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 1,218) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*11-B*44-DRB1*07-DQB1*02  Mexico Guanajuato Rural 0.3067162
 402  A*02-B*44-DRB1*07-DQB1*02  Mexico Durango Rural 0.3058326
 403  A*23-B*44-DRB1*07-DQB1*02  Mexico Durango Rural 0.3058326
 404  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.30561,463
 405  A*26:01-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.3030330
 406  A*29:01-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.3030330
 407  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.30185,926
 408  A*02:01-B*44:02-C*05:01-DRB1*07:01:01-DQB1*02:01  England North West 0.3000298
 409  A*11:01-B*44:03-C*01:02-DRB1*07:01:01-DQB1*02:01  England North West 0.3000298
 410  A*24:02-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 0.3000298
 411  A*29:01-B*44:03-C*07:01-DRB1*07:01-DQA1*03:03-DQB1*02:02-DPB1*02:01  South Africa Worcester 0.3000159
 412  A*33:01-B*44:03-C*02:10-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 413  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQA1*01:02-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 414  A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.29801,510
 415  A*24-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 416  A*26-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 417  A*68-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 418  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.29525,849
 419  A*02-B*44-DRB1*07-DQB1*02  Mexico Veracruz, Veracruz city 0.2907171
 420  A*29-B*44-DRB1*07-DQB1*02  Mexico Veracruz, Veracruz city 0.2907171
 421  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 422  A*03:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 423  A*23-B*44-C*04-DRB1*07-DQB1*02-DPB1*04  Norway ethnic Norwegians 0.29004,510
 424  A*03:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 425  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 426  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 427  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 428  A*68:01:02-B*44:03:02-C*07:06-DRB1*07:03-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 429  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.285823,595
 430  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.28494,204
 431  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.28233,456,066
 432  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.28101,999
 433  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 434  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.27704,856
 435  A*29-B*44-DRB1*07-DQB1*02  Mexico Tlaxcala, Tlaxcala city 0.2762181
 436  A*03:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.27404,335
 437  A*01-B*44-DRB1*07-DQB1*02  Mexico Sinaloa Rural 0.2732183
 438  A*26-B*44-DRB1*07-DQB1*02  Mexico Sinaloa Rural 0.2732183
 439  A*23:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 440  A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 441  A*68:01:02-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 442  A*02-B*44-DRB1*07-DQB1*02  Mexico Veracruz, Xalapa 0.2674187
 443  A*23-B*44-DRB1*07-DQB1*02  Mexico Veracruz, Xalapa 0.2674187
 444  A*29-B*44-DRB1*07-DQB1*02  Mexico Veracruz, Xalapa 0.2674187
 445  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.26445,849
 446  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.2629951
 447  A*24:02:01:01-B*44:02:01:01-C*16:04:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 448  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 449  A*24:02-B*44:03-C*14:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 450  A*25:01-B*44:02-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 451  A*34:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 452  A*68:03-B*44:03-C*07:02-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 453  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.25951,734
 454  A*24-B*44-C*16-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.25881,743
 455  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.258011,446
 456  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.25691,075
 457  A*11-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.2560585
 458  A*23-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.2560585
 459  A*26-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.2560585
 460  A*03-B*44-DRB1*07-DQB1*02  Mexico Sonora Rural 0.2538197
 461  A*23-B*44-DRB1*07-DQB1*02  Mexico Sonora Rural 0.2538197
 462  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.25174,204
 463  A*23-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.2500396
 464  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.243114,339
 465  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.24175,849
 466  A*02:01:01-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 Caucasian 0.2414521
 467  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.24004,204
 468  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.23953,456,066
 469  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 470  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.235611,499
 471  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.23004,204
 472  A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 473  A*23:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 474  A*31:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 475  A*01-B*44-DRB1*07-DQB1*02  Mexico Coahuila Rural 0.2294216
 476  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.22932,403
 477  A*02-B*44-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.22551,994
 478  A*24:02-B*44:02-C*02:02-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.223614,339
 479  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.22302,411
 480  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.221311,446
 481  A*26-B*44-DRB1*07-DQB1*02  Mexico Nuevo Leon, Monterrey city 0.2212226
 482  A*68-B*44-DRB1*07-DQB1*02  Mexico Nuevo Leon, Monterrey city 0.2212226
 483  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.21755,926
 484  A*03:01-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 485  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  Nicaragua Managua 0.2165339
 486  A*32:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 487  A*23-B*44-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 488  A*24-B*44-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 489  A*30-B*44-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 490  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.2101714
 491  A*03-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.2092236
 492  A*11-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.2092236
 493  A*30-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.2092236
 494  A*33-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.2092236
 495  A*03-B*44-DRB1*07-DQB1*02  Mexico Oaxaca Rural 0.2053485
 496  A*23-B*44-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.20041,994
 497  A*03:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.200314,339
 498  A*03:01-B*44:03-C*04:01-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 499  A*23:01-B*44:03-C*03:04-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 500  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.19793,456,066

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 1,218) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  


   

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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