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 275 (from 275) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01684,204
 202  A*24:02-B*58:01-C*03:02-DRB1*13:02  Hong Kong Chinese BMDR 0.01647,595
 203  A*29:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01444,204
 204  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.01355,829
 205  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01345,266
 206  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.01342,403
 207  A*32:01-B*58:01-C*03:02-DRB1*13:02  Hong Kong Chinese BMDR 0.01307,595
 208  A*01:01-B*58:01-C*03:02-DRB1*13:02  Poland DKMS 0.012420,653
 209  A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.012023,595
 210  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.01201,999
 211  A*69:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.01201,999
 212  A*01:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:03  India Central UCBB 0.01194,204
 213  A*02:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 214  A*02:06-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 215  A*26:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:03  India Central UCBB 0.01194,204
 216  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09-DPB1*02:01  Germany DKMS - German donors 0.01173,456,066
 217  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 218  A*31:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  USA Asian pop 2 0.01101,772
 219  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.01102,411
 220  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  USA Asian pop 2 0.01101,772
 221  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.010723,595
 222  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 223  A*11:02-B*58:01-C*03:02-DRB1*13:02  Japan pop 16 0.010018,604
 224  A*25:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 225  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 226  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 227  A*02:07:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 228  A*32:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 229  A*02:06-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008711,446
 230  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00875,266
 231  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 232  A*03:01-B*58:01-C*03:02-DRB1*13:02-DQB1*03:01  India West UCBB 0.00865,829
 233  A*03:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 234  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 235  A*24:07-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00865,849
 236  A*24:17-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 237  A*29:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 238  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04  India North UCBB 0.00855,849
 239  A*26:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:01  India North UCBB 0.00855,849
 240  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04  India North UCBB 0.00855,849
 241  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.008423,595
 242  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.007823,595
 243  A*11:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00755,266
 244  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.006723,595
 245  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00645,266
 246  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00595,266
 247  A*30:04-B*58:01-C*03:02-DRB1*13:02  Poland DKMS 0.005720,653
 248  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00555,266
 249  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00535,266
 250  A*32:01-B*58:01-C*03:02-DRB1*13:02  Poland DKMS 0.005220,653
 251  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 252  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00505,266
 253  A*02:01-B*58:01-C*03:02-DRB1*13:02  Japan pop 16 0.005018,604
 254  A*24:20-B*58:01-C*03:02-DRB1*13:02  Japan pop 16 0.005018,604
 255  A*31:01-B*58:01-C*03:02-DRB1*13:02  Japan pop 16 0.005018,604
 256  A*32:01-B*58:01-C*03:02-DRB1*13:02  Japan pop 16 0.005018,604
 257  A*02:07:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00495,266
 258  A*11:01-B*58:01-C*03:02-DRB1*13:02  Poland DKMS 0.004720,653
 259  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:03  India South UCBB 0.004411,446
 260  A*02:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 261  A*03:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 262  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 263  A*30:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 264  A*68:24-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 265  A*30:04:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004223,595
 266  A*23:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004123,595
 267  A*03:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.002511,446
 268  A*33:12-B*58:01-C*03:02-DRB1*13:02  Poland DKMS 0.002420,653
 269  A*66:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 270  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:02:01  Poland BMR 0.002123,595
 271  A*02:30:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:03:01  Poland BMR 0.002123,595
 272  A*03:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 273  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 274  A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 275  A*03:01-B*58:01-C*03:02-DRB1*13:02  Poland DKMS 0.002020,653

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 201 to 275 (from 275) 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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