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 8,240) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 83  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*31:08-B*14:02-DRB1*01:02  Israel Druze 0.89505,914
 402  A*31:01-B*40:10-DRB1*11:01-DQB1*02:01  Iran Yazd 0.892956
 403  A*31:01-B*50:01-DRB1*07:01-DQB1*03:06  Iran Yazd 0.892956
 404  A*31:01-B*51:06-DRB1*04:01-DQB1*06:01  Iran Yazd 0.892956
 405  A*31-B*07-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 0.892955
 406  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 0.892956
 407  A*31-B*35-DRB1*08-DQB1*04  Mexico Veracruz, Coatzacoalcos 0.892955
 408  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco, Zapopan 0.8929168
 409  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 0.892956
 410  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 0.892955
 411  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 412  A*31-B*53-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 0.892955
 413  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.8850226
 414  A*31-B*51-C*15  Macedonia 0.8741286
 415  A*31-C*15  Macedonia 0.8741286
 416  A*31-DRB1*11  Macedonia 0.8741286
 417  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.8721171
 418  A*31:01-B*35:17-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.8658339
 419  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.8658339
 420  A*31-B*39-DRB1*04  Brazil Para Cord Blood Unit 0.8612841
 421  A*31:08-B*35:01-DRB1*04:02  Israel USSR Jews 0.852045,681
 422  A*31:08-B*35:08-DRB1*01:02  Israel Georgia Jews 0.85104,471
 423  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 424  A*31-B*35-DRB1*08-DQB1*04  Mexico Chihuahua Chihuahua City 0.8403119
 425  A*31-B*40:01-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 426  A*31-B*51-DRB1*04-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.8403119
 427  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 428  A*31-B*51-DRB1*04-DQB1*04  Mexico Chihuahua Chihuahua City 0.8403119
 429  A*31:01-B*08:01-DRB1*01:01-DQB1*05:01  Iran Saqqez-Baneh Kurds 0.833360
 430  A*31:01-B*54:01-DRB1*04:01-DQB1*04:01  Iran Saqqez-Baneh Kurds 0.833360
 431  A*31-B*18-DRB1*13:10-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 432  A*31-B*35-DRB1*08-DQB1*04  Mexico Veracruz, Orizaba 0.833360
 433  A*31-B*48-DRB1*08-DQB1*03:02  Mexico Veracruz, Orizaba 0.833360
 434  A*31-B*51-DRB1*04:07-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 435  A*31-B*51-DRB1*08:02-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 436  A*31-B*35-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 0.8287181
 437  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 438  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Chiapas Rural 0.8264121
 439  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 440  A*31-B*40:02-DRB1*14-DQB1*03:01  Mexico Chiapas Rural 0.8264121
 441  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Oaxaca Rural 0.8214485
 442  A*31:01-B*15:08-DRB1*09:01  Israel Bukhara Jews 0.82002,317
 443  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 444  A*31-B*40:05-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 445  A*31-B*48-DRB1*08-DQB1*04  Mexico Colima, Colima city 0.819761
 446  A*31-B*51-DRB1*15-DQB1*06  Mexico Colima, Colima city 0.819761
 447  A*31-B*52-DRB1*14-DQB1*03:01  Mexico Colima, Colima city 0.819761
 448  A*31-B*35-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.80991,173
 449  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.8065186
 450  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02:01  England North West 0.8000298
 451  A*31-B*35-DRB1*04:01  Colombia Barranquilla 0.8000188
 452  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.7955439
 453  A*31:01-G*01:01  Ecuador Amerindians 0.793763
 454  A*31:01-G*01:03  Ecuador Amerindians 0.793763
 455  A*31:01-G*01:05N  Ecuador Amerindians 0.793763
 456  A*31:12-G*01:03  Ecuador Amerindians 0.793763
 457  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Tamaulipas Rural 0.7937125
 458  A*31-B*51-DRB1*14-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 459  A*31-B*52-DRB1*14-DQB1*03:01  Mexico Tamaulipas Rural 0.7937125
 460  A*31-B*15-DRB1*04  Brazil Para Cord Blood Unit 0.7915841
 461  A*31-B*35-DRB1*08-DQB1*04  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 462  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 463  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 464  A*31-B*40:02-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 465  A*31-B*47-DRB1*11-DQB1*03:01  Mexico Nayarit Rural 0.781264
 466  A*31-B*51-C*15-DRB1*07  Myanmar Mon 0.781064
 467  A*31-B*51-C*15-DRB1*15  Myanmar Mon 0.781064
 468  A*31-B*52-C*12-DRB1*12  Myanmar Mon 0.781064
 469  A*31:01-B*35:01-C*08:01-DRB1*12:01-DQB1*03:01  Iran Gorgan 0.780064
 470  A*31:01-B*35:27-C*08:01-DRB1*11:01-DQB1*06:02  Iran Gorgan 0.780064
 471  A*31:02-B*35:01-C*15:02-DRB1*04:01-DQB1*06:02  Iran Gorgan 0.780064
 472  A*31:07-B*51:06-C*18:01-DRB1*13:01-DQB1*03:01  Iran Gorgan 0.780064
 473  A*31-B*35-C*03  Brazil Parana Japanese 0.7800192
 474  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.7794833
 475  A*31:08-B*35:08-DRB1*04:02  Israel USA Jews 0.77806,058
 476  A*31:08-B*35:08-DRB1*03:01  Israel Druze 0.77205,914
 477  A*31:01-B*15:08-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 478  A*31:01-B*27:05-DRB1*14:02-DQB1*03:01  Chile Mapuche 0.770066
 479  A*31:01-B*39:03-DRB1*14:02-DQB1*03:01  Chile Mapuche 0.770066
 480  A*31:01-B*39:09-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 481  A*31:01-B*39:09-DRB1*07:01-DQB1*03:03  Chile Mapuche 0.770066
 482  A*31:01-B*58:01-DRB1*13:02-DQB1*06:09  Chile Mapuche 0.770066
 483  A*31-B*35-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 0.7692192
 484  A*31-B*40:02-DRB1*08-DQB1*03:01  Mexico Sonora Rural 0.7614197
 485  A*31:08-B*40:01-DRB1*11:04  Israel Libya Jews 0.75403,739
 486  A*31-B*15-DRB1*08  Brazil Para Cord Blood Unit 0.7470841
 487  A*31-B*35-DRB1*14-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 488  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Yucatan Rural 0.7463132
 489  A*31:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:03-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 490  A*31:01-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 491  A*31:01-B*35:20-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 492  A*31:01-B*39:05-C*07:02-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 493  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 494  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 495  A*31:01-B*40:02-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Tixcacaltuyub Maya 0.746367
 496  A*31:01-B*40:02-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Tixcacaltuyub Maya 0.746367
 497  A*31-B*35-DRB1*08-DQB1*04  Mexico Zacatecas Rural 0.7435266
 498  A*31-B*35-DRB1*04:07  Chile Santiago 0.7278920
 499  A*31:01-B*51:01  USA Asian pop 2 0.72001,772
 500  A*31-B*07-DRB1*16:01-DQB1*05:02  Bolivia Quechua 0.720069

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 8,240) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 83  


   

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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