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 5,074) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*01-B*40-DRB1*10  Iraq Erbil 0.2000372
 702  A*02:01-B*44:03-DRB1*10:01  Israel Ashkenazi Jews pop 3 0.20004,625
 703  A*02:02-B*41:01-DRB1*10:01  Israel Iraq Jews 0.200013,270
 704  A*02-B*18-DRB1*10  Iraq Erbil 0.2000372
 705  A*02-B*49-DRB1*10  Iraq Erbil 0.2000372
 706  A*03:02-B*44:02-C*05:01-DRB1*10:01:01-DQB1*05:01:01  England North West 0.2000298
 707  A*03-B*38-DRB1*10  Iraq Erbil 0.2000372
 708  A*11-B*35-DRB1*10  Iraq Erbil 0.2000372
 709  A*24-B*45-DRB1*10:01  USA NMDP Hispanic 0.2000449,844
 710  A*25:01-B*18:01-C*12:03-DRB1*10:01:01-DQB1*05:01:01  England North West 0.2000298
 711  A*68:01-B*37:01:01-C*06:02-DRB1*10:01:01-DQB1*05:01:01  England North West 0.2000298
 712  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.199324,582
 713  A*24-B*45-DRB1*10-DQB1*05  Mexico Mexico City North 0.1992751
 714  A*03:01-B*35:01-C*04:01-DRB1*10:01  Germany DKMS - Greece minority 0.19701,894
 715  A*68:02-B*14:02-DRB1*10:01  Israel Ethiopia Jews 0.19705,928
 716  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.19604,856
 717  A*02:01-B*45:01-C*06:02-DRB1*10:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 718  A*29:01-B*07:05-C*15:05-DRB1*10:01  Germany DKMS - China minority 0.19501,282
 719  A*01:01-B*37:01-C*06:02-DRB1*10:01  Poland DKMS 0.194920,653
 720  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 721  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 722  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 723  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 724  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 725  A*11:01:01-B*35:08:01-C*04:01:01-DRB1*10:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 726  A*23:01:01-B*15:16:01-C*03:04:02-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 727  A*24:02:01-B*41:02:01-C*17:03:01-DRB1*10:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 728  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*126:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 729  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 730  A*31:01:02-B*40:01:02-C*16:01:01-DRB1*10:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 731  A*32:01:01-B*27:03-C*02:02:02-DRB1*10:01:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 732  A*02:05:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.194528,927
 733  A*01:01-B*35:08-DRB1*10:01  Israel Ashkenazi Jews pop 3 0.19404,625
 734  A*02:01-B*35:02-C*04:01-DRB1*10:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 735  A*02:05-B*49:01-C*07:01-DRB1*10:01-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 736  A*02:05-B*58:01-C*07:01-DRB1*10:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 737  A*03:01-B*35:01-C*17:01-DRB1*10:01-DQB1*03:03-DPB1*01:01  Panama 0.1900462
 738  A*30:01-B*38:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*05:01  Panama 0.1900462
 739  A*30:01-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01-DPB1*04:01  Panama 0.1900462
 740  A*33:01-B*15:10-C*03:05-DRB1*10:01-DQB1*05:01-DPB1*17:01  Panama 0.1900462
 741  A*66:01-B*14:02-C*08:02-DRB1*10:01-DQB1*03:02-DPB1*17:01  Panama 0.1900462
 742  A*74:01-B*15:16-C*17:01-DRB1*10:01-DQB1*03:01-DPB1*17:01  Panama 0.1900462
 743  DRB1*10:01-DQB1*03:01  Italy pop 5 0.1900975
 744  A*24:02-B*45:01-C*16:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.18701,999
 745  DRB1*10:01-DQB1*05:01-DPB1*02:01  Gambia pop 3 0.1866939
 746  A*01-B*37-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 747  A*01-B*57-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 748  A*02-B*07-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 749  A*02-B*15:29-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 750  A*24-B*37-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 751  A*30-B*42-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 752  A*24-B*45-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.1848539
 753  A*29-B*37-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.1848539
 754  A*32-B*27-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.1848539
 755  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.18465,829
 756  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 757  A*01:01-B*35:01-C*04:01-DRB1*10:02-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 758  A*01:01-B*35:05-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 759  A*01:01-B*40:06-C*12:03-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 760  A*01:01-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 761  A*01:01-B*52:01-C*16:02-DRB1*10:02-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 762  A*01:01-B*55:01-C*07:01-DRB1*10:01-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 763  A*02:03-B*51:01-C*06:09-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 764  A*02:06-B*15:02-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 765  A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 766  A*02:11-B*37:01-C*07:01-DRB1*10:01-DQB1*06:04  Malaysia Peninsular Indian 0.1845271
 767  A*02:11-B*51:01-C*15:04-DRB1*10:03-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 768  A*02:11-B*55:01-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 769  A*03:01-B*07:02-C*06:02-DRB1*10:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 770  A*03:01-B*40:04-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 771  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 772  A*11:01-B*40:04-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 773  A*11:01-B*50:01-C*15:02-DRB1*10:01-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 774  A*11:01-B*51:01-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 775  A*11:12-B*51:02-C*16:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 776  A*24:02-B*18:01-C*07:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 777  A*24:02-B*37:14-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 778  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 779  A*30:01-B*07:02-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 780  A*31:01-B*15:18-C*07:04-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 781  A*31:01-B*37:01-C*04:01-DRB1*10:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 782  A*32:01-B*15:08-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 783  A*33:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 784  A*33:03-B*40:01-C*02:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 785  A*33:03-B*44:03-C*07:04-DRB1*10:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 786  A*36:01-B*55:01-C*01:02-DRB1*10:01-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 787  A*68:01-B*37:01-C*07:02-DRB1*10:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 788  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18394,204
 789  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.18252,492
 790  A*68-B*49-DRB1*10-DQB1*05  Ecuador Andes Mixed Ancestry 0.1820824
 791  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1817833
 792  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.18122,403
 793  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.18122,492
 794  A*02:01-B*44:03-DRB1*10:01  Israel USSR Jews 0.181045,681
 795  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18074,204
 796  A*68-B*35-DRB1*10-DQB1*05  Mexico Tlaxcala Rural 0.1807830
 797  DRB1*10:01-DQB1*05:01-DPB1*04:02  Gambia pop 3 0.1802939
 798  A*02:02-B*51:01-DRB1*10:01  Israel Bukhara Jews 0.18002,317
 799  A*02:17-B*51:01-DRB1*10:01  Israel Iran Jews 0.18008,153
 800  A*01-B*41-DRB1*10-DQB1*05  Mexico Puebla Rural 0.1799833

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 5,074) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  


   

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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