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 3,341) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 34  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.104811,446
 602  A*11:01-B*52:01-C*12:02-DRB1*15:02  Poland DKMS 0.104320,653
 603  A*11:01-B*27:04-C*12:02-DRB1*12:02  Hong Kong Chinese BMDR 0.10427,595
 604  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.10402,403
 605  A*24:02-B*40:06-C*12:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.10402,403
 606  A*24:02-B*52:01-C*12:02-DRB1*08:03  Japan pop 16 0.104018,604
 607  A*24:02-B*52:01-C*12:02-DRB1*15:01  Japan pop 16 0.104018,604
 608  A*32:01-B*52:01-C*12:02-DRB1*15:19  Germany DKMS - China minority 0.10401,282
 609  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 610  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.10225,829
 611  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.10195,849
 612  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.10104,204
 613  B*40:01-C*12:02  USA Asian pop 2 0.10101,772
 614  A*11:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.100411,446
 615  A*02:01-B*52:01-C*12:02-DRB1*14:01  Italy pop 5 0.1000975
 616  A*02:01-B*52:01-C*12:02-DRB1*15:02  Italy pop 5 0.1000975
 617  A*03:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Austria minority 0.10001,698
 618  A*11:01-B*52:01-C*12:02  Italy pop 5 0.1000975
 619  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.10003,078
 620  A*23:01-B*52:01-C*12:02-DRB1*11:01  Italy pop 5 0.1000975
 621  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 622  A*24:02-B*52:01-C*12:02-DRB1*11:01  Italy pop 5 0.1000975
 623  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.10003,078
 624  A*26:01-B*50:01-C*12:02-DRB1*15:02  Italy pop 5 0.1000975
 625  A*32:01-B*52:01-C*12:02-DRB1*14:04  Italy pop 5 0.1000975
 626  A*33:01-B*52:01-C*12:02-DRB1*04:05  Italy pop 5 0.1000975
 627  A*02:01-B*52:01-C*12:02-DRB1*10:01  Hong Kong Chinese BMDR 0.09947,595
 628  A*11:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 629  A*33:03-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.099018,604
 630  A*11:02:01-B*27:04:01-C*12:02:02-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09865,266
 631  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.09845,829
 632  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - China minority 0.09801,282
 633  A*11:01-B*52:01-C*12:02-DRB1*15:19  Germany DKMS - China minority 0.09801,282
 634  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.09794,204
 635  A*02:11-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 636  A*11:01-B*52:01-C*12:02-DRB1*08:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 637  A*24:02-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 638  A*02:01:01-B*55:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.0963519
 639  A*24:03:01-B*52:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.0963519
 640  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.09552,492
 641  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.09535,849
 642  A*11:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.09512,403
 643  A*11:02-B*27:04-C*12:02-DRB1*14:54  Hong Kong Chinese BMDR 0.09477,595
 644  A*11:01-B*27:04-C*12:02-DRB1*15:01  Germany DKMS - China minority 0.09401,282
 645  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.09401,999
 646  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.09265,849
 647  A*24:02-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.09082,403
 648  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.09015,849
 649  A*03:01-B*52:01-C*12:02-DRB1*11:04  Germany DKMS - Spain minority 0.09001,107
 650  A*30:02-B*52:01-C*12:02  Italy pop 5 0.0900975
 651  A*11:02-B*27:04-C*12:02-DRB1*09:01  Hong Kong Chinese BMDR 0.08927,595
 652  A*24:02-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.089211,446
 653  A*01:01:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.089128,927
 654  A*01:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.08901,772
 655  A*11:01-B*52:01-C*12:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 656  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 657  A*11:02-B*27:04-C*12:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.08901,772
 658  A*11:02-B*27:04-C*12:02-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.08901,772
 659  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 660  A*24:02-B*52:01-C*12:02-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.08901,772
 661  A*24:02-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.08901,772
 662  A*26:03-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.089018,604
 663  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.08901,772
 664  A*68:01-B*52:01-C*12:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 665  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.08901,772
 666  A*69:01-B*52:01-C*12:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 667  A*11:02:01-B*27:04:01-C*12:02:02-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08875,266
 668  A*03:01:01-B*52:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.0886519
 669  A*26:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.08831,510
 670  A*02:06-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.08784,204
 671  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA African American pop 4 0.08702,411
 672  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*04:01:01-DQB1*03:02:01  China Zhejiang Han 0.08651,734
 673  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.08651,734
 674  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.08654,204
 675  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 676  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 677  A*01:01-B*52:01-C*12:02-DRB1*11:03-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 678  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.08601,159
 679  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  Germany DKMS - Italy minority 0.08601,159
 680  A*11:01-B*52:01-C*12:02-DRB1*15:02  Hong Kong Chinese BMDR 0.08607,595
 681  A*69:01-B*52:01-C*12:02-DRB1*12:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 682  B*15:01-C*12:02  USA Asian pop 2 0.08601,772
 683  A*03:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.08565,829
 684  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.084911,446
 685  A*24:07-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.08472,492
 686  A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.08422,403
 687  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.08401,463
 688  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.083911,446
 689  A*68:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.08355,829
 690  A*26:01-B*51:01-C*12:02-DRB1*04:01-DQB1*03:02  India East UCBB 0.08322,403
 691  A*68:01-B*40:06-C*12:02-DRB1*11:06-DQB1*03:01  India East UCBB 0.08322,403
 692  A*02:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.08305,849
 693  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.08275,849
 694  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.08244,204
 695  A*68:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.08242,403
 696  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.08222,403
 697  A*02:06-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.08195,849
 698  A*11:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.08145,829
 699  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.081311,446
 700  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.081211,446

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 3,341) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 34  


   

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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