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 201 to 252 (from 252) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*68:01-B*37:01-C*04:01-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 202  A*03:02-B*37:01-C*01:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 203  A*03:01-B*37:01-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 204  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 205  A*68:01-B*37:01-C*12:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00995,829
 206  A*24:02-B*37:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00905,829
 207  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00905,829
 208  A*29:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00895,829
 209  A*02:06-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01  India South UCBB 0.008711,446
 210  A*02:01-B*37:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 211  A*02:20-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 212  A*11:01-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 213  A*24:02-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00865,849
 214  A*24:33-B*37:01-C*12:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 215  A*30:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 216  A*31:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 217  A*31:12-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 218  A*31:16-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 219  A*32:01-B*37:01-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.00865,849
 220  A*32:01-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 221  A*01:01-B*37:01-C*06:35-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 222  A*01:01-B*37:01-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 223  A*02:05-B*37:01-C*12:03-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 224  A*02:11-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 225  A*11:01-B*37:01-C*07:04-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 226  A*24:07-B*37:01-C*07:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 227  A*26:01-B*37:01-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 228  A*02:09-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.007411,446
 229  A*02:06-B*37:01-C*06:27-DRB1*10:01-DQB1*05:01  India North UCBB 0.00685,849
 230  A*11:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01  India South UCBB 0.005511,446
 231  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.005123,595
 232  A*02:11-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01  India South UCBB 0.004811,446
 233  A*24:02-B*37:01-C*12:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004711,446
 234  A*02:01-B*37:01-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 235  A*02:01-B*37:01-C*07:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 236  A*02:06-B*37:01-C*06:30-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 237  A*02:131-B*37:01-C*12:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 238  A*03:01-B*37:01-C*04:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 239  A*11:01-B*37:01-C*07:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 240  A*24:07-B*37:01-C*03:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 241  A*26:01-B*37:01-C*12:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 242  A*31:01-B*37:01-C*05:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 243  A*32:01-B*37:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 244  A*33:03-B*37:01-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 245  A*68:01-B*37:01-C*02:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 246  A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 247  A*01:01:01-B*37:01:01-C*06:70:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 248  A*24:02:01-B*37:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 249  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 250  A*68:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 251  A*32:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.001723,595
 252  A*25:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.000539423,595

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 201 to 252 (from 252) records   Pages: 1 2 3 of 3  


   

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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