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 14,801 to 14,900 (from 15,474) records   Pages: 141 142 143 144 145 146 147 148 149 150 of 155  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 14,801  A*03:01-B*45:01-C*06:02-DRB1*13:02  Poland DKMS 0.001820,653
 14,802  A*03:01-B*57:01-C*06:02-DRB1*03:01  Poland DKMS 0.001820,653
 14,803  A*03:02-B*27:02-DRB1*08:01  Israel USSR Jews 0.001845,681
 14,804  A*03:02-B*35:02-DRB1*16:07  Israel Poland Jews 0.001813,871
 14,805  A*03:02-B*35:08-DRB1*16:07  Israel Poland Jews 0.001813,871
 14,806  A*03:02-B*44:03-DRB1*04:08  Israel Poland Jews 0.001813,871
 14,807  A*03:02-B*45:01-DRB1*15:01  Israel Poland Jews 0.001813,871
 14,808  A*03:02-B*45:01-DRB1*15:02  Israel Poland Jews 0.001813,871
 14,809  A*03:02-B*52:01-C*12:02-DRB1*15:02  Poland DKMS 0.001820,653
 14,810  A*03:02-B*52:01-C*12:02-DRB1*15:19  Poland DKMS 0.001820,653
 14,811  A*03:04-B*15:01-DRB1*11:04  Israel Poland Jews 0.001813,871
 14,812  A*03:01-B*51:01-DRB1*08:01  Israel Morocco Jews 0.001836,718
 14,813  A*03:02-B*13:02-DRB1*13:01  Israel Morocco Jews 0.001836,718
 14,814  A*03:01:01-B*18:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.001823,595
 14,815  A*03:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001823,595
 14,816  A*03:01-B*07:02-DRB1*01:02  Israel USSR Jews 0.001845,681
 14,817  A*03:01-B*40:02-DRB1*15:02  Israel USSR Jews 0.001845,681
 14,818  A*03:02-B*50:01-DRB1*04:02  Israel Morocco Jews 0.001836,718
 14,819  A*03:02-B*52:01-DRB1*10:01  Israel USSR Jews 0.001845,681
 14,820  A*03:01:01-B*55:01:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.001823,595
 14,821  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*04:07:01-DQB1*02:01:01  Poland BMR 0.001823,595
 14,822  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*05:03:01  Poland BMR 0.001823,595
 14,823  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.001823,595
 14,824  A*03:01:01-B*15:01:01-C*03:04:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.001723,595
 14,825  A*03:01-B*27:07-DRB1*16:01  Israel USSR Jews 0.001745,681
 14,826  A*03:01-B*53:01-DRB1*13:02  Israel Morocco Jews 0.001736,718
 14,827  A*03:02-B*35:02-DRB1*11:01  Israel USSR Jews 0.001745,681
 14,828  A*03:01-B*15:01-DRB1*07:01  Israel USSR Jews 0.001745,681
 14,829  A*03:02-B*58:01-DRB1*08:01  Israel USSR Jews 0.001745,681
 14,830  A*03:01:01-B*27:02:01-C*02:02:02-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 14,831  A*03:01-B*58:01-DRB1*03:01  Israel USSR Jews 0.001745,681
 14,832  A*03:01-B*35:01-C*02:02-DRB1*13:02  Poland DKMS 0.001720,653
 14,833  A*03:01-B*44:02-C*16:04-DRB1*11:01  Poland DKMS 0.001720,653
 14,834  A*03:01-B*49:01-C*07:01-DRB1*13:01  Poland DKMS 0.001720,653
 14,835  A*03:01-B*51:01  China Hubei Han 0.00173,732
 14,836  A*03:01-B*52:01-C*12:02-DRB1*07:01  Poland DKMS 0.001720,653
 14,837  A*03:01-B*52:01-C*12:16-DRB1*07:01  Poland DKMS 0.001720,653
 14,838  A*03:01-C*12:03  China Hubei Han 0.00173,732
 14,839  A*03-B*41-DRB1*03  Brazil Para State 0.00175,000
 14,840  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.001723,595
 14,841  A*03:01-B*44:05-DRB1*14:01  Israel USSR Jews 0.001745,681
 14,842  A*03:02-B*38:01-DRB1*13:03  Israel YemenJews 0.001715,542
 14,843  A*03:02-B*51:01-DRB1*14:01  Israel USSR Jews 0.001745,681
 14,844  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:02:01  Poland BMR 0.001723,595
 14,845  A*03:01:01-B*40:01:02-C*06:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 14,846  A*03:01-B*39:12-DRB1*11:04  Israel USSR Jews 0.001745,681
 14,847  A*03:01-B*51:01-DRB1*16:01  Israel USSR Jews 0.001745,681
 14,848  A*03:02-B*13:02-DRB1*01:02  Israel USSR Jews 0.001745,681
 14,849  A*03:01-B*58:01-DRB1*11:01  Israel USSR Jews 0.001745,681
 14,850  A*03:02-B*07:05-DRB1*11:04  Israel USSR Jews 0.001745,681
 14,851  A*03:02-B*35:03-DRB1*13:02  Israel USSR Jews 0.001745,681
 14,852  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.001623,595
 14,853  A*03:01-B*35:02-DRB1*13:03  Israel USSR Jews 0.001645,681
 14,854  A*03:01-B*51:08-DRB1*07:01  Israel USSR Jews 0.001645,681
 14,855  A*03:02-B*40:01-DRB1*13:02  Israel Morocco Jews 0.001636,718
 14,856  A*03:01:01-B*44:02:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001623,595
 14,857  A*03:01-B*52:01-DRB1*14:01  Israel Morocco Jews 0.001636,718
 14,858  A*03:02-B*07:03-DRB1*15:01  Israel YemenJews 0.001615,542
 14,859  A*03:02-B*07:11-DRB1*15:01  Israel YemenJews 0.001615,542
 14,860  A*03:02-B*07:13-DRB1*15:01  Israel YemenJews 0.001615,542
 14,861  A*03:02-B*07:17-DRB1*15:01  Israel YemenJews 0.001615,542
 14,862  A*03:02-B*07:32-DRB1*15:01  Israel YemenJews 0.001615,542
 14,863  A*03:02-B*07:41-DRB1*15:01  Israel YemenJews 0.001615,542
 14,864  A*03:02-B*14:02-DRB1*13:03  Israel USSR Jews 0.001645,681
 14,865  A*03:02-B*27:07-DRB1*15:01  Israel YemenJews 0.001615,542
 14,866  A*03:02-B*27:07-DRB1*15:02  Israel YemenJews 0.001615,542
 14,867  A*03:02-B*40:01-DRB1*04:03  Israel Morocco Jews 0.001636,718
 14,868  A*03:02-B*49:01-DRB1*10:01  Israel Morocco Jews 0.001636,718
 14,869  A*03:04-B*52:01-DRB1*07:01  Israel YemenJews 0.001615,542
 14,870  A*03:04-B*52:01-DRB1*15:02  Israel YemenJews 0.001615,542
 14,871  A*03:01-B*07:02-C*07:02-DRB1*15:02  Poland DKMS 0.001620,653
 14,872  A*03:01-B*07:02-C*07:02-DRB1*15:19  Poland DKMS 0.001620,653
 14,873  A*03:01-B*08:01-C*07:01-DRB1*04:04  Poland DKMS 0.001620,653
 14,874  A*03:01-B*14:02-DRB1*04:03  Israel USSR Jews 0.001645,681
 14,875  A*03:01-B*18:01-C*12:03-DRB1*13:05  Poland DKMS 0.001620,653
 14,876  A*03:01-B*18:01-DRB1*11:01  Israel USSR Jews 0.001645,681
 14,877  A*03:01-B*27:05-C*01:02-DRB1*16:01  Poland DKMS 0.001620,653
 14,878  A*03:01-B*27:05-C*02:02-DRB1*12:01  Poland DKMS 0.001620,653
 14,879  A*03:01-B*41:02-C*17:01-DRB1*11:04  Poland DKMS 0.001620,653
 14,880  A*03:01-B*44:03-C*04:01-DRB1*10:01  Poland DKMS 0.001620,653
 14,881  A*03:01-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.001611,446
 14,882  A*03:01-C*05:01  China Hubei Han 0.00163,732
 14,883  A*03:02-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.001620,653
 14,884  A*03:01:01-B*27:05:02-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.001623,595
 14,885  A*03-B*51-DRB1*04:124  Chile Santiago 0.0016920
 14,886  A*03-B*51-DRB1*04:133  Chile Santiago 0.0016920
 14,887  A*03:01-B*55:01-DRB1*15:01  Israel USSR Jews 0.001645,681
 14,888  A*03:01:01-B*44:02:01-C*17:03-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.001623,595
 14,889  A*03:01:01-B*39:24:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.001623,595
 14,890  A*03-B*07-DRB1*15:82  Chile Santiago 0.0016920
 14,891  A*03-B*07-DRB1*15:83  Chile Santiago 0.0016920
 14,892  A*03-B*07-DRB1*15:89  Chile Santiago 0.0016920
 14,893  A*03:01-B*07:02-DRB1*04:02  Israel USSR Jews 0.001645,681
 14,894  A*03:01:01-B*51:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001623,595
 14,895  A*03:01:01-B*18:01:01-C*05:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001623,595
 14,896  A*03:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.001623,595
 14,897  A*03:01-B*18:01-DRB1*01:01  Israel Morocco Jews 0.001636,718
 14,898  A*03:02-B*44:03-DRB1*15:01  Israel Morocco Jews 0.001636,718
 14,899  A*03:02:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001623,595
 14,900  A*03:01-B*35:08-DRB1*01:01  Israel USSR Jews 0.001645,681

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 14,801 to 14,900 (from 15,474) records   Pages: 141 142 143 144 145 146 147 148 149 150 of 155  


   

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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