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 7,001 to 7,100 (from 8,240) records   Pages: 71 72 73 74 75 76 77 78 79 80 of 83  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 7,001  A*31-B*35-DRB1*14-DQB1*03:02  Mexico Aguascalientes state 0.526395
 7,002  A*31-B*35-DRB1*14-DQB1*03:02  Mexico Michoacan, Morelia 0.3311150
 7,003  A*31-B*35-DRB1*14-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 7,004  A*31-B*35-DRB1*14-DQB1*03:02  Mexico Coahuila, Torreon 0.2500396
 7,005  A*31-B*35-DRB1*14-DQB1*03:02  Mexico Mexico City North 0.0664751
 7,006  A*31-B*35-DRB1*14-DQB1*05  Mexico Zacatecas, Fresnillo 0.4762103
 7,007  A*31-B*35-DRB1*15  Albania pop 2 0.2300432
 7,008  A*31-B*35-DRB1*15  Brazil Para Cord Blood Unit 0.0794841
 7,009  A*31-B*35-DRB1*15  Brazil Para State 0.02515,000
 7,010  A*31-B*35-DRB1*15  China Shaanxi Province Han 0.100010,000
 7,011  A*31-B*35-DRB1*15  Iran pop 4 0.0700855
 7,012  A*31-B*35-DRB1*15-DQB1*06  Mexico Jalisco, Tlaquepaque 1.282139
 7,013  A*31-B*35-DRB1*16  Brazil South East Cord Blood 0.080011,409
 7,014  A*31-B*35-DRB1*16  Brazil Para State 0.27085,000
 7,015  A*31-B*35-DRB1*16  Brazil Para Cord Blood Unit 0.6912841
 7,016  A*31-B*35-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 7,017  A*31-B*35-DRB1*16:02-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 7,018  A*31-B*35-DRB1*16:22  Chile Santiago 0.0272920
 7,019  A*31-B*35-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 7,020  A*31-B*35-DRB1*16-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 7,021  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.20041,994
 7,022  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Guerrero state 1.3889144
 7,023  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco, Zapopan 0.8929168
 7,024  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.33501,189
 7,025  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 7,026  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 7,027  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.6640751
 7,028  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.2762181
 7,029  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 0.5814171
 7,030  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Mexico City Center 0.3247152
 7,031  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Baja Californa, Mexicali 0.5000100
 7,032  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.5545539
 7,033  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Durango Rural 0.3058326
 7,034  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 0.3409439
 7,035  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.2560585
 7,036  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 7,037  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Morelos Rural 1.666730
 7,038  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.1807830
 7,039  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Oaxaca Rural 0.8214485
 7,040  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.4796833
 7,041  A*31-B*35-DRB1*16-DQB1*03:03  Mexico Zacatecas, Fresnillo 0.4762103
 7,042  A*31-B*35-DRB1*16-DQB1*04  Mexico Zacatecas Rural 0.1859266
 7,043  A*31-B*35-DRB1*16-DQB1*05  Mexico Sinaloa, Culiacán 0.4854103
 7,044  A*31-B*37-C*02-DRB1*04-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 7,045  A*31-B*37-C*02-DRB1*10  Macedonia MBMDR - Albanian 0.3906128
 7,046  A*31-B*37-C*06-DRB1*03-DQA1*05-DQB1*02  Spain, Castilla y Leon, Northwest, 0.03091,743
 7,047  A*31-B*37-C*06-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.03481,743
 7,048  A*31-B*37-C*06-DRB1*10  Macedonia MBMDR - Macedonian Muslims 0.657976
 7,049  A*31-B*37-C*06-DRB1*10-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.02004,510
 7,050  A*31-B*37-C*06-DRB1*16  Macedonia MBMDR - Macedonian 0.03901,283
 7,051  A*31-B*37-C*07-DRB1*15-DQB1*05  Albania pop 2 0.3400432
 7,052  A*31-B*37-DRB1*04-DQB1*02  Iraq Arabs 0.3400149
 7,053  A*31-B*37-DRB1*04-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 7,054  A*31-B*37-DRB1*11  Brazil South East Cord Blood 0.014011,409
 7,055  A*31-B*37-DRB1*11  Brazil Para State 0.00885,000
 7,056  A*31-B*37-DRB1*15  Brazil South East Cord Blood 0.004011,409
 7,057  A*31-B*38  Macedonia 0.1748286
 7,058  A*31-B*38-C*06-DRB1*11-DQB1*03  Sudan Khartoum 0.510098
 7,059  A*31-B*38-C*07-DRB1*15  Myanmar Rakhine 1.042048
 7,060  A*31-B*38-C*12  Macedonia 0.1748286
 7,061  A*31-B*38-C*12-DRB1*08  Macedonia MBMDR - Macedonian 0.03901,283
 7,062  A*31-B*38-C*12-DRB1*11  Macedonia 0.1748286
 7,063  A*31-B*38-C*12-DRB1*12-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.01004,510
 7,064  A*31-B*38-C*12-DRB1*15-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 7,065  A*31-B*38-DRB1*01  Brazil South East Cord Blood 0.014011,409
 7,066  A*31-B*38-DRB1*03  Brazil South East Cord Blood 0.026011,409
 7,067  A*31-B*38-DRB1*04  Brazil South East Cord Blood 0.024011,409
 7,068  A*31-B*38-DRB1*04  Brazil Para State 0.01875,000
 7,069  A*31-B*38-DRB1*04:11-DQB1*04:02  Colombia Wayu from Guajira Peninsula 2.080048
 7,070  A*31-B*38-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 0.2762181
 7,071  A*31-B*38-DRB1*04-DQB1*04  Mexico Puebla, Puebla city 0.05011,994
 7,072  A*31-B*38-DRB1*07:01  Chile Santiago 0.0146920
 7,073  A*31-B*38-DRB1*07:34  Chile Santiago 0.0397920
 7,074  A*31-B*38-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 7,075  A*31-B*38-DRB1*11  Brazil South Ribeirao Preto 0.3000184
 7,076  A*31-B*38-DRB1*11  Macedonia 0.1748286
 7,077  A*31-B*38-DRB1*12:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 7,078  A*31-B*38-DRB1*13  Brazil South East Cord Blood 0.010011,409
 7,079  A*31-B*38-DRB1*13  Russia Moscow Pop 2 0.07002,000
 7,080  A*31-B*38-DRB1*13:01  Chile Santiago 0.0161920
 7,081  A*31-B*38-DRB1*13:117  Chile Santiago 0.0163920
 7,082  A*31-B*38-DRB1*13:190  Chile Santiago 0.0181920
 7,083  A*31-B*38-DRB1*14  Brazil Para State 0.02295,000
 7,084  A*31-B*38-DRB1*14-DQB1*05  Mexico Jalisco Rural 0.0853585
 7,085  A*31-B*38-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.0602830
 7,086  A*31-B*39-C*07  Brazil Parana Japanese 1.3000192
 7,087  A*31-B*39-C*07-DRB1*01-DQB1*05-DPB1*03  Norway ethnic Norwegians 0.01004,510
 7,088  A*31-B*39-C*07-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.01004,510
 7,089  A*31-B*39-C*07-DRB1*07-DQB1*02-DPB1*02  Norway ethnic Norwegians 0.01004,510
 7,090  A*31-B*39-C*07-DRB1*08-DQB1*04-DPB1*19  Norway ethnic Norwegians 0.01004,510
 7,091  A*31-B*39-C*07-DRB1*11  Macedonia MBMDR - Macedonian Muslims 0.657976
 7,092  A*31-B*39-C*12:03-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 7,093  A*31-B*39-C*12-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 7,094  A*31-B*39-C*12-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.02004,510
 7,095  A*31-B*39-C*12-DRB1*12  Macedonia MBMDR - Macedonian 0.11691,283
 7,096  A*31-B*39-C*12-DRB1*12-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.01004,510
 7,097  A*31-B*39-C*12-DRB1*12-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.01004,510
 7,098  A*31-B*39-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 7,099  A*31-B*39-C*12-DRB1*15  Macedonia MBMDR - Macedonian 0.03901,283
 7,100  A*31-B*39-DRB1*01  Brazil Para State 0.01405,000

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 7,001 to 7,100 (from 8,240) records   Pages: 71 72 73 74 75 76 77 78 79 80 of 83  


   

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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