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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Displaying 401 to 500 (from 6,157) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 62  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*02:01-B*35:01-DRB1*11:01-DQB1*03:02  Chile Mapuche 0.770066
 402  A*03:01-B*35:01-DRB1*14:02-DQB1*03:03  Chile Mapuche 0.770066
 403  A*30:02-B*35:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 0.770066
 404  A*24:02-B*35:01-C*04:01-DRB1*14:02-DRB3*01:01-DQB1*03:01  USA NMDP North American Amerindian 0.758435,791
 405  A*02:01-B*35:01-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:04  Mexico Tixcacaltuyub Maya 0.746367
 406  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:19  Mexico Tixcacaltuyub Maya 0.746367
 407  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 408  A*24:02-B*35:01-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 409  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 410  A*24:02-B*35:01-C*04:01-DRB1*04:25-DQA1*03:03-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 411  A*26:01-B*35:01-C*04:01-DRB1*04:02-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 412  A*31:01-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 413  A*68:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 414  A*68:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 415  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.7400975
 416  A*02:01-B*35:01-C*04:01-DRB1*14:02-DRB3*01:01-DQB1*03:01  USA NMDP North American Amerindian 0.714035,791
 417  B*35:01-DRB1*03:01  Italy pop 5 0.7100975
 418  A*11:01-B*35:01  USA Hispanic pop 2 0.70901,999
 419  A*26:01-B*35:01-DRB1*04:02  Israel Kavkazi Jews 0.70802,840
 420  A*74:01:01-B*35:01:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.7040142
 421  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.7020356
 422  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 423  A*02:01-B*35:01-C*04:01-DRB1*01:01  Italy pop 5 0.7000975
 424  A*11:01-B*35:01-C*04:01-DRB1*01:01  Italy pop 5 0.7000975
 425  A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 426  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 427  B*35:01-C*03:04  Mexico Mexico City Mestizo population 0.6993143
 428  B*35:01-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 429  B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 430  B*35:01-C*04:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 431  A*02:01:01-B*35:01:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 432  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 433  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 434  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 435  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 436  A*02:01:01-B*35:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 437  A*02:01-B*35:01-C*04:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 0.6944144
 438  A*03:01-B*35:01-C*04:01-DRB1*08:01  Brazil Vale do Ribeira Quilombos 0.6944144
 439  A*11:01:01-B*35:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 440  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 441  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 442  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*04:11:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 443  A*31:01:02-B*35:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 444  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 445  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 446  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 447  A*68:03:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 448  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.69131,376
 449  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 450  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.6881218
 451  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.68601,028
 452  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 0.68501,234
 453  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.673223,595
 454  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.67021,510
 455  A*11:01-B*35:01-DRB1*01:01  Croatia pop 4 0.67004,000
 456  A*03:01-B*35:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 0.6667150
 457  A*24:02-B*35:01-C*04:01-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.66491,376
 458  A*24:04-B*35:01-DRB1*04:02  Israel Kavkazi Jews 0.65402,840
 459  B*35:01-DRB1*07:01  Italy pop 5 0.6500975
 460  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.6494339
 461  A*01:01-B*35:01-DRB1*11:04  Israel Bukhara Jews 0.64702,317
 462  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Nicaragua Mestizo (G) 0.6452155
 463  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:03  Nicaragua Mestizo (G) 0.6452155
 464  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.6452155
 465  B*35:01-C*03:05-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 466  B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 467  B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6400234
 468  A*31:04-B*35:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.6390336
 469  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.63673,456,066
 470  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Portugal minority 0.63201,176
 471  A*24:02-B*35:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.6300105
 472  B*35:01-DRB1*14:01  Italy pop 5 0.6300975
 473  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 474  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 475  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 476  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.61381,463
 477  A*02:01-B*35:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.6061330
 478  A*24:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.6061330
 479  A*24:02-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.6061330
 480  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Austria minority 0.60401,698
 481  A*03:01-B*35:01-C*04:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.6000159
 482  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.6000159
 483  A*74:01-B*35:01-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Africa Worcester 0.6000159
 484  A*31:01-B*35:01  USA Hispanic pop 2 0.59801,999
 485  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Portugal minority 0.59601,176
 486  A*02:01-B*35:01-DRB1*03:01-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 487  A*02:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 488  A*02:01-B*35:01-DRB1*04:11-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 489  A*02:01-B*35:01-DRB1*08:01-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 490  A*02:01-B*35:01-DRB1*13:01-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 491  A*02:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 492  A*23:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 493  A*26:01-B*35:01-DRB1*14:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 494  A*31:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 495  A*31:01-B*35:01-DRB1*14:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 496  A*68:01-B*35:01-DRB1*04:02-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 497  A*68:01-B*35:01-DRB1*04:03-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 498  A*68:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 499  A*68:01-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 500  A*68:01-B*35:01-DRB1*14:01-DQB1*03:01  Mexico Veracruz Xalapa 0.595284

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 6,157) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 62  


   

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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