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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 301 to 400 (from 485) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.045811,446
 302  A*03:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.04501,374
 303  A*26:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 304  A*31:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 305  A*31:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.04502,057
 306  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 307  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04404,856
 308  A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 309  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.04361,510
 310  A*01:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.04301,176
 311  A*31:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.04301,176
 312  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.04255,829
 313  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.04243,456,066
 314  A*23:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.041820,653
 315  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.04173,456,066
 316  A*26:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.041720,653
 317  A*68:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.041723,595
 318  A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.04162,403
 319  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.041123,595
 320  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.04104,204
 321  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.04045,849
 322  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 323  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.03943,456,066
 324  A*03:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.03902,057
 325  A*03:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.03901,282
 326  A*24:20-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.03901,282
 327  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03895,266
 328  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.036511,446
 329  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*14:01  Germany DKMS - German donors 0.03633,456,066
 330  A*29:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 331  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.03583,456,066
 332  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03574,204
 333  A*25:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.03501,894
 334  A*33:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03485,266
 335  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.03425,849
 336  A*01:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 337  A*02:22-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 338  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 339  A*69:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 340  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 341  A*24:02:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 342  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 343  A*68:24-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 344  A*25:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.032520,653
 345  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.032023,595
 346  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.03205,829
 347  A*68:01:01:02-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03181,510
 348  A*25:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.030423,595
 349  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078
 350  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078
 351  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.030011,446
 352  A*11:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.03001,698
 353  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078
 354  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*02:02  Japan pop 17 0.03003,078
 355  A*29:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.02901,698
 356  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02883,456,066
 357  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 358  A*31:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.028220,653
 359  A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02765,829
 360  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02715,266
 361  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02575,829
 362  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.02483,456,066
 363  A*03:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.024223,595
 364  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:02  India Tamil Nadu 0.02412,492
 365  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02405,829
 366  A*25:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.02402,057
 367  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.023923,595
 368  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02384,204
 369  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:03  India Tamil Nadu 0.02372,492
 370  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02365,829
 371  A*33:03-B*13:02-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 0.02337,595
 372  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.02325,849
 373  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02324,204
 374  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.02281,510
 375  A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02222,492
 376  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 377  A*01:01-B*13:02-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 0.01987,595
 378  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.019411,446
 379  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01933,456,066
 380  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.019323,595
 381  A*02:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 382  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01843,456,066
 383  A*02:03-B*13:02-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 0.01817,595
 384  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01745,849
 385  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.01725,829
 386  A*02:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01705,266
 387  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01653,456,066
 388  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*09:01  Germany DKMS - German donors 0.01623,456,066
 389  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.01612,492
 390  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01603,456,066
 391  A*11:01-B*13:02-C*06:02-DRB1*07:01  Japan pop 16 0.016018,604
 392  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01583,456,066
 393  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*06:01  Germany DKMS - German donors 0.01543,456,066
 394  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01505,266
 395  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.014923,595
 396  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01463,456,066
 397  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.014011,446
 398  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01375,849
 399  A*11:02-B*13:02-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 0.01327,595
 400  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.01265,849

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 485) 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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