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 2,375) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*02:06-B*39:01-C*07:02-DRB1*04:03  Germany DKMS - China minority 0.03901,282
 602  A*02:06-B*39:01-C*07:02-DRB1*04:03  Japan pop 16 0.026018,604
 603  A*02:06-B*39:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 604  A*02:06-B*39:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 605  A*02:06-B*39:01-C*07:02-DRB1*04:05  Germany DKMS - China minority 0.03901,282
 606  A*02:06-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.057018,604
 607  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 608  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 609  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 610  A*02:06-B*39:01-C*07:02-DRB1*04:06  Japan pop 16 0.005018,604
 611  A*02:06-B*39:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:02  Nicaragua Managua 0.2165339
 612  A*02:06-B*39:01-C*07:02-DRB1*04:10  Japan pop 16 0.026018,604
 613  A*02:06-B*39:01-C*07:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 614  A*02:06-B*39:01-C*07:02-DRB1*08:02  Japan pop 16 0.162018,604
 615  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 616  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 617  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 618  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 619  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 620  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 621  A*02:06-B*39:01-C*07:02-DRB1*08:03  Germany DKMS - China minority 0.03901,282
 622  A*02:06-B*39:01-C*07:02-DRB1*08:03  Japan pop 16 0.125018,604
 623  A*02:06-B*39:01-C*07:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 624  A*02:06-B*39:01-C*07:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 625  A*02:06-B*39:01-C*07:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.03003,078
 626  A*02:06-B*39:01-C*07:02-DRB1*08:03-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.543611,499
 627  A*02:06-B*39:01-C*07:02-DRB1*09:01  Japan pop 16 0.042018,604
 628  A*02:06-B*39:01-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 629  A*02:06-B*39:01-C*07:02-DRB1*11:01  Japan pop 16 0.005018,604
 630  A*02:06-B*39:01-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 631  A*02:06-B*39:01-C*07:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 632  A*02:06-B*39:01-C*07:02-DRB1*12:02  Japan pop 16 0.016018,604
 633  A*02:06-B*39:01-C*07:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 634  A*02:06-B*39:01-C*07:02-DRB1*12:02-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 635  A*02:06-B*39:01-C*07:02-DRB1*14:03  Japan pop 16 0.021018,604
 636  A*02:06-B*39:01-C*07:02-DRB1*14:03-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 637  A*02:06-B*39:01-C*07:02-DRB1*14:05  Japan pop 16 0.005018,604
 638  A*02:06-B*39:01-C*07:02-DRB1*14:06  Japan pop 16 0.026018,604
 639  A*02:06-B*39:01-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 640  A*02:06-B*39:01-C*07:02-DRB1*14:54  Japan pop 16 0.037018,604
 641  A*02:06-B*39:01-C*07:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 642  A*02:06-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.386018,604
 643  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 644  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 645  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 646  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 647  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.255311,499
 648  A*02:06-B*39:01-C*07:02-DRB1*15:02  Japan pop 16 0.010018,604
 649  A*02:06-B*39:01-C*12:03-DRB1*12:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 650  A*02:06-B*39:01-C*12:03-DRB1*13:02-DQB1*06:09  India UCBB_Central Indian HLA 0.01194,204
 651  A*02:06-B*39:01-C*12:04-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 652  A*02:06-B*39:01-C*12:04-DRB1*15:91-DQB1*06:01  India Tamil Nadu 0.02012,492
 653  A*02:06-B*39:01-C*15:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00667,595
 654  A*02:06-B*39:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.02573,892
 655  A*02:06-B*39:01-DRB1*08:03  New Zealand Maori with Admixed History 0.9524105
 656  A*02:06-B*39:01-DRB1*14:54  New Zealand Polynesians with Full Ancestry 2.381021
 657  A*02:06-B*39:01-DRB1*14:54  New Zealand Polynesians with Admixed History 1.852027
 658  A*02:06-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.02533,892
 659  A*02:06-B*39:01-DRB1*16:02  Mexico Oaxaca Mixtec 3.0000103
 660  A*02:07:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00635,266
 661  A*02:07:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01685,266
 662  A*02:07:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01125,266
 663  A*02:07:01-B*39:01:01-C*07:02:01-DRB1*12:02:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 664  A*02:07-B*39:01  China Hubei Han 0.00143,732
 665  A*02:07-B*39:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 666  A*02:07-B*39:01-C*07:02-DRB1*08:02  Japan pop 16 0.010018,604
 667  A*02:07-B*39:01-C*07:02-DRB1*08:03  Germany DKMS - China minority 0.08301,282
 668  A*02:07-B*39:01-C*07:02-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 669  A*02:07-B*39:01-C*07:02-DRB1*14:06  Japan pop 16 0.005018,604
 670  A*02:11-B*39:01-C*07:02-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 671  A*02:11-B*39:01-C*12:04-DRB1*04:10-DQB1*04:02  India Tamil Nadu 0.02012,492
 672  A*02:13-B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 673  A*02:17:02-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 674  A*02:17:02-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 675  A*02:17-B*39:01-DRB1*07:01  Israel Iran Jews 0.00318,153
 676  A*02:17-B*39:01-DRB1*11:04  Israel Iran Jews 0.00318,153
 677  A*02:17-B*39:01-DRB1*12:01  Israel USSR Jews 0.001145,681
 678  A*02:17-B*39:01-DRB1*16:01  Israel Iran Jews 0.00928,153
 679  A*02:281-B*39:01:01-C*07:02:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00615,266
 680  A*02:28-B*39:01-C*07:02-DRB1*08:02  Japan pop 16 0.005018,604
 681  A*02:28-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 682  A*02:30-B*39:01-C*07:02-DRB1*13:01  Poland DKMS 0.001720,653
 683  A*02:30-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 684  A*02:35:01-B*39:01:01-C*03:04:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 685  A*02:50-B*39:01-C*12:03-DRB1*12:01-DQB1*06:02  Iran Gorgan 0.780064
 686  A*02:50-B*39:01-DRB1*08:01-DQB1*04:01  Iran Tabriz Azeris 0.515597
 687  A*03:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06851,510
 688  A*03:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 689  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 690  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 691  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06741,510
 692  A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 693  A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 694  A*03:01:01-B*39:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 695  A*03:01:01-B*39:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 696  A*03:01:01-B*39:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0946519
 697  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 698  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 699  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DQA1*03:02:01-DQB1*03:03:02-DPA1*02:02:02-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 700  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734

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 2,375) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

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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