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 701 to 800 (from 2,463) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 25  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 702  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 703  A*24:03:01-B*38:01:01-C*07:01:01-DRB1*13:05:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 704  A*26:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 705  A*29:02:01-B*44:03:01-C*02:10:01-DRB1*08:04:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 706  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 707  A*30:01:01-B*18:01:01-C*02:10:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 708  A*30:02:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:04  Brazil Rio de Janeiro Caucasian 0.1946521
 709  A*31:01:02-B*15:03:01-C*12:02:02-DRB1*15:02:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 710  A*31:01:02-B*35:20:01-C*04:01:01-DRB1*16:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 711  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 712  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 713  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 714  A*33:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 715  A*66:01:01-B*07:02:01-C*15:05:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 716  A*68:01:01-B*38:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 717  A*68:01:01-B*51:75-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 718  A*68:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 719  A*68:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 720  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 721  A*68:02:01-B*55:01:01-C*18:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 722  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1945833
 723  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1936833
 724  A*02:01:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.193528,927
 725  DRB1*15:02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1920496
 726  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.19061,075
 727  A*01:01-B*57:01-C*07:01-DRB1*07:01-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 728  A*01:01-B*58:01-C*07:01-DRB1*04:05-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 729  A*02:01-B*07:02-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 730  A*02:01-B*14:01-C*08:02-DRB1*07:01-DQB1*06:03-DPB1*02:01  Panama 0.1900462
 731  A*02:01-B*18:01-C*05:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 732  A*02:01-B*35:02-C*04:01-DRB1*10:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 733  A*02:01-B*39:05-C*07:02-DRB1*11:01-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 734  A*02:01-B*44:02-C*05:01-DRB1*12:01-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 735  A*02:01-B*45:01-C*16:01-DRB1*13:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 736  A*02:01-B*46:01-C*01:02-DRB1*15:03-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 737  A*02:02-B*07:02-C*03:04-DRB1*15:03-DQB1*05:02-DPB1*02:01  Panama 0.1900462
 738  A*02:02-B*35:43-C*14:02-DRB1*04:07-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 739  A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 740  A*02:02-B*51:01-C*16:01-DRB1*13:02-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 741  A*02:02-B*57:01-C*06:02-DRB1*04:05-DQB1*06:03-DPB1*02:01  Panama 0.1900462
 742  A*02:05-B*49:01-C*07:01-DRB1*10:01-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 743  A*03:01-B*35:01-C*04:01-DRB1*14:05-DQB1*05:03-DPB1*02:01  Panama 0.1900462
 744  A*03:01-B*35:43-C*01:02-DRB1*11:03-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 745  A*03:01-B*44:02-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 746  A*11:01-B*35:01-C*04:01-DRB1*15:03-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 747  A*11:01-B*35:01-C*06:02-DRB1*04:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 748  A*11:01-B*35:03-C*07:02-DRB1*04:03-DQB1*06:03-DPB1*02:01  Panama 0.1900462
 749  A*11:01-B*44:02-C*05:01-DRB1*08:01-DQB1*04:02-DPB1*02:01  Panama 0.1900462
 750  A*23:01-B*07:02-C*03:04-DRB1*07:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 751  A*23:01-B*35:08-C*04:01-DRB1*04:03-DQB1*05:02-DPB1*02:01  Panama 0.1900462
 752  A*23:01-B*44:03-C*02:02-DRB1*11:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 753  A*24:02-B*35:02-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 754  A*24:02-B*35:03-C*04:01-DRB1*16:01-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 755  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 756  A*29:02-B*44:02-C*16:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 757  A*30:01-B*44:02-C*05:01-DRB1*04:02-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 758  A*30:01-B*44:03-C*01:02-DRB1*15:03-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 759  A*30:02-B*44:03-C*07:01-DRB1*13:02-DQB1*06:05-DPB1*02:01  Panama 0.1900462
 760  A*30:02-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 761  A*31:01-B*07:05-C*03:04-DRB1*14:02-DQB1*06:04-DPB1*02:01  Panama 0.1900462
 762  A*31:01-B*35:03-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 763  A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 764  A*31:01-B*51:01-C*04:01-DRB1*13:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 765  A*32:01-B*15:17-C*07:01-DRB1*11:01-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 766  A*33:01-B*14:02-C*05:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 767  A*33:01-B*39:11-C*16:01-DRB1*14:02-DQB1*06:09-DPB1*02:01  Panama 0.1900462
 768  A*33:01-B*52:01-C*15:05-DRB1*04:11-DQB1*06:09-DPB1*02:01  Panama 0.1900462
 769  A*33:01-B*58:01-C*03:02-DRB1*04:04-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 770  A*34:02-B*35:01-C*16:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 771  A*68:01-B*15:03-C*02:10-DRB1*13:02-DQB1*03:03-DPB1*02:01  Panama 0.1900462
 772  A*68:01-B*35:02-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 773  A*68:01-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 774  A*68:01-B*40:02-C*12:02-DRB1*04:07-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 775  A*68:01-B*44:02-C*05:01-DRB1*12:01-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 776  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 777  A*68:02-B*49:01-C*07:01-DRB1*04:05-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 778  A*68:02-B*58:01-C*07:01-DRB1*15:03-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 779  A*68:03-B*14:02-C*08:02-DRB1*11:02-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 780  A*68:06-B*38:01-C*02:02-DRB1*01:02-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 781  A*68:07-B*44:02-C*05:01-DRB1*08:02-DQB1*04:02-DPB1*02:01  Panama 0.1900462
 782  A*74:01-B*42:01-C*17:01-DRB1*03:02-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 783  A*80:01-B*07:05-C*02:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 784  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1894833
 785  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1889833
 786  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:02-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.187528,927
 787  DRB1*10:01-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.1866939
 788  DRB1*13:04-DQB1*03:19-DPB1*02:01  Gambia pop 3 0.1866939
 789  DQA1*01:01-DQB1*05:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.18451,064
 790  A*31:01:02-B*35:08-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.180228,927
 791  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1801833
 792  DRB1*13:04-DQB1*06:02-DPB1*02:01  Gambia pop 3 0.1781939
 793  A*03:01-B*15:01-C*03:03-DRB1*10:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.17571,075
 794  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.17433,456,066
 795  DRB1*11:01-DQB1*03:19-DPB1*02:01  Gambia pop 3 0.1741939
 796  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1725833
 797  DRB1*04:05:01-DQB1*04:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1720496
 798  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17191,064
 799  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.17125,266
 800  A*01:01-B*27:05-C*02:02-DRB1*12:02-DQB1*03:01-DPB1*02:01  Russia Karelia 0.16941,075

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 701 to 800 (from 2,463) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 25  


   

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