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 601 to 700 (from 963) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*24:07-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492
 602  A*29:01-B*15:02-C*08:01-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492
 603  A*30:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492
 604  A*33:03-B*35:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492
 605  A*68:01-B*51:01-C*07:01-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492
 606  A*01:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02004,856
 607  A*26:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.01942,492
 608  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Mexican or Chicano 0.0189261,235
 609  A*01:01-B*08:01-C*07:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01855,849
 610  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09-DPB1*04:01  Germany DKMS - German donors 0.01853,456,066
 611  A*02:11-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.01835,829
 612  A*01:01-B*37:01-C*06:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01825,849
 613  A*02:01-B*39:06-C*12:03-DRB1*13:02-DQB1*06:09  India West UCBB 0.01725,829
 614  A*03:01-B*35:03-C*12:03-DRB1*13:02-DQB1*06:09  India West UCBB 0.01725,829
 615  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:09  India West UCBB 0.01725,829
 616  A*24:02-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09  India West UCBB 0.01725,829
 617  A*26:01-B*45:01-C*16:01-DRB1*13:02-DQB1*06:09  India West UCBB 0.01725,829
 618  A*33:03-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.01725,829
 619  A*33:03-B*57:01-C*06:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.01725,829
 620  A*01:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01715,849
 621  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01715,849
 622  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01684,204
 623  A*01:01-B*57:01-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.016311,446
 624  A*11:01-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.016311,446
 625  A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*04:01  Germany DKMS - German donors 0.01623,456,066
 626  A*31:01:02-B*35:10-C*04:01:01-DRB1*04:17:02-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0151221
 627  A*29:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01444,204
 628  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0143221
 629  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.014223,595
 630  A*11:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.01385,829
 631  A*24:02-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.013511,446
 632  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.01355,829
 633  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.01342,403
 634  A*68:01-B*15:18-C*07:04-DRB1*13:02-DQB1*06:09  India South UCBB 0.013311,446
 635  A*02:01-B*15:18-C*07:04-DRB1*13:02-DQB1*06:09  India South UCBB 0.013111,446
 636  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.013111,446
 637  A*24:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.012911,446
 638  A*24:02-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01285,849
 639  A*29:01-B*07:05-C*15:05-DRB1*13:02-DQB1*06:09  India South UCBB 0.012611,446
 640  A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.012023,595
 641  A*03:01-B*39:01-C*12:03-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.01201,999
 642  A*03:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.01201,999
 643  A*24:05-B*39:01-C*12:03-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.01201,999
 644  A*24:05-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.01201,999
 645  A*01:01-B*15:02-C*08:01-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 646  A*01:01-B*51:01-C*06:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 647  A*02:01-B*39:06-C*12:03-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 648  A*02:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 649  A*02:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 650  A*02:05-B*44:03-C*07:01-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 651  A*02:06-B*39:01-C*12:03-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 652  A*02:06-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 653  A*11:01-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 654  A*24:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 655  A*24:02-B*40:02-C*14:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 656  A*24:02-B*58:01-C*12:03-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 657  A*24:07-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 658  A*24:07-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 659  A*24:33-B*18:01-C*12:02-DRB1*15:02-DQB1*06:09  India Central UCBB 0.01194,204
 660  A*26:01-B*53:01-C*16:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 661  A*29:02-B*51:01-C*07:29-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 662  A*31:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 663  A*32:01-B*51:07-C*14:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 664  A*33:03-B*15:05-C*03:03-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 665  A*33:03-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 666  A*33:148-B*35:02-C*04:01-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 667  A*68:01-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 668  A*69:01-B*35:08-C*12:03-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 669  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09-DPB1*02:01  Germany DKMS - German donors 0.01173,456,066
 670  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.01101,772
 671  A*01:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.01101,772
 672  A*02:01-B*14:03-C*08:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 673  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 674  A*02:11-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.011011,446
 675  A*23:01-B*44:03-C*04:01-DRB1*13:03-DQB1*06:09  USA African American pop 4 0.01102,411
 676  A*23:01-B*57:03-C*07:01-DRB1*13:03-DQB1*06:09  USA African American pop 4 0.01102,411
 677  A*30:01-B*58:01-C*02:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 678  A*30:01-B*78:01-C*17:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 679  A*30:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.01101,772
 680  A*30:02-B*44:03-C*04:01-DRB1*13:03-DQB1*06:09  USA African American pop 4 0.01102,411
 681  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.01101,772
 682  A*30:02-B*57:03-C*07:01-DRB1*13:03-DQB1*06:09  USA African American pop 4 0.01102,411
 683  A*33:01-B*14:03-C*08:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 684  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 685  A*33:03-B*07:02-C*15:05-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 686  A*33:03-B*15:03-C*16:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 687  A*68:01-B*58:01-C*02:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 688  A*68:01-B*78:01-C*17:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 689  A*74:01-B*07:02-C*15:05-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 690  A*74:01-B*15:03-C*16:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 691  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.010723,595
 692  A*03:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01075,849
 693  A*11:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01015,849
 694  A*02:01-B*78:01-C*12:03-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.01002,492
 695  A*68:01-B*38:01-C*07:01-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.01002,492
 696  A*01:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 697  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 698  A*01:01-B*57:03-C*07:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 699  A*01:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 700  A*02:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856

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 601 to 700 (from 963) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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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