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 3,701 to 3,800 (from 4,145) records   Pages: 31 32 33 34 35 36 37 38 39 40 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 3,701  A*11:01-B*40:02-DRB1*10:01  Israel Poland Jews 0.004213,871
 3,702  A*24:04-B*40:02-DRB1*07:01  Israel USSR Jews 0.004145,681
 3,703  A*11:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004123,595
 3,704  A*11:01-B*40:02-C*01:02-DRB1*14:54  Hong Kong Chinese BMDR 0.00417,595
 3,705  A*11:01-B*40:02-DRB1*11:01  Israel USSR Jews 0.004145,681
 3,706  A*24:02-B*40:02-DRB1*11:04  Israel Arab pop 2 0.004112,301
 3,707  A*02:01-B*40:02-DRB1*01:01  Israel Arab pop 2 0.004112,301
 3,708  A*02:01-B*40:02-DRB1*10:01  Israel Arab pop 2 0.004112,301
 3,709  A*02:04-B*40:02-DRB1*04:11  Israel Arab pop 2 0.004112,301
 3,710  A*11:01-B*40:02-DRB1*11:04  Israel Arab pop 2 0.004112,301
 3,711  A*23:01-B*40:02-DRB1*15:03  Israel Arab pop 2 0.004112,301
 3,712  A*24:02-B*40:02-DRB1*08:03  Israel Arab pop 2 0.004112,301
 3,713  A*24:02-B*40:02-DRB1*14:04  Israel Arab pop 2 0.004112,301
 3,714  A*29:02-B*40:02-DRB1*13:02  Israel Arab pop 2 0.004112,301
 3,715  A*68:02-B*40:02-DRB1*04:04  Israel Arab pop 2 0.004112,301
 3,716  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004023,595
 3,717  A*02:01-B*40:02-DRB1*08:01  Israel USSR Jews 0.004045,681
 3,718  A*11:01-B*40:02-C*02:02-DRB1*15:01  Poland DKMS 0.004020,653
 3,719  A*31:01-B*40:02-C*02:02-DRB1*16:01  Poland DKMS 0.004020,653
 3,720  A*31:01-B*40:02-C*14:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.004011,446
 3,721  A*03:01-B*40:02-DRB1*11:01  Israel Morocco Jews 0.003936,718
 3,722  A*11:01-B*40:02-C*15:02-DRB1*16:02  Hong Kong Chinese BMDR 0.00397,595
 3,723  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.003923,595
 3,724  A*03:02-B*40:02-DRB1*11:04  Israel Poland Jews 0.003813,871
 3,725  A*11:01-B*40:02  China Hubei Han 0.00383,732
 3,726  A*24:02-B*40:02-C*02:02-DRB1*01:01  Poland DKMS 0.003820,653
 3,727  A*32:01-B*40:02-DRB1*04:02  Israel Poland Jews 0.003813,871
 3,728  A*02:01-B*40:02-DRB1*11:01  Israel Iraq Jews 0.003813,270
 3,729  A*11:01-B*40:02-DRB1*11:01  Israel Iraq Jews 0.003813,270
 3,730  A*24:02-B*40:02-DRB1*01:02  Israel Iraq Jews 0.003813,270
 3,731  A*24:02-B*40:02-DRB1*04:07  Israel Iraq Jews 0.003813,270
 3,732  A*31:08-B*40:02-DRB1*13:05  Israel USSR Jews 0.003745,681
 3,733  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.003723,595
 3,734  A*01:01-B*40:02-C*02:02-DRB1*11:04  Poland DKMS 0.003720,653
 3,735  A*11:01-B*40:02-DRB1*03:01  Israel Poland Jews 0.003713,871
 3,736  A*11:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.003723,595
 3,737  A*01:01-B*40:02-DRB1*04:01  Israel Poland Jews 0.003613,871
 3,738  A*01:01-B*40:02-DRB1*16:02  Israel Poland Jews 0.003613,871
 3,739  A*02:01-B*40:02-DRB1*12:02  Israel Poland Jews 0.003613,871
 3,740  A*03:01-B*40:02-DRB1*16:02  Israel Poland Jews 0.003613,871
 3,741  A*11:01-B*40:02-C*15:02-DRB1*11:01  Hong Kong Chinese BMDR 0.00367,595
 3,742  A*24:02-B*40:02-DRB1*16:01  Israel Poland Jews 0.003613,871
 3,743  A*24:04-B*40:02-DRB1*11:03  Israel Poland Jews 0.003613,871
 3,744  A*24:04-B*40:02-DRB1*14:01  Israel Poland Jews 0.003613,871
 3,745  A*30:01-B*40:02-DRB1*11:01  Israel Poland Jews 0.003613,871
 3,746  A*32:01-B*40:02-DRB1*11:01  Israel Poland Jews 0.003613,871
 3,747  A*33:03-B*40:02-C*03:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00367,595
 3,748  A*01:01-B*40:02-DRB1*16:01  Israel Poland Jews 0.003613,871
 3,749  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003523,595
 3,750  A*01:01-B*40:02-DRB1*16:02  Israel USSR Jews 0.003545,681
 3,751  A*02:05-B*40:02-DRB1*08:03  Israel Arab pop 2 0.003512,301
 3,752  A*11:01-B*40:02-DRB1*13:01  Israel Poland Jews 0.003513,871
 3,753  A*24:02-B*40:02-DRB1*11:03  Israel Poland Jews 0.003513,871
 3,754  A*02:01:01-B*40:02:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003523,595
 3,755  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.003423,595
 3,756  A*03:01-B*40:02-DRB1*11:01  Israel USSR Jews 0.003445,681
 3,757  A*11:01-B*40:02-C*04:01-DRB1*15:01  Hong Kong Chinese BMDR 0.00347,595
 3,758  A*24:02-B*40:02-C*03:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00345,849
 3,759  A*32:01-B*40:02-DRB1*14:01  Israel Poland Jews 0.003413,871
 3,760  A*24:02-B*40:02-DRB1*15:01  Israel USSR Jews 0.003445,681
 3,761  A*32:01-B*40:02-DRB1*08:01  Israel USSR Jews 0.003345,681
 3,762  A*11:01:01-B*40:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003323,595
 3,763  A*03:01-B*40:02-C*02:02-DRB1*08:01  Poland DKMS 0.003320,653
 3,764  A*24:02-B*40:02-C*15:02-DRB1*07:01  Hong Kong Chinese BMDR 0.00337,595
 3,765  A*24:02-B*40:02-C*15:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.003311,446
 3,766  A*68:01-B*40:02-C*02:02-DRB1*03:01  Poland DKMS 0.003320,653
 3,767  A*03:01-B*40:02-DRB1*09:01  Israel USSR Jews 0.003345,681
 3,768  A*24:04-B*40:02-DRB1*04:01  Israel USSR Jews 0.003345,681
 3,769  A*31:01-B*40:02-DRB1*11:01  Israel USSR Jews 0.003345,681
 3,770  A*03:01-B*40:02-DRB1*08:02  Israel USSR Jews 0.003345,681
 3,771  A*02:01-B*40:02-DRB1*08:03  Israel YemenJews 0.003215,542
 3,772  A*02:01-B*40:02-DRB1*10:01  Israel YemenJews 0.003215,542
 3,773  A*33:01-B*40:02-DRB1*07:01  Israel YemenJews 0.003215,542
 3,774  A*33:03-B*40:02-DRB1*04:03  Israel YemenJews 0.003215,542
 3,775  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.003223,595
 3,776  A*31:01-B*40:02-DRB1*01:01  Israel USSR Jews 0.003245,681
 3,777  A*02:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003223,595
 3,778  A*11:01-B*40:02-DRB1*16:01  Israel Poland Jews 0.003113,871
 3,779  A*24:02-B*40:02-C*03:04-DRB1*13:01  Poland DKMS 0.003120,653
 3,780  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003023,595
 3,781  A*03:01-B*40:02-C*02:02-DRB1*07:01  Poland DKMS 0.003020,653
 3,782  A*26:01-B*40:02-C*02:02-DRB1*04:04  Poland DKMS 0.003020,653
 3,783  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003023,595
 3,784  A*11:01-B*40:02-DRB1*07:01  Israel USSR Jews 0.003045,681
 3,785  A*23:01-B*40:02-DRB1*11:04  Israel Poland Jews 0.003013,871
 3,786  A*26:01-B*40:02-DRB1*12:01  Israel Poland Jews 0.003013,871
 3,787  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003023,595
 3,788  A*02:01-B*40:02-C*02:02-DRB1*04:04  Poland DKMS 0.002920,653
 3,789  A*11:01-B*40:02-C*02:02-DRB1*13:01  Poland DKMS 0.002920,653
 3,790  A*24:02:01-B*40:02:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002923,595
 3,791  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002923,595
 3,792  A*24:02-B*40:02-C*03:04-DRB1*11:03  Poland DKMS 0.002820,653
 3,793  A*24:04-B*40:02-DRB1*11:01  Israel USSR Jews 0.002845,681
 3,794  A*30:01-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.002820,653
 3,795  A*32:01-B*40:02-C*02:02-DRB1*04:04  Poland DKMS 0.002820,653
 3,796  A*24:17-B*40:02-DRB1*11:01  Israel Tunisia Jews 0.00289,070
 3,797  A*31:08-B*40:02-DRB1*11:01  Israel Tunisia Jews 0.00289,070
 3,798  A*03:01:01-B*40:02:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002723,595
 3,799  A*03:01:01-B*40:02:01-C*03:04:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002723,595
 3,800  A*02:01-B*40:02  China Hubei Han 0.00273,732

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 3,701 to 3,800 (from 4,145) records   Pages: 31 32 33 34 35 36 37 38 39 40 of 42  


   

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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