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 4,968) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 50  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*31:01:02-B*15:05:01-C*15:02:01-DRB1*15:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 402  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 403  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*15:02:05-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 404  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2670356
 405  A*11:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.26642,403
 406  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.26402,403
 407  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.262111,446
 408  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.26054,204
 409  A*02:01:01:01-B*40:01:02-C*15:02:01:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 410  A*02:01:01:01-B*44:03:01-C*15:02:01:01-DRB1*13:02:01-DQB1*05:02:01  Russia Bashkortostan, Tatars 0.2604192
 411  A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 412  A*02:06:01-B*51:01:01-C*15:02:01:01-DRB1*14:54:01-DQB1*05:02:01  Russia Bashkortostan, Tatars 0.2604192
 413  A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 414  A*02:11:01-B*40:06:01:02-C*15:02:01:01-DRB1*15:01:01-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 415  A*11:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 416  A*24:02:01:01-B*40:06:01:02-C*15:02:01:01-DRB1*14:04:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.2604192
 417  A*24:02:01:01-B*51:01:01-C*15:02:01:01-DRB1*14:12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 418  A*30:02:01:01-B*51:01:01-C*15:02:01:01-DRB1*03:01:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 419  A*33:01:01-B*18:01:01-C*15:02:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 420  A*02:01-B*27:10-C*15:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 421  A*02:01-B*27:10-C*15:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 422  A*02:01-B*51:01-C*15:02-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 423  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 424  A*03:02-B*50:01-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 425  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 426  A*23:01-B*27:07-C*15:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 427  A*30:02-B*51:01-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496
 428  A*02:01-B*40:01-C*15:02-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 429  A*02:01-B*40:06-C*15:02-DRB1*12:02-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 430  A*02:06-B*40:49-C*15:02-DRB1*14:05-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 431  A*02:06-B*46:01-C*15:02-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 432  A*11:01-B*40:02-C*15:02-DRB1*11:06-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 433  A*11:01-B*51:02-C*15:02-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 434  A*24:02-B*51:01-C*15:02-DRB1*04:03-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 435  A*31:01-B*51:02-C*15:02-DRB1*13:07-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 436  A*31:01-B*51:02-C*15:02-DRB1*13:12-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 437  A*02:11-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.25325,829
 438  A*24:02-B*51:01-C*15:02-DRB1*11:01  Germany DKMS - Croatia minority 0.25302,057
 439  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.25101,772
 440  B*18:01-C*15:02  Italy pop 5 0.2500975
 441  B*40:06-C*15:02  USA Hispanic pop 2 0.25001,999
 442  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.24655,849
 443  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.243911,446
 444  A*02:01-B*51:01-C*15:02-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.24301,028
 445  A*02:01-B*51:01-C*15:02-DRB1*11:01  Germany DKMS - Romania minority 0.24301,234
 446  A*68:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.23735,829
 447  A*02:01-B*51:01-C*15:02-DRB1*04:04  Germany DKMS - Croatia minority 0.23702,057
 448  A*11:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.23562,492
 449  A*02:01-B*51:01-C*15:02-DRB1*15:01  Japan pop 16 0.235018,604
 450  A*68:01-B*40:06-C*15:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.23425,829
 451  A*29:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.233714,339
 452  A*68:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.23322,492
 453  A*01:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.23172,492
 454  A*02:01-B*40:01-C*15:02-DRB1*11:01  Hong Kong Chinese BMDR 0.23147,595
 455  A*74:03-B*51:01:01-C*15:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.231228,927
 456  A*01:01:01-B*51:01:01-C*15:02:01-DRB1*14:01:01-DQB1*05:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 457  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 458  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 459  A*25:01:01-B*51:01:01-C*15:02:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 460  A*33:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 461  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 462  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 463  A*02:06-B*51:01-C*15:02-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 464  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 465  A*24:02-B*40:02-C*15:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 466  A*68:05-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 467  A*68:05-B*40:02-C*15:02-DRB1*04:51-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 468  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.22692,492
 469  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*08:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 470  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*11:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 471  A*11:01-B*51:01-C*15:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.22501,028
 472  A*11:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.22485,829
 473  A*68:01-B*51:01-C*15:02-DRB1*13:01  Germany DKMS - Greece minority 0.22201,894
 474  A*02:01-B*51:01-C*15:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.21801,374
 475  A*11:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.21744,204
 476  A*01:01-B*51:01-C*15:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*13:01  Nicaragua Managua 0.2165339
 477  A*01:01-B*57:01-C*15:02-DRB1*04:04-DQA1*03:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.2165339
 478  A*03:01-B*44:03-C*15:02-DRB1*01:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 479  A*03:01-B*51:01-C*15:02-DRB1*11:01-DQA1*05:01-DQB1*02:01-DPB1*03:01  Nicaragua Managua 0.2165339
 480  A*23:01-B*51:01-C*15:02-DRB1*04:04-DQA1*03:01-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.2165339
 481  A*26:01-B*38:01-C*15:02-DRB1*04:07-DQA1*01:03-DQB1*06:03-DPB1*05:01  Nicaragua Managua 0.2165339
 482  A*31:01-B*51:01-C*15:02-DRB1*04:03-DQA1*01:02-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.2165339
 483  A*01:01-B*50:01-C*15:02-DRB1*11:01  Germany DKMS - Portugal minority 0.21301,176
 484  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.2101714
 485  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.2101714
 486  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*14:01  Sri Lanka Colombo 0.2101714
 487  A*02:01-B*51:01-C*15:02-DRB1*13:01  Germany DKMS - Croatia minority 0.20702,057
 488  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.20584,204
 489  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.20562,492
 490  A*11:01-B*51:01-C*15:02-DRB1*04:04  Germany DKMS - Austria minority 0.20401,698
 491  A*11:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.202111,446
 492  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.20205,849
 493  A*31:01-B*51:01-C*15:02-DRB1*04:07-DQB1*03:02  USA NMDP American Indian South or Central America 0.20135,926
 494  A*02:01-B*51:01-C*15:02-DRB1*11:01  Germany DKMS - Spain minority 0.20101,107
 495  B*40:02-C*15:02  USA Hispanic pop 2 0.20101,999
 496  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.200411,446
 497  A*01:01-C*15:02  Italy pop 5 0.2000975
 498  A*02:01-B*51:01-C*15:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 499  A*02:01-B*51:01-C*15:02-DRB1*09:01:02-DQB1*03:03:02  England North West 0.2000298
 500  A*02:01-B*51:01-C*15:02-DRB1*14:54  Italy pop 5 0.2000975

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 4,968) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 50  


   

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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