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 4,261) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*03:01-B*44:05-C*02:02:02-DRB1*11:04:01-DQB1*03:01  England North West 0.2000298
 402  A*03:02-B*51:01-C*02:02-DRB1*11:01  Italy pop 5 0.2000975
 403  A*11:01-B*27:05-C*02:02:02-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 404  A*11:01-B*40:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 405  A*11:01-B*51:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 406  A*24:02-B*14:02:01-C*02:02:02-DRB1*01:02:01-DQB1*05:01:01  England North West 0.2000298
 407  A*24:02-B*27:05-C*02:02:02-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 408  A*24:02-B*51:01-C*02:02-DRB1*11:01  Italy pop 5 0.2000975
 409  A*24:03-B*40:02-C*02:02:02-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 410  A*31:01-C*02:02  Italy pop 5 0.2000975
 411  A*32:01-B*08:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 412  A*32:01-B*27:05-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 413  A*68:01-C*02:02  Italy pop 5 0.2000975
 414  A*02:01-B*27:02-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*04:02  Russia Karelia 0.19891,075
 415  A*02:01-B*27:05-C*02:02-DRB1*07:01  Poland DKMS 0.195420,653
 416  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 417  A*01:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 418  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 419  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 420  A*02:02:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 421  A*02:05:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 422  A*03:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 423  A*25:01:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 424  A*31:01:02-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 425  A*32:01:01-B*27:03-C*02:02:02-DRB1*10:01:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 426  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 427  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 428  A*33:01:01-B*44:03:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 429  A*36:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 430  A*32:01-B*40:02-C*02:02-DRB1*16:02  Germany DKMS - Croatia minority 0.19402,057
 431  A*74:01-B*15:03-C*02:02-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.193314,339
 432  A*32:01:01-B*40:02:01-C*02:02:02  England Blood Donors of Mixed Ethnicity 0.1927519
 433  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.192423,595
 434  A*02:01-B*27:02-C*02:02-DRB1*16:01  Germany DKMS - United Kingdom minority 0.19201,043
 435  A*02:01-B*44:05-C*02:02-DRB1*16:01  Germany DKMS - Croatia minority 0.19202,057
 436  A*01:01-B*40:02-C*02:02-DRB1*04:07-DQB1*06:02-DPB1*01:01  Panama 0.1900462
 437  A*02:01-B*27:03-C*02:02-DRB1*03:01-DQB1*02:01-DPB1*05:01  Panama 0.1900462
 438  A*02:01-B*44:02-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*14:01  Panama 0.1900462
 439  A*23:01-B*15:03-C*02:02-DRB1*04:05-DQB1*02:02-DPB1*01:01  Panama 0.1900462
 440  A*23:01-B*44:03-C*02:02-DRB1*11:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 441  A*24:02-B*44:03-C*02:02-DRB1*01:02-DQB1*06:02-DPB1*39:01  Panama 0.1900462
 442  A*24:02-B*45:01-C*02:02-DRB1*13:02-DQB1*03:01-DPB1*11:01  Panama 0.1900462
 443  A*30:01-B*52:01-C*02:02-DRB1*14:01-DQB1*06:02-DPB1*04:01  Panama 0.1900462
 444  A*30:02-B*27:03-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*03:01  Panama 0.1900462
 445  A*30:02-B*27:03-C*02:02-DRB1*15:01-DQB1*06:06-DPB1*04:01  Panama 0.1900462
 446  A*33:01-B*35:01-C*02:02-DRB1*11:04-DQB1*05:01-DPB1*04:01  Panama 0.1900462
 447  A*68:01-B*27:03-C*02:02-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 448  A*68:06-B*38:01-C*02:02-DRB1*01:02-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 449  A*80:01-B*07:05-C*02:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 450  A*33:01-B*44:03-C*02:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.18701,999
 451  B*51:01-C*02:02  USA African American pop 4 0.18702,411
 452  A*74:01-B*15:03-C*02:02-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.18602,411
 453  A*02:11-B*27:05-C*02:02-DRB1*15:02-DQB1*06:02  Malaysia Peninsular Indian 0.1845271
 454  A*24:02-B*40:06-C*02:02-DRB1*08:03-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 455  A*32:01-B*40:01-C*02:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 456  A*33:03-B*40:01-C*02:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 457  A*74:01-B*15:03-C*02:02-DRB1*13:02-DQB1*06:09  USA NMDP Black South or Central American 0.18384,889
 458  A*02:01-B*27:02-C*02:02-DRB1*14:01  Germany DKMS - Croatia minority 0.18302,057
 459  A*02:01-B*27:02-C*02:02-DRB1*16:01  Germany DKMS - Netherlands minority 0.18201,374
 460  A*02:01-B*44:05-C*02:02-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.18201,028
 461  A*02:01-B*51:01-C*02:02-DRB1*15:01  Germany DKMS - Spain minority 0.18201,107
 462  A*02:01-B*44:05-C*02:02-DRB1*16:01  Germany DKMS - Spain minority 0.18101,107
 463  A*03:01-B*27:05-C*02:02-DRB1*04:01  Germany DKMS - Netherlands minority 0.18101,374
 464  A*24:02-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Spain minority 0.18101,107
 465  A*31:01-B*27:05-C*02:02-DRB1*04:01  Germany DKMS - Netherlands minority 0.18101,374
 466  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Romania minority 0.18101,234
 467  A*24:02-B*27:05-C*02:02  Italy pop 5 0.1800975
 468  B*35:01-C*02:02  Italy pop 5 0.1800975
 469  B*44:03-C*02:02  Italy pop 5 0.1800975
 470  A*01:01-B*40:02-C*02:02-DRB1*13:01  Germany DKMS - Netherlands minority 0.17801,374
 471  A*02:01-B*40:02-C*02:02-DRB1*13:01  Germany DKMS - Netherlands minority 0.17701,374
 472  B*44:05-C*02:02  USA Hispanic pop 2 0.17601,999
 473  A*02:01-B*15:03-C*02:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.17402,411
 474  A*23:01-B*15:03-C*02:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.17402,411
 475  A*74:01-B*15:03-C*02:02-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.17402,411
 476  A*74:01-B*15:03-C*02:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.17402,411
 477  A*80:01-B*18:01-C*02:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.17402,411
 478  A*03:01-B*27:05-C*02:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.17301,159
 479  A*02:01-B*27:05-C*02:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 480  A*02:01-B*27:05-C*02:02-DRB1*15:01  Germany DKMS - Croatia minority 0.17102,057
 481  A*33:01-B*44:03-C*02:02-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.17091,463
 482  A*02:01-B*27:05-C*02:02-DRB1*01:01  Germany DKMS - Portugal minority 0.17001,176
 483  A*02:01-B*27:05-C*02:02-DRB1*13:01  Germany DKMS - Portugal minority 0.17001,176
 484  A*24:02-B*51:01-C*02:02-DRB1*04:03  Germany DKMS - Portugal minority 0.17001,176
 485  A*03:01-B*40:02-C*02:02-DRB1*14:01-DQB1*05:03-DPB1*03:01  Russia Karelia 0.16981,075
 486  A*01:01-B*27:05-C*02:02-DRB1*12:02-DQB1*03:01-DPB1*02:01  Russia Karelia 0.16941,075
 487  A*02:01-B*44:05-C*02:02-DRB1*16:01  Germany DKMS - Portugal minority 0.16901,176
 488  A*24:02-B*27:05-C*02:02-DRB1*13:01  Germany DKMS - Croatia minority 0.16902,057
 489  A*02:01-B*44:03-C*02:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 490  A*03:01-B*27:05-C*02:02-DRB1*14:01-DQB1*02:01  India Northeast UCBB 0.1689296
 491  A*32:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:01  India Northeast UCBB 0.1689296
 492  A*02:01-B*51:01-C*02:02-DRB1*11:01  Germany DKMS - France minority 0.16801,406
 493  A*02:01-B*51:01-C*02:02-DRB1*15:01  Germany DKMS - Portugal minority 0.16801,176
 494  A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.16561,510
 495  A*11:01-B*27:02-C*02:02-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.16401,028
 496  A*02:01-B*27:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.16283,456,066
 497  A*02:01-B*27:05-C*02:02-DRB1*11:01  Germany DKMS - Romania minority 0.16201,234
 498  A*32:01-B*27:02-C*02:02-DRB1*16:02  Germany DKMS - Romania minority 0.16201,234
 499  A*02:01-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.161620,653
 500  A*02:01-B*27:05-C*02:02-DRB1*01:01  Germany DKMS - Austria minority 0.16101,698

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 4,261) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  


   

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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