Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 5,937) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 60  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Baja California, Tijuana 2.000025
 302  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Quintana Roo Rural 2.000050
 303  A*02-B*48-DRB1*08-DQB1*04  Mexico Baja California Rural 2.000050
 304  A*02-B*51-DRB1*08-DQB1*04  Mexico Baja Californa, Mexicali 2.0000100
 305  A*24-B*39-DRB1*08-DQB1*04  Mexico Baja California, Tijuana 2.000025
 306  A*24-B*48-DRB1*08-DQB1*04  Mexico Baja California, Tijuana 2.000025
 307  A*24-B*51-DRB1*03:02-DQB1*04  Mexico Baja California Rural 2.000050
 308  A*68-B*39-DRB1*08-DQB1*04  Mexico Quintana Roo Rural 2.000050
 309  DRB1*04:05:01-DQB1*04:01-DPB1*05:01  China Yunnan Province Bai 2.0000128
 310  DRB1*04:10-DQB1*04:02  Japan Hokkaido Ainu 2.000050
 311  DRB1*08:01-DQA1*04:01-DQB1*04:02  Russia Siberia Kushun Buryat 2.000025
 312  DRB1*08-DQA1*04:01-DQB1*04:01/04:02  Ukraine Lvov 2.0000102
 313  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 1.99003,078
 314  A*02-B*39-DRB1*08-DQB1*04  Mexico Oaxaca, Oaxaca city 1.9868151
 315  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 1.9697330
 316  A*24-B*40:02-DRB1*08-DQB1*04  Mexico Durango, Durango city 1.9355153
 317  A*02-B*15:01-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 1.9337181
 318  A*02-B*51-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 1.9337181
 319  A*02-B*15:01-DRB1*08-DQB1*04  Mexico Guanajuato, Leon 1.923178
 320  A*68-B*48-DRB1*08-DQB1*04  Mexico Mexico City South 1.923152
 321  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02  United Arab Emirates Abu Dhabi 1.920052
 322  DQA1*03-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Kazakh 1.920052
 323  DQA1*04:01-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Kazakh 1.920052
 324  A*30-B*41-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 1.9048103
 325  A*68-B*39-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 1.9048103
 326  DRB1*04:06-DQA1*03-DQB1*04:02  Algeria pop 2 1.9000106
 327  DRB1*08-DQA1*04:01-DQB1*04:02  Italy pop 2 1.900053
 328  A*68-B*40-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 329  A*02-B*35-DRB1*04-DQB1*04  Mexico Chiapas, Tuxtla Gutierrez 1.886852
 330  A*02-B*35-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 1.8811824
 331  A*02-B*39-DRB1*04-DQB1*04  Mexico Mexico City East 1.875079
 332  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City East 1.875079
 333  A*68-B*15:15-DRB1*08-DQB1*04  Mexico Mexico City East 1.875079
 334  A*68-B*39-DRB1*08-DQB1*04  Mexico Mexico City East 1.875079
 335  A*02-B*52-DRB1*08-DQB1*04  Mexico Veracruz, Xalapa 1.8717187
 336  A*02-B*35-DRB1*08-DQB1*04  Mexico Yucatan Rural 1.8657132
 337  DRB1*03:02-DQB1*04:02-DPB1*01:01  Gambia pop 3 1.8628939
 338  A*02-B*15:15-DRB1*08-DQB1*04  Mexico Hidalgo Rural 1.851981
 339  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Hidalgo Rural 1.851981
 340  A*31-B*35-DRB1*08-DQB1*04  Mexico Hidalgo Rural 1.851981
 341  A*68-B*48-DRB1*08-DQB1*04  Mexico Chihuahua, Ciudad Juarez 1.8519106
 342  A*68-B*48-DRB1*08-DQB1*04  Mexico Hidalgo Rural 1.851981
 343  A*68-B*39-DRB1*08-DQB1*04  Mexico Guanajuato Rural 1.8405162
 344  A*02-B*15:01-DRB1*08-DQB1*04  Mexico Coahuila Rural 1.8349216
 345  A*02-B*51-DRB1*08-DQB1*04  Mexico Coahuila Rural 1.8349216
 346  A*24-B*35-DRB1*08-DQB1*04  Mexico Morelos, Cuernavaca 1.829382
 347  DRB1*04:04-DQA1*03:01/03:02-DQB1*04:02  Ethiopia Oromo 1.800083
 348  DRB1*04:05-DQB1*04:01  Vietnam HoaBinh Muong 1.800083
 349  DRB1*04:10-DQB1*04:02-DPB1*03:01:01  China Lijiang Naxi 1.8000100
 350  DRB1*09:01:02-DQB1*04:01  China Yunnan Province Lahu 1.800070
 351  A*02-B*35-DRB1*08-DQB1*04  Mexico Yucatan, Merida 1.7949192
 352  A*02:01-B*48:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 1.7900105
 353  A*02-B*35-DRB1*08-DQB1*04  Mexico Zacatecas, Zacatecas city 1.785784
 354  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Zacatecas, Zacatecas city 1.785784
 355  A*24-B*15:01-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 1.785756
 356  A*24-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Coatzacoalcos 1.785755
 357  A*31-B*35-DRB1*08-DQB1*04  Mexico Zacatecas, Zacatecas city 1.785784
 358  A*68-B*35-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 1.785756
 359  A*68-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 1.785756
 360  A*68-B*40:02-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 1.785756
 361  A*02-B*48-DRB1*08-DQB1*04  Mexico Nuevo Leon, Monterrey city 1.7699226
 362  A*31-B*35-DRB1*08-DQB1*04  Mexico Nuevo Leon, Monterrey city 1.7699226
 363  A*24-B*35-DRB1*08-DQB1*04  Mexico Tabasco Rural 1.7606142
 364  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.7483143
 365  A*68-B*35-DRB1*08-DQB1*04  Mexico Veracruz, Veracruz city 1.7442171
 366  A*68-B*39-DRB1*08-DQB1*04  Mexico Puebla Rural 1.7386833
 367  A*24-B*35-DRB1*08-DQB1*04  Mexico Guerrero state 1.7361144
 368  A*02-B*40:02-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 1.724187
 369  A*02-B*51-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 1.724187
 370  A*24-B*35-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 1.724187
 371  A*68-B*35-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 1.724187
 372  A*24-B*40-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.724087
 373  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 374  B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 375  A*11:01:01-B*40-C*12:03:01-DRB1*04:05:01-DQB1*04:01-DPB1*05:01  China Yunnan Province Nu 1.7000107
 376  A*24:02-B*51:01-DRB1*08:01-DQB1*04:01  Iran Kurd pop 2 1.700060
 377  DQA1*03-DQB1*04:02  Japan Fukuoka 1.700086
 378  DQA1*04:01-DQB1*04:02  India Bombay 1.700059
 379  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 1 1.7000324
 380  DRB1*04:10-DQA1*03:01-DQB1*04:02  Japan pop 2 1.7000916
 381  DRB1*08:01/08:03-DQA1*04:01-DQB1*04:02  England pop 6 1.7000177
 382  DRB1*08:01-DQA1*04:01-DQB1*04:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 383  DRB1*08:02-DQA1*05:01-DQB1*04:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 384  DRB1*08:02-DQB1*04:01  Samoa 1.700029
 385  DRB1*08:04-DQB1*04:02  Sweden Northern Sami 1.7000154
 386  A*68:01:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 1.6800105
 387  A*68:02-B*57:03-C*07:01-DRB1*03:02-DQB1*04:02  USA NMDP Caribean Indian 1.668614,339
 388  A*02-B*15:30-DRB1*08-DQB1*04  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 389  A*02-B*15-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 390  A*02-B*35-DRB1*08-DQB1*04  Mexico Morelos Rural 1.666730
 391  A*02-B*39-DRB1*08-DQB1*04  Mexico Jalisco, Tlajomulco 1.666730
 392  A*02-B*39-DRB1*14:06-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 393  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Jalisco, Tlajomulco 1.666730
 394  A*02-B*52-DRB1*08-DQB1*04  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 395  A*24:02-B*51:01-DRB1*04:01-DQB1*04:01  Iran Saqqez-Baneh Kurds 1.666760
 396  A*24-B*07-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 397  A*24-B*15:01-DRB1*08-DQB1*04  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 398  A*24-B*35-DRB1*08-DQB1*04  Mexico Jalisco, Tlajomulco 1.666730
 399  A*24-B*39-DRB1*08-DQB1*04  Mexico Morelos Rural 1.666730
 400  A*24-B*40-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760

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 5,937) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 60  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional