Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 301 to 400 (from 439) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.04883,456,066
 302  A*26:08-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - United Kingdom minority 0.04801,043
 303  A*30:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - United Kingdom minority 0.04801,043
 304  A*30:02-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - France minority 0.04801,406
 305  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04801,159
 306  A*02:22-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 307  A*34:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 308  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
 309  A*68:02-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Spain minority 0.04601,107
 310  A*02:22-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Spain minority 0.04501,107
 311  A*29:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Spain minority 0.04501,107
 312  A*31:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Spain minority 0.04501,107
 313  A*32:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Spain minority 0.04501,107
 314  A*33:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Spain minority 0.04501,107
 315  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
 316  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.04453,456,066
 317  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.04413,456,066
 318  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.044024,582
 319  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 320  A*30:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 321  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04401,159
 322  A*31:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.043523,595
 323  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 324  A*29:10-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 325  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.04193,456,066
 326  A*29:02-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 327  A*30:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 328  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04055,266
 329  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
 330  A*11:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Netherlands minority 0.04001,374
 331  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03851,463
 332  A*03:02-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.038020,653
 333  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03731,463
 334  A*33:03:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.036723,595
 335  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03633,456,066
 336  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03561,463
 337  A*29:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 338  A*23:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 339  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 340  A*29:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 341  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 342  A*69:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 343  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033623,595
 344  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03331,510
 345  A*02:01:01:01-B*08:01:01-C*07:01:08-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 346  A*68:01:02:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 347  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.03303,456,066
 348  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03283,456,066
 349  A*03:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 0.03202,057
 350  A*26:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 0.03101,698
 351  A*68:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 0.03101,698
 352  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03063,456,066
 353  A*23:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 0.03001,698
 354  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.029150,614
 355  A*33:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 0.02901,698
 356  A*66:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 0.02901,698
 357  A*68:02-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 0.02901,698
 358  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02903,456,066
 359  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
 360  A*33:03-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.026720,653
 361  A*01:01-B*08:01-C*07:01-DRB1*03:01  Hong Kong Chinese BMDR 0.02637,595
 362  A*23:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 0.02602,057
 363  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
 364  A*30:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 0.02502,057
 365  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02473,456,066
 366  A*03:02-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 0.02402,057
 367  A*33:03-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 0.02402,057
 368  A*30:04:01-B*08:01:01-C*07:01:01-DRB1*03:01  Nicaragua Mestizo (G) 0.0239155
 369  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
 370  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02253,456,066
 371  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.02243,456,066
 372  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02204,856
 373  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02173,456,066
 374  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.021723,595
 375  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
 376  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 377  A*29:02-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.020620,653
 378  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
 379  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 380  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
 381  A*30:02-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.017820,653
 382  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01743,456,066
 383  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.01715,849
 384  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
 385  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01653,456,066
 386  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01643,456,066
 387  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01633,456,066
 388  A*23:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01613,456,066
 389  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Chinese 0.015499,672
 390  A*02:06-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01523,456,066
 391  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01503,456,066
 392  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*06:02:01  Poland BMR 0.014823,595
 393  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
 394  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.01293,456,066
 395  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01143,456,066
 396  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 397  A*24:07-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 398  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
 399  A*68:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.010723,595
 400  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

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 439) records   Pages: 1 2 3 4 5 of 5  


   

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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