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 301 to 400 (from 11,158) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 112  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 3.4759187
 302  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 3.4404218
 303  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 3.424772
 304  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 3.424772
 305  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Colima Rural 3.409143
 306  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Colima Rural 3.409143
 307  DRB1*04:03:01-DQB1*03:02/03:07-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 308  DRB1*04:03-DQA1*03-DQB1*03:02  Turkey pop 1 3.4000250
 309  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 1 3.4000324
 310  DRB1*04:06-DQB1*03:02  Japan Central 3.4000371
 311  DRB1*04:06-DQB1*03:02-DPB1*02:01  South Korea pop 1 3.4000324
 312  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Yucatan Rural 3.3582132
 313  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 3.333330
 314  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 3.333375
 315  A*02-B*40:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 3.333330
 316  A*02-B*48-DRB1*04:04-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 3.333360
 317  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 318  A*24-B*15:15-DRB1*04-DQB1*03:02  Mexico Veracruz, Poza Rica 3.333345
 319  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 320  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 321  A*24-B*51-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 3.333360
 322  A*24-B*55-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 323  A*31-B*27-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 3.333330
 324  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 325  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 326  A*68-B*39-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 3.333330
 327  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 328  A*02-B*35-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 3.32481,173
 329  A*24-B*35-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 3.3058121
 330  A*02-B*44-DRB1*04:03-DQB1*03:02  Spain Pas Valley 3.300088
 331  A*24-B*39-DRB1*04:07-DQA1*03-DQB1*03:02  Mexico Mazatecan 3.300089
 332  DRB1*04:03-DQA1*03:01:01-DQB1*03:02  South Korea pop 5 3.3000467
 333  DRB1*04:03-DQA1*03:01-DQB1*03:02  Italy Sardinia Sassari 3.300091
 334  DRB1*04:03-DQA1*03-DQB1*03:02  Algeria pop 2 3.3000106
 335  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Sassari 3.300091
 336  DRB1*04:05-DQA1*03:01-DQB1*03:02  Italy Sardinia Tempio 3.300091
 337  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Puebla Rural 3.2974833
 338  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 3.278761
 339  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City North 3.2537751
 340  DRB1*04:03-DQB1*03:02  USA Asian pop 2 3.22201,772
 341  A*68:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 3.2000105
 342  DRB1*04:06-DQA1*03:01-DQB1*03:02  Japan pop 2 3.2000916
 343  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 3.191547
 344  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Campeche Rural 3.191547
 345  A*68:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 3.1800105
 346  A*24-B*35-DRB1*04:07-DQB1*03:02  Bolivia La Paz Aymaras 3.176087
 347  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 3.1690142
 348  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 3.1690142
 349  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 3.1690142
 350  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 3.157995
 351  A*02-B*35-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 3.1513238
 352  A*24-B*15-DRB1*04:11-DQB1*03:02  Colombia Wayu from Guajira Peninsula 3.130048
 353  A*24-B*35-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 3.130048
 354  A*24-B*39-DRB1*16:02-DQB1*03:02  Colombia Wayu from Guajira Peninsula 3.130048
 355  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 3.125048
 356  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 3.125064
 357  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 3.125064
 358  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City North 3.1208751
 359  DRB1*04:02-DRB4*01-DQB1*03:02  Macedonia pop 2 3.100080
 360  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 3.092897
 361  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Hidalgo Rural 3.086481
 362  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 3.048882
 363  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora Rural 3.0457197
 364  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 3.030399
 365  A*68-B*40-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 3.020053
 366  A*01-B*44-DRB1*04-DQB1*03:02  Mexico Baja California Rural 3.000050
 367  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Baja California Rural 3.000050
 368  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Quintana Roo Rural 3.000050
 369  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Quintana Roo Rural 3.000050
 370  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Baja California Rural 3.000050
 371  DRB1*04:01-DQB1*03:02  Tunisia pop 2 3.0000111
 372  DRB1*04:02-DQB1*03:02  Tunisia 3.0000100
 373  DRB1*04:02-DQB1*03:02  Israel Libyan Jews 3.0000119
 374  DRB1*04:03-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Oromo 3.000083
 375  DRB1*04:03-DQA1*03:01-DQB1*03:02  Russia Northwest Slavic 3.0000200
 376  DRB1*04:03-DQB1*03:02  USA Alaska Yupik 3.0000252
 377  DRB1*04:03-DQB1*03:02  Japan Hokkaido Ainu 3.000050
 378  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 2 3.0000207
 379  A*24:02-B*35:20-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 380  A*24:02-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 381  A*31:01-B*40:08-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 382  A*68:01-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 383  A*24:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 2.976284
 384  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 2.9605150
 385  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 2.941234
 386  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Mexico City West 2.941233
 387  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City West 2.941233
 388  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 2.941234
 389  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 2.941234
 390  DRB1*04:02-DQB1*03:02  Georgia Caucasus Tbilisi 2.9412119
 391  A*02-B*35-DRB1*04-DQB1*03:02  Mexico Mexico City Center 2.9221152
 392  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 2.9032153
 393  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 2.9032153
 394  A*02-B*35-DRB1*04:03-DQB1*03:02  Bolivia Quechua 2.900069
 395  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Mexico City Mestizo 2.9000121
 396  A*68-B*40-DRB1*04:07-DQB1*03:02  Mexico Huasteca Region Teenek 2.900055
 397  DRB1*04:01-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Lower Yenisey Ket 2.900017
 398  DRB1*04:02-DQA1*03:01-DQB1*03:02  Slovenia pop 2 2.9000140
 399  DRB1*04:02-DQB1*03:02  Tunisia Gabes Arab 2.900096
 400  DRB1*04:03-DQA1*03:01-DQB1*03:02  Italy Sardinia Cagliari 2.900087

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 301 to 400 (from 11,158) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 112  


   

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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