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 12,096) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 121  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*05:01  South Korea pop 1 1.7000324
 802  DRB1*04:03-DQA1*03-DQB1*03:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 803  DRB1*04:03-DQA1*04:01-DQB1*03:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 804  DRB1*04:03-DQB1*03:02-DPB1*05:01  South Korea pop 1 1.7000324
 805  DRB1*04:08-DQB1*03:02  Mexico Oaxaca Zapotec 1.700090
 806  A*02-B*40:02-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 1.6990824
 807  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Durango Rural 1.6820326
 808  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 1.6807119
 809  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 1.6807119
 810  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 1.67501,189
 811  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 1.6736236
 812  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 1.6729266
 813  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz, Orizaba 1.666760
 814  A*02-B*15:48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 815  A*02-B*39-DRB1*04:03-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 816  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 817  A*02-B*44-DRB1*04-DQB1*03:02  Mexico Morelos Rural 1.666730
 818  A*02-B*48-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 819  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 820  A*03-B*51-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 821  A*24-B*15:30-DRB1*04-DQB1*03:02  Mexico Morelos Rural 1.666730
 822  A*24-B*15-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 823  A*24-B*35-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 824  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Orizaba 1.666760
 825  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 826  A*24-B*40-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 827  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 828  A*30-B*18-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 829  A*30-B*58-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 830  A*31:01-B*39:06-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 1.6667150
 831  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 832  A*31-B*51-DRB1*14-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 833  A*66-B*35-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 834  A*68-B*15:30-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 835  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 836  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Morelos Rural 1.666730
 837  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Orizaba 1.666760
 838  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 839  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Morelos Rural 1.666730
 840  A*68-B*40:05-DRB1*04-DQB1*03:02  Mexico Veracruz, Orizaba 1.666760
 841  A*68-B*40-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 842  A*68-B*52-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 843  A*02-B*39-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 1.66241,173
 844  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 1.6575181
 845  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 1.6556150
 846  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 1.6529121
 847  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 1.6529121
 848  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 1.6447150
 849  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Korean 1.641877,584
 850  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.6393183
 851  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 852  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.6393183
 853  A*02-B*38-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 854  A*02-B*39-DRB1*14-DQB1*03:02  Mexico Colima, Colima city 1.639361
 855  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 856  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 857  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 858  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 859  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 860  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 861  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 862  A*02-B*39-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 1.6383824
 863  A*31-B*48-DRB1*04:07-DQB1*03:02  Bolivia La Paz Aymaras 1.632087
 864  A*02-B*35-DRB1*04:03-DQB1*03:02  Bolivia La Paz Aymaras 1.631087
 865  DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 1.62701,999
 866  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Puebla Rural 1.6187833
 867  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.6129153
 868  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.6129153
 869  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.6129153
 870  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 1.6055218
 871  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 1.6055216
 872  A*31:01:02-B*39:01-DRB1*04:07-DQB1*03:02  USA South Dakota Lakota Sioux 1.6000302
 873  B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Ireland South 1.6000250
 874  B*15:01-DRB1*04:03-DQB1*03:02  South Korea pop 3 1.6000485
 875  DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 1.6000160
 876  DRB1*04:03-DQB1*03:02  Tunisia Gabes Arab 1.600096
 877  DRB1*04:04-DRB4*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Francisco Caucasian 1.6000220
 878  DRB1*04:04-DRB4*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Francisco Caucasian 1.6000220
 879  DRB1*04:05-DQA1*03-DQB1*03:02  Turkey pop 1 1.6000250
 880  A*02-B*15-DRB1*04:04-DQB1*03:02  Bolivia La Paz Aymaras 1.592087
 881  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 1.5909439
 882  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 1.5873125
 883  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 1.5873125
 884  DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.58011,064
 885  A*02-B*35-DRB1*04:07-DQB1*03:02  Bolivia Quechua 1.580069
 886  A*01-B*40:02-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.578995
 887  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.578995
 888  A*02-B*44-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.578995
 889  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 1.578995
 890  A*02:01-B*07:02-DRB1*04:02-DQB1*03:02  Tunisia Gabes 1.570095
 891  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 1.5663830
 892  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 893  A*11-B*27-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 894  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 895  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 896  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 897  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 898  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 1.5487226
 899  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 1.5487226
 900  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.546497

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 12,096) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 121  


   

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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