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 2,101 to 2,200 (from 2,297) records   Pages: 21 22 23 of 23  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 2,101  A*02:09-B*48:01-C*08:03-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 2,102  A*02:11-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 2,103  A*03:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 2,104  A*03:01-B*48:04-C*01:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 2,105  A*11:01-B*48:01-C*03:04-DRB1*04:05  Hong Kong Chinese BMDR 0.00447,595
 2,106  A*11:01-B*48:01-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 2,107  A*11:01-B*48:01-C*08:01-DRB1*15:04-DQB1*05:02  India South UCBB 0.004411,446
 2,108  A*11:01-B*48:01-C*08:03-DRB1*15:06-DQB1*05:02  India South UCBB 0.004411,446
 2,109  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 2,110  A*24:02-B*48:01-C*08:01-DRB1*14:10-DQB1*05:10  India South UCBB 0.004411,446
 2,111  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQB1*06:48  India South UCBB 0.004411,446
 2,112  A*24:02-B*48:01-C*08:03-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 2,113  A*24:02-B*48:01-C*08:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 2,114  A*24:02-B*48:01-C*08:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 2,115  A*24:02-B*48:01-C*08:03-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 2,116  A*24:17-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01  India South UCBB 0.004411,446
 2,117  A*26:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 2,118  A*30:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 2,119  A*32:01-B*48:04-C*01:02-DRB1*04:01-DQB1*03:01  India South UCBB 0.004411,446
 2,120  A*32:01-B*48:04-C*01:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 2,121  A*32:01-B*48:04-C*01:02-DRB1*12:71-DQB1*03:01  India South UCBB 0.004411,446
 2,122  A*32:01-B*48:04-C*01:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 2,123  A*32:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 2,124  A*32:11Q-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 2,125  A*32:11Q-B*48:04-C*01:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 2,126  A*33:03-B*48:01-C*08:03-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 2,127  A*33:03-B*48:04-C*01:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 2,128  A*69:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 2,129  A*02:04-B*48:01-DRB1*11:01  Israel USSR Jews 0.004445,681
 2,130  A*02:06-B*48:01-DRB1*09:01  Israel USSR Jews 0.004445,681
 2,131  A*02:01-B*48:01-DRB1*03:01  Israel Poland Jews 0.004413,871
 2,132  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004311,446
 2,133  A*02:11-B*48:01-C*08:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.004311,446
 2,134  A*11:01-B*48:01-C*08:01-DRB1*04:04  Hong Kong Chinese BMDR 0.00437,595
 2,135  A*24:10-B*48:01-C*15:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00437,595
 2,136  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 2,137  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.004223,595
 2,138  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 2,139  A*68:01-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.004211,446
 2,140  A*26:01-B*48:01-DRB1*15:01  Israel USA Jews 0.00416,058
 2,141  A*26:01-B*48:01-DRB1*15:02  Israel USA Jews 0.00416,058
 2,142  A*32:01-B*48:01-DRB1*09:01  Israel USSR Jews 0.004145,681
 2,143  A*02:01-B*48:01-DRB1*03:01  Israel USSR Jews 0.004145,681
 2,144  A*02:05-B*48:05-DRB1*11:04  Israel Arab pop 2 0.004112,301
 2,145  A*03-B*48-DRB1*16  Brazil South East Cord Blood 0.004011,409
 2,146  A*23-B*48-DRB1*16  Brazil South East Cord Blood 0.004011,409
 2,147  A*24:02-B*48:01-C*08:03-DRB1*09:01  Hong Kong Chinese BMDR 0.00407,595
 2,148  A*24-B*48-DRB1*12  Brazil South East Cord Blood 0.004011,409
 2,149  A*24-B*48-DRB1*14  Brazil South East Cord Blood 0.004011,409
 2,150  A*66-B*48-DRB1*10  Brazil South East Cord Blood 0.004011,409
 2,151  A*02:01-B*48:01-C*03:03-DRB1*09:01  Hong Kong Chinese BMDR 0.00397,595
 2,152  A*33:03-B*48:01-C*08:01-DRB1*16:02  Hong Kong Chinese BMDR 0.00397,595
 2,153  A*26:01-B*48:04-DRB1*04:02  Israel Iraq Jews 0.003813,270
 2,154  A*26:01-B*48:01-DRB1*11:04  Israel Poland Jews 0.003713,871
 2,155  A*02:01-B*48:01-C*03:04-DRB1*08:03  Hong Kong Chinese BMDR 0.00377,595
 2,156  A*33:03-B*48:01-C*04:01-DRB1*04:05  Hong Kong Chinese BMDR 0.00377,595
 2,157  A*02:06-B*48:01-DRB1*13:01  Israel Poland Jews 0.003613,871
 2,158  A*02:11-B*48:01-C*08:01-DRB1*12:02-DQB1*05:03  India South UCBB 0.003611,446
 2,159  A*24:02-B*48:01-DRB1*12:01  Israel Poland Jews 0.003613,871
 2,160  A*02:11-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.003511,446
 2,161  A*24:02-B*48:01-C*08:03-DRB1*13:12  Hong Kong Chinese BMDR 0.00357,595
 2,162  A*02:06-B*48:01-DRB1*03:01  Israel Poland Jews 0.003513,871
 2,163  A*02:01-B*48:01-C*03:03-DRB1*12:01  Hong Kong Chinese BMDR 0.00347,595
 2,164  A*02:03-B*48:03-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.00347,595
 2,165  A*24:02-B*48:01-C*08:01-DRB1*01:01  Hong Kong Chinese BMDR 0.00347,595
 2,166  A*33:03-B*48:03-C*08:01-DRB1*03:01  Hong Kong Chinese BMDR 0.00347,595
 2,167  A*03:01:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.003323,595
 2,168  A*02:02-B*48:01-DRB1*04:02  Israel Tunisia Jews 0.00339,070
 2,169  A*02:02-B*48:01-DRB1*04:03  Israel Tunisia Jews 0.00339,070
 2,170  A*02:02-B*48:01-DRB1*04:04  Israel Tunisia Jews 0.00339,070
 2,171  A*02:02-B*48:01-DRB1*04:05  Israel Tunisia Jews 0.00339,070
 2,172  A*02:02-B*48:01-DRB1*04:06  Israel Tunisia Jews 0.00339,070
 2,173  A*02:06-B*48:01-DRB1*11:04  Israel YemenJews 0.003215,542
 2,174  A*31:01-B*48:01-DRB1*12:01  Israel USSR Jews 0.003145,681
 2,175  A*02:01-B*48:01-DRB1*15:01  Israel USSR Jews 0.003045,681
 2,176  A*30:01-B*48:01-DRB1*01:02  Israel Poland Jews 0.003013,871
 2,177  A*24-B*48-DRB1*10  Brazil South East Cord Blood 0.003011,409
 2,178  A*25:01-B*48:01-DRB1*12:01  Israel USSR Jews 0.003045,681
 2,179  A*24:02-B*48:01-C*08:01-DRB1*11:01-DRB3*02:02-DQB1*03:01  USA NMDP Japanese 0.002824,582
 2,180  A*66:01-B*48:01-DRB1*16:02  Israel Tunisia Jews 0.00289,070
 2,181  A*24:02-B*48:01-C*08:01-DRB1*11:01-DRB3*02:02-DQB1*03:01  USA NMDP North American Amerindian 0.002735,791
 2,182  A*24:02-B*48:01-C*08:01-DRB1*11:01-DRB3*02:02-DQB1*03:01  USA NMDP Mexican or Chicano 0.0026261,235
 2,183  A*02:01-B*48:01  China Hubei Han 0.00263,732
 2,184  A*02:06-B*48:01-DRB1*13:05  Israel Poland Jews 0.002613,871
 2,185  A*02:01-B*48:01-C*08:03-DRB1*08:01  Poland DKMS 0.002520,653
 2,186  A*02:06-B*48:01-DRB1*15:01  Israel USSR Jews 0.002545,681
 2,187  A*68:02-B*48:01-DRB1*07:01  Israel USSR Jews 0.002545,681
 2,188  A*31:08-B*48:01-DRB1*09:01  Israel USSR Jews 0.002445,681
 2,189  A*01:01-B*48:01-C*08:01-DRB1*09:01  Poland DKMS 0.002420,653
 2,190  A*01:01-B*48:01-C*08:01-DRB1*11:01  Poland DKMS 0.002420,653
 2,191  A*02:06-B*48:01-C*08:03-DRB1*04:01  Poland DKMS 0.002420,653
 2,192  A*02:06-B*48:01-C*08:03-DRB1*11:01  Poland DKMS 0.002420,653
 2,193  A*02:06-B*48:01-C*08:03-DRB1*12:01  Poland DKMS 0.002420,653
 2,194  A*03:01-B*48:01-C*08:03-DRB1*03:01  Poland DKMS 0.002420,653
 2,195  A*24:02-B*48:01-C*08:01-DRB1*07:01  Poland DKMS 0.002420,653
 2,196  A*24:02-B*48:01-C*08:03-DRB1*08:02  Poland DKMS 0.002420,653
 2,197  A*26:01-B*48:01-C*08:03-DRB1*09:01  Poland DKMS 0.002420,653
 2,198  A*26:01-B*48:01-C*08:03-DRB1*13:01  Poland DKMS 0.002420,653
 2,199  A*32:01-B*48:01-DRB1*11:04  Israel USSR Jews 0.002445,681
 2,200  A*02:06-B*48:01-C*08:03-DRB1*09:01  Poland DKMS 0.002320,653

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 2,101 to 2,200 (from 2,297) records   Pages: 21 22 23 of 23  


   

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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