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 1,801 to 1,900 (from 6,198) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 62  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,801  A*02-B*39-DRB1*14-DQB1*05  Mexico Nayarit Rural 0.781264
 1,802  A*02-B*39-DRB1*14-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 1,803  A*02-B*39-DRB1*15  Brazil Para State 0.02895,000
 1,804  A*02-B*39-DRB1*15  Brazil South East Cord Blood 0.026011,409
 1,805  A*02-B*39-DRB1*15  Brazil South Ribeirao Preto 0.3000184
 1,806  A*02-B*39-DRB1*15  China Shaanxi Province Han 0.100010,000
 1,807  A*02-B*39-DRB1*15  Germany pop 7 0.200013,386
 1,808  A*02-B*39-DRB1*15  Iraq Erbil 0.2000372
 1,809  A*02-B*39-DRB1*15  Russia Moscow Pop 2 0.03002,000
 1,810  A*02-B*39-DRB1*15:01-DQB1*06:02  Bolivia Quechua 1.450069
 1,811  A*02-B*39-DRB1*15-DQB1*05  Mexico Oaxaca Rural 0.2053485
 1,812  A*02-B*39-DRB1*15-DQB1*06  Mexico Veracruz Rural 0.0924539
 1,813  A*02-B*39-DRB1*15-DQB1*06  Mexico Chiapas Rural 0.4132121
 1,814  A*02-B*39-DRB1*15-DQB1*06  Mexico Veracruz, Veracruz city 0.2907171
 1,815  A*02-B*39-DRB1*15-DQB1*06  Mexico Oaxaca, Oaxaca city 0.3311151
 1,816  A*02-B*39-DRB1*16  Brazil South Ribeirao Preto 0.3000184
 1,817  A*02-B*39-DRB1*16  Brazil South East Cord Blood 0.257011,409
 1,818  A*02-B*39-DRB1*16  Brazil Para State 0.15145,000
 1,819  A*02-B*39-DRB1*16  Brazil Para Cord Blood Unit 0.8060841
 1,820  A*02-B*39-DRB1*16  Iran pop 4 0.0700855
 1,821  A*02-B*39-DRB1*16  Iraq Erbil 0.8000372
 1,822  A*02-B*39-DRB1*16  Italy Lombardy 0.2400674
 1,823  A*02-B*39-DRB1*16  Macedonia 0.6993286
 1,824  A*02-B*39-DRB1*16  Russia Moscow Pop 2 0.19002,000
 1,825  A*02-B*39-DRB1*16:01  Chile Santiago 0.1630920
 1,826  A*02-B*39-DRB1*16:02  Chile Santiago 0.6505920
 1,827  A*02-B*39-DRB1*16:02  USA NMDP Hispanic 0.1000449,844
 1,828  A*02-B*39-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 1,829  A*02-B*39-DRB1*16:02-DQA1*05-DQB1*03:01  Mexico Mazatecan 3.300089
 1,830  A*02-B*39-DRB1*16:02-DQB1*03:01  Colombia Wayu from Guajira Peninsula 1.040048
 1,831  A*02-B*39-DRB1*16:02-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 1,832  A*02-B*39-DRB1*16:12  Chile Santiago 0.0543920
 1,833  A*02-B*39-DRB1*16:19  Chile Santiago 0.0272920
 1,834  A*02-B*39-DRB1*16:20  Chile Santiago 0.0894920
 1,835  A*02-B*39-DRB1*16:21N  Chile Santiago 0.0577920
 1,836  A*02-B*39-DRB1*16-DQB1*02  Mexico Oaxaca Rural 0.1027485
 1,837  A*02-B*39-DRB1*16-DQB1*03  Iraq Arabs 0.3400149
 1,838  A*02-B*39-DRB1*16-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.4202238
 1,839  A*02-B*39-DRB1*16-DQB1*03:01  Ecuador Mixed Ancestry 0.34101,173
 1,840  A*02-B*39-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.3034824
 1,841  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 1,842  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 0.7955439
 1,843  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 1.3158150
 1,844  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Oaxaca Rural 2.4641485
 1,845  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.9592833
 1,846  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.8434830
 1,847  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.33501,189
 1,848  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco, Zapopan 0.5952168
 1,849  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco, Tlaquepaque 1.282139
 1,850  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 1,851  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Sonora, Hermosillo 1.515299
 1,852  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 1,853  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 1,854  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Coahuila, Saltillo 1.369972
 1,855  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 1,856  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City East 0.625079
 1,857  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City Center 1.2987152
 1,858  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.2212226
 1,859  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 1,860  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Coahuila Rural 0.6881216
 1,861  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 1,862  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.8318539
 1,863  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Tamaulipas Rural 0.7937125
 1,864  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Sinaloa, Culiacán 0.9709103
 1,865  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Mestizo 2.500099
 1,866  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 1.3369187
 1,867  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Guerrero state 1.3889144
 1,868  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 1.32771,994
 1,869  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 1.6575181
 1,870  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 1,871  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Oaxaca, Oaxaca city 3.9735151
 1,872  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 2.678655
 1,873  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.6640751
 1,874  A*02-B*39-DRB1*16-DQB1*03:03  Mexico San Luis Potosi Rural 0.574787
 1,875  A*02-B*39-DRB1*16-DQB1*03:03  Mexico Guanajuato, Leon 0.641078
 1,876  A*02-B*39-DRB1*16-DQB1*03:03  Mexico Veracruz, Cordoba 0.892956
 1,877  A*02-B*39-DRB1*16-DQB1*05  Mexico Mexico City North 0.1328751
 1,878  A*02-B*39-DRB1*16-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 1,879  A*02-B*39-DRB1*16-DQB1*05  Mexico Durango Rural 0.3058326
 1,880  A*02-B*39-DRB1*16-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 1,881  A*02-B*39-DRB1*16-DQB1*05  Mexico Aguascalientes state 1.052695
 1,882  A*02-B*39-DRB1*16-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 1,883  A*03:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06851,510
 1,884  A*03:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,885  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 1,886  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 1,887  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06741,510
 1,888  A*03:01:01:01-B*39:24:01-C*07:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,889  A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 1,890  A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 1,891  A*03:01:01-B*39:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 1,892  A*03:01:01-B*39:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 1,893  A*03:01:01-B*39:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0946519
 1,894  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 1,895  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 1,896  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DQA1*03:02:01-DQB1*03:03:02-DPA1*02:02:02-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 1,897  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 1,898  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006323,595
 1,899  A*03:01:01-B*39:01:01-C*07:04:01-DRB1*12:10-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 1,900  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.006723,595

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 1,801 to 1,900 (from 6,198) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 62  


   

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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