Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Sample Size:      Sample Year:     Loci Tested: 
Displaying 801 to 900 (from 7,533) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.4854103
 802  A*31:01:02-C*07:02:01  China Jingpo Minority 0.4850105
 803  A*31-B*35-DRB1*08-DQB1*04  Mexico Tlaxcala Rural 0.4819830
 804  A*31:01-B*48:01-C*08:01-DRB1*12:01  Russia Bering Island Aleuts 0.4808104
 805  A*31:01-B*56:01-C*12:03-DRB1*12:01  Russia Bering Island Aleuts 0.4808104
 806  A*31:01:02-B*15:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 807  A*31:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 808  A*31:01:02-B*35:20-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 809  A*31:01:02-B*35:21-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 810  A*31:01:02-B*52:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 811  A*31:01:02-B*78:02-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 812  A*31:01-B*40:02-DRB1*09:01-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 813  A*31:09-B*35:05-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 814  A*31-B*15:01-DRB1*08-DQB1*04  Mexico Puebla Rural 0.4796833
 815  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.4796833
 816  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.4796833
 817  A*31:04-B*47:03-C*07:01-DRB1*11:02-DQB1*03:01-DPB1*17:01  Tanzania Maasai 0.4792336
 818  A*31:08-B*44:03-DRB1*11:04  Israel Libya Jews 0.47903,739
 819  A*31:01-B*14:01-DRB1*07:01  New Zealand Maori with Admixed History 0.4762105
 820  A*31-B*27-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 821  A*31-B*35-DRB1*14-DQB1*05  Mexico Zacatecas, Fresnillo 0.4762103
 822  A*31-B*35-DRB1*16-DQB1*03:03  Mexico Zacatecas, Fresnillo 0.4762103
 823  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 824  A*31-B*44-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.4762103
 825  A*31-B*52-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 0.4762103
 826  A*31-B*58-DRB1*13-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 827  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.47601,994
 828  A*31:01-B*35:02-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.46504,625
 829  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.4630106
 830  A*31-B*15:03-DRB1*14-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 831  A*31-B*35-DRB1*08-DQB1*04  Mexico Chihuahua, Ciudad Juarez 0.4630106
 832  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 833  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 834  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Chihuahua, Ciudad Juarez 0.4630106
 835  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.4630106
 836  A*31-B*51-DRB1*08-DQB1*04  Mexico Chihuahua, Ciudad Juarez 0.4630106
 837  A*31-B*51-DRB1*16-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 838  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.4621539
 839  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.4587216
 840  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.4587326
 841  A*31-B*35-DRB1*08-DQB1*04  Mexico Durango Rural 0.4587326
 842  A*31-B*40:02-DRB1*16-DQB1*03:01  Mexico Durango Rural 0.4587326
 843  A*31-B*41-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.4587216
 844  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.4587216
 845  A*31:01:02-B*14:02:01-C*04:01:01-DRB1*04:05:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 846  A*31:01:02-B*35:17:01-C*01:02:01-DRB1*04:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 847  A*31:01:02-B*35:43:01-C*01:02:01-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.4545110
 848  A*31:01:02-B*40:02:01-C*03:05-DRB1*14:06:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 849  A*31:01:02-B*40:08-C*03:04:01-DRB1*04:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 850  A*31:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.4545330
 851  A*31-B*35-DRB1*03:01-DQB1*02  Mexico Nuevo Leon Rural 0.4545439
 852  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.4545439
 853  A*31:08-B*38:01-DRB1*04:02  Israel Argentina Jews 0.45104,307
 854  A*31:08-B*38:01-DRB1*04:02  Israel USA Jews 0.44906,058
 855  A*31:08-B*38:01-DRB1*14:01  Israel USSR Jews 0.448045,681
 856  A*31:01-B*40:01-DRB1*04:04  Israel Libya Jews 0.44503,739
 857  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.4425226
 858  A*31-B*35-DRB1*14:02  Chile Santiago 0.4423920
 859  A*31:01-B*35:02-DRB1*04:03  Israel Poland Jews 0.441013,871
 860  A*31-B*51-DRB1*11-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 861  A*31-B*52-DRB1*15-DQA1*01:03-DQB1*06:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 862  A*31:01-B*08:01-C*07:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*03:04-DQA1*05:01-DQB1*05:02  Portugal Azores Terceira Island 0.4386130
 863  A*31:01-B*27:05-C*02:02-E*01:03:01-F*01:01:01-G*01:01-DRB1*04:04-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 864  A*31:01-B*51:01-C*17:01-E*01:03:01-F*01:01:01-G*01:03-DRB1*15:01-DQA1*01:02-DQB1*06:02  Portugal Azores Terceira Island 0.4386130
 865  A*31:01-B*40:02-C*06:02-DRB1*14:02-DQA1*05:01-DQB1*06:02-DPB1*04:01  Nicaragua Managua 0.4329339
 866  A*31-B*15-DRB1*04  Brazil Para State 0.43125,000
 867  A*31-B*35-DRB1*08  Brazil Para State 0.43095,000
 868  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.4298348
 869  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.4298348
 870  A*31:01-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.42951,463
 871  A*31:01-B*35:01-C*03:05-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 872  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 873  A*31:01-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 874  A*31:01-B*40:02-C*03:05-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 875  A*31:01-B*40:02-C*03:05-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 876  A*31:01-B*52:01-C*03:03-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 877  A*31-B*35-DRB1*04  Brazil Para State 0.42625,000
 878  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - France minority 0.42601,406
 879  A*31-B*35-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.4248824
 880  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Tlaxcala Rural 0.4217830
 881  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 882  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQA1*01:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 883  A*31:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 884  A*31:01:02-B*39:01:01-C*02:02:02-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 885  A*31:01:02-B*54:01:01-C*01:02:01-DRB1*14:05:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*02:01:02-DPB1*47:01:01  Russian Federation Vologda Region 0.4202119
 886  A*31-B*35-DRB1*14-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.4202238
 887  A*31-B*39-DRB1*08-DQB1*04  Ecuador Coast Mixed Ancestry 0.4202238
 888  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 889  A*31-B*40:01-DRB1*15-DQB1*06  Mexico Chihuahua Chihuahua City 0.4202119
 890  A*31-B*40:02-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.4202238
 891  A*31-B*40:02-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 892  A*31-B*40:05-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 893  A*31-B*51-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 894  A*31-B*52-DRB1*08-DQB1*04  Ecuador Coast Mixed Ancestry 0.4202238
 895  A*31:01-B*40:02-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 0.420096
 896  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.4197833
 897  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.41881,189
 898  A*31-B*35-DRB1*08-DQB1*04  Mexico Chihuahua Rural 0.4184236
 899  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Chihuahua Rural 0.4184236
 900  A*31-B*40:05-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.4184236

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 7,533) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  


   

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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