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 1,403) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*33:03-B*58:01-C*03:02-DRB1*13:01  Germany DKMS - China minority 0.04001,282
 602  A*33:03-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - France minority 0.04001,406
 603  A*01:01-B*58:01-C*03:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.03965,829
 604  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03954,204
 605  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03944,204
 606  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Caribean Hispanic 0.0390115,374
 607  A*02:01-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - China minority 0.03901,282
 608  A*02:01-B*58:01-C*03:02-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 609  A*02:07-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - China minority 0.03901,282
 610  A*11:01-B*58:01-C*03:02-DRB1*08:03  Germany DKMS - China minority 0.03901,282
 611  A*24:02-B*58:01-C*03:02-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 612  A*26:01-B*58:01-C*03:02-DRB1*04:01  Germany DKMS - China minority 0.03901,282
 613  A*29:01-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - China minority 0.03901,282
 614  A*31:01-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - China minority 0.03901,282
 615  A*32:01-B*58:01-C*03:02-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 616  A*33:03-B*58:01-C*03:02-DRB1*11:04  Germany DKMS - China minority 0.03901,282
 617  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.03904,856
 618  A*02:05-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03875,849
 619  A*33:03-B*58:01-C*03:02-DRB1*12:01  Hong Kong Chinese BMDR 0.03877,595
 620  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03825,266
 621  A*02:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03785,849
 622  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*41:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03785,266
 623  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03715,266
 624  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.03704,856
 625  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*16:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03685,266
 626  A*01:01-B*58:01-C*03:02-DRB1*16:01  Germany DKMS - France minority 0.03601,406
 627  A*02:01-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - France minority 0.03601,406
 628  A*03:01-B*58:01-C*03:02-DRB1*04:01  Germany DKMS - Netherlands minority 0.03601,374
 629  A*03:02-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - Netherlands minority 0.03601,374
 630  A*29:01-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - France minority 0.03601,406
 631  A*30:01-B*58:01-C*03:02-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 632  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03605,266
 633  A*33:03-B*58:01-C*03:02-DRB1*01:01  Germany DKMS - France minority 0.03601,406
 634  A*33:03-B*58:01-C*03:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.03601,374
 635  A*33:03-B*58:01-C*03:02-DRB1*04:04  Germany DKMS - France minority 0.03601,406
 636  A*33:03-B*58:01-C*03:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 637  A*33:03-B*58:01-C*03:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 638  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03595,849
 639  A*11:01-B*58:01-C*03:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.03585,849
 640  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.03574,204
 641  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.03574,204
 642  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.03572,403
 643  A*02:16-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.03552,492
 644  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*700:01N  Hong Kong Chinese HKBMDR HLA 11 loci 0.03555,266
 645  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQB1*03:03  India Central UCBB 0.03554,204
 646  A*03:02:01-B*58:01:01-C*03:02:01-DRB1*03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0354221
 647  A*33:03-B*58:01-C*03:02-DRB1*03:01  Poland DKMS 0.035020,653
 648  A*24:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03435,266
 649  A*32:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.03425,849
 650  A*02:01-B*58:01-C*03:02-DRB1*04:05-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 651  A*02:01-B*58:01-C*03:02-DRB1*09:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 652  A*02:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 653  A*23:01-B*58:01-C*03:02-DRB1*13:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 654  A*23:01-B*58:01-C*03:02-DRB1*16:02-DQB1*05:02  Colombia Bogotá Cord Blood 0.03421,463
 655  A*30:02-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 656  A*33:03-B*58:01-C*03:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 657  A*68:02-B*58:01-C*03:02-DRB1*11:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 658  A*02:07:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03415,266
 659  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 660  A*02:01-B*58:01-C*03:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 661  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 662  A*24:02-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 663  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - Austria minority 0.03401,698
 664  A*33:03-B*58:01-C*03:02-DRB1*16:02-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 665  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP European Caucasian 0.03351,242,890
 666  A*11:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.03332,492
 667  A*01:01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 668  A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 669  A*31:01:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 670  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 671  A*68:13:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 672  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03304,856
 673  A*26:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03304,856
 674  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03295,266
 675  A*11:02:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03215,266
 676  A*33:03-B*58:01-C*03:02-DRB1*04:05  Germany DKMS - Croatia minority 0.03202,057
 677  A*03:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.03185,829
 678  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03165,266
 679  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03165,266
 680  A*11:01-B*58:01-C*03:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.03144,204
 681  A*33:01-B*58:01-C*03:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0314951
 682  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP North American Amerindian 0.031135,791
 683  A*24:02-B*58:01-C*03:02-DRB1*13:02  Japan pop 16 0.031018,604
 684  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.031011,446
 685  A*24:07-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03054,204
 686  A*32:01-B*58:01-C*03:02-DRB1*03:01  Hong Kong Chinese BMDR 0.03017,595
 687  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 688  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 689  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 690  A*33:03-B*58:01-C*03:02-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 691  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 692  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 693  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:03-DQB1*06:09-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 694  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02995,266
 695  A*02:01-B*58:01-C*03:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02962,492
 696  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Hispanic South or Central American 0.0295146,714
 697  A*31:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02951,734
 698  A*33:03-B*58:01-C*03:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.02952,403
 699  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02941,734
 700  A*11:01-B*58:01-C*03:02-DRB1*15:01  Hong Kong Chinese BMDR 0.02937,595

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 1,403) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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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