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 401 to 500 (from 7,333) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 74  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.66192,492
 402  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.65701,028
 403  A*02:01:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 404  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01  Nicaragua Mestizo (G) 0.6452155
 405  B*37:01-C*06:02  Mexico Mexico City Mestizo pop 2 0.6400234
 406  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.63911,242,890
 407  A*01:01-B*37:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.6390336
 408  A*29:02-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*18:01  Tanzania Maasai 0.6390336
 409  A*30:10-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.6390336
 410  A*30:10-B*53:01-C*06:02-DRB1*14:54-DQB1*03:02-DPB1*17:01  Tanzania Maasai 0.6390336
 411  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.63501,176
 412  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.633527,978
 413  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.6303714
 414  A*68:01-B*58:02-C*06:02-DRB1*12:01-DRB3*02:02-DQB1*05:01  USA NMDP Caribean Black 0.628333,328
 415  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 416  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.62301,894
 417  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.61902,057
 418  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.616970,890
 419  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.61604,335
 420  A*01:01-B*58:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  South Africa Worcester 0.6000159
 421  A*02:05-B*50:01-C*06:02-DRB1*07:01  Italy pop 5 0.6000975
 422  A*29:02-B*58:01-C*06:02-DRB1*04:04-DQA1*03:01-DQB1*04:02-DPB1*40:01  South Africa Worcester 0.6000159
 423  A*32:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.6000159
 424  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.599428,927
 425  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.5980186
 426  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.5960356
 427  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.59401,406
 428  A*68:01-B*58:02-C*06:02-DRB1*12:01-DRB3*02:02-DQB1*05:01  USA NMDP African 0.590728,557
 429  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.5900975
 430  A*02:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.58901,698
 431  A*01:01:01-B*14:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 432  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 433  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*16:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 434  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 435  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 436  A*11:01:01-B*07:02:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 437  A*23:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 438  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*04:02:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Parda 0.5882170
 439  A*24:05:01-B*13:02:01-C*06:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 440  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Parda 0.5882170
 441  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Parda 0.5882170
 442  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 443  A*31:01:02-B*58:02:01-C*06:02:01-DRB1*11:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 444  A*74:01:01-B*50:01:01-C*06:02:01-DRB1*16:02:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 445  A*74:01:01-B*58:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 446  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 447  A*30:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.58201,374
 448  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.576611,446
 449  A*03:01:01-B*13:02:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.5761519
 450  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.5750174
 451  A*68:01-B*58:02-C*06:02-DRB1*12:01-DQB1*05:01  USA NMDP Black South or Central American 0.56984,889
 452  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.560514,339
 453  B*18:01-C*06:02  Italy pop 5 0.5600975
 454  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.55835,849
 455  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.5535271
 456  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.5535271
 457  A*01:01-B*57:01-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.54601,282
 458  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.54401,282
 459  A*02:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.54331,510
 460  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 461  A*02:11:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 462  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 463  A*03:01:01-B*40:06:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 464  A*02:01-B*57:01-C*06:02  Italy pop 5 0.5300975
 465  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.527428,927
 466  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Croatia minority 0.52702,057
 467  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*03:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.5210496
 468  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 469  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*13:05:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 470  A*01:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 471  A*02:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.5208192
 472  A*11:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.5208192
 473  A*33:03:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 474  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.52012,403
 475  A*11:01-C*06:02  Italy pop 5 0.5200975
 476  A*24:02-B*13:02-C*06:02-DRB1*07:01  Italy pop 5 0.5200975
 477  A*02:05-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.51975,849
 478  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.515428,927
 479  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.51201,894
 480  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.50645,926
 481  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.50595,849
 482  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.50162,403
 483  A*01:01-B*45:01-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:09-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 484  A*02:01-B*13:02-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.5000298
 485  A*02:01-B*51:01-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 486  A*02:05-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.5000298
 487  A*03:01-B*53:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 488  A*23:01-B*45:01-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 489  A*24:02-B*53:01-C*06:02-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 490  A*29:02-B*45:01-C*06:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 491  A*30:01-B*45:01-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 492  A*30:01-B*58:02-C*06:02-DRB1*07:01-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 493  A*30:02-B*13:02-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 494  A*30:02-B*50:01-C*06:02-DRB1*15:03-DQA1*04:01-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 495  A*34:02-B*53:01-C*06:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 496  A*66:01-B*15:10-C*06:02-DRB1*13:01-DQA1*01:01-DQB1*03:03-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 497  A*66:01-B*58:01-C*06:02-DRB1*04:05-DQA1*03:01-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 498  A*66:01-B*58:02-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 499  A*66:01-B*58:02-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 500  A*66:02-B*57:03-C*06:02-DRB1*13:01-DQA1*05:01-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100

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 401 to 500 (from 7,333) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 74  


   

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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