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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 2,001 to 2,100 (from 2,297) records   Pages: 21 22 23 of 23  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 2,001  A*68:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 2,002  A*68:01-B*48:01-C*08:01-DRB1*14:15-DQB1*05:03  India West UCBB 0.00865,829
 2,003  A*68:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 2,004  A*68:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.01201,999
 2,005  A*68:01-B*48:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  England North West 0.2000298
 2,006  A*68:01-B*48:01-C*08:03-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 2,007  A*68:01-B*48:01-C*08:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 2,008  A*68:01-B*48:01-C*08:03-DRB1*04:11-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 2,009  A*68:01-B*48:01-C*08:03-DRB1*09:01  Japan pop 16 0.005018,604
 2,010  A*68:01-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.004211,446
 2,011  A*68:01-B*48:01-C*08:03-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 2,012  A*68:01-B*48:01-C*08:03-DRB1*15:140-DQB1*05:02  India West UCBB 0.00865,829
 2,013  A*68:01-B*48:01-DRB1*04:05-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 2,014  A*68:01-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 2,015  A*68:01-B*48:01-DRB1*04:11-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 2,016  A*68:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 2,017  A*68:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 2,018  A*68:01-B*48:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 2,019  A*68:01-B*48:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 2,020  A*68:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India West UCBB 0.00915,829
 2,021  A*68:01-B*48:04-C*07:02-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.1689296
 2,022  A*68:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.2492296
 2,023  A*68:01-B*48:04-C*08:01-DRB1*15:04-DQB1*05:02  India Northeast UCBB 0.1689296
 2,024  A*68:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 2,025  A*68:02-B*48:01-DRB1*07:01  Israel USSR Jews 0.002545,681
 2,026  A*68:02-B*48:01-DRB1*09:01  Israel Argentina Jews 0.01194,307
 2,027  A*68:03:01-B*48:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 2,028  A*68:03-B*48:01-C*08:03-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 2,029  A*68:03-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 2,030  A*68-B*48-C*01-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 2,031  A*68-B*48-C*08-DRB1*16-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 2,032  A*68-B*48-DRB1*03  Brazil Para State 0.01005,000
 2,033  A*68-B*48-DRB1*04  Brazil South East Cord Blood 0.005011,409
 2,034  A*68-B*48-DRB1*04:01  Colombia Barranquilla 0.2700188
 2,035  A*68-B*48-DRB1*04:04  USA NMDP Hispanic 0.4000449,844
 2,036  A*68-B*48-DRB1*04:07  Chile Santiago 0.2236920
 2,037  A*68-B*48-DRB1*04:92  Chile Santiago 0.1098920
 2,038  A*68-B*48-DRB1*04-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 2,039  A*68-B*48-DRB1*04-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 2,040  A*68-B*48-DRB1*04-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 2,041  A*68-B*48-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 2,042  A*68-B*48-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.0607824
 2,043  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.47601,994
 2,044  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.6944144
 2,045  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.3311151
 2,046  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 2,047  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 0.609882
 2,048  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 1.5385192
 2,049  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 2,050  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.6494152
 2,051  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 2,052  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.7304751
 2,053  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 1.3812181
 2,054  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City South 0.961552
 2,055  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 2.222245
 2,056  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 0.892955
 2,057  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 1.785756
 2,058  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.5814171
 2,059  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 6.557461
 2,060  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 1.7699226
 2,061  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 1.2605119
 2,062  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 1.3889106
 2,063  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 1.369972
 2,064  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.2903153
 2,065  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.546497
 2,066  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.4762103
 2,067  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 1.2500396
 2,068  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 1.34001,189
 2,069  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 0.5952168
 2,070  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlaquepaque 2.564139
 2,071  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.6623150
 2,072  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 4.545522
 2,073  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Leon 1.282178
 2,074  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.9709103
 2,075  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 1.333375
 2,076  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 0.5000100
 2,077  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.4587326
 2,078  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 1.3761216
 2,079  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Baja California Rural 1.000050
 2,080  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.5076197
 2,081  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 0.5464183
 2,082  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.8368236
 2,083  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 1.1092585
 2,084  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 1.2894348
 2,085  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.5576266
 2,086  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 4.687564
 2,087  A*68-B*48-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 0.574787
 2,088  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 2.3810125
 2,089  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.7955439
 2,090  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.3597833
 2,091  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 1.9737150
 2,092  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.6470539
 2,093  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.7831830
 2,094  A*68-B*48-DRB1*04-DQB1*04  Mexico Quintana Roo, Cancun 2.083348
 2,095  A*68-B*48-DRB1*04-DQB1*04  Mexico Tabasco, Villahermosa 1.219582
 2,096  A*68-B*48-DRB1*04-DQB1*04  Mexico Guerrero state 0.3472144
 2,097  A*68-B*48-DRB1*07:01  Chile Santiago 0.0543920
 2,098  A*68-B*48-DRB1*08:02-DQB1*04:02  Bolivia Quechua 1.450069
 2,099  A*68-B*48-DRB1*08-DQB1*03:02  Mexico Puebla Rural 0.0600833
 2,100  A*68-B*48-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.2427824

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 2,001 to 2,100 (from 2,297) records   Pages: 21 22 23 of 23  


   

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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