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 17,075) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 171  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*11-B*15-DRB1*12  China Shaanxi Province Han 1.100010,000
 802  A*23:01-B*15:03  Kenya Nandi 1.1000240
 803  A*23:01-B*15:03-C*02:02  Mali Bandiagara 1.1000138
 804  A*23:01-B*15:10  Mali Bandiagara 1.1000138
 805  A*23:01-B*15:17:01:01-DRB1*04:07:01  Portugal North 1.100046
 806  A*24:02:01-B*15:01:01:01-DRB1*13:01:01  Portugal North 1.100046
 807  A*24:02-B*15:01  Taiwan Minnan pop 1 1.1000102
 808  A*24:02-B*15:01  USA Caucasian pop 2 1.1000265
 809  A*24:02-B*15:01-C*04:01  South Korea pop 3 1.1000485
 810  A*24:02-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.1000170
 811  A*25:01-B*15:01:01:01-DRB1*07:01:01  Portugal North 1.100046
 812  A*32:01-B*15:01  USA Caucasian pop 2 1.1000265
 813  A*33:03-B*15:16  Mali Bandiagara 1.1000138
 814  A*74:01/74:02-B*15:03  Cameroon Yaounde 1.100092
 815  B*15:01-C*03:03  USA North American Native 1.1000187
 816  B*15:01-C*03:03-DRB1*15:01  South Korea pop 3 1.1000485
 817  B*15:01-C*03:04  USA Caucasian pop 2 1.1000265
 818  B*15:01-C*04:01  USA Asian 1.1000358
 819  B*15:01-C*07:02  USA Asian 1.1000358
 820  B*15:03-C*04:01  Kenya Luo 1.1000265
 821  B*15:25-DRB1*09:01:02  Taiwan Bunun 1.1000101
 822  B*15:01-C*03:03  USA Asian pop 2 1.09801,772
 823  A*02-B*15:15-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.0929183
 824  A*11:01-B*15:02-C*08:01-DRB1*15:01  Hong Kong Chinese BMDR 1.07487,595
 825  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Vietnamese 1.071143,540
 826  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 1.0695187
 827  A*02:01-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 828  A*24:02-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 829  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 830  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 831  A*31:01-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 832  A*68:01-B*15:01-C*01:02-DRB1*04:04-DQA1*03:01-DQB1*03:03  Mexico Chichen Itza Maya (prehispanic) 1.063847
 833  A*02-B*15:31-DRB1*07-DQB1*02  Mexico Campeche Rural 1.063847
 834  A*30:01-B*15:47-C*02:10-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 835  A*30:01-B*15:47-C*04:07-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 836  A*68:01-B*15:17-C*03:04-DRB1*13:01-DQB1*06:04  Colombia North Chimila Amerindians 1.063847
 837  A*74:01-B*15:03-C*02:10-DRB1*11:02-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 838  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 1.05211,994
 839  A*24:02-B*15:01-C*03:03  Italy pop 5 1.0500975
 840  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 1.049924,582
 841  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 842  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 1.0490143
 843  A*02-B*15:03-DRB1*08-DQB1*04  Mexico Sonora, Ciudad Obregón 1.0490143
 844  B*15:01-C*01:02  Mexico Mexico City Mestizo population 1.0490143
 845  A*02-B*15-C*03-DRB1*12  Myanmar Rakhine 1.042048
 846  A*02-B*15-C*07-DRB1*12  Myanmar Rakhine 1.042048
 847  A*11:01:01-B*15:01:01-DRB1*15:02:01  China Jingpo Minority 1.0420105
 848  A*11:01:01-B*15:07-DRB1*12:02:01  China Jingpo Minority 1.0420105
 849  A*11:01:01-B*15:32:01-C*07:02:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 850  A*11:01:01-B*15:32:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 851  A*11-B*15-C*04-DRB1*15  Myanmar Rakhine 1.042048
 852  A*11-B*15-C*08-DRB1*07  Myanmar Rakhine 1.042048
 853  A*11-B*15-C*08-DRB1*15  Myanmar Rakhine 1.042048
 854  A*24:02:01-B*15:02-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 855  B*15:02-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 856  B*15:02-C*08:04-DRB1*12:02:01  China Jingpo Minority 1.0420105
 857  B*15:07-C*12:03:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 858  B*15:07-DRB1*12:02:01  China Jingpo Minority 1.0420105
 859  B*15:25-DRB1*12:02:01  China Jingpo Minority 1.0420105
 860  B*15:32:01-C*12:03:01-DRB1*04:05:01  China Jingpo Minority 1.0420105
 861  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Guerrero state 1.0417144
 862  A*23-B*15:31-DRB1*11-DQB1*03:01  Mexico Quintana Roo, Cancun 1.041748
 863  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 1.041748
 864  A*34:02-B*15:17-C*05:01-DRB1*11:01  Brazil Vale do Ribeira Quilombos 1.0417144
 865  A*68-B*15:02-DRB1*08-DQB1*04  Mexico Quintana Roo, Cancun 1.041748
 866  A*02:01-B*15:15-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 867  A*02-B*15-DRB1*04:03-DQB1*03:03  Colombia Wayu from Guajira Peninsula 1.040048
 868  A*02-B*15-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 869  A*24:02-B*15:30-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 870  A*24-B*15-DRB1*04:07-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 871  A*24-B*15-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 872  A*29-B*15-DRB1*01:03-DQB1*05:01  Colombia Wayu from Guajira Peninsula 1.040048
 873  A*31-B*15-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 874  A*24:02:01-B*15:32:01-C*12:03:01  China Jingpo Minority 1.0350105
 875  A*24-B*15-C*04-DRB1*04-DQB1*03-DPB1*02  Myanmar Kayin 1.031044
 876  A*02-B*15:01-DRB1*08-DQB1*04  Mexico Nayarit, Tepic 1.030997
 877  A*02-B*15:03-DRB1*01-DQB1*05  Mexico Nayarit, Tepic 1.030997
 878  A*02-B*15:15-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.030997
 879  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Chinese 1.0309194
 880  A*68-B*15:10-DRB1*03:01-DQB1*02  Mexico Nayarit, Tepic 1.030997
 881  A*02:01-B*15:01-C*03:04-DRB1*04:01  Germany DKMS - France minority 1.02901,406
 882  A*01-B*15-C*06-DRB1*15-DQB1*06  Sudan Khartoum 1.020098
 883  A*02-B*15-C*03-DRB1*13-DQB1*05  Sudan Khartoum 1.020098
 884  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Puebla Rural 1.0192833
 885  A*02-B*15:01-DRB1*08-DQB1*04  Mexico Veracruz Rural 1.0166539
 886  A*02-B*15:03-DRB1*03:01-DQB1*02  Mexico Sonora, Hermosillo 1.010199
 887  A*30-B*15:03-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 1.010199
 888  A*30-B*15:09-DRB1*15-DQB1*02  Mexico Sonora, Hermosillo 1.010199
 889  A*01-B*15-DRB1*11-DQB1*02  Iraq Arabs 1.0100149
 890  A*01:01:01-B*15:02:01-C*18:01  South African Mixed ancestry 1.000050
 891  A*01:01:01-B*15:17:01-C*07:02:01  South African Indian population 1.000050
 892  A*01:01-B*15:16  Kenya Nandi 1.0000240
 893  A*01:01-B*15:16-C*14:02  Kenya Nandi 1.0000240
 894  A*01:01-B*15:17-DRB1*11:04  Armenia combined Regions 1.0000100
 895  A*01:01-B*15:67-C*14:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 896  A*01-B*15-C*07  Italy East Sicily 1.000050
 897  A*02:01:01-B*15:01:01:01-DRB1*15:01:01  Portugal Center 1.000050
 898  A*02:01:01-B*15:01:01-C*12:02:02  South African Mixed ancestry 1.000050
 899  A*02:01:01-B*15:01:01-DRB1*04:01:01  Portugal South 1.000049
 900  A*02:01:01-B*15:03:01-C*02:02:02  South African Mixed ancestry 1.000050

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 17,075) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 171  


   

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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