:02-C*03:05-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.09511,463
 420  A*24:22-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 421  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 422  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09301,999
 423  A*26-B*40:02-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 424  A*02:17-B*40:02-C*03:05-DRB1*04:11-DRB4*01:01-DQB1*03:02  USA NMDP Hispanic South or Central American 0.0894146,714
 425  A*11:01-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 426  A*11-B*40:02-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 427  A*02:22:01-B*40:02:01-C*03:05-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0792221
 428  A*24:02-B*40:02-C*01:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.06901,463
 429  A*02:01-B*40:02-C*01:10-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 430  A*02:17-B*40:02-C*03:05-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 431  A*31:01-B*40:02-C*01:10-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 432  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 433  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.06204,856
 434  A*11-B*40:02-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.0607824
 435  A*31-B*40:02-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.0607824
 436  A*26:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05651,075
 437  A*26:01-B*40:02-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.05641,075
 438  A*02:13-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.05621,463
 439  A*31:01-B*40:02-C*04:01-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.05201,463
 440  A*11-B*40:02-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.05011,994
 441  A*01:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 442  A*01:01-B*40:02-C*03:05-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 443  A*02:05-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 444  A*02:06-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 445  A*02:06-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 446  A*02:17-B*40:02-C*03:05-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 447  A*03:01-B*40:02-C*03:04-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 448  A*24:02-B*40:02-C*02:02-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 449  A*24:02-B*40:02-C*03:06-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 450  A*29:02-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 451  A*31:01-B*40:02-C*03:05-DRB1*04:17-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 452  A*31:01-B*40:02-C*03:06-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 453  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 454  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA African American pop 4 0.04402,411
 455  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA African American pop 4 0.04402,411
 456  A*25-B*40:02-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.04261,173
 457  A*24:02-B*40:02-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04092,492
 458  A*24:02-B*40:02-C*03:05-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.03441,463
 459  A*02:22-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03441,463
 460  A*02:11-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 461  A*02:13-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 462  A*02:17-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 463  A*02:22-B*40:02-C*04:01-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 464  A*03:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 465  A*03:01-B*40:02-C*04:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 466  A*24:14-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 467  A*30:01-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 468  A*31:02-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 469  A*33:03-B*40:02-C*08:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 470  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 471  A*68:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 472  A*68:01-B*40:02-C*14:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 473  A*68:01-B*40:02-C*16:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 474  A*02:05-B*40:02-C*02:02-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 475  A*29:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03321,463
 476  A*03:01:01:03-B*40:02:01-C*03:04:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 477  A*02:01-B*40:02-C*01:02-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 478  A*02:06-B*40:02-C*03:03-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 479  A*11:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 480  A*24:02-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 481  A*24:02-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 482  A*24:02-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 483  A*24:02-B*40:02-C*03:04-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 484  A*24:02-B*40:02-C*03:04-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 485  A*26:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 486  A*26:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 487  A*26:01-B*40:02-C*03:04-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 488  A*26:01-B*40:02-C*03:04-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 489  A*26:01-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 490  A*26:02-B*40:02-C*03:04-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 491  A*31:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 492  A*31:01-B*40:02-C*03:04-DRB1*04:05-DQA1*03:03-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 493  A*02:01:01-B*40:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 494  A*02:07:01-B*40:02:01-C*03:04:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 495  A*11:01:01-B*40:02:01-C*01:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 496  A*24:02:01-B*40:02:01-C*03:03:01-DRB1*04:05:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 497  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 498  A*24:02:31-B*40:02:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 499  A*26:01:01-B*40:02:01-C*01:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 500  A*26:01:01-B*40:02:01-C*03:03:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734

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 544) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional