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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 401 to 500 (from 4,000) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 40  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*31:01-B*40:02-C*03:05-DRB1*04:17-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 402  A*31:01-B*40:02-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 403  A*31:01-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 404  A*68:01-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 405  A*68:01-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 406  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 407  A*68:03-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 408  A*68:03-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 409  A*68:03-B*40:02-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:04  Mexico Chichen Itza Maya (prehispanic) 1.063847
 410  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Campeche Rural 1.063847
 411  A*24-B*40:02-DRB1*14-DQB1*03:01  Mexico Campeche Rural 1.063847
 412  A*32-B*40:02-DRB1*07-DQB1*03:03  Mexico Campeche Rural 1.063847
 413  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Aguascalientes state 1.052695
 414  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.052695
 415  A*24-B*40:02-DRB1*08-DQB1*04  Mexico Aguascalientes state 1.052695
 416  A*24-B*40:02-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 1.052695
 417  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.052695
 418  A*02-B*40:02-DRB1*08-DQB1*04  Ecuador Coast Mixed Ancestry 1.0504238
 419  A*02-B*40:02-DRB1*14-DQB1*03:01  Ecuador Coast Mixed Ancestry 1.0504238
 420  B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 1.0490143
 421  B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 422  A*24-B*40:02-DRB1*08-DQB1*04  Mexico Chihuahua Rural 1.0460236
 423  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 1.0460236
 424  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 1.041748
 425  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 1.041748
 426  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.030997
 427  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 1.02711,994
 428  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Jalisco Rural 1.0239585
 429  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 1.010199
 430  A*02:01:01-B*40:02  Mexico Guadalajara Mestizo pop 2 1.0000103
 431  A*02:07-B*40:02  Taiwan Siraya 1.000051
 432  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.0000100
 433  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Baja California Rural 1.000050
 434  A*11:01-B*40:02  Philippines Ivatan 1.000050
 435  A*11:02-B*40:02  Philippines Ivatan 1.000050
 436  A*23:01:01-B*40:02:01-C*04:01:01  South African Mixed ancestry 1.000050
 437  A*23:01:01-B*40:02:01-C*07:04:01  South African Mixed ancestry 1.000050
 438  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Poland 1.0000200
 439  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 1.0000150
 440  A*24:02-B*40:02-DRB1*04:01  Sweden Northern Sami 1.0000154
 441  A*24-B*40:02-DRB1*11-DQB1*03:01  Mexico Baja California Rural 1.000050
 442  A*26:01-B*40:02  Taiwan Puyuma 1.000050
 443  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Quintana Roo Rural 1.000050
 444  A*32-B*40:02-DRB1*15-DQB1*06  Mexico Baja Californa, Mexicali 1.0000100
 445  A*68:02-B*40:02-DRB1*13:03  Portugal Center 1.000050
 446  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 1.0000396
 447  A*68-B*40:02-DRB1*04-DQB1*04  Mexico Quintana Roo Rural 1.000050
 448  A*68-B*40:02-DRB1*08-DQB1*04  Mexico Quintana Roo Rural 1.000050
 449  B*40:02-C*03:04:01  Philippines Ivatan 1.000050
 450  B*40:02-C*07:02  Philippines Ivatan 1.000050
 451  B*40:02-DRB1*09:01:02  Taiwan Siraya 1.000051
 452  B*40:02-DRB1*11:01:01  Philippines Ivatan 1.000050
 453  B*40:02-DRB1*14:01  Taiwan Rukai 1.000050
 454  B*40:02-DRB1*14:05  Philippines Ivatan 1.000050
 455  B*40:02-DRB1*15:01:01  Taiwan Rukai 1.000050
 456  B*40:02-DRB1*15:02:01  Taiwan Tao 1.000050
 457  A*68-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City Metropolitan Area Rural 0.9868150
 458  B*40:02-C*03:05  USA Hispanic pop 2 0.97801,999
 459  A*26:01-B*40:02-C*03:04-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.974724,582
 460  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.9740152
 461  A*68-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City Center 0.9740152
 462  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.9709103
 463  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.9709103
 464  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Nicaragua Mestizo (G) 0.9677155
 465  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 0.9677153
 466  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 0.9677153
 467  A*02:01-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 468  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City South 0.961552
 469  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City South 0.961552
 470  A*11:01-B*40:02-C*02:02-DRB1*13:01  Russia Bering Island Aleuts 0.9615104
 471  A*24:02-B*40:02-C*01:06-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 472  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 473  A*24:17-B*40:02-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 474  A*24-B*40:02-DRB1*16-DQB1*03:01  Mexico Mexico City South 0.961552
 475  A*26:01-B*40:02-C*03:04-DRB1*08:01  Russia Bering Island Aleuts 0.9615104
 476  A*26:01-B*40:02-C*03:04-DRB1*14:01  Russia Bering Island Aleuts 0.9615104
 477  A*31:12-B*40:02-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 478  A*68:01-B*40:02-C*03:04-DRB1*04:04  Russia Bering Island Aleuts 0.9615104
 479  A*68:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 480  A*68:01-B*40:02-C*03:04-DRB1*08:02  Russia Bering Island Aleuts 0.9615104
 481  A*24-B*40:02-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.9592833
 482  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 483  A*24:02-B*40:02-C*03:05-DRB1*04:03-DQB1*03:02-DPB1*04:02  Panama 0.9500462
 484  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 485  A*02-B*40:02-DRB1*16-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 486  A*24-B*40:02-DRB1*14-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 487  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 488  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Zacatecas Rural 0.9294266
 489  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 490  A*24-B*40:02-DRB1*08-DQB1*04  Mexico Chihuahua, Ciudad Juarez 0.9259106
 491  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 492  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.9242539
 493  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.92131,189
 494  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.9202162
 495  A*24-B*40:02-DRB1*08-DQB1*04  Mexico Guanajuato Rural 0.9202162
 496  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.9202162
 497  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.9202162
 498  A*02-B*40:02-DRB1*11-DQB1*03:01  Mexico Coahuila Rural 0.9174216
 499  A*02-B*40:02-DRB1*14-DQB1*03:01  Mexico Durango Rural 0.9174326
 500  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.9174218

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 4,000) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 40  


   

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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