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 1,801 to 1,900 (from 13,496) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 135  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,801  A*03:01-B*07:02-C*07:02-DRB1*07:01  Germany DKMS - Spain minority 0.26201,107
 1,802  A*29:02-B*53:01-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.26202,411
 1,803  A*30:01-B*13:02-DRB1*07:01  Israel USA Jews 0.26206,058
 1,804  A*30:02-B*78:01-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.26202,411
 1,805  A*26:01-B*38:01-DRB1*07:01  Israel Morocco Jews 0.261036,718
 1,806  A*32:01-B*51:06-DRB1*07:01  Israel YemenJews 0.261015,542
 1,807  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,808  A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 1,809  A*01:01:01-B*57:01:01-C*08:02:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,810  A*02:01:01:01-B*07:02:01-C*03:03:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,811  A*02:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,812  A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,813  A*02:01:01:01-B*35:03:01-C*03:03:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,814  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,815  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*07:01:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 1,816  A*02:06:01-B*27:05:02-C*02:02:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,817  A*02:08-B*50:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 1,818  A*03:01:01:01-B*55:01:01-C*01:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,819  A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,820  A*11:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,821  A*23:01:01-B*15:01:01:01-C*03:03:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,822  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,823  A*24:02:01:01-B*14:02:01-C*08:02:01:01-DRB1*07:01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 1,824  A*24:02:01:01-B*44:02:01:01-C*16:04:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,825  A*24:02:01:01-B*58:01:01-C*03:02:02-DRB1*07:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 1,826  A*30:01:01-B*13:02:01-C*05:01:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,827  A*32:01:01-B*37:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 1,828  A*33:01:01-B*08:01:01-C*08:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,829  A*34:02:01-B*14:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,830  A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 1,831  A*68:01:02:02-B*44:03:01-C*03:03:01-DRB1*07:01:01:01-DQB1*04:02:01  Russia Bashkortostan, Tatars 0.2604192
 1,832  A*01:01-B*08:01-C*03:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  USA San Diego 0.2600496
 1,833  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  USA San Diego 0.2600496
 1,834  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 1,835  A*01:01-B*18:01-C*15:10-DRB1*07:01-DQA1*05:01-DQB1*02:01-DPB1*09:01  USA San Diego 0.2600496
 1,836  A*02:01-B*27:05-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 1,837  A*02:01-B*27:10-C*15:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 1,838  A*02:01-B*40:01-C*03:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 1,839  A*02:01-B*40:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  USA San Diego 0.2600496
 1,840  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Diego 0.2600496
 1,841  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 1,842  A*02:01-B*44:03-DRB1*07:01  Croatia pop 4 0.26004,000
 1,843  A*02:01-B*51:08-C*16:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 1,844  A*02:05-B*18:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  USA San Diego 0.2600496
 1,845  A*03:01-B*13:02-DRB1*07:01  Israel Ethiopia Jews 0.26005,928
 1,846  A*03:01-B*35:03-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*06:05-DPB1*02:01  USA San Diego 0.2600496
 1,847  A*03:01-B*44:02-C*05:01-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 1,848  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 1,849  A*11:01-B*14:01-C*08:02-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 1,850  A*23:01-B*35:02-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 1,851  A*23:01-B*44:03-C*14:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*10:01  USA San Diego 0.2600496
 1,852  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 1,853  A*24:02-B*15:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 1,854  A*24:02-B*15:01-C*07:01-DRB1*07:01-DQA1*04:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 1,855  A*24:02-B*18:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  USA San Diego 0.2600496
 1,856  A*24:02-B*38:01-C*12:03-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 1,857  A*24:02-B*44:03-C*14:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 1,858  A*24:02-B*50:01-C*06:02-DRB1*07:01-DQA1*03:01-DQB1*03:02-DPB1*03:01  USA San Diego 0.2600496
 1,859  A*25:01-B*44:02-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 1,860  A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  USA San Diego 0.2600496
 1,861  A*29:02-B*35:01-C*16:01-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 1,862  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
 1,863  A*29:02-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 1,864  A*30:01-B*15:01-C*03:03-DRB1*07:01-DQA1*01:03-DQB1*06:03-DPB1*03:01  USA San Diego 0.2600496
 1,865  A*34:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 1,866  A*68:03-B*44:03-C*07:02-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 1,867  B*38:01-DRB1*07:01  Italy pop 5 0.2600975
 1,868  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.25951,734
 1,869  A*01:01-B*44:03-DRB1*07:01  Israel USSR Jews 0.259045,681
 1,870  A*02:02-B*15:17-DRB1*07:01  Israel Ethiopia Jews 0.25905,928
 1,871  A*32:01-B*51:01-DRB1*07:01  Israel Bukhara Jews 0.25902,317
 1,872  A*01:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.258420,653
 1,873  A*02:01-B*40:01-C*03:04-DRB1*07:01  Germany DKMS - France minority 0.25801,406
 1,874  A*02:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - Austria minority 0.25801,698
 1,875  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.258011,446
 1,876  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Belgium 0.257931,412
 1,877  A*03:01-B*38:01-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 1,878  A*23:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 1,879  A*24:02-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 1,880  A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 1,881  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 1,882  A*26:01-B*46:01-C*01:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 1,883  A*30:01-B*35:15-C*04:01-DRB1*07:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 1,884  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.25691,075
 1,885  A*03:01-B*38:01-DRB1*07:01  Hong Kong Chinese cord blood registry 0.25673,892
 1,886  A*02:02-B*44:03-DRB1*07:01  Israel Morocco Jews 0.256036,718
 1,887  A*26:01-B*55:01-DRB1*07:01  Israel Iran Jews 0.25608,153
 1,888  A*24:03-B*51:06-C*12:04-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.255411,499
 1,889  A*03:01-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - France minority 0.25501,406
 1,890  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.25501,176
 1,891  A*30:02-B*13:02-DRB1*07:01  Israel Bukhara Jews 0.25502,317
 1,892  A*11:01-B*35:01-C*04:01-DRB1*07:01  Germany DKMS - Austria minority 0.25301,698
 1,893  A*26:01-B*38:01-DRB1*07:01  Israel USA Jews 0.25306,058
 1,894  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.252923,595
 1,895  A*23:01-B*44:03-DRB1*07:01  Israel Argentina Jews 0.25204,307
 1,896  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.25174,204
 1,897  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.250828,927
 1,898  A*03:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.25001,406
 1,899  A*02:02-B*07:05-DRB1*07:01  Israel YemenJews 0.249015,542
 1,900  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.24904,856

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 1,801 to 1,900 (from 13,496) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 135  


   

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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