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 2,921) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 30  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*24:02-B*35:01-C*08:01-DRB1*04:03  Japan pop 16 0.073018,604
 702  A*24:02-B*48:01-C*08:01-DRB1*14:54  Japan pop 16 0.073018,604
 703  A*24:02-B*48:01-C*08:01-DRB1*15:01  Japan pop 16 0.073018,604
 704  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07285,266
 705  A*02:06-B*15:02-C*08:01-DRB1*15:01  Hong Kong Chinese BMDR 0.07207,595
 706  A*02:06-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.07192,403
 707  A*11:02:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07085,266
 708  A*01:01-B*52:01-C*08:01-DRB1*07:01-DQA1*06:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 709  A*01:01-B*58:01-C*08:01-DRB1*07:01-DQA1*06:01-DQB1*02:02-DPB1*21:01  Sri Lanka Colombo 0.0700714
 710  A*02:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 711  A*02:01-B*35:01-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*28:01  Sri Lanka Colombo 0.0700714
 712  A*02:03-B*48:04-C*08:01-DRB1*15:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 713  A*02:05-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 714  A*02:06-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 715  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 716  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 717  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*28:01  Sri Lanka Colombo 0.0700714
 718  A*02:11-B*15:02-C*08:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 719  A*02:11-B*48:04-C*08:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 720  A*11:01-B*15:02-C*08:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 721  A*11:01-B*15:02-C*08:01-DRB1*12:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 722  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*21:01  Sri Lanka Colombo 0.0700714
 723  A*11:01-B*15:02-C*08:01-DRB1*13:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 724  A*11:01-B*15:02-C*08:01-DRB1*13:02-DQA1*01:02-DQB1*06:01-DPB1*28:01  Sri Lanka Colombo 0.0700714
 725  A*11:01-B*15:02-C*08:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 726  A*11:01-B*15:25-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 727  A*11:01-B*57:01-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*05:01  Sri Lanka Colombo 0.0700714
 728  A*24:02-B*48:01-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*14:01  Sri Lanka Colombo 0.0700714
 729  A*24:07-B*40:06-C*08:01-DRB1*15:02-DQA1*01:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 730  A*24:07-B*56:01-C*08:01-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 731  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 732  A*26:01-B*35:01-C*08:01-DRB1*13:01-DQA1*01:01-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 733  A*32:01-B*48:04-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 734  A*68:01-B*13:01-C*08:01-DRB1*13:01-DQA1*01:02-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 735  A*02:01-B*35:01-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 736  A*02:01-B*35:01-C*08:01-DRB1*12:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 737  A*02:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 738  A*02:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 739  A*02:01-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 740  A*02:06-B*40:06-C*08:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 741  A*02:10-B*40:06-C*08:01-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 742  A*11:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 743  A*24:02-B*35:01-C*08:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 744  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 745  A*24:02-B*40:06-C*08:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 746  A*24:02-B*48:01-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 747  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 748  A*24:02-B*48:01-C*08:01-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 749  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 750  A*26:01-B*35:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 751  A*26:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 752  A*26:02-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*19:01  Japan pop 17 0.07003,078
 753  A*31:01-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 754  A*33:03-B*35:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 755  A*33:03-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 756  A*02:01-B*40:06-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.06987,595
 757  A*24:02-B*48:01-C*08:01-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 758  A*68:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 759  A*24:02-B*35:01-C*08:01-DRB1*12:01  Japan pop 16 0.068018,604
 760  A*11:01-B*15:02-C*08:01-DRB1*08:03  Hong Kong Chinese BMDR 0.06657,595
 761  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 762  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 763  A*24:02-B*40:06-C*08:01-DRB1*12:02  Germany DKMS - China minority 0.06601,282
 764  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06565,266
 765  A*11:01-B*40:06-C*08:01-DRB1*16:02  Germany DKMS - China minority 0.06501,282
 766  A*24:02-B*48:01-C*08:01-DRB1*11:01-DRB3*02:02-DQB1*03:01  USA NMDP Korean 0.065077,584
 767  A*03:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.06502,492
 768  A*11:01-B*15:13-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.0649951
 769  A*11:02-B*15:02-C*08:01-DRB1*15:01  Hong Kong Chinese BMDR 0.06477,595
 770  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06415,266
 771  A*24:02:01-B*54:01:01-C*08:01:01-DRB1*09:01:02-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06415,266
 772  A*33:03:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06385,266
 773  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06335,266
 774  A*02:01-B*48:01-C*08:01-DRB1*14:54  Japan pop 16 0.063018,604
 775  A*02:06-B*40:06-C*08:01-DRB1*15:01  Japan pop 16 0.063018,604
 776  A*02:06-B*48:01-C*08:01-DRB1*14:05  Japan pop 16 0.063018,604
 777  A*24:02-B*35:01-C*08:01-DRB1*15:01  Japan pop 16 0.063018,604
 778  A*24:02-B*40:06-C*08:01-DRB1*04:05  Japan pop 16 0.063018,604
 779  A*26:01-B*40:06-C*08:01-DRB1*09:01  Japan pop 16 0.063018,604
 780  A*33:03-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.06301,772
 781  A*24:02:01-B*40:06:01-C*08:01:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.06291,734
 782  A*02:01-B*40:06-C*08:01-DRB1*14:54-DQB1*05:02  India East UCBB 0.06242,403
 783  A*02:03-B*15:02-C*08:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.06242,403
 784  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.06091,734
 785  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India West UCBB 0.06065,829
 786  A*02:02-B*15:02-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.0600951
 787  B*40:01-C*08:01  USA Asian pop 2 0.06001,772
 788  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India North UCBB 0.05985,849
 789  A*24:02-B*48:01-C*08:01-DRB1*14:04-DQB1*05:03  India North UCBB 0.05985,849
 790  A*02:06-B*48:03-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.05807,595
 791  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05781,734
 792  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.05771,734
 793  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 794  A*02:06:01-B*48:03:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 795  A*02:07:01-B*15:02:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 796  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 797  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 798  A*24:02:01-B*40:06:01-C*08:01:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.05771,734
 799  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DQB1*05:03:01  China Zhejiang Han 0.05761,734
 800  A*11:01-B*15:02-C*08:01-DRB1*12:01  Hong Kong Chinese BMDR 0.05747,595

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 701 to 800 (from 2,921) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 30  


   

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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