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 301 to 400 (from 544) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.37401,999
 302  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.3717266
 303  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 0.3521142
 304  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 0.3521142
 305  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 306  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 307  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 0.3497143
 308  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 309  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.3472144
 310  A*26-B*40:02-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.3472144
 311  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.3472144
 312  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.3409439
 313  A*02:06-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.33471,376
 314  A*02:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.3333150
 315  A*24:02-B*40:02-C*03:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.3333150
 316  A*68:01-B*40:02-C*03:02-DRB1*04:10-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.3333150
 317  A*01-B*40:02-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.3311150
 318  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.3311150
 319  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.3289150
 320  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.3289150
 321  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 322  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 323  A*02-B*40:02-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.3067162
 324  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA NMDP Black South or Central American 0.30624,889
 325  A*02:01-B*40:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 326  A*24:02-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 327  A*68:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 328  A*24:14-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.30251,463
 329  A*30-B*40:02-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 330  A*68-B*40:02-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 331  A*68:01-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.27981,376
 332  A*01:01:01:01-B*40:02:01-C*06:02:01:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 333  A*68:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 334  A*26:01-B*40:02-C*03:04-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 335  A*03-B*40:02-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 0.2564192
 336  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.2560585
 337  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.2538197
 338  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.2538197
 339  A*31-B*40:02-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.25131,189
 340  A*02:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 341  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 342  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 343  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 344  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 345  A*31:01-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 346  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 347  A*31:01-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*105:01  Mexico Chiapas Lacandon Mayans 0.2294218
 348  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 349  A*31:01-B*40:02-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 350  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 351  A*68:05-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 352  A*68:05-B*40:02-C*15:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 353  A*68:05-B*40:02-C*15:02-DRB1*04:51-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 354  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 355  A*24-B*40:02-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.2212226
 356  A*02:01-B*40:02-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 357  A*02:01-B*40:02-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 358  A*02:06-B*40:02-C*03:05-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 359  A*24:02-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.2165339
 360  A*24:02-B*40:02-C*03:04-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.2165339
 361  A*24:02-B*40:02-C*03:05-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*05:01  Nicaragua Managua 0.2165339
 362  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*14:01  Nicaragua Managua 0.2165339
 363  A*31:01-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 364  A*31:01-B*40:02-C*03:06-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*05:01  Nicaragua Managua 0.2165339
 365  A*31:01-B*40:02-C*03:06-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 366  A*31:02-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 367  A*68:01-B*40:02-C*03:05-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 368  A*68:01-B*40:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 369  A*68:01-B*40:02-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 370  A*68:03-B*40:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 371  A*68:03-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 372  A*68:03-B*40:02-C*03:05-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 373  A*25-B*40:02-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.2101238
 374  A*68-B*40:02-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.2101238
 375  A*02:22-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.20101,463
 376  A*24:03:01-B*40:02:01-C*14:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 377  A*31:01:02-B*40:02:01-C*15:02:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 378  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA NMDP Caribean Indian 0.190414,339
 379  A*02:11-B*40:02-C*04:01-DRB1*04:01-DQB1*03:02-DPB1*04:01  Panama 0.1900462
 380  A*02:13-B*40:02-C*01:02-DRB1*04:05-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 381  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*105:01  Panama 0.1900462
 382  A*24:02-B*40:02-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*03:01  Panama 0.1900462
 383  A*24:25-B*40:02-C*04:01-DRB1*04:10-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 384  A*68:01-B*40:02-C*12:02-DRB1*04:07-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 385  A*68:03-B*40:02-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 386  A*01-B*40:02-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.1859266
 387  A*03-B*40:02-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.1859266
 388  A*24:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.18301,999
 389  A*68:01-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.17991,463
 390  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.17671,463
 391  A*02:01-B*40:02-DRB1*04:01-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 392  A*02:01-B*40:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 393  A*24:02-B*40:02-DRB1*04:05-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 394  A*26:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 395  A*30:01-B*40:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 396  A*31:01-B*40:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 397  A*31:01-B*40:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 398  A*68:01-B*40:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 399  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  USA NMDP American Indian South or Central America 0.14915,926
 400  A*30-B*40:02-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.1433348

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 544) records   Pages: 1 2 3 4 5 6 of 6  


   

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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