Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 2,566) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 26  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  DRB1*09-DQA1*03-DQB1*03  USA San Francisco Caucasian 1.6000220
 402  DRB1*14:02-DQA1*03-DQB1*04:02  Russia Siberia North East Kamchatka Koryak 1.600092
 403  DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.58011,064
 404  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 1.5525833
 405  A*02-B*44-C*05-DRB1*04-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 1.51061,743
 406  A*02-B*07-DRB1*04:02-DQA1*03-DQB1*03:02  Morocco 1.500096
 407  A*02-B*15-DRB1*04:01-DRB4*01:03-DQA1*03:01-DQB1*03:02  Spain Murcia 1.5000173
 408  DRB1*04:02-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 1.5000101
 409  DRB1*04:02-DQA1*03-DQB1*03:02  Russia Siberia Khanty Mansi 1.500068
 410  DRB1*04:03-DQA1*03:01-DQB1*03:02  Morocco Souss Region 1.500098
 411  DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 1.5000101
 412  DRB1*04:04-DQA1*03:01-DQB1*03:02  Australia New South Wales Aborigine 1.5000177
 413  DRB1*04:05-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 1.5000101
 414  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*04:02  South Korea pop 2 1.5000207
 415  DRB1*04:06-DQA1*03:01/03:02-DQB1*04:02  Ethiopia Amhara 1.500098
 416  DRB1*04-DQA1*03:01-DQB1*03:01  Belarus Vitebsk Region 1.500070
 417  DRB1*09:01-DQA1*03:01-DQB1*03:01  India Northeast Mech 1.500063
 418  DRB1*12:01-DQA1*03:01-DQB1*03:02  Japan pop 2 1.5000916
 419  A*02:01-B*35:12-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 420  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 421  A*24:02-B*35:12-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 422  A*24:02-B*35:20-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 423  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 424  A*31:01-B*35:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 425  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 426  A*68:03-B*35:43-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 427  DQA1*03-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Han 1.430070
 428  DRB1*04:01-DQA1*03:01-DQB1*03:01  Slovenia pop 2 1.4000140
 429  DRB1*04:01-DQA1*03-DQB1*03:02  Russia Siberia Negidal 1.400035
 430  DRB1*04:01-DQA1*03-DQB1*03:02  Turkey pop 1 1.4000250
 431  DRB1*04:01-DQA1*03-DQB1*03:03:02  Russia Siberia Polygus Evenk 1.400035
 432  DRB1*04:02-DQA1*03:01-DQB1*03:02  USA San Francisco Caucasian 1.4000220
 433  DRB1*04:03-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 1.400035
 434  DRB1*04:03-DQA1*03-DQB1*04:02  Russia Siberia Negidal 1.400035
 435  DRB1*04:04-DQA1*03:01-DQB1*03:02  Slovenia pop 2 1.4000140
 436  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 5 1.4000467
 437  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 438  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*05:01  China Canton Han 1.4000264
 439  DRB1*04:07-DQA1*03:01-DQB1*03:01  Slovenia pop 2 1.4000140
 440  DRB1*04:10-DQA1*03-DQB1*03:01/03:09  Russia Siberia Negidal 1.400035
 441  DRB1*04-DQA1*03:03-DQB1*03:01  Czech Republic pop 3 1.4000180
 442  DRB1*09:01:02-DQA1*03:01/03:02-DQB1*03:03  England pop 6 1.4000177
 443  DRB1*09:01-DRB4*01:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  USA San Francisco Caucasian 1.4000220
 444  DRB1*09:01-DRB4*01:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  USA San Francisco Caucasian 1.4000220
 445  DRB1*12:01/12:06-DQA1*03-DQB1*03:01/03:09  Russia Siberia Negidal 1.400035
 446  DRB1*12:01/12:06-DQA1*03-DQB1*03:01/03:09  Russia Siberia Ulchi 1.400073
 447  DRB1*12:01-DQA1*03-DQB1*03:03:02  Russia Siberia Polygus Evenk 1.400035
 448  DRB1*14:03-DQA1*03-DQB1*03:03:02  Russia Siberia Polygus Evenk 1.400035
 449  DRB1*14:03-DQA1*03-DQB1*04:02  Russia Siberia Polygus Evenk 1.400035
 450  DRB1*15:01-DQA1*03-DQB1*03:01  Russia Siberia Polygus Evenk 1.400035
 451  A*02-B*39-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 452  A*24-B*39-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 453  A*29-B*07-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 454  A*30-B*14-C*08-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 455  A*31-B*40-C*03-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 456  A*68-B*35-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 457  A*68-B*39-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 458  B*14-C*08-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 459  B*18-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 460  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 1.3761218
 461  A*02:06-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 1.3761218
 462  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 1.3584833
 463  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 1.3522833
 464  A*24-B*39-DRB1*04-DQA1*03-DQB1*03:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 465  A*32-B*48-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 466  A*24:02-B*40:02-C*07:01-DRB1*04:04-DQA1*03:01-DQB1*03:01  Brazil Puyanawa 1.3333150
 467  A*31:01-B*39:01-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 1.3333150
 468  A*02:02-B*15:03-C*02:02-E*01:03:01-F*01:01:01-G*01:01-DRB1*09:01:02-DQA1*03:03-DQB1*02:02  Portugal Azores Terceira Island 1.3158130
 469  A*02-B*13-DRB1*07-DQA1*03-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3100112
 470  A*03-B*07-DRB1*04-DQA1*03:01-DQB1*03:02  Georgia Svaneti Region Svan 1.300080
 471  A*68:01-B*58:02-C*06:02-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*04:02  South Africa Worcester 1.3000159
 472  DRB1*04:01-DRB4*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Francisco Caucasian 1.3000220
 473  DRB1*04:01-DRB4*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Francisco Caucasian 1.3000220
 474  DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Nuevo Leon Mestizo 1.300040
 475  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Nuevo Leon Mestizo 1.300040
 476  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 11 1.3000149
 477  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPB1*02:01  South Korea pop 1 1.3000324
 478  DRB1*04:07-DQA1*03:01-DQB1*03:01  Mexico Highlands Mestizos 1.3000160
 479  DRB1*09:01-DQA1*03-DQB1*02:01/02:02  Equatorial Guinea Bioko Island Bubi 1.3000100
 480  DRB1*13:04-DQA1*03-DQB1*03:03:02  Equatorial Guinea Bioko Island Bubi 1.3000100
 481  DQA1*03-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Hui 1.250040
 482  DQA1*03-DQB1*06:01  China, Xinjiang Uyghur Autonomous Region Hui 1.250040
 483  DQA1*03-DQB1*06:03  China, Xinjiang Uyghur Autonomous Region Hui 1.250040
 484  DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 1.24251,064
 485  DQA1*03:02-DQB1*03:03-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 1.22771,064
 486  A*02:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02  Kosovo 1.2100124
 487  A*02:13-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*14:01  Venezuela Sierra de Perija Yucpa 1.200073
 488  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 1.20003,078
 489  A*24:02-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 490  A*68:01-B*39:09-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 491  A*68:01-B*40:04-C*03:02/03:04-DRB1*04:03-DQA1*03:01:01-DQB1*03:01-DPA1*02-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 492  DQA1*03-DQB1*03:01  Japan Fukuoka 1.200086
 493  DRB1*03:01-DQA1*03:01-DQB1*02:01  India Northeast Sunni 1.2000188
 494  DRB1*04:01-DQA1*03-DQB1*03:03:02  Russia Siberia Chukotka Peninsula Eskimo 1.200080
 495  DRB1*04:01-DQA1*03-DQB1*04:02  Russia Siberia Irkutsk Tofalar 1.200043
 496  DRB1*04:03-DQA1*03-DQB1*03:02  Russia Siberia Irkutsk Tofalar 1.200043
 497  DRB1*04:04-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Oromo 1.200083
 498  DRB1*04:04-DQA1*03-DQB1*04:02  Russia Siberia Irkutsk Tofalar 1.200043
 499  DRB1*04:06-DQA1*03:01/03:02-DQB1*04:02  Ethiopia Oromo 1.200083
 500  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*05:01  South Korea pop 1 1.2000324

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 2,566) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 26  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional