Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 301 to 398 (from 398) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.03513,456,066
 302  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 303  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 304  A*30:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 305  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 306  A*69:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 307  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Germany DKMS - German donors 0.03393,456,066
 308  A*02:06:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 309  A*30:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 310  A*33:03:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 311  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.032977,584
 312  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03104,856
 313  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.030799,672
 314  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.03063,456,066
 315  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.03065,829
 316  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0301185,391
 317  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 318  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 319  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 320  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 321  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.02983,456,066
 322  A*01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.02971,510
 323  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.029123,595
 324  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 325  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 326  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.028123,595
 327  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.02613,456,066
 328  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.02583,456,066
 329  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.02574,204
 330  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.02575,829
 331  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02422,492
 332  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*13:01  Germany DKMS - German donors 0.02403,456,066
 333  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.02384,204
 334  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02352,492
 335  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.02273,456,066
 336  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*11:01  Germany DKMS - German donors 0.02233,456,066
 337  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.021211,446
 338  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 339  A*03:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.02065,829
 340  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.02033,456,066
 341  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Germany DKMS - German donors 0.02013,456,066
 342  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.019823,595
 343  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.01905,829
 344  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*10:01  Germany DKMS - German donors 0.01853,456,066
 345  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Germany DKMS - German donors 0.01853,456,066
 346  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*09:01  Germany DKMS - German donors 0.01813,456,066
 347  A*23:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01783,456,066
 348  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*10:01  Germany DKMS - German donors 0.01763,456,066
 349  A*30:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01714,204
 350  A*30:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01673,456,066
 351  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*14:01  Germany DKMS - German donors 0.01623,456,066
 352  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*23:01  Germany DKMS - German donors 0.01593,456,066
 353  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.015023,595
 354  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.014711,446
 355  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.01423,456,066
 356  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*16:01  Germany DKMS - German donors 0.01413,456,066
 357  A*23:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01404,856
 358  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.01293,456,066
 359  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*19:01  Germany DKMS - German donors 0.01283,456,066
 360  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.01265,849
 361  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01254,204
 362  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.01233,456,066
 363  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01204,856
 364  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*13:01  Germany DKMS - German donors 0.01203,456,066
 365  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Germany DKMS - German donors 0.01193,456,066
 366  A*24:17-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 367  A*29:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 368  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.01183,456,066
 369  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Germany DKMS - German donors 0.01163,456,066
 370  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01104,856
 371  A*03:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01104,856
 372  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*19:01  Germany DKMS - German donors 0.01033,456,066
 373  A*02:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.010123,595
 374  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00895,849
 375  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00885,829
 376  A*01:43-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 377  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 378  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00865,849
 379  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.006111,446
 380  A*30:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005823,595
 381  A*68:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005523,595
 382  A*24:07-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004911,446
 383  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 384  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 385  A*03:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004323,595
 386  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.004343,540
 387  A*31:01:02-B*07:02:03-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 388  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.003143,540
 389  A*03:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002523,595
 390  A*02:05:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 391  A*03:01:03-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 392  A*01:01:03-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 393  A*02:01:52-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 394  A*24:72-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 395  A*26:01:01-B*07:02:01-C*07:02:18-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 396  A*32:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 397  A*25:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 398  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 0.0000000975

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 398 (from 398) records   Pages: 1 2 3 4 of 4  


   

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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