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 801 to 900 (from 6,005) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 61  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*24-B*39-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.9709824
 802  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Sinaloa, Culiacán 0.9709103
 803  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 0.9677153
 804  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Colombia North Wiwa El Encanto 0.961552
 805  A*24:02-B*39:01-C*07:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 806  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City South 0.961552
 807  A*31:12-B*39:01-C*07:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 808  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City South 0.961552
 809  A*26:01-B*39:01-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 810  A*32:01-B*39:10-C*04:01-DRB1*08:04-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 811  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.9592833
 812  A*02:06-B*39:01-DRB1*08:03  New Zealand Maori with Admixed History 0.9524105
 813  A*02:12-B*39:05-DRB1*08:02  New Zealand Maori with Admixed History 0.9524105
 814  A*24:02-B*39:01-DRB1*12:01  New Zealand Maori with Admixed History 0.9524105
 815  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 816  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 817  A*02-B*39-DRB1*04-DQB1*04  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 818  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 819  A*31-B*39-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 820  A*68-B*39-DRB1*04:04-DQB1*03:04  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 821  A*68-B*39-DRB1*04:07-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 822  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.9294266
 823  A*24-B*39-C*07-DRB1*12  Myanmar Shan 0.926054
 824  A*68-B*39-C*07-DRB1*04  Myanmar Shan 0.926054
 825  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 826  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 827  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Coahuila Rural 0.9174216
 828  A*68-B*39-DRB1*08:02  Chile Santiago 0.9097920
 829  A*02:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.9091330
 830  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon Rural 0.9091439
 831  A*02-B*39-C*07-DRB1*14  Myanmar Chin 0.909055
 832  A*11-B*39-C*12-DRB1*11  Myanmar Chin 0.909055
 833  A*68:07-B*39:08-C*07:02:01-DRB1*14:02-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 834  A*32-B*39-C*12-DRB1*13  Iran pop 4 0.9000855
 835  A*68-B*39-DRB1*04:07  USA NMDP Hispanic 0.9000449,844
 836  A*01-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 0.892955
 837  A*02-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 0.892956
 838  A*02-B*39-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 0.892955
 839  A*02-B*39-DRB1*16-DQB1*03:03  Mexico Veracruz, Cordoba 0.892956
 840  A*24-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 0.892956
 841  A*24-B*39-DRB1*13-DQB1*06  Mexico Veracruz, Coatzacoalcos 0.892955
 842  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 843  A*26:01-B*39:01-DRB1*04:01-DQB1*03:02  Iran Yazd 0.892956
 844  A*29-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 845  A*30-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 0.892956
 846  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 0.892956
 847  A*32:01-B*39:01-DRB1*01:01-DQB1*03:03  Iran Yazd 0.892956
 848  A*33-B*39-DRB1*13-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 849  A*68-B*39-DRB1*04-DQB1*04  Mexico Veracruz, Cordoba 0.892956
 850  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 851  A*32-B*39-DRB1*08-DQA1*04-DQB1*04  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 852  A*24-B*39-DRB1*08-DQB1*04  Mexico Nuevo Leon, Monterrey city 0.8850226
 853  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.8850226
 854  A*24:02-B*39:01-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.8772130
 855  A*02-B*39-DRB1*08-DQB1*04  Mexico Coahuila, Torreon 0.8750396
 856  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.8750396
 857  A*02-B*39  Macedonia 0.8741286
 858  A*02-B*39-C*12  Macedonia 0.8741286
 859  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Veracruz city 0.8721171
 860  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.86321,734
 861  A*24-B*39-DRB1*08-DQB1*04  Mexico Mexico City North 0.8632751
 862  A*31-B*39-DRB1*04  Brazil Para Cord Blood Unit 0.8612841
 863  A*02-B*39-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.860069
 864  B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.8600234
 865  A*02-B*39-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.8596348
 866  A*24-B*39-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.8596348
 867  A*02-B*39-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.85251,173
 868  A*68-B*39-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.85251,173
 869  B*39:01-C*07:02  Mexico Mexico City Mestizo pop 2 0.8500234
 870  B*39:02-C*07:02  Mexico Mexico City Mestizo pop 2 0.8500234
 871  A*68-B*39-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.8495824
 872  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.8434830
 873  A*02:01:01-B*39:02:02-C*03:04:01-DRB1*04:07  Costa Rica Amerindians (G) 0.8431125
 874  A*01-B*39-DRB1*12-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.8403119
 875  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 876  A*24-B*39-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.8403238
 877  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 878  A*11-B*39-C*07  Brazil Parana Japanese 0.8400192
 879  A*01-B*39-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 880  A*24-B*39-DRB1*04:10-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 881  A*68-B*39-DRB1*01:01-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 882  A*68-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Orizaba 0.833360
 883  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.8318539
 884  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.8318539
 885  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 0.8318539
 886  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.8287181
 887  A*02-B*39-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.82671,994
 888  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Chiapas Rural 0.8264121
 889  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Chiapas Rural 0.8264121
 890  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 891  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Sinaloa Rural 0.8197183
 892  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Colima, Colima city 0.819761
 893  A*02:01-B*39:01-C*12:03  Italy pop 5 0.8100975
 894  A*24-B*39-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.80991,173
 895  A*68:05-B*39:05:01-C*07:02:01-DRB1*04:07  Costa Rica Amerindians (G) 0.8065125
 896  A*02-B*39-DRB1*16  Brazil Para Cord Blood Unit 0.8060841
 897  A*24-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Xalapa 0.8021187
 898  A*68-B*39-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 0.802087
 899  A*02-B*39-DRB1*04:07  USA NMDP Hispanic 0.8000449,844
 900  A*02-B*39-DRB1*16  Iraq Erbil 0.8000372

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 801 to 900 (from 6,005) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 61  


   

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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