Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 301 to 400 (from 6,524) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 66  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  B*51:01-DRB1*01:01  Italy pop 5 0.6000975
 302  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Portugal minority 0.59601,176
 303  A*02:01-B*40:02-DRB1*01:01-DQB1*05:01  Mexico Veracruz Xalapa 0.595284
 304  A*03:01-B*27-DRB1*01:01-DQB1*05:01  Mexico Veracruz Xalapa 0.595284
 305  A*29:01-B*44:02-DRB1*01:01-DQB1*05:01  Mexico Veracruz Xalapa 0.595284
 306  A*02:01-B*27:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.58981,075
 307  A*01:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 308  A*02:01:01-B*39:06:02-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 309  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 310  A*33:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 311  A*34:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 312  A*36:01-B*14:01:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 313  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 314  A*03:01-B*38:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 315  A*11:01-B*51:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 316  A*24:02-B*14:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 317  A*24:02-B*27-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 318  A*31:01-B*51:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 319  A*33:01-B*13:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 320  A*68:02-B*15:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 321  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.56671,242,890
 322  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.5602714
 323  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.54704,335
 324  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Spain minority 0.54701,107
 325  A*02-B*50-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.5460641
 326  A*03-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.5460641
 327  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.544670,890
 328  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.54001,028
 329  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.54001,374
 330  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.53963,456,066
 331  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 332  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.53301,406
 333  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.53301,374
 334  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.53104,856
 335  A*02-B*27-DRB1*01:01  Colombia Barranquilla 0.5300188
 336  A*02-B*56-DRB1*01:01  Colombia Barranquilla 0.5300188
 337  A*11-B*14-DRB1*01:01  Colombia Barranquilla 0.5300188
 338  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.53001,772
 339  A*68-B*14-DRB1*01:01  Colombia Barranquilla 0.5300188
 340  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.5210496
 341  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.5210496
 342  A*02:01:01:01-B*18:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 343  A*02:01:01:01-B*27:05:02-C*02:02:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 344  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 345  A*02:01:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 346  A*02:01:01:01-B*58:01:01-C*05:01:01:02-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 347  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 348  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 349  A*02:01-B*35:12-DRB1*01:01  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 350  A*11:01-B*27:05-DRB1*01:01  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 351  A*29:02-B*44:03-DRB1*01:01  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 352  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.5157833
 353  A*01:02-B*35:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 354  A*03:01-B*35:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 355  A*03:01-B*35:10-DRB1*01:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 356  A*26:01-B*18:01-DRB1*01:01-DQB1*03:02  Iran Tabriz Azeris 0.515597
 357  A*31:01-B*14:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 358  A*68:01-B*44:02-DRB1*01:01-DQB1*06:04  Iran Tabriz Azeris 0.515597
 359  A*02:01-B*15:01-C*03:04-DRB1*01:01  Germany DKMS - Netherlands minority 0.51401,374
 360  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.51401,894
 361  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.51321,075
 362  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 363  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 364  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.51175,829
 365  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.5057146,714
 366  A*02:01-B*47:01-C*06:98-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 367  A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.5000298
 368  A*11-B*35-DRB1*01:01  USA NMDP Caucasian 0.50002,361,208
 369  A*23:01-B*15:10-C*16:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*39:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 370  A*30:02-B*57:02-C*18:01-DRB1*01:01-DQA1*01:01-DQB1*02:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 371  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.49601,043
 372  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.49411,510
 373  A*02:05:01-B*18:01:01-C*03:04:02-DRB1*01:01:02  Costa Rica African -Caribbean (G) 0.4902102
 374  A*34:02:01-B*57:03:01-C*07:01:01-DRB1*01:01:02  Costa Rica African -Caribbean (G) 0.4902102
 375  A*74:01-B*35:01:01-C*04:01:01-DRB1*01:01  Costa Rica African -Caribbean (G) 0.4902102
 376  A*03:01-B*35:01-DRB1*01:01  Croatia pop 4 0.49004,000
 377  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.486023,595
 378  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.48292,403
 379  A*02:06-B*40:02-C*03:04-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 380  A*03:01-B*27:05-C*04:01-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 381  A*11:01-B*55:01-C*03:03-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 382  A*26:01-B*40:02-C*08:02-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 383  A*32:01-B*18:01-C*12:03-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 384  A*33:01-B*14:02-C*08:02-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 385  A*68:01-B*39:01-C*01:02-DRB1*01:01  Russia Bering Island Aleuts 0.4808104
 386  A*01:01-B*27:05-DRB1*01:01-DQB1*05:01  Peru Titikaka Lake Uros 0.4800105
 387  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Portugal minority 0.48001,176
 388  A*24:02-B*15:01-DRB1*01:01-DQB1*05:01  Peru Titikaka Lake Uros 0.4800105
 389  A*02:01-B*27:05-C*01:02-DRB1*01:01  Germany DKMS - Croatia minority 0.47802,057
 390  A*02:01-B*27:05-DRB1*01:01  New Zealand Maori with Admixed History 0.4762105
 391  A*24:02-B*15:01-DRB1*01:01  New Zealand Maori with Admixed History 0.4762105
 392  A*68:01-B*55:02-DRB1*01:01  New Zealand Maori with Admixed History 0.4762105
 393  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 394  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 395  A*03-B*07-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.4680641
 396  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.46101,374
 397  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.46003,078
 398  A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 399  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 400  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110

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 6,524) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 66  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional