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 701 to 800 (from 4,940) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 50  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.28831,734
 702  A*33:03-B*58:01-C*03:02-DRB1*09:01  Germany DKMS - China minority 0.28801,282
 703  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 704  A*02:09-B*35:03:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 705  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 706  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.2850833
 707  A*02-B*51-DRB1*09:01  Chile Santiago 0.2815920
 708  A*02:01-B*51:01-C*15:02-DRB1*09:01-DQB1*03:03-DPB1*04:02  Russia Karelia 0.27791,075
 709  A*02:01-B*46:01-C*01:03-DRB1*09:01  Hong Kong Chinese BMDR 0.27657,595
 710  A*02-B*18-DRB1*09-DQB1*03:03  Mexico Tlaxcala, Tlaxcala city 0.2762181
 711  A*25-B*51-DRB1*09-DQB1*03:03  Mexico Tlaxcala, Tlaxcala city 0.2762181
 712  A*68-B*53-DRB1*09-DQB1*02  Mexico Tlaxcala, Tlaxcala city 0.2762181
 713  A*02:01-B*40:01-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.27597,595
 714  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.275299,672
 715  A*02-B*07-DRB1*09-DQB1*03:03  Mexico Sinaloa Rural 0.2732183
 716  A*02-B*15:02-DRB1*09-DQB1*03:03  Mexico Sinaloa Rural 0.2732183
 717  A*02-B*55-DRB1*09-DQB1*02  Mexico Sinaloa Rural 0.2732183
 718  A*11-B*15:01-DRB1*09-DQB1*03:03  Mexico Sinaloa Rural 0.2732183
 719  A*29-B*45-DRB1*09-DQB1*02  Mexico Sinaloa Rural 0.2732183
 720  A*02:01-B*40:06-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.27301,282
 721  DRB1*09:01-DQB1*02:02-DPB1*04:01  Gambia pop 3 0.2728939
 722  A*11:01-B*40:01-C*03:04-DRB1*09:01  Germany DKMS - China minority 0.27201,282
 723  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.27101,772
 724  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.270927,978
 725  A*02:01:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.27011,734
 726  A*03-B*40-DRB1*09:01  Colombia Barranquilla 0.2700188
 727  A*29-B*42-DRB1*09:01  Colombia Barranquilla 0.2700188
 728  A*29-B*45-DRB1*09:01  Colombia Barranquilla 0.2700188
 729  A*30-B*07-DRB1*09:01  Colombia Barranquilla 0.2700188
 730  A*30-B*45-DRB1*09:01  Colombia Barranquilla 0.2700188
 731  A*31-B*08-DRB1*09:01  Colombia Barranquilla 0.2700188
 732  A*68-B*51-DRB1*09:01  Colombia Barranquilla 0.2700188
 733  A*02:03-B*46:01-C*01:02-DRB1*09:01  Hong Kong Chinese BMDR 0.26867,595
 734  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.26841,734
 735  A*24:02-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.26767,595
 736  A*31-B*57-DRB1*09-DQB1*03:03  Mexico Veracruz, Xalapa 0.2674187
 737  A*24:02-B*38:02-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.26501,772
 738  A*02-B*15-DRB1*09:01  Chile Santiago 0.2614920
 739  A*01:01:01:01-B*15:01:01:01-C*07:01:01-DRB1*09:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 740  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 741  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 742  A*03:01:01:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 743  A*24:02:01:01-B*40:01:02-C*03:04:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 744  A*25:01:01-B*44:03:02-C*07:06-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 745  A*26:01:01-B*48:01:01-C*07:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 746  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 747  A*32:01:01-B*40:02:01-C*02:02:02:01-DRB1*09:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 748  A*68:01:02:02-B*50:01:01-C*07:02:01:03-DRB1*09:01:02-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 749  A*69:01-B*35:08:01-C*12:03:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 750  A*02:01-B*44:02-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 751  A*02:01-B*51:01-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 752  A*02:06-B*40:06-C*03:04-DRB1*09:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 753  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*05:01  USA San Diego 0.2600496
 754  A*24:02-B*40:01-C*04:01-DRB1*09:01-DQA1*05:01-DQB1*03:03-DPB1*05:01  USA San Diego 0.2600496
 755  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*01:03-DQB1*06:01-DPB1*05:01  USA San Diego 0.2600496
 756  A*26:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*04:02-DPB1*05:01  USA San Diego 0.2600496
 757  A*32:01-B*15:01-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 758  A*32:01-B*44:03-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 759  A*33:03-B*56:01-C*04:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*05:01  USA San Diego 0.2600496
 760  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.25951,734
 761  A*11:01-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.25901,772
 762  A*02:01-B*27:06-C*03:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 763  A*02:01-B*40:06-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 764  A*02:01-B*46:01-C*03:04-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 765  A*02:01-B*67:01-C*07:05-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 766  A*02:03-B*56:03-C*01:02-DRB1*09:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 767  A*02:06-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 768  A*02:07-B*39:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 769  A*02:07-B*46:01-C*01:16-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 770  A*11:01-B*13:01-C*14:02-DRB1*09:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 771  A*11:01-B*15:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 772  A*11:01-B*15:27-C*04:01-DRB1*09:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 773  A*11:01-B*27:04-C*07:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 774  A*11:01-B*35:01-C*03:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 775  A*11:01-B*39:05-C*07:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 776  A*11:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 777  A*11:01-B*40:01-C*07:05-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 778  A*11:01-B*46:01-C*01:11-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 779  A*11:01-B*51:02-C*03:02-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 780  A*11:23-B*27:04-C*12:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 781  A*24:02-B*46:14-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 782  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 783  A*24:02-B*51:01-C*03:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 784  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 785  A*24:02-B*55:04-C*03:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 786  A*24:02-B*56:03-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 787  A*26:01-B*15:03-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 788  A*26:01-B*35:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 789  A*26:01-B*40:06-C*03:03-DRB1*09:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 790  A*29:01-B*07:05-C*07:02-DRB1*09:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 791  A*30:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 792  A*33:01-B*52:01-C*03:03-DRB1*09:01-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 793  A*33:01-B*55:02-C*07:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 794  A*33:01-B*58:01-C*03:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 795  A*33:01-B*58:01-C*03:16-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 796  A*11-B*57-DRB1*09-DQB1*03:03  Mexico Sonora Rural 0.2538197
 797  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.25115,266
 798  A*02-B*15:03-DRB1*09-DQB1*02  Mexico Coahuila, Torreon 0.2500396
 799  A*33:03-B*46:01-C*01:02-DRB1*09:01  Hong Kong Chinese BMDR 0.24507,595
 800  A*11:01-B*51:06-DRB1*09:01  Israel Bukhara Jews 0.24302,317

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 4,940) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 50  


   

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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