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 267 (from 267) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*33:03-B*44:03-C*14:03-DRB1*14:05  Japan pop 16 0.010018,604
 202  A*02:01:01-B*44:03:01-C*14:03:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 203  A*11:01-B*44:03-C*14:03-DRB1*04:05-DQB1*03:02  India West UCBB 0.00865,829
 204  A*11:01-B*44:03-C*14:03-DRB1*04:05-DQB1*06:03  India West UCBB 0.00865,829
 205  A*11:01-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 206  A*24:33-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 207  A*33:03-B*44:03-C*14:03-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 208  A*33:03-B*44:03-C*14:03-DRB1*04:04-DQB1*03:02  India West UCBB 0.00865,829
 209  A*33:03-B*44:03-C*14:03-DRB1*07:01-DQB1*03:02  India West UCBB 0.00865,829
 210  A*68:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 211  A*24:02-B*44:03-C*14:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 212  A*26:01-B*44:03-C*14:03-DRB1*04:05  Poland DKMS 0.007220,653
 213  B*44:03-C*14:03  China Hubei Han 0.00673,732
 214  A*33:03-B*44:03-C*14:03-DRB1*15:01  Hong Kong Chinese BMDR 0.00667,595
 215  A*26:01:01-B*44:03:01-C*14:03-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.006423,595
 216  A*01:01-B*44:03-C*14:03-DRB1*04:05  Japan pop 16 0.005018,604
 217  A*01:01-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 0.005018,604
 218  A*02:01-B*44:03-C*14:03-DRB1*09:01  Japan pop 16 0.005018,604
 219  A*02:01-B*44:03-C*14:03-DRB1*15:02  Japan pop 16 0.005018,604
 220  A*02:06-B*44:03-C*14:03-DRB1*04:06  Japan pop 16 0.005018,604
 221  A*02:06-B*44:03-C*14:03-DRB1*14:03  Japan pop 16 0.005018,604
 222  A*02:07-B*44:03-C*14:03-DRB1*09:01  Japan pop 16 0.005018,604
 223  A*02:07-B*44:03-C*14:03-DRB1*14:54  Japan pop 16 0.005018,604
 224  A*02:07-B*44:03-C*14:03-DRB1*15:01  Japan pop 16 0.005018,604
 225  A*02:10-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 0.005018,604
 226  A*11:01-B*44:03-C*14:03-DRB1*08:03  Japan pop 16 0.005018,604
 227  A*24:02-B*44:03-C*14:03-DRB1*01:01  Japan pop 16 0.005018,604
 228  A*24:02-B*44:03-C*14:03-DRB1*04:03  Japan pop 16 0.005018,604
 229  A*24:02-B*44:03-C*14:03-DRB1*04:05  Japan pop 16 0.005018,604
 230  A*24:02-B*44:03-C*14:03-DRB1*09:01  Japan pop 16 0.005018,604
 231  A*24:02-B*44:03-C*14:03-DRB1*12:02  Japan pop 16 0.005018,604
 232  A*24:08-B*44:03-C*14:03-DRB1*14:05  Japan pop 16 0.005018,604
 233  A*24:20-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 0.005018,604
 234  A*24:20-B*44:03-C*14:03-DRB1*16:02  Japan pop 16 0.005018,604
 235  A*26:01-B*44:03-C*14:03-DRB1*15:01  Japan pop 16 0.005018,604
 236  A*26:01-B*44:03-C*14:03-DRB1*15:02  Japan pop 16 0.005018,604
 237  A*26:03-B*44:03-C*14:03-DRB1*04:05  Japan pop 16 0.005018,604
 238  A*26:03-B*44:03-C*14:03-DRB1*08:03  Japan pop 16 0.005018,604
 239  A*31:01-B*44:03-C*14:03-DRB1*08:02  Japan pop 16 0.005018,604
 240  A*33:03-B*44:03-C*14:03-DRB1*04:01  Japan pop 16 0.005018,604
 241  A*33:03-B*44:03-C*14:03-DRB1*04:04  Japan pop 16 0.005018,604
 242  A*33:03-B*44:03-C*14:03-DRB1*04:10  Japan pop 16 0.005018,604
 243  A*33:03-B*44:03-C*14:03-DRB1*12:02  Japan pop 16 0.005018,604
 244  A*33:03-B*44:03-C*14:03-DRB1*14:07  Japan pop 16 0.005018,604
 245  A*33:03-B*44:03-C*14:03-DRB1*16:02  Japan pop 16 0.005018,604
 246  A*26:01-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India South UCBB 0.004511,446
 247  A*03:01-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India South UCBB 0.004411,446
 248  A*11:01-B*44:03-C*14:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 249  A*31:01-B*44:03-C*14:03-DRB1*04:05-DQB1*03:02  India South UCBB 0.004411,446
 250  A*31:01-B*44:03-C*14:03-DRB1*08:03-DQB1*03:01  India South UCBB 0.004411,446
 251  A*31:01-B*44:03-C*14:03-DRB1*13:03-DQB1*03:29  India South UCBB 0.004411,446
 252  A*33:03-B*44:03-C*14:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 253  A*33:03-B*44:03-C*14:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 254  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Vietnamese 0.002943,540
 255  A*24:03-B*44:03-C*14:03-DRB1*04:05  Poland DKMS 0.002420,653
 256  A*26:01-B*44:03-C*14:03-DRB1*04:02  Poland DKMS 0.002420,653
 257  A*26:01-B*44:03-C*14:03-DRB1*16:01  Poland DKMS 0.002420,653
 258  A*02:01:01-B*44:03:01-C*14:03-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 259  A*31:01:02-B*44:03:01-C*14:03-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 260  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Southeast Asian 0.000881027,978
 261  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Caribean Hispanic 0.0004330115,374
 262  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Filipino 0.000420050,614
 263  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Mexican or Chicano 0.0002320261,235
 264  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.0001040185,391
 265  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African American pop 2 0.0000530416,581
 266  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP European Caucasian 0.00004231,242,890
 267  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Middle Eastern or North Coast of Africa 0.000008070,890

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 267 (from 267) 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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