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 3,586) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 36  

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 Caribean Indian 1.266914,339
 302  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
 303  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 304  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 1.39102,411
 305  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 4.10001,376
 306  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 1.78401,999
 307  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
 308  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 1.4000250
 309  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 2.12681,075
 310  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
 311  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28861,075
 312  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
 313  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.13151,075
 314  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
 315  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Ireland South 8.3000250
 316  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.81111,075
 317  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
 318  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.08141,075
 319  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
 320  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
 321  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
 322  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Russia Karelia 0.05651,075
 323  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
 324  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
 325  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
 326  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
 327  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
 328  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
 329  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
 330  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
 331  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
 332  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01  Russia Karelia 0.05651,075
 333  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
 334  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:85-DPB1*01:01  Russia Karelia 0.05631,075
 335  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
 336  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
 337  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
 338  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557
 339  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
 340  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.260750,614
 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 Middle Eastern or North Coast of Africa 2.194370,890
 343  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
 344  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
 345  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
 346  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Vietnamese 0.049343,540
 347  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
 348  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
 349  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
 350  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.245224,582
 351  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Korean 0.069477,584
 352  A*01:01-B*08:01-C*07:01-DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 353  A*01:01-B*08:01-C*07:01-DRB1*03:04  Poland DKMS 0.010620,653
 354  A*01:01-B*08:01-C*07:01-DRB1*03:06-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 355  A*01:01-B*08:01-C*07:01-DRB1*03:15  Germany DKMS - Greece minority 0.02601,894
 356  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 357  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - United Kingdom minority 0.17501,043
 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 - Netherlands minority 0.49001,374
 361  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Portugal minority 0.17001,176
 362  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Croatia minority 0.09502,057
 363  A*01:01-B*08:01-C*07:01-DRB1*04:01  Poland DKMS 0.169720,653
 364  A*01:01-B*08:01-C*07:01-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 365  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
 366  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 367  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 368  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02  USA Asian pop 2 0.04401,772
 369  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
 370  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
 371  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
 372  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
 373  A*01:01-B*08:01-C*07:01-DRB1*04:02  Germany DKMS - Croatia minority 0.04802,057
 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  Germany DKMS - Bosnia and Herzegovina minority 0.06101,028
 376  A*01:01-B*08:01-C*07:01-DRB1*04:02  Germany DKMS - Greece minority 0.02601,894
 377  A*01:01-B*08:01-C*07:01-DRB1*04:02  Poland DKMS 0.002520,653
 378  A*01:01-B*08:01-C*07:01-DRB1*04:02-DQB1*03:02  Italy pop 5 0.1400975
 379  A*01:01-B*08:01-C*07:01-DRB1*04:03  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 380  A*01:01-B*08:01-C*07:01-DRB1*04:03  Poland DKMS 0.010320,653
 381  A*01:01-B*08:01-C*07:01-DRB1*04:04  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 382  A*01:01-B*08:01-C*07:01-DRB1*04:04  Germany DKMS - United Kingdom minority 0.13001,043
 383  A*01:01-B*08:01-C*07:01-DRB1*04:04  Germany DKMS - Netherlands minority 0.19701,374
 384  A*01:01-B*08:01-C*07:01-DRB1*04:04  Poland DKMS 0.016020,653
 385  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01204,856
 386  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Ireland South 1.3000250
 387  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 388  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 389  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02:01  England North West 0.5000298
 390  A*01:01-B*08:01-C*07:01-DRB1*04:05  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 391  A*01:01-B*08:01-C*07:01-DRB1*04:06  Poland DKMS 0.002420,653
 392  A*01:01-B*08:01-C*07:01-DRB1*04:07  Germany DKMS - Netherlands minority 0.03801,374
 393  A*01:01-B*08:01-C*07:01-DRB1*04:07-DQB1*03:02  USA African American pop 4 0.04402,411
 394  A*01:01-B*08:01-C*07:01-DRB1*04:08  Germany DKMS - Spain minority 0.04501,107
 395  A*01:01-B*08:01-C*07:01-DRB1*04:08  Germany DKMS - Romania minority 0.04101,234
 396  A*01:01-B*08:01-C*07:01-DRB1*04:08  Poland DKMS 0.008820,653
 397  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - Romania minority 0.28901,234
 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 - Spain minority 0.11001,107
 400  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.05201,028

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 3,586) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 36  


   

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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