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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Displaying 701 to 800 (from 1,385) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.2753833
 702  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.2711833
 703  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.2688833
 704  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*09:01  USA San Diego 0.2600496
 705  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 706  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:03-DPB1*03:01  USA San Diego 0.2600496
 707  A*01:01-B*35:55-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.2600496
 708  A*01:01-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*05:02-DPB1*04:01  USA San Diego 0.2600496
 709  A*01:01-B*49:01-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 710  A*02:01-B*27:02-C*02:02-DRB1*11:04-DQA1*01:02-DQB1*05:02-DPB1*04:02  USA San Diego 0.2600496
 711  A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*01:02-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 712  A*02:01-B*35:12-C*04:01-DRB1*14:06-DQA1*01:02-DQB1*06:02-DPB1*23:01  USA San Diego 0.2600496
 713  A*02:01-B*35:12-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*05:01  USA San Diego 0.2600496
 714  A*02:01-B*40:01-C*02:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 715  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 716  A*02:01-B*49:01-C*04:01-DRB1*11:02-DQA1*01:02-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 717  A*02:01-B*49:01-C*07:01-DRB1*16:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 718  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 719  A*02:01-B*51:05-C*04:01-DRB1*14:04-DQA1*01:02-DQB1*06:02-DPB1*14:01  USA San Diego 0.2600496
 720  A*02:01-B*57:03-C*16:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*18:01  USA San Diego 0.2600496
 721  A*03:01-B*07:02-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 722  A*03:01-B*15:13-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 723  A*03:01-B*53:01-C*04:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 724  A*11:01-B*38:02-C*07:02-DRB1*04:05-DQA1*01:02-DQB1*05:02-DPB1*01:01  USA San Diego 0.2600496
 725  A*11:01-B*44:02-C*06:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*06:01  USA San Diego 0.2600496
 726  A*11:01-B*51:01-C*14:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*05:01  USA San Diego 0.2600496
 727  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 728  A*11:01-B*55:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:02  USA San Diego 0.2600496
 729  A*23:01-B*18:01-C*07:04-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*17:01  USA San Diego 0.2600496
 730  A*23:01-B*44:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 731  A*23:01-B*44:03-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 732  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*05:01  USA San Diego 0.2600496
 733  A*24:02-B*18:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 734  A*24:02-B*35:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:02  USA San Diego 0.2600496
 735  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQA1*01:02-DQB1*06:02-DPB1*03:01  USA San Diego 0.2600496
 736  A*24:02-B*39:06-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 737  A*24:02-B*40:02-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 738  A*24:02-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 739  A*26:01-B*44:03-C*16:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 740  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 741  A*29:02-B*35:08-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.2600496
 742  A*29:02-B*51:01-C*02:02-DRB1*16:09-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 743  A*30:01-B*58:01-C*15:05-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 744  A*30:02-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 745  A*30:02-B*53:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  USA San Diego 0.2600496
 746  A*31:01-B*15:10-C*03:04-DRB1*13:03-DQA1*01:02-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 747  A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:02  USA San Diego 0.2600496
 748  A*33:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  USA San Diego 0.2600496
 749  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*01:01  USA San Diego 0.2600496
 750  A*33:03-B*58:01-C*01:02-DRB1*13:02-DQA1*01:02-DQB1*03:01-DPB1*02:02  USA San Diego 0.2600496
 751  A*68:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 752  A*68:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*09:01  USA San Diego 0.2600496
 753  A*02-B*44-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.2531641
 754  A*02-B*51-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.2528641
 755  A*02-B*40-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.2483641
 756  DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*21:01  Hong Kong Chinese HKBMDR. DQ and DP 0.24691,064
 757  DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.24051,064
 758  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*104:01  China Zhejiang Han pop 2 0.2401833
 759  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.2348833
 760  DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.23451,064
 761  A*03-B*07-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.2340641
 762  A*24-B*15-DRB1*13:02-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.2340641
 763  A*34-B*35-DRB1*15:03-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.2340641
 764  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 765  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 766  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 767  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.2287833
 768  DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.22761,064
 769  DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*01:01  Hong Kong Chinese HKBMDR. DQ and DP 0.22671,064
 770  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.2206833
 771  DQA1*01:02-DQB1*06:09-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.22041,064
 772  DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.21661,064
 773  A*01:01-B*07:02-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Nicaragua Managua 0.2165339
 774  A*01:01-B*07:02-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.2165339
 775  A*01:01-B*18:05-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPB1*04:01  Nicaragua Managua 0.2165339
 776  A*01:01-B*44:03-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 777  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Nicaragua Managua 0.2165339
 778  A*02:01-B*15:03-C*02:10-DRB1*11:04-DQA1*01:02-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 779  A*02:01-B*15:10-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.2165339
 780  A*02:01-B*27:05-C*07:02-DRB1*16:01-DQA1*01:02-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 781  A*02:01-B*35:01-C*07:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*03:01  Nicaragua Managua 0.2165339
 782  A*02:01-B*35:43-C*01:02-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPB1*04:02  Nicaragua Managua 0.2165339
 783  A*02:01-B*39:02-C*03:04-DRB1*16:01-DQA1*01:02-DQB1*03:02-DPB1*03:01  Nicaragua Managua 0.2165339
 784  A*02:01-B*45:01-C*16:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*17:01  Nicaragua Managua 0.2165339
 785  A*02:05-B*49:01-C*07:01-DRB1*01:02-DQA1*01:02-DQB1*06:02-DPB1*04:02  Nicaragua Managua 0.2165339
 786  A*02:05-B*51:01-C*16:01-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 787  A*02:06-B*15:17-C*07:01-DRB1*04:10-DQA1*01:02-DQB1*06:04-DPB1*05:01  Nicaragua Managua 0.2165339
 788  A*02:06-B*35:123-C*04:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Nicaragua Managua 0.2165339
 789  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.2165339
 790  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  Nicaragua Managua 0.2165339
 791  A*03:01-B*07:02-C*07:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Nicaragua Managua 0.2165339
 792  A*03:01-B*52:01-C*08:02-DRB1*11:01-DQA1*01:02-DQB1*05:02-DPB1*30:01  Nicaragua Managua 0.2165339
 793  A*03:01-B*58:02-C*04:01-DRB1*13:01-DQA1*01:02-DQB1*03:03-DPB1*04:01  Nicaragua Managua 0.2165339
 794  A*23:01-B*08:01-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  Nicaragua Managua 0.2165339
 795  A*23:01-B*14:02-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*20:01  Nicaragua Managua 0.2165339
 796  A*23:01-B*39:11-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 797  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Nicaragua Managua 0.2165339
 798  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  Nicaragua Managua 0.2165339
 799  A*24:02-B*08:01-C*07:01-DRB1*14:01-DQA1*01:02-DQB1*05:03-DPB1*03:01  Nicaragua Managua 0.2165339
 800  A*24:02-B*18:05-C*02:02-DRB1*11:04-DQA1*01:02-DQB1*05:02-DPB1*01:01  Nicaragua Managua 0.2165339

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 1,385) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

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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