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 12,573) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 126  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68-B*49-DRB1*10-DQB1*05  Mexico Colima, Colima city 1.639361
 302  A*68-B*53-DRB1*12-DQB1*03:01  Mexico Colima, Colima city 1.639361
 303  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 1.6300215
 304  A*68:01-B*18:01-C*02:02-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 1.6130124
 305  A*68:01:01-B*35:01:01-DRB1*04:05:01  Cape Verde Northwestern Islands 1.600062
 306  A*68:01-B*45:01  Brazil Belo Horizonte Caucasian 1.600095
 307  A*68:02-B*53:01  Kenya Luo 1.6000265
 308  A*68:03-B*39:05-C*07:02-DRB1*04:07  USA Mexican American Mestizo 1.6000553
 309  A*68-B*35-DRB1*08-DQB1*04  Mexico Nuevo Leon Rural 1.5909439
 310  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 1.5909439
 311  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 1.5873125
 312  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:03:01  Nicaragua Mestizo (G) 1.5852155
 313  A*68:03:01-B*35:43:01-C*01:02:01-DRB1*04:07  Nicaragua Mestizo (G) 1.5852155
 314  A*68-C*04  Macedonia 1.5734286
 315  A*68:02-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 316  A*68-B*35-DRB1*08-DQB1*04  Guatemala, Guatemala City Mixed Ancestry 1.5700127
 317  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 318  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 1.562564
 319  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.546497
 320  A*68:01-B*35:20-DRB1*04:07-DQB1*03:02  Chile Mapuche 1.540066
 321  A*68:01-B*39:01-DRB1*14:02-DQB1*03:01  Chile Mapuche 1.540066
 322  A*68:01-B*39:09-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 323  A*68:01-B*39:09-DRB1*14:02-DQB1*03:01  Chile Mapuche 1.540066
 324  A*68:01-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 325  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 1.5400485
 326  A*68-B*39-DRB1*08-DQB1*04  Mexico Yucatan, Merida 1.5385192
 327  A*68-B*40:02-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 1.5385192
 328  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 1.5385192
 329  A*68-B*14:02-DRB1*01-DQB1*05  Mexico Guanajuato Rural 1.5337162
 330  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Durango Rural 1.5291326
 331  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora Rural 1.5228197
 332  A*68:01-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 1.5152330
 333  A*68-B*14:02-DRB1*01-DQB1*05  Mexico Sonora, Hermosillo 1.515299
 334  A*68:02-B*07:02-C*07:02  Uganda Kampala 1.5000161
 335  A*68:02-B*15:10  Kenya Nandi 1.5000240
 336  A*68:02-B*15:10-C*03:04  Kenya Nandi 1.5000240
 337  A*68:02-B*35:01:01  Mexico Guadalajara Mestizo pop 2 1.5000103
 338  A*68:02-B*35:02  Mexico Guadalajara Mestizo pop 2 1.5000103
 339  A*68:02-B*53:01  Kenya Nandi 1.5000240
 340  A*68:02-B*53:01-DRB1*13:03  Sao Tome Island Forro 1.500066
 341  A*68:03:02-B*35:01:01  Mexico Guadalajara Mestizo pop 2 1.5000103
 342  A*68-B*39-DRB1*16  Brazil Parana Oriental 1.500033
 343  A*68-B*51-DRB1*13  Brazil Parana Oriental 1.500033
 344  A*68-B*51-DRB1*14  Brazil Parana Oriental 1.500033
 345  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 346  A*68:03-B*35:43-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 1.492567
 347  A*68-B*40:02-DRB1*14-DQB1*03:01  Mexico Yucatan Rural 1.4925132
 348  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 1.4870266
 349  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 350  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Mexico City West 1.470633
 351  A*68-B*35-DRB1*07-DQB1*03:03  Mexico Mexico City West 1.470633
 352  A*68-B*35-DRB1*14-DQB1*03:01  Mexico Mexico City West 1.470633
 353  A*68-B*39-DRB1*08-DQB1*04  Mexico Mexico City West 1.470633
 354  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Campeche, Campeche city 1.470634
 355  A*68-B*40:01-DRB1*08-DQB1*04  Mexico Mexico City West 1.470633
 356  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 357  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 358  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 1.4563103
 359  A*68-B*48-DRB1*08:02-DQB1*04:02  Bolivia Quechua 1.450069
 360  A*68-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Tonala 1.428635
 361  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 362  A*68-B*35-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 363  A*68-B*39-DRB1*08-DQB1*04  Mexico Jalisco, Tonala 1.428635
 364  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 365  A*68-B*51-DRB1*11-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 366  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Tabasco Rural 1.4085142
 367  A*68:01-B*51:01  Cuba Caucasian 1.400070
 368  A*68:01-B*58:02  South Africa Natal Zulu 1.4000100
 369  A*68:02-B*18:01  Cuba Caucasian 1.400070
 370  A*68:02-B*53:01  USA African American 1.4000252
 371  A*68:03-B*39:05  Cuba Caucasian 1.400070
 372  A*68-B*18-DRB1*11  Albania pop 2 1.4000432
 373  A*68-C*07  Macedonia 1.3986286
 374  A*68-DRB1*13  Macedonia 1.3986286
 375  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 376  A*68:02-B*15:16-C*14:02-DRB1*01:02  Brazil Vale do Ribeira Quilombos 1.3889144
 377  A*68-B*35-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 378  A*68-B*39-C*07-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 379  A*68-B*39-C*07-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 380  A*68-B*39-C*07-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 381  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Guerrero state 1.3889144
 382  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 1.3889106
 383  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 1.3812181
 384  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 1.3812181
 385  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 1.3761216
 386  A*68-B*35-DRB1*08-DQB1*04  Mexico Coahuila, Saltillo 1.369972
 387  A*68-B*40:02-DRB1*08-DQB1*04  Mexico Coahuila, Saltillo 1.369972
 388  A*68-B*40:02-DRB1*14-DQB1*03:01  Mexico Coahuila, Saltillo 1.369972
 389  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 1.369972
 390  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.3661183
 391  A*68:02-B*14:02-DRB1*01:02  Israel USSR Jews 1.360045,681
 392  A*68:02-B*57:03-C*07:01-DRB1*03:02-DRB3*03:01-DQB1*04:02  USA NMDP Caribean Hispanic 1.3575115,374
 393  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.3575221
 394  A*68:02-B*53:01  USA African American pop 4 1.35102,411
 395  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 1.34001,189
 396  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 1.333375
 397  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 1.333375
 398  A*68-B*53-DRB1*01-DQB1*05  Mexico Baja California, La Paz 1.333375
 399  A*68-B*08-C*07-DRB1*03  Macedonia MBMDR - Macedonian Muslims 1.315876
 400  A*68-B*35-DRB1*16-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 1.3158150

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 12,573) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 126  


   

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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