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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 401 to 500 (from 842) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*02:05-B*58:01-C*07:01-DRB1*10:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 402  A*03:01-B*15:10-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*01:01  Panama 0.1900462
 403  A*03:01-B*35:01-C*17:01-DRB1*10:01-DQB1*03:03-DPB1*01:01  Panama 0.1900462
 404  A*11:01-B*27:03-C*08:02-DRB1*01:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 405  A*23:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 406  A*23:01-B*08:01-C*07:01-DRB1*04:03-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 407  A*23:01-B*14:02-C*08:02-DRB1*03:02-DQB1*02:02-DPB1*01:01  Panama 0.1900462
 408  A*23:01-B*15:03-C*02:02-DRB1*04:05-DQB1*02:02-DPB1*01:01  Panama 0.1900462
 409  A*23:01-B*18:01-C*07:02-DRB1*14:01-DQB1*05:03-DPB1*01:01  Panama 0.1900462
 410  A*23:01-B*51:07-C*14:02-DRB1*09:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 411  A*23:01-B*53:01-C*08:02-DRB1*07:11-DQB1*04:02-DPB1*01:01  Panama 0.1900462
 412  A*24:02-B*07:02-C*04:01-DRB1*15:01-DQB1*06:03-DPB1*01:01  Panama 0.1900462
 413  A*24:02-B*35:01-C*01:02-DRB1*04:11-DQB1*03:01-DPB1*01:01  Panama 0.1900462
 414  A*24:02-B*40:02-C*03:05-DRB1*13:02-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 415  A*24:02-B*53:01-C*14:02-DRB1*15:03-DQB1*03:01-DPB1*01:01  Panama 0.1900462
 416  A*30:01-B*42:02-C*17:01-DRB1*04:03-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 417  A*32:01-B*27:08-C*06:02-DRB1*07:11-DQB1*04:02-DPB1*01:01  Panama 0.1900462
 418  A*33:01-B*15:16-C*14:02-DRB1*08:04-DQB1*03:01-DPB1*01:01  Panama 0.1900462
 419  A*33:01-B*35:01-C*03:02-DRB1*09:01-DQB1*06:02-DPB1*01:01  Panama 0.1900462
 420  A*33:01-B*42:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*01:01  Panama 0.1900462
 421  A*33:01-B*53:01-C*04:01-DRB1*13:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 422  A*34:02-B*15:17-C*05:01-DRB1*11:01-DQB1*06:02-DPB1*01:01  Panama 0.1900462
 423  A*36:01-B*45:01-C*16:01-DRB1*15:03-DQB1*06:02-DPB1*01:01  Panama 0.1900462
 424  A*68:01-B*13:02-C*06:02-DRB1*01:01-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 425  A*74:01-B*15:01-C*01:02-DRB1*04:05-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 426  A*74:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*01:01  Panama 0.1900462
 427  A*24:02-B*07:02-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.16911,075
 428  DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*01:01  Hong Kong Chinese HKBMDR. DQ and DP 0.16681,064
 429  DRB1*13:04-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.1668939
 430  A*01:01-B*08:01-C*03:04-DRB1*07:01-DQB1*02:02-DPB1*01:01  Tanzania Maasai 0.1597336
 431  A*01:01-B*15:03-C*16:04-DRB1*07:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 432  A*01:01-B*42:08-C*07:04-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 433  A*01:01-B*81:01-C*03:33-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 434  A*01:01-B*81:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 435  A*01:01-B*81:01-C*18:01-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 436  A*01:09-B*44:15-C*04:07-DRB1*15:03-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 437  A*02:01-B*15:03-C*02:02-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 438  A*02:01-B*15:03-C*17:01-DRB1*11:01-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 439  A*02:01-B*41:01-C*04:143-DRB1*07:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 440  A*02:01-B*47:03-C*07:01-DRB1*15:03-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 441  A*02:01-B*53:01-C*04:01-DRB1*08:04-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 442  A*02:01-B*53:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 443  A*02:02-B*07:02-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 444  A*02:02-B*58:02-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Tanzania Maasai 0.1597336
 445  A*02:02-B*58:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*01:01  Tanzania Maasai 0.1597336
 446  A*02:05-B*42:01-C*02:10-DRB1*03:02-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 447  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.1597336
 448  A*23:01-B*13:02-C*16:01-DRB1*13:03-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 449  A*23:01-B*49:01-C*06:02-DRB1*14:01-DQB1*05:03-DPB1*01:01  Tanzania Maasai 0.1597336
 450  A*29:01-B*47:01-C*07:04-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 451  A*29:01-B*47:02-C*07:04-DRB1*07:01-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 452  A*29:02-B*18:01-C*17:01-DRB1*04:10-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 453  A*29:02-B*35:87-C*07:02-DRB1*03:02-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 454  A*29:02-B*39:10-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*01:01  Tanzania Maasai 0.1597336
 455  A*30:01-B*15:10-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 456  A*30:01-B*41:01-C*07:01-DRB1*04:05-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 457  A*30:02-B*44:15-C*06:02-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 458  A*30:02-B*45:01-C*16:24-DRB1*01:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 459  A*30:04-B*14:02-C*05:01-DRB1*03:02-DQB1*06:09-DPB1*01:01  Tanzania Maasai 0.1597336
 460  A*30:04-B*39:24-C*07:01-DRB1*13:03-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.1597336
 461  A*30:04-B*41:01-C*07:249-DRB1*04:05-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.1597336
 462  A*30:08-B*41:01-C*07:01-DRB1*04:05-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 463  A*30:09-B*53:01-C*04:01-DRB1*11:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 464  A*30:09-B*58:02-C*06:02-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 465  A*31:06-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 466  A*33:01-B*15:10-C*03:04-DRB1*01:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 467  A*33:03-B*42:01-C*18:01-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.1597336
 468  A*36:01-B*15:10-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 469  A*36:01-B*39:10-C*12:112-DRB1*08:04-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 470  A*36:01-B*53:01-C*04:04-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 471  A*36:01-B*53:01-C*04:04-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 472  A*36:01-B*53:01-C*08:04-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 473  A*36:01-B*81:01-C*04:01-DRB1*15:03-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 474  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 475  A*68:02-B*07:05-C*07:05-DRB1*13:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 476  A*68:02-B*13:02-C*16:01-DRB1*01:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 477  A*68:02-B*13:03-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Tanzania Maasai 0.1597336
 478  A*68:02-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*01:01  Tanzania Maasai 0.1597336
 479  A*68:02-B*15:10-C*03:04-DRB1*10:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 480  A*68:02-B*41:01-C*08:13-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.1597336
 481  A*68:02-B*45:01-C*04:01-DRB1*01:02-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 482  A*74:01-B*07:02-C*03:04-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.1597336
 483  A*74:01-B*07:04-C*07:14-DRB1*15:03-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 484  A*74:01-B*35:01-C*04:01-DRB1*03:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 485  A*74:01-B*35:01-C*07:95-DRB1*01:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 486  A*74:01-B*81:01-C*18:01-DRB1*11:118-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 487  DRB1*13:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.1477939
 488  DRB1*13:01-DQB1*03:02-DPB1*01:01  Gambia pop 3 0.1451939
 489  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*01:01  Sri Lanka Colombo 0.1401714
 490  A*24:02-B*40:06-C*12:04-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*01:01  Sri Lanka Colombo 0.1401714
 491  A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*01:01  Sri Lanka Colombo 0.1401714
 492  A*33:03-B*35:01-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*01:01  Sri Lanka Colombo 0.1401714
 493  A*68:01-B*35:03-C*04:01-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*01:01  Sri Lanka Colombo 0.1401714
 494  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.13881,075
 495  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.13423,456,066
 496  DRB1*13:04-DQB1*03:09-DPB1*01:01  Gambia pop 3 0.1302939
 497  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Russia Karelia 0.12451,075
 498  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.12451,075
 499  A*32:01:01-B*18:01:01-C*05:01:01-DRB1*04:05-DQB1*02:01:01-DPB1*01:01:02  Saudi Arabia pop 6 (G) 0.124228,927
 500  A*32:01:01-B*41:01-C*07:01:01-DRB1*04:05-DQB1*03:02:01-DPB1*01:01:01  Saudi Arabia pop 6 (G) 0.124228,927

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 401 to 500 (from 842) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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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