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 5,004) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*29-B*44-DRB1*15-DQB1*06  Mexico Oaxaca, Oaxaca city 0.6623151
 402  A*29-B*44-DRB1*07-DQB1*02  Mexico Mexico City Metropolitan Area Rural 0.6579150
 403  A*29-B*44-DRB1*14-DQB1*05  Mexico Mexico City Metropolitan Area Rural 0.6579150
 404  A*29:01-B*44:03-DRB1*07:01  Israel USA Jews 0.65306,058
 405  A*29-B*15:10-DRB1*01-DQB1*05  Mexico Mexico City Center 0.6494152
 406  A*29-B*51-DRB1*13-DQB1*03:01  Mexico Mexico City Center 0.6494152
 407  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Romania minority 0.64801,234
 408  A*29-B*44-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.6470539
 409  A*29-B*08-DRB1*03:01-DQB1*02  Mexico Durango, Durango city 0.6452153
 410  A*29-B*18-DRB1*11-DQB1*03:01  Mexico Durango, Durango city 0.6452153
 411  A*29-B*44-DRB1*04-DQB1*03:02  Mexico Guanajuato, Leon 0.641078
 412  A*29-B*45-DRB1*09-DQB1*02  Mexico Guanajuato, Leon 0.641078
 413  A*29:02-B*45:01-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*18:01  Tanzania Maasai 0.6390336
 414  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6270405
 415  A*29-B*15:17-DRB1*13-DQB1*06  Mexico Mexico City East 0.625079
 416  A*29-B*44-DRB1*04-DQB1*03:02  Mexico Mexico City East 0.625079
 417  A*29-B*08-DRB1*03:01-DQB1*02  Mexico Hidalgo Rural 0.617381
 418  A*29-B*44-DRB1*07-DQB1*02  Mexico Hidalgo Rural 0.617381
 419  A*29-B*44-DRB1*13-DQB1*06  Mexico Hidalgo Rural 0.617381
 420  A*29:01-B*14:02-DRB1*07:01  Israel Poland Jews 0.617013,871
 421  A*29-B*44-DRB1*14-DQB1*05  Mexico Guanajuato Rural 0.6135162
 422  A*29-B*44-DRB1*13-DQB1*06  Mexico Durango Rural 0.6116326
 423  A*29-B*44-C*16-DRB1*07-DQB1*02-DPB1*11  Norway ethnic Norwegians 0.61004,510
 424  A*29-B*13-DRB1*07-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 425  A*29-B*15:09-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 0.609882
 426  A*29-B*35-DRB1*14-DQB1*05  Mexico Morelos, Cuernavaca 0.609882
 427  A*29-B*45-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 0.609882
 428  A*29:02-B*15:17-DRB1*07:01  Israel Tunisia Jews 0.60609,070
 429  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.60302,411
 430  A*29:01-B*08:01-C*02:02-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.6000159
 431  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
 432  A*29:02-C*16:01  Italy pop 5 0.6000975
 433  A*29-B*44-DRB1*07-DQB1*02  Mexico Puebla Rural 0.5995833
 434  A*29:01-B*07:02-DRB1*15:01-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 435  A*29:01-B*44:02-DRB1*01:01-DQB1*05:01  Mexico Veracruz Xalapa 0.595284
 436  A*29:01-B*44:02-DRB1*07:08-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 437  A*29-B*07-DRB1*13-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 438  A*29-B*15:01-DRB1*12-DQB1*03:01  Mexico Jalisco, Zapopan 0.5952168
 439  A*29-B*38-DRB1*13-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 440  A*29-B*44-DRB1*07-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 441  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 442  A*29:02:01-B*35:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 443  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 444  A*29:02:01-B*44:03:01-C*16:02:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 445  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
 446  A*29:02:01-B*53:01:01-C*04:01:01-DRB1*04:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 447  A*29:02:01-B*58:02:01-C*16:01:01-DRB1*12:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*18:01:01  Brazil Rio de Janeiro Parda 0.5882170
 448  A*29:02:01-B*35:01:01-C*16:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 449  A*29-B*44-DRB1*13-DQB1*06  Mexico Veracruz, Veracruz city 0.5814171
 450  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.58054,889
 451  A*29-B*07-DRB1*11-DQB1*03:01  Mexico San Luis Potosi Rural 0.574787
 452  A*29-B*44-DRB1*07-DQB1*02  Mexico San Luis Potosi Rural 0.574787
 453  A*29-B*45-DRB1*01-DQB1*05  Mexico San Luis Potosi Rural 0.574787
 454  A*29-B*45-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 0.574787
 455  A*29-B*44-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.5731348
 456  A*29:01-B*07:05-DRB1*10:01  Israel Ashkenazi Jews pop 3 0.57104,625
 457  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Panama 0.5700462
 458  A*29:01-B*08:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 459  A*29:01-B*38:01-DRB1*14:01-DQB1*05:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 460  A*29:01-B*44:02-DRB1*12:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 461  A*29:01-B*44:02-DRB1*15:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 462  A*29:01-B*45:01-DRB1*09:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 463  A*29:01-B*58:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 464  A*29-B*44-DRB1*13-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.5525181
 465  A*29-B*45-DRB1*15-DQB1*06  Mexico Tlaxcala, Tlaxcala city 0.5525181
 466  A*29:01-B*41:01-DRB1*04:05  Israel Iraq Jews 0.548013,270
 467  A*29-B*44-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 0.5464183
 468  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 469  A*29-B*45-DRB1*14-DQB1*05  Mexico Veracruz, Xalapa 0.5348187
 470  A*29-B*44-DRB1*07-DQB1*02  Mexico Mexico City North 0.5312751
 471  A*29-B*49-DRB1*13-DQB1*06  Mexico Aguascalientes state 0.526395
 472  A*29-B*07  Macedonia 0.5245286
 473  A*29-B*07-C*15  Macedonia 0.5245286
 474  A*29-C*15  Macedonia 0.5245286
 475  A*29:02-B*44:03-DRB1*01:01  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 476  A*29:01-B*07:02-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 477  A*29:01-B*15:10-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 478  A*29:01-B*35:01-DRB1*11:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 479  A*29:01-B*51:01-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 480  A*29:01-B*51:06-DRB1*13:02-DQB1*03:05  Iran Tabriz Azeris 0.515597
 481  A*29-B*44-DRB1*07-DQB1*02  Mexico Nayarit, Tepic 0.515597
 482  A*29-B*44-DRB1*11-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 483  A*29-B*44-DRB1*13-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 484  A*29:01-B*07:05-DRB1*04:03  Israel Iraq Jews 0.513013,270
 485  A*29:02-B*14:02-DRB1*07:01  Israel Ashkenazi Jews pop 3 0.51304,625
 486  A*29-B*14:02-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.5128192
 487  A*29-B*44-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.5128192
 488  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.5112185,391
 489  A*29-B*49-C*17-DRB1*14-DQB1*06  Sudan Khartoum 0.510098
 490  A*29-B*08-DRB1*03:01-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 491  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 492  A*29-B*44-DRB1*07-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 493  A*29-B*45-DRB1*14-DQB1*05  Mexico Sonora, Hermosillo 0.505199
 494  A*29-B*57-DRB1*07-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 495  A*29:01-B*44:03-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*55:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 496  A*29:01-B*49:01-C*07:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 497  A*29:02-B*15:03-C*02:10-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 498  A*29:02-B*35:01-C*04:01-DRB1*15:03-DQA1*05:01-DQB1*06:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 499  A*29:02-B*44:03-C*14:03-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 500  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

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 5,004) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  


   

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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