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 : 
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Displaying 301 to 400 (from 598) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  South Africa Worcester 0.3000159
 302  A*02:02-B*57:03-C*16:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 303  A*11:01-B*18:01-C*07:04-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  South Africa Worcester 0.3000159
 304  A*24:07-B*52:01-C*12:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 305  A*26:12-B*41:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  South Africa Worcester 0.3000159
 306  A*30:01-B*58:01-C*06:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 307  A*30:02-B*45:01-C*16:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*18:01  South Africa Worcester 0.3000159
 308  A*32:01-B*40:02-C*02:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  South Africa Worcester 0.3000159
 309  A*68:01-B*58:01-C*06:02-DRB1*15:03-DQA1*01:01-DQB1*05:01-DPB1*16:01  South Africa Worcester 0.3000159
 310  A*24:02-B*40:06-C*15:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.2801714
 311  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.2801714
 312  A*01:01-B*37:01-C*06:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 313  A*02:01-B*08:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 314  A*02:01-B*15:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 315  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 316  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 317  A*02:01-B*27:05-C*01:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 318  A*02:01-B*35:01-C*04:01-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 319  A*02:06-B*27:06-C*04:01-DRB1*16:09-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 320  A*03:01-B*13:02-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 321  A*03:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 322  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQA1*01:01-DQB1*05:01-DPB1*15:01  USA San Diego 0.2600496
 323  A*03:01-B*35:03-C*04:01-DRB1*04:07-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 324  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 325  A*11:01-B*15:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*39:01  USA San Diego 0.2600496
 326  A*11:01-B*27:05-C*01:02-DRB1*04:01-DQA1*01:01-DQB1*05:01-DPB1*51:01  USA San Diego 0.2600496
 327  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 328  A*23:01-B*15:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  USA San Diego 0.2600496
 329  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 330  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 331  A*24:02-B*35:05-C*03:04-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 332  A*24:02-B*51:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 333  A*25:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 334  A*29:02-B*35:01-C*16:01-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 335  A*30:01-B*13:02-C*06:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 336  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 337  A*31:01-B*35:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 338  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  USA San Diego 0.2600496
 339  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.2485833
 340  A*25-B*18-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.2340641
 341  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.23003,078
 342  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 343  A*01:01-B*14:02-C*08:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 344  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.2294218
 345  A*30:02-B*14:02-C*08:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 346  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 347  A*68:05-B*39:05-C*07:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*17:01  Mexico Chiapas Lacandon Mayans 0.2294218
 348  A*01:01-B*14:02-C*16:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 349  A*02:01-B*15:01-C*07:04-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 350  A*02:01-B*40:02-C*03:05-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 351  A*02:01-B*40:02-C*03:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 352  A*02:01-B*40:27-C*18:01-DRB1*04:04-DQA1*01:01-DQB1*05:01-DPB1*18:01  Nicaragua Managua 0.2165339
 353  A*02:02-B*44:02-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 354  A*03:01-B*15:10-C*03:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 355  A*03:01-B*35:01-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 356  A*11:01-B*13:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.2165339
 357  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 358  A*26:01-B*56:01-C*07:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 359  A*30:01-B*13:02-C*06:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 360  A*30:02-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 361  A*30:02-B*14:02-C*08:02-DRB1*13:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 362  A*31:01-B*15:04-C*05:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 363  A*34:02-B*44:03-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 364  A*68:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 365  A*68:02-B*15:03-C*02:10-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*18:01  Nicaragua Managua 0.2165339
 366  A*68:02-B*40:02-C*02:02-DRB1*11:04-DQA1*01:01-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 367  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 368  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.2101714
 369  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.2101714
 370  A*33:03-B*58:01-C*03:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.2101714
 371  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.20003,078
 372  A*24-B*14-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1950641
 373  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1945833
 374  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.1736833
 375  A*03-B*14-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1654641
 376  A*01-B*27-DRB1*14:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 377  A*01-B*51-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 378  A*02-B*07-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 379  A*02-B*37-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 380  A*02-B*40-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 381  A*03-B*52-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 382  A*11-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 383  A*24-B*07-DRB1*11:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 384  A*26-B*57-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 385  A*29-B*07-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 386  A*33-B*14-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 387  A*68-B*40-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 388  A*01:01-B*37:01-C*07:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 389  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 390  A*02:11-B*15:05-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 391  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 392  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 393  A*11:01-B*37:01-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 394  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.1401714
 395  A*24:02-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 396  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 397  A*33:03-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 398  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 399  A*68:01-B*55:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 400  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.13003,078

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 301 to 400 (from 598) records   Pages: 1 2 3 4 5 6 of 6  


   

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.
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