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 2,306) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68:02:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.19871,510
 302  A*68:02-B*14:02-DRB1*10:01  Israel Ethiopia Jews 0.19705,928
 303  A*68:02-B*57:01-DRB1*07:01  Israel Argentina Jews 0.19704,307
 304  A*68:02-B*57:01-DRB1*07:01  Israel Poland Jews 0.197013,871
 305  A*68:02-B*13:02-DRB1*01:02  Israel Ethiopia Jews 0.19605,928
 306  A*68:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 307  A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 308  A*68:02:01-B*15:16:01-C*14:02:01-DRB1*01:02:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 309  A*68:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 310  A*68:02:01-B*38:01:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 311  A*68:02:01-B*45:01:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 312  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 313  A*68:02:01-B*55:01:01-C*18:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 314  A*68:02:01-B*57:03:01-C*18:02:01-DRB1*08:04:01-DQB1*03:01:04-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 315  A*68:02-B*27:02-DRB1*11:04  Israel USA Jews 0.19406,058
 316  A*68:02-B*53:01-C*04:01-DRB1*13:02  Germany DKMS - Croatia minority 0.19402,057
 317  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA NMDP Black South or Central American 0.19344,889
 318  A*68:02:01-B*49:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.1927221
 319  A*68:02:01-B*53:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.1927519
 320  A*68:02-B*57:01-C*07:01-DRB1*03:02-DQB1*04:02  USA NMDP Caribean Indian 0.192214,339
 321  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - United Kingdom minority 0.19201,043
 322  A*68:02-B*27:02-DRB1*11:04  Israel Ashkenazi Jews pop 3 0.19104,625
 323  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 324  A*68:02-B*49:01-C*07:01-DRB1*04:05-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 325  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*04:02  Panama 0.1900462
 326  A*68:02-B*58:01-C*07:01-DRB1*13:03-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 327  A*68:02-B*58:01-C*07:01-DRB1*15:03-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 328  A*68:02-B*81:01  USA African American pop 4 0.19002,411
 329  A*68:02-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.188720,653
 330  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.18701,999
 331  A*68:02-B*57:03-C*07:01-DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.18701,999
 332  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA NMDP American Indian South or Central America 0.18415,926
 333  A*68:02-B*53:01-C*04:01-DRB1*13:02  Germany DKMS - Netherlands minority 0.18201,374
 334  A*68:02-B*27:02-DRB1*11:04  Israel Poland Jews 0.179013,871
 335  A*68:02-B*27:02-DRB1*11:04  Israel Kavkazi Jews 0.17902,840
 336  A*68:02-B*53:01-DRB1*13:02  Israel Morocco Jews 0.178036,718
 337  A*68:02-B*35:08-DRB1*11:04  Israel Kavkazi Jews 0.17702,840
 338  A*68:02-B*58:01-DRB1*15:03  Israel Ethiopia Jews 0.17705,928
 339  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.175823,595
 340  A*68:02-B*08:01-DRB1*03:01  Israel Kavkazi Jews 0.17502,840
 341  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.17433,456,066
 342  A*68:02-B*53:01-C*04:01-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.17402,411
 343  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.17091,463
 344  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.17001,999
 345  A*68:02-B*49:01-DRB1*10:01  Israel Morocco Jews 0.169036,718
 346  A*68:02-B*53:01-DRB1*04:04  Israel YemenJews 0.169015,542
 347  A*68:02-B*51:08-DRB1*04:03  Israel Morocco Jews 0.163036,718
 348  A*68:02-B*18:01-DRB1*03:01  Israel Poland Jews 0.161013,871
 349  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.160514,339
 350  A*68:02-B*13:02-DRB1*15:01  Israel Ethiopia Jews 0.16005,928
 351  A*68:02-B*07:02-C*17:01-DRB1*11:01-DQB1*04:02-DPB1*13:01  Tanzania Maasai 0.1597336
 352  A*68:02-B*07:05-C*07:05-DRB1*13:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 353  A*68:02-B*08:01-C*07:02-DRB1*13:02-DQB1*06:03-DPB1*02:01  Tanzania Maasai 0.1597336
 354  A*68:02-B*13:02-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 355  A*68:02-B*13:02-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 356  A*68:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 357  A*68:02-B*13:02-C*16:01-DRB1*01:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 358  A*68:02-B*13:03-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Tanzania Maasai 0.1597336
 359  A*68:02-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*01:01  Tanzania Maasai 0.1597336
 360  A*68:02-B*15:10-C*03:03-DRB1*11:01-DQB1*03:19-DPB1*04:01  Tanzania Maasai 0.1597336
 361  A*68:02-B*15:10-C*03:04-DRB1*04:05-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 362  A*68:02-B*15:10-C*03:04-DRB1*10:01-DQB1*06:02-DPB1*01:01  Tanzania Maasai 0.1597336
 363  A*68:02-B*15:10-C*08:04-DRB1*13:01-DQB1*06:03-DPB1*133:01  Tanzania Maasai 0.1597336
 364  A*68:02-B*15:17-C*07:01-DRB1*04:01-DQB1*06:03-DPB1*04:01  Tanzania Maasai 0.1597336
 365  A*68:02-B*18:01-C*02:15-DRB1*01:02-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 366  A*68:02-B*18:01-C*05:01-DRB1*01:02-DQB1*05:01-DPB1*124:01  Tanzania Maasai 0.1597336
 367  A*68:02-B*18:01-C*05:01-DRB1*14:54-DQB1*05:03-DPB1*18:01  Tanzania Maasai 0.1597336
 368  A*68:02-B*18:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.1597336
 369  A*68:02-B*18:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.1597336
 370  A*68:02-B*18:09-C*07:04-DRB1*04:05-DQB1*06:04-DPB1*107:01  Tanzania Maasai 0.1597336
 371  A*68:02-B*27:03-C*02:09-DRB1*01:02-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 372  A*68:02-B*27:03-C*06:02-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.1597336
 373  A*68:02-B*35:01-C*04:01-DRB1*03:01-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 374  A*68:02-B*35:01-C*04:01-DRB1*15:03-DQB1*06:02-DPB1*03:01  Tanzania Maasai 0.1597336
 375  A*68:02-B*35:01-C*07:05-DRB1*13:02-DQB1*05:01-DPB1*17:01  Tanzania Maasai 0.1597336
 376  A*68:02-B*41:01-C*08:13-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.1597336
 377  A*68:02-B*44:03-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.1597336
 378  A*68:02-B*44:15-C*17:30-DRB1*03:01-DQB1*06:02-DPB1*14:01  Tanzania Maasai 0.1597336
 379  A*68:02-B*45:01-C*04:01-DRB1*01:02-DQB1*03:01-DPB1*01:01  Tanzania Maasai 0.1597336
 380  A*68:02-B*45:01-C*07:01-DRB1*03:01-DQB1*06:04-DPB1*55:01  Tanzania Maasai 0.1597336
 381  A*68:02-B*45:01-C*08:04-DRB1*13:02-DQB1*04:02-DPB1*04:01  Tanzania Maasai 0.1597336
 382  A*68:02-B*47:03-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*11:01  Tanzania Maasai 0.1597336
 383  A*68:02-B*47:03-C*07:01-DRB1*03:01-DQB1*06:08-DPB1*02:01  Tanzania Maasai 0.1597336
 384  A*68:02-B*47:03-C*07:01-DRB1*13:01-DQB1*06:08-DPB1*414:01  Tanzania Maasai 0.1597336
 385  A*68:02-B*47:03-C*07:22-DRB1*13:03-DQB1*05:01-DPB1*106:01  Tanzania Maasai 0.1597336
 386  A*68:02-B*49:01-C*04:39-DRB1*09:01-DQB1*02:02-DPB1*17:01  Tanzania Maasai 0.1597336
 387  A*68:02-B*53:01-C*04:01-DRB1*03:02-DQB1*06:08-DPB1*03:01  Tanzania Maasai 0.1597336
 388  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.1597336
 389  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 390  A*68:02-B*57:02-C*07:22-DRB1*13:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 391  A*68:02-B*57:03-C*07:01-DRB1*15:03-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 392  A*68:02-B*57:03-C*07:06-DRB1*07:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 393  A*68:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.1597336
 394  A*68:02-B*58:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 395  A*68:02-B*58:01-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*105:01  Tanzania Maasai 0.1597336
 396  A*68:02-B*58:01-C*15:05-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 397  A*68:02-B*58:02-C*07:06-DRB1*11:01-DQB1*06:08-DPB1*02:01  Tanzania Maasai 0.1597336
 398  A*68:02-B*81:01-C*06:02-DRB1*08:04-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 399  A*68:02-B*44:02-DRB1*13:01  Israel Morocco Jews 0.159036,718
 400  A*68:02-B*50:01-DRB1*07:01  Israel Morocco Jews 0.157036,718

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 2,306) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

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