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 301 to 400 (from 1,352) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 4.34585,926
 302  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 1.266914,339
 303  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 1.004611,499
 304  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 1.05454,889
 305  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 1.99493,456,066
 306  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 1.4000250
 307  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 2.12681,075
 308  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.41153,456,066
 309  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28861,075
 310  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.45243,456,066
 311  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.13151,075
 312  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 1.96533,456,066
 313  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Ireland South 8.3000250
 314  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.81111,075
 315  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.48783,456,066
 316  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.08141,075
 317  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*05:01  Germany DKMS - German donors 0.04463,456,066
 318  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*06:01  Germany DKMS - German donors 0.02343,456,066
 319  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Germany DKMS - German donors 0.14093,456,066
 320  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Russia Karelia 0.05651,075
 321  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*10:01  Germany DKMS - German donors 0.04023,456,066
 322  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.01373,456,066
 323  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*13:01  Germany DKMS - German donors 0.02603,456,066
 324  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*14:01  Germany DKMS - German donors 0.02023,456,066
 325  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Germany DKMS - German donors 0.01713,456,066
 326  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*16:01  Germany DKMS - German donors 0.04693,456,066
 327  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.02163,456,066
 328  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*19:01  Germany DKMS - German donors 0.01903,456,066
 329  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01  Germany DKMS - German donors 0.02693,456,066
 330  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01  Russia Karelia 0.05651,075
 331  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*23:01  Germany DKMS - German donors 0.01073,456,066
 332  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:85-DPB1*01:01  Russia Karelia 0.05631,075
 333  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01063,456,066
 334  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Vietnamese 0.049343,540
 335  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.008027,978
 336  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0003620185,391
 337  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.245224,582
 338  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Korean 0.069477,584
 339  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 2.194370,890
 340  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 1.8200261,235
 341  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Chinese 0.015499,672
 342  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.5860146,714
 343  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP European Caucasian 6.52581,242,890
 344  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.260750,614
 345  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 4.576235,791
 346  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Black 0.748133,328
 347  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 1.6528115,374
 348  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African American pop 2 1.1238416,581
 349  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557
 350  A*01:01-B*08:01-C*07:01-DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 351  A*01:01-B*08:01-C*07:01-DRB1*03:04  Poland DKMS 0.010620,653
 352  A*01:01-B*08:01-C*07:01-DRB1*03:06-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 353  A*01:01-B*08:01-C*07:01-DRB1*03:15  Germany DKMS - Greece minority 0.02601,894
 354  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - United Kingdom minority 0.17501,043
 355  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Croatia minority 0.09502,057
 356  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Netherlands minority 0.49001,374
 357  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Portugal minority 0.17001,176
 358  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Spain minority 0.09001,107
 359  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Austria minority 0.15701,698
 360  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 361  A*01:01-B*08:01-C*07:01-DRB1*04:01  Poland DKMS 0.169720,653
 362  A*01:01-B*08:01-C*07:01-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 363  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06393,456,066
 364  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 365  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 366  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02  USA Asian pop 2 0.04401,772
 367  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.02633,456,066
 368  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.01563,456,066
 369  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.11083,456,066
 370  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01733,456,066
 371  A*01:01-B*08:01-C*07:01-DRB1*04:02  Germany DKMS - Croatia minority 0.04802,057
 372  A*01:01-B*08:01-C*07:01-DRB1*04:02  Germany DKMS - Greece minority 0.02601,894
 373  A*01:01-B*08:01-C*07:01-DRB1*04:02  Germany DKMS - Bosnia and Herzegovina minority 0.06101,028
 374  A*01:01-B*08:01-C*07:01-DRB1*04:02  Germany DKMS - Spain minority 0.04501,107
 375  A*01:01-B*08:01-C*07:01-DRB1*04:02  Poland DKMS 0.002520,653
 376  A*01:01-B*08:01-C*07:01-DRB1*04:02-DQB1*03:02  Italy pop 5 0.1400975
 377  A*01:01-B*08:01-C*07:01-DRB1*04:03  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 378  A*01:01-B*08:01-C*07:01-DRB1*04:03  Poland DKMS 0.010320,653
 379  A*01:01-B*08:01-C*07:01-DRB1*04:04  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 380  A*01:01-B*08:01-C*07:01-DRB1*04:04  Germany DKMS - United Kingdom minority 0.13001,043
 381  A*01:01-B*08:01-C*07:01-DRB1*04:04  Germany DKMS - Netherlands minority 0.19701,374
 382  A*01:01-B*08:01-C*07:01-DRB1*04:04  Poland DKMS 0.016020,653
 383  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01204,856
 384  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Ireland South 1.3000250
 385  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 386  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 387  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02:01  England North West 0.5000298
 388  A*01:01-B*08:01-C*07:01-DRB1*04:05  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 389  A*01:01-B*08:01-C*07:01-DRB1*04:06  Poland DKMS 0.002420,653
 390  A*01:01-B*08:01-C*07:01-DRB1*04:07  Germany DKMS - Netherlands minority 0.03801,374
 391  A*01:01-B*08:01-C*07:01-DRB1*04:07-DQB1*03:02  USA African American pop 4 0.04402,411
 392  A*01:01-B*08:01-C*07:01-DRB1*04:08  Germany DKMS - Romania minority 0.04101,234
 393  A*01:01-B*08:01-C*07:01-DRB1*04:08  Germany DKMS - Spain minority 0.04501,107
 394  A*01:01-B*08:01-C*07:01-DRB1*04:08  Poland DKMS 0.008820,653
 395  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - Spain minority 0.11001,107
 396  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - France minority 0.35501,406
 397  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.05201,028
 398  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - Austria minority 0.22401,698
 399  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - Romania minority 0.28901,234
 400  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.23801,374

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 1,352) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

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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