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 4,142) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Ireland South 1.2000250
 302  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Ireland South 1.2000250
 303  A*25-B*18-DRB1*15:01-DQB1*06:02  Macedonia pop 3 1.2000172
 304  A*25-B*18-DRB1*15:01-DQB1*06:02  Spain North Cantabria 1.200083
 305  A*26-B*38-DRB1*13-DQB1*06:02  Cuba Mixed 1.200078
 306  A*68-B*35-DRB1*13-DQB1*06:02  Cuba Mixed 1.200078
 307  B*15:01-DRB1*15:01-DQB1*06:02  South Korea pop 3 1.2000485
 308  B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Ireland South 1.2000250
 309  DRB1*13-DQA1*01:02-DQB1*06:02  Russia Smolensk 1.2000156
 310  DRB1*15:01-DQB1*06:02  Philippines 1.200034
 311  A*01-B*39-DRB1*15:01-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 312  A*01-B*53-DRB1*15:03-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 313  A*02-B*07-DRB1*15:01-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 314  A*03-B*07-DRB1*15:01-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 315  A*23-B*44-DRB1*15:01-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 316  A*30-B*14-DRB1*15:03-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 317  A*36-B*39-DRB1*11:01-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 318  A*74-B*15-DRB1*13:04-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 319  A*03-B*07-DRB1*15-DQA1*01:02-DQB1*06:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.1900112
 320  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Hispanic 1.1835115,374
 321  DRB1*15:02-DQA1*01:02-DQB1*06:02  Spain Las Alpujarras 1.180085
 322  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 323  A*23:05-B*07:02:01-C*07:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Parda 1.1765170
 324  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 1.1700975
 325  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 1.16861,510
 326  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 1.1501192
 327  A*03:01-B*07:02-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 328  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 329  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 1.12793,456,066
 330  DQA1*01:03-DQB1*06:02  Uganda Baganda 1.100047
 331  DRB1*15:01-DQA1*01:02-DQB1*06:02  Italy Sardinia Sassari 1.100091
 332  DRB1*15:01-DQA1*01:02-DQB1*06:02  Italy Sardinia Carbonia 1.100091
 333  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 11 1.1000149
 334  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*23:01  USA San Francisco Caucasian 1.1000220
 335  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*23:01  USA San Francisco Caucasian 1.1000220
 336  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 1.06561,075
 337  A*01:01-B*35:44-C*07:01-DRB1*03:02-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 338  A*23:01-B*08:01-C*07:01-DRB1*04:07-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 339  A*24:02-B*07:08-C*15:02-DRB1*04:07-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 340  A*26:01-B*51:10-C*07:01-DRB1*15:01-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 341  A*30:01-B*15:47-C*02:10-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 342  A*30:01-B*15:47-C*04:07-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 343  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 344  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 1.05701,159
 345  A*30:02:01-B*07:02:01-C*07:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 1.0560142
 346  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 1.0490143
 347  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Hispanic South or Central American 1.0472146,714
 348  A*24-B*39-DRB1*04:11-DQB1*06:02  Colombia Wayu from Guajira Peninsula 1.040048
 349  A*33-B*07-DRB1*15:01-DQB1*06:02  Colombia Wayu from Guajira Peninsula 1.040048
 350  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Middle Eastern or North Coast of Africa 1.036570,890
 351  A*01:01-B*15:67-C*14:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 352  A*01:01-B*37:01:01-C*06:02-DRB1*15:01-DQB1*06:02:01  England North West 1.0000298
 353  A*02:01-B*07:02-C*04:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.0000100
 354  A*23:01-B*53:01-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 355  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Ireland South 1.0000250
 356  A*36:01-B*53:01-C*04:01-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 357  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*19:01  South Africa Worcester 1.0000159
 358  A*74:01-B*35:01-C*04:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.0000100
 359  B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Ireland South 1.0000250
 360  DQA1*01:02-DQB1*06:02  Israel Iranian Jews 1.0000101
 361  DRB1*01-DQA1*01:01-DQB1*06:02  Russia Mari 1.0000202
 362  DRB1*13:02-DQA1*01:02-DQB1*06:02  Mexico Guanajuato and Jalisco Mestizo 1.0000101
 363  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  South Korea pop 2 1.0000207
 364  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  China Canton Han 1.0000264
 365  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*13:01  South Korea pop 2 1.0000207
 366  A*33:18-B*14:01-C*07:02-DRB1*01:01-DQB1*06:02  Colombia North Wiwa El Encanto 0.961552
 367  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 368  A*32:01-B*35:08-C*04:01-DRB1*15:02-DQA1*01:03-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 369  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*05:05-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 370  A*66:01-B*40:06-C*03:02-DRB1*16:02-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 371  DQA1*01:03-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Kazakh 0.960052
 372  DQA1*05:01-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Kazakh 0.960052
 373  DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.94581,064
 374  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 375  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.935228,927
 376  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.9300215
 377  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.91502,411
 378  A*02:06-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.913711,499
 379  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 0.9000298
 380  A*01:01-B*35:01-DRB1*10:01-DQB1*06:02  Iran Yazd 0.892956
 381  A*02:01-B*51:08-DRB1*03:01-DQB1*06:02  Iran Yazd 0.892956
 382  A*03:01-B*07:02-DRB1*15:01-DQB1*06:02  Iran Yazd 0.892956
 383  A*03:01-B*41:01-DRB1*11:01-DQB1*06:02  Iran Yazd 0.892956
 384  A*11:01-B*52:01-DRB1*15:01-DQB1*06:02  Iran Yazd 0.892956
 385  A*68:01-B*08:01-DRB1*03:01-DQB1*06:02  Iran Yazd 0.892956
 386  A*68:01-B*38:01-DRB1*01:01-DQB1*06:02  Iran Yazd 0.892956
 387  A*68:01-B*44:05-DRB1*11:01-DQB1*06:02  Iran Yazd 0.892956
 388  A*68:01-B*51:06-DRB1*13:01-DQB1*06:02  Iran Yazd 0.892956
 389  A*11-B*13-DRB1*15-DQA1*01:02-DQB1*06:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 390  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*23:01  Russia Karelia 0.88421,075
 391  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.874014,339
 392  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo pop 2 0.8600234
 393  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 394  A*03:01:01-B*40:02:01-C*02:02:02-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.8403119
 395  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.8403119
 396  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.8381833
 397  A*01:01-B*55:01-DRB1*13:01-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 398  A*02:50-B*51:01-DRB1*13:01-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 399  A*02:52-B*40:01-DRB1*15:01-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 400  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.8333120

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 4,142) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  


   

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