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 2,081) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Durango Rural 0.1529326
 802  A*01:01-B*48:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 803  A*02:01-B*48:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 804  A*02:01-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 805  A*02:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 806  A*02:02-B*48:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 807  A*11:01-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 808  A*11:01-B*48:01-DRB1*08:10-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 809  A*11:01-B*48:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 810  A*24:02-B*48:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 811  A*24:02-B*48:01-DRB1*04:11-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 812  A*24:02-B*48:01-DRB1*08:01-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 813  A*24:02-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 814  A*24:02-B*48:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 815  A*31:01-B*48:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 816  A*32:01-B*48:01-DRB1*15:02-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 817  A*36-B*48:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 818  A*68:01-B*48:01-DRB1*04:05-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 819  A*68:01-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 820  A*68:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 821  A*68:01-B*48:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 822  A*68:01-B*48:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 823  A*68:03-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 824  A*24-B*48-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.15031,994
 825  A*31-B*48-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.15031,994
 826  A*24:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14871,463
 827  B*48:01-C*03:04  USA Asian pop 2 0.14501,772
 828  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.1433348
 829  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 830  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 831  A*31-B*48-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.1433348
 832  A*32-B*48-DRB1*13-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 833  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 834  B*48:03-C*08:01  USA Asian pop 2 0.14201,772
 835  A*02:01-B*48:01-C*08:01-DRB1*12:01  Germany DKMS - China minority 0.14101,282
 836  A*24:02-B*48:01-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 837  A*02:11:01-B*48:04:01-C*03:03:01-DRB1*15:02:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 838  A*32:01:01-B*48:04:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 839  A*68:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 840  A*24:02-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.13997,595
 841  A*24:02-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.13983,892
 842  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13301,772
 843  A*24:07-B*48:01-C*08:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.13301,772
 844  A*24-B*48-DRB1*08-DQB1*04  Mexico Mexico City North 0.1328751
 845  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City North 0.1328751
 846  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.1328751
 847  A*11:01-B*48:01-C*08:01-DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 848  A*24:02-B*48:01-C*08:03-DRB1*15:01  Japan pop 16 0.130018,604
 849  A*24-B*48-DRB1*16-DQB1*03:01  Ecuador Mixed Ancestry 0.12791,173
 850  A*68-B*48-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.12791,173
 851  A*02-B*48-DRB1*14:02  Chile Santiago 0.1261920
 852  A*24:25-B*48:01  USA Hispanic pop 2 0.12601,999
 853  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.12561,189
 854  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.12531,994
 855  A*02-B*48-DRB1*08-DQB1*04  Mexico Coahuila, Torreon 0.1250396
 856  A*11:01-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.125018,604
 857  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.1250396
 858  A*36-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.1250396
 859  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 860  A*02:01-B*48:01-DRB1*11:04  Israel Poland Jews 0.124013,871
 861  A*24-B*48-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.1214824
 862  A*24-B*48-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1214824
 863  A*68-B*48-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1214824
 864  A*02-B*48-DRB1*08  Brazil Para Cord Blood Unit 0.1209841
 865  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 866  A*03-B*48-DRB1*08-DQB1*04  Mexico Tlaxcala Rural 0.1205830
 867  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 868  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1205830
 869  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 870  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 871  A*26-B*48-DRB1*16  Albania pop 2 0.1200432
 872  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.1199833
 873  A*29-B*48-DRB1*08  Brazil Para Cord Blood Unit 0.1189841
 874  A*24:02-B*48:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.11723,892
 875  A*02:01-B*48:01-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.11601,282
 876  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 877  A*02-B*48-DRB1*14-DQB1*05  Mexico Nuevo Leon Rural 0.1136439
 878  A*03-B*48-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 0.1136439
 879  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 880  A*31-B*48-DRB1*08-DQB1*04  Mexico Nuevo Leon Rural 0.1136439
 881  A*02:06-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03-DPB1*02:01  Russia Karelia 0.11291,075
 882  A*02:11:01-B*48:02:01-C*04:01:01-DRB1*04:11:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1105221
 883  A*68-B*48-DRB1*04:92  Chile Santiago 0.1098920
 884  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Oaxaca Rural 0.1027485
 885  A*03-B*48-DRB1*12-DQB1*03:01  Mexico Oaxaca Rural 0.1027485
 886  A*24-B*48-DRB1*11-DQB1*03:01  Mexico Oaxaca Rural 0.1027485
 887  A*31-B*48-DRB1*08-DQB1*04  Mexico Oaxaca Rural 0.1027485
 888  A*68-B*48-DRB1*08-DQB1*04  Mexico Oaxaca Rural 0.1027485
 889  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10104,856
 890  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.10021,994
 891  A*02:01-B*48:01-DRB1*11:04  Israel USA Jews 0.10006,058
 892  A*02-B*48-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.1000359,423
 893  A*02-B*48-DRB1*14:02  USA NMDP Hispanic 0.1000449,844
 894  A*11-B*48-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.1000359,423
 895  A*24:02-B*48:01-C*08:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 896  A*24:02-B*48:01-C*12:03-DRB1*08:02  Italy pop 5 0.1000975
 897  A*24-B*48-DRB1*04:04  USA NMDP Hispanic 0.1000449,844
 898  A*24-B*48-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.1000359,423
 899  A*26:01-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 900  A*26-B*48-DRB1*12  Russia Moscow Pop 2 0.10002,000

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 2,081) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  


   

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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