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 1,915) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 20  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*11:01-B*56:03  USA Asian pop 2 0.11301,772
 302  A*26:01-B*56:01  USA Asian pop 2 0.11301,772
 303  B*56:01-C*07:02  USA Asian pop 2 0.11301,772
 304  A*02:01-B*56:01-C*01:02-DRB1*14:01-DQB1*05:03-DPB1*03:01  Russia Karelia 0.11291,075
 305  A*02:01-B*56:01-C*01:02-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.11271,075
 306  A*03:01-B*56:01-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.10901,374
 307  A*68-B*56-DRB1*16:01  Chile Santiago 0.1087920
 308  A*02:01-B*56:01-C*01:02-DRB1*08:01  Germany DKMS - France minority 0.10701,406
 309  A*02:06-B*56:01  USA Asian pop 2 0.10701,772
 310  A*11:01-B*56:01-C*01:02-DRB1*01:01  Germany DKMS - France minority 0.10601,406
 311  A*24:07-B*56:02-C*01:02-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 312  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.104023,595
 313  A*03-B*56-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.10021,994
 314  A*03:01-B*56:01-C*01:02-DRB1*01:01  Italy pop 5 0.1000975
 315  A*03-B*56-C*01-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.10004,510
 316  A*03-B*56-DRB1*04  Russia Moscow Pop 2 0.10002,000
 317  A*11:01-B*56:01-C*01:02-DRB1*01:01  Italy pop 5 0.1000975
 318  A*25:01-B*56:01-C*07:18-DRB1*08:01  Italy pop 5 0.1000975
 319  A*31:01-B*56:01-C*01:02-DRB1*01:01  Italy pop 5 0.1000975
 320  A*68:01-B*56:01-C*01:02-DRB1*08:01  Italy pop 5 0.1000975
 321  B*56:01-DRB1*01:01  Italy pop 5 0.1000975
 322  A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09981,510
 323  A*11:01-B*56:03-C*01:02-DRB1*12:01  Japan pop 16 0.099018,604
 324  A*03:01-B*56:01-C*01:02-DRB1*04:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 325  A*29:02-B*56:01-C*01:02-DRB1*08:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 326  A*02:01:01-B*56:01:01-C*01:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 327  A*32:01:01-B*56:01:01-C*01:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 328  A*02:01-B*56:01-C*01:02-DRB1*08:01  Germany DKMS - Greece minority 0.09401,894
 329  A*11:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.09401,028
 330  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.093623,595
 331  A*11:01-B*56:01-C*01:02-DRB1*13:12  Hong Kong Chinese BMDR 0.09287,595
 332  A*02-B*56-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 333  A*26-B*56-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 334  A*68-B*56-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.0924539
 335  A*03:01-B*56:01  USA Asian pop 2 0.09201,772
 336  A*11:01-B*56:01-C*01:02  Italy pop 5 0.0900975
 337  A*23:01-B*56:01-C*01:02  Italy pop 5 0.0900975
 338  A*31:01-B*56:01-C*01:02  Italy pop 5 0.0900975
 339  A*68:01-B*56:01-C*01:02  Italy pop 5 0.0900975
 340  A*02:03-B*56:04-C*01:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.08901,772
 341  A*29:01-B*56:01-DRB1*11:04  Israel Argentina Jews 0.08824,307
 342  A*26:01-B*56:01-C*01:02-DRB1*03:01  Germany DKMS - Austria minority 0.08801,698
 343  A*26:01-B*56:01-C*01:02-DRB1*08:01  Poland DKMS 0.087220,653
 344  A*03:01-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.08601,159
 345  A*02-B*56-DRB1*08-DQB1*04  Mexico Jalisco Rural 0.0853585
 346  A*24:02-B*56:01-DRB1*13:12  Hong Kong Chinese cord blood registry 0.08523,892
 347  A*03:01-B*56:01-C*01:02-DRB1*04:02  Germany DKMS - Portugal minority 0.08501,176
 348  A*02-B*56-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 349  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India UCBB_Central Indian HLA 0.08334,204
 350  A*03:01-B*56:01  USA African American pop 4 0.08302,411
 351  A*32:01-B*56:01-C*01:02-DRB1*13:01  Germany DKMS - Croatia minority 0.08202,057
 352  A*68:01-B*56:01-C*01:02-DRB1*08:01  Germany DKMS - Romania minority 0.08101,234
 353  A*11:01-B*56:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.08032,492
 354  A*24:02-B*56:04-C*01:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.08032,492
 355  A*02-B*56-DRB1*15  Russia Moscow Pop 2 0.08002,000
 356  B*56:01-DRB1*08:01  Italy pop 5 0.0800975
 357  A*02-B*56-DRB1*01  Brazil Para State 0.07975,000
 358  A*02:01-B*56:01-C*07:02-DRB1*14:01  Germany DKMS - China minority 0.07801,282
 359  A*02-B*56-DRB1*04:08-DQA1*03:01-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 360  A*02-B*56-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 361  A*03-B*56-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 362  A*24-B*56-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 363  A*29-B*56-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 364  A*24-B*56-C*01-DRB1*15  Macedonia MBMDR - Macedonian 0.07791,283
 365  A*01:01-B*56:01-DRB1*01:02  Israel Argentina Jews 0.07564,307
 366  A*24-B*56-C*01-DRB1*04  Macedonia MBMDR - Macedonian 0.07441,283
 367  A*11:01-B*56:01-C*01:02-DRB1*14:01  Germany DKMS - Netherlands minority 0.07301,374
 368  A*26:01-B*56:01-C*01:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.07301,374
 369  A*30:01-B*56:01-C*01:02-DRB1*01:01  Germany DKMS - France minority 0.07101,406
 370  A*02:03:01-B*56:01:01-C*01:02:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07035,266
 371  A*02:01-B*56:01-C*01:02-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 372  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 373  A*02:01-B*56:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*17:01  Sri Lanka Colombo 0.0700714
 374  A*02:11-B*56:01-C*01:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 375  A*11:01-B*56:01-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 376  A*11:01-B*56:01-C*04:10-DRB1*08:03-DQA1*04:01-DQB1*04:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 377  A*24:02-B*56:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 378  A*24:02-B*56:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 379  A*24:07-B*56:01-C*08:01-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 380  A*24-B*56-DRB1*15  Iran pop 4 0.0700855
 381  A*26:01-B*56:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 382  A*26:01-B*56:05-C*01:02-DRB1*14:02-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 383  A*26-B*56-DRB1*14  Iran pop 4 0.0700855
 384  A*31:01-B*56:01-C*01:02-DRB1*14:04-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 385  A*33:03-B*56:01-C*04:01-DRB1*07:01-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 386  A*33:03-B*56:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 387  A*33:03-B*56:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 388  A*68:01-B*56:01-C*01:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 389  A*68:01-B*56:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 390  A*68-B*56-DRB1*07  Iran pop 4 0.0700855
 391  A*68-B*56-DRB1*16  Iran pop 4 0.0700855
 392  A*02-B*56-DRB1*01  Italy Lombardy 0.0700674
 393  A*02-B*56-DRB1*04  Italy Lombardy 0.0700674
 394  A*02-B*56-DRB1*07  Italy Lombardy 0.0700674
 395  A*02-B*56-DRB1*10  Italy Lombardy 0.0700674
 396  A*02-B*56-DRB1*13  Italy Lombardy 0.0700674
 397  A*02-B*56-DRB1*15  Italy Lombardy 0.0700674
 398  A*11:01-B*56:01-C*01:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.07001,374
 399  A*11:01-B*56:03-C*01:02-DRB1*12:01-DQA1*05:08-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 400  A*24:02-B*56:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078

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 1,915) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 20  


   

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