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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 801 to 900 (from 3,341) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 34  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*24:02-B*56:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 802  A*24:07-B*07:05-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 803  A*24:07-B*15:13-C*12:02-DRB1*12:02-DQA1*02:01-DQB1*03:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 804  A*24:07-B*52:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 805  A*26:01-B*35:01-C*12:02-DRB1*15:01-DQA1*05:01-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 806  A*26:01-B*40:06-C*12:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 807  A*26:01-B*52:01-C*12:02-DRB1*11:01-DQA1*05:01-DQB1*03:05-DPB1*04:01  Sri Lanka Colombo 0.0700714
 808  A*26:01-B*52:01-C*12:02-DRB1*12:02-DQA1*06:01-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 809  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQA1*05:01-DQB1*03:05-DPB1*04:01  Sri Lanka Colombo 0.0700714
 810  A*26:01-B*57:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 811  A*31:01-B*51:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 812  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 813  A*33:03-B*52:01-C*12:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 814  A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 815  A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01  Sri Lanka Colombo 0.0700714
 816  A*33:03-B*52:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 817  A*33:03-B*52:01-C*12:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 818  A*33:03-B*57:01-C*12:02-DRB1*11:01-DQA1*05:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 819  A*68:01-B*40:06-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 820  A*68:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 821  A*24:02-B*52:01-C*12:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 822  A*24:02-B*52:01-C*12:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 823  A*24:02-B*52:01-C*12:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 824  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 825  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 826  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 827  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*14:01  Japan pop 17 0.07003,078
 828  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 829  A*26:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 830  B*35:01-C*12:02  Italy pop 5 0.0700975
 831  B*55:01-C*12:02  Italy pop 5 0.0700975
 832  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*02:01  Germany DKMS - German donors 0.06963,456,066
 833  A*24:02-B*27:04-C*12:02-DRB1*12:02  Hong Kong Chinese BMDR 0.06927,595
 834  A*68:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.068611,446
 835  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African 0.068328,557
 836  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.068311,446
 837  A*02:11-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.068211,446
 838  A*24:02-B*40:06-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.06822,492
 839  A*24:02-B*52:01-C*12:02-DRB1*01:01  Japan pop 16 0.068018,604
 840  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 841  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.06805,829
 842  A*11:01:01-B*27:04:01-C*12:02:02-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06765,266
 843  A*11:01-B*27:04-C*12:02-DRB1*14:54  Hong Kong Chinese BMDR 0.06707,595
 844  A*02:11-B*40:06-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.06685,829
 845  A*01:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.06664,204
 846  A*68:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06664,204
 847  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06635,266
 848  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*05:03  India North UCBB 0.06625,849
 849  A*11:01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 850  A*24:02:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.06621,510
 851  A*68:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.066211,446
 852  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.06602,403
 853  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06595,266
 854  A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.06564,204
 855  A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.06552,492
 856  A*11:02-B*27:04-C*12:02-DRB1*15:01  Hong Kong Chinese BMDR 0.06537,595
 857  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06472,492
 858  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06452,492
 859  A*11:02:01-B*27:04:01-C*12:02:02-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.06435,266
 860  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.06431,463
 861  A*11:02:01-B*27:04:01-C*12:02:02-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.06415,266
 862  A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.06402,492
 863  A*33:03-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.06402,403
 864  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.063811,446
 865  A*03:01-B*27:04-C*12:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.06365,849
 866  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.06364,204
 867  A*68:01-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06332,403
 868  A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.06322,403
 869  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.06313,456,066
 870  A*32:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.06285,829
 871  A*24:07-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.06265,829
 872  A*32:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.06255,849
 873  A*11:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03-DPB1*02:01  Russia Karelia 0.06251,075
 874  A*24:02-B*40:06-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.06242,403
 875  A*24:02-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.06242,403
 876  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*05:02  India East UCBB 0.06242,403
 877  A*68:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.06245,829
 878  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*05:03  Germany DKMS - Turkey minority 0.06204,856
 879  A*11:01-B*52:01-C*12:02-DRB1*01:01  Germany DKMS - Austria minority 0.06201,698
 880  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.06204,856
 881  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.06181,734
 882  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06182,492
 883  A*11:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.06174,204
 884  A*24:02-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.061511,446
 885  A*24:02-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.06155,849
 886  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.06104,204
 887  A*25:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:02  Russia Karelia 0.06101,075
 888  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.06092,492
 889  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 0.060677,584
 890  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.06022,492
 891  A*03:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.06022,492
 892  A*24:02-B*52:01-C*12:02-DRB1*08:03-DQB1*03:01  India Tamil Nadu 0.06022,492
 893  A*26:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.06022,492
 894  A*68:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.06022,492
 895  A*68:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.06025,829
 896  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06012,492
 897  A*01:01-B*40:06-C*12:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.06002,492
 898  A*11:01-B*52:01-C*12:02-DRB1*10:01  Hong Kong Chinese BMDR 0.05987,595
 899  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.05961,734
 900  A*68:01-B*52:01-C*12:02-DRB1*04:01-DQB1*03:02  India Central UCBB 0.05954,204

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 801 to 900 (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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