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 4,257) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*01:01-B*37:01-C*06:02-DRB1*10:01  Poland DKMS 0.194920,653
 702  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 703  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 704  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 705  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 706  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 707  A*11:01:01-B*35:08:01-C*04:01:01-DRB1*10:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 708  A*23:01:01-B*15:16:01-C*03:04:02-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 709  A*24:02:01-B*41:02:01-C*17:03:01-DRB1*10:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 710  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*126:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 711  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 712  A*31:01:02-B*40:01:02-C*16:01:01-DRB1*10:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 713  A*32:01:01-B*27:03-C*02:02:02-DRB1*10:01:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 714  A*02:05:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.194528,927
 715  A*01:01-B*35:08-DRB1*10:01  Israel Ashkenazi Jews pop 3 0.19404,625
 716  A*02:01-B*35:02-C*04:01-DRB1*10:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 717  A*02:05-B*49:01-C*07:01-DRB1*10:01-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 718  A*02:05-B*58:01-C*07:01-DRB1*10:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 719  A*03:01-B*35:01-C*17:01-DRB1*10:01-DQB1*03:03-DPB1*01:01  Panama 0.1900462
 720  A*30:01-B*38:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*05:01  Panama 0.1900462
 721  A*30:01-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01-DPB1*04:01  Panama 0.1900462
 722  A*33:01-B*15:10-C*03:05-DRB1*10:01-DQB1*05:01-DPB1*17:01  Panama 0.1900462
 723  A*66:01-B*14:02-C*08:02-DRB1*10:01-DQB1*03:02-DPB1*17:01  Panama 0.1900462
 724  A*74:01-B*15:16-C*17:01-DRB1*10:01-DQB1*03:01-DPB1*17:01  Panama 0.1900462
 725  DRB1*10:01-DQB1*03:01  Italy pop 5 0.1900975
 726  A*24:02-B*45:01-C*16:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.18701,999
 727  DRB1*10:01-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.1866939
 728  A*01-B*37-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 729  A*01-B*57-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 730  A*02-B*07-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 731  A*02-B*15:29-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 732  A*24-B*37-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 733  A*30-B*42-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 734  A*24-B*45-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.1848539
 735  A*29-B*37-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.1848539
 736  A*32-B*27-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.1848539
 737  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 738  A*01:01-B*35:01-C*04:01-DRB1*10:02-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 739  A*01:01-B*35:05-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 740  A*01:01-B*40:06-C*12:03-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 741  A*01:01-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 742  A*01:01-B*52:01-C*16:02-DRB1*10:02-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 743  A*01:01-B*55:01-C*07:01-DRB1*10:01-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 744  A*02:03-B*51:01-C*06:09-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 745  A*02:06-B*15:02-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 746  A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 747  A*02:11-B*37:01-C*07:01-DRB1*10:01-DQB1*06:04  Malaysia Peninsular Indian 0.1845271
 748  A*02:11-B*51:01-C*15:04-DRB1*10:03-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 749  A*02:11-B*55:01-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 750  A*03:01-B*07:02-C*06:02-DRB1*10:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 751  A*03:01-B*40:04-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 752  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 753  A*11:01-B*40:04-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 754  A*11:01-B*50:01-C*15:02-DRB1*10:01-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 755  A*11:01-B*51:01-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 756  A*11:12-B*51:02-C*16:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 757  A*24:02-B*18:01-C*07:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 758  A*24:02-B*37:14-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 759  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 760  A*30:01-B*07:02-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 761  A*31:01-B*15:18-C*07:04-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 762  A*31:01-B*37:01-C*04:01-DRB1*10:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 763  A*32:01-B*15:08-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 764  A*33:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 765  A*33:03-B*40:01-C*02:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 766  A*33:03-B*44:03-C*07:04-DRB1*10:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 767  A*36:01-B*55:01-C*01:02-DRB1*10:01-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 768  A*68:01-B*37:01-C*07:02-DRB1*10:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 769  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.18394,204
 770  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.18252,492
 771  A*68-B*49-DRB1*10-DQB1*05  Ecuador Andes Mixed Ancestry 0.1820824
 772  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1817833
 773  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.18122,492
 774  A*02:01-B*44:03-DRB1*10:01  Israel USSR Jews 0.181045,681
 775  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.18074,204
 776  A*68-B*35-DRB1*10-DQB1*05  Mexico Tlaxcala Rural 0.1807830
 777  DRB1*10:01-DQB1*05:01-DPB1*04:02  Gambia pop 3 0.1802939
 778  A*02:02-B*51:01-DRB1*10:01  Israel Bukhara Jews 0.18002,317
 779  A*02:17-B*51:01-DRB1*10:01  Israel Iran Jews 0.18008,153
 780  A*01-B*41-DRB1*10-DQB1*05  Mexico Puebla Rural 0.1799833
 781  A*24-B*45-DRB1*10  Brazil Para Cord Blood Unit 0.1796841
 782  A*33:03-B*44:03-C*07:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.17922,492
 783  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.17915,926
 784  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.17884,204
 785  A*26-B*38-DRB1*10  Brazil Para Cord Blood Unit 0.1784841
 786  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Austria minority 0.17701,698
 787  A*03:01-B*15:01-C*03:03-DRB1*10:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.17571,075
 788  A*01-B*08-C*07-DRB1*10  Macedonia 0.1748286
 789  A*01-B*08-DRB1*10  Macedonia 0.1748286
 790  A*02-B*07-C*07-DRB1*10  Macedonia 0.1748286
 791  A*02-B*37-C*06-DRB1*10  Macedonia 0.1748286
 792  A*02-B*37-DRB1*10  Macedonia 0.1748286
 793  A*24-B*18-C*07-DRB1*10  Macedonia 0.1748286
 794  A*24-B*18-DRB1*10  Macedonia 0.1748286
 795  A*24-DRB1*10  Macedonia 0.1748286
 796  A*32-B*35-C*04-DRB1*10  Macedonia 0.1748286
 797  A*32-B*35-DRB1*10  Macedonia 0.1748286
 798  A*32-DRB1*10  Macedonia 0.1748286
 799  B*08-DRB1*10  Macedonia 0.1748286
 800  B*18-DRB1*10  Macedonia 0.1748286

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 4,257) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  


   

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