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 7,533) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*31-B*53-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 302  A*31:01:02-C*15:02:01-DRB1*04:06:01  China Jingpo Minority 1.0310105
 303  A*31-B*35-DRB1*08-DQB1*04  Mexico Nayarit, Tepic 1.030997
 304  A*31-B*35-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 1.02711,994
 305  A*31-B*35-DRB1*08-DQB1*04  Mexico Yucatan, Merida 1.0256192
 306  A*31-B*41-C*06-DRB1*03-DQB1*02  Sudan Khartoum 1.020098
 307  A*31-B*41-C*17-DRB1*07-DQB1*03  Sudan Khartoum 1.020098
 308  A*31-B*49-C*06-DRB1*07-DQB1*02  Sudan Khartoum 1.020098
 309  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Sonora, Hermosillo 1.010199
 310  A*31-B*51-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 1.010199
 311  A*31-B*35-DRB1*08-DQB1*04  Mexico Jalisco, Guadalajara city 1.00501,189
 312  A*31:01:02-B*35:03:01-C*04:01:01  South African Indian population 1.000050
 313  A*31:01:02-B*39:10:01-C*03:04:01  South African Mixed ancestry 1.000050
 314  A*31:01:02-B*40:01:01-DRB1*03:01:01  Portugal Center 1.000050
 315  A*31:01:02-B*40:01-C*03:04  Ireland South 1.0000250
 316  A*31:01:02-B*40:06:01-C*06:02:01  South African Indian population 1.000050
 317  A*31:01:02-B*51:01:01-DRB1*04:07:01  Portugal South 1.000049
 318  A*31:01:02-B*52:01:01-DRB1*15:02:01  Portugal Center 1.000050
 319  A*31:01:02-B*57:01:01-DRB1*04:03:01  Portugal South 1.000049
 320  A*31:01:02-B*57:01:01-DRB1*07:01:01  Portugal South 1.000049
 321  A*31:01:02-B*67:01:02-DRB1*15:01:01  Portugal South 1.000049
 322  A*31:01-B*35:01-DRB1*11:04  Armenia combined Regions 1.0000100
 323  A*31:01-B*39:01-DRB1*12:01  Sweden Northern Sami 1.0000154
 324  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 1.0000150
 325  A*31:01-B*51:01-DRB1*15:01  Armenia combined Regions 1.0000100
 326  A*31-B*07-C*15  Italy East Sicily 1.000050
 327  A*31-B*07-DRB1*04-DQA1*03:01-DQB1*03:02  Jordan Amman 1.0000146
 328  A*31-B*07-DRB1*07-DQA1*02:01-DQB1*02:02  Jordan Amman 1.0000146
 329  A*31-B*15:01-DRB1*16-DQB1*03:01  Mexico Baja California Rural 1.000050
 330  A*31-B*15-C*07  Italy East Sicily 1.000050
 331  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Baja California Rural 1.000050
 332  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.0000100
 333  A*31-B*35-DRB1*08-DQB1*04  Mexico Baja California Rural 1.000050
 334  A*31-B*39-DRB1*04-DQB1*04  Mexico Quintana Roo Rural 1.000050
 335  A*31-B*39-DRB1*15-DQB1*06  Mexico Baja California Rural 1.000050
 336  A*31-B*40:02-DRB1*08-DQB1*04  Mexico Quintana Roo Rural 1.000050
 337  A*31-B*44-DRB1*07-DQB1*02  Mexico Baja Californa, Mexicali 1.0000100
 338  A*31-B*48-C*08:01-DRB1*12:01-DQB1*03  Russia Transbaikal Territory Buryats 1.0000150
 339  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.0000100
 340  A*31-B*78-DRB1*14-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 341  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.9934150
 342  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.9934151
 343  A*31-B*51-DRB1*04-DQB1*04  Mexico Oaxaca, Oaxaca city 0.9934151
 344  A*31:01:02-B*40:06:01  China Jingpo Minority 0.9900105
 345  A*31:01:02-B*51:02:01-C*15:02:01  China Jingpo Minority 0.9900105
 346  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.9900101
 347  A*31-B*35-DRB1*12-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.9868150
 348  A*31-B*35-DRB1*14  Brazil Para Cord Blood Unit 0.9757841
 349  A*31:01:02-C*15:02:01  China Jingpo Minority 0.9710105
 350  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.9709103
 351  A*31-B*35-DRB1*08-DQB1*04  Mexico Sinaloa, Culiacán 0.9709103
 352  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Sinaloa, Culiacán 0.9709103
 353  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.9709103
 354  A*31-B*44-DRB1*11-DQB1*03:01  Mexico Sinaloa, Culiacán 0.9709103
 355  A*31-B*48-DRB1*13-DQB1*03:01  Mexico Sinaloa, Culiacán 0.9709103
 356  A*31-B*53-DRB1*13-DQB1*06  Mexico Sinaloa, Culiacán 0.9709103
 357  A*31:01:02-B*35:17:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.9677155
 358  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Nicaragua Mestizo (G) 0.9677155
 359  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 0.9677153
 360  A*31-B*35-DRB1*08-DQB1*04  Mexico Durango, Durango city 0.9677153
 361  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 0.9677153
 362  A*31:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 363  A*31:12-B*35:43-C*01:02-DRB1*04:07-DQB1*03:18  Colombia North Wiwa El Encanto 0.961552
 364  A*31:12-B*39:01-C*07:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 365  A*31:12-B*40:02-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 366  A*31:12-B*40:09-C*04:01-DRB1*14:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 367  A*31-B*27-DRB1*14-DQB1*03:01  Mexico Mexico City South 0.961552
 368  A*31-B*35-DRB1*04-DQB1*03:02  Mexico Mexico City South 0.961552
 369  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City South 0.961552
 370  A*31-B*40:05-DRB1*08-DQB1*04  Mexico Mexico City South 0.961552
 371  A*31:01-B*15:17-C*17:03-DRB1*03:01-DQA1*05:05-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 372  A*31:01-B*38:01-C*04:01-DRB1*04:05-DQA1*03:03-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 373  A*31:01-B*44:03-C*04:01-DRB1*04:05-DQA1*03:03-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 374  A*31-B*35-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 0.9524103
 375  A*31-B*35-DRB1*14-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 376  A*31-B*40:05-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.9524103
 377  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 378  A*31-B*15:02-DRB1*04-DQB1*06  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 379  A*31-B*18-DRB1*03:01-DQB1*02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 380  A*31-B*35-DRB1*14-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 381  A*31-B*35-DRB1*04:07-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 382  A*31-B*39-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 383  A*31-B*40-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 384  A*31-B*40-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 385  A*31-B*40-DRB1*14:13-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 386  A*31-B*48-DRB1*04:11-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 387  A*31-B*52-DRB1*04:04-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 388  A*31-B*35-DRB1*08-DQB1*04  Mexico Jalisco Rural 0.9386585
 389  A*31:01:02-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.9300105
 390  A*31:08-B*18:01-DRB1*11:04  Israel Georgia Jews 0.92704,471
 391  A*31:08-B*35:08-DRB1*04:03  Israel Argentina Jews 0.92604,307
 392  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 393  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 394  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.9202162
 395  A*31:08-B*35:08-DRB1*04:03  Israel USA Jews 0.91006,058
 396  A*31:01:02-B*40:02:01-C*03:05-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.9091110
 397  A*31-B*13-C*03-DRB1*15  Myanmar Chin 0.909055
 398  A*31-B*51-C*15-DRB1*04  Myanmar Chin 0.909055
 399  A*31-B*58-C*03-DRB1*13  Myanmar Kayah 0.909055
 400  A*31-B*35-DRB1*08-DQB1*04  Mexico Puebla Rural 0.8993833

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 7,533) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  


   

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