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 5,668) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 57  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01/02:02  South Korea pop 3 1.9000485
 302  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 1.9000159
 303  DRB1*03:01-DQA1*03:01-DQB1*02:01  India Northeast Mathur 1.9000155
 304  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*17:01  China Canton Han 1.9000264
 305  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 1.880143,540
 306  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 1.87691,463
 307  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 308  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 1.8200261,235
 309  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.81111,075
 310  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 1.8041194
 311  A*01-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 312  A*02-B*15:03-DRB1*03:02-DQB1*02:01  Tunisia pop 3 1.8000104
 313  A*02-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 314  A*02-B*51-DRB1*03:01-DQB1*02:01  Tunisia pop 3 1.8000104
 315  A*24-B*44-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 316  DRB1*03:01:01-DQB1*02:01-DPB1*04:01  China Lijiang Naxi 1.8000100
 317  DRB1*03:01-DQA1*03:01-DQB1*02:01  India Northeast Kayastha 1.8000190
 318  DRB1*03:01-DRB3*02-DQB1*02:01  Macedonia pop 2 1.800080
 319  DRB1*07:01-DQA1*03:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 1.8000167
 320  A*02:01-B*51:01-DRB1*15:01-DQB1*02:01  Iran Yazd 1.785756
 321  A*11:01-B*35:01-DRB1*03:01-DQB1*02:01  Iran Yazd 1.785756
 322  A*30:01-B*13:01-DRB1*07:01-DQB1*02:01  Iran Yazd 1.785756
 323  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 1.78401,999
 324  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 1.7610142
 325  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 1.74404,335
 326  DRB1*07:01:01:01-DQB1*02:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 1.7280496
 327  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 1.72001,999
 328  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 329  A*02:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 1.7000298
 330  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 331  A*11:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 332  A*26:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 333  A*68-B*08-DRB1*03:01-DQB1*02:01  Madeira pop 2 1.7000173
 334  DRB1*03:01-DQA1*03:01-DQB1*02:01  India Northeast Rastogi 1.7000196
 335  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Korea pop 11 1.7000149
 336  DRB1*03:01-DQB1*02:01-DPB1*03:01  Ireland South 1.7000250
 337  DRB1*07:01-DQB1*02:01  Mexico Oaxaca Zapotec 1.700090
 338  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.6788146,714
 339  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Southeast Asian 1.678627,978
 340  A*01:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 341  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 342  A*26:01-B*08:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 343  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 1.6528115,374
 344  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 1.60795,829
 345  DRB1*13:03-DQB1*02:01  USA African American pop 4 1.60102,411
 346  A*03:01-B*47:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*15:01  South Africa Worcester 1.6000159
 347  DRB1*04:05-DQA1*03:01-DQB1*02:01  Italy Sardinia Oristano 1.600091
 348  DRB1*07:01-DQB1*02:01-DPB1*02:01  Greece pop3 1.6000246
 349  DRB1*07-DQA1*02:01-DQB1*02:01  Canada British Columbia Athabaskan 1.600062
 350  DRB1*03:01:01:01-DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.5910496
 351  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.5860146,714
 352  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 1.57674,204
 353  A*01:01-B*51:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 354  A*01:01-B*57:03-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 355  A*02:01-B*51:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 356  A*24:02-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 357  A*30:02-B*18:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 358  A*34:02-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 359  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 1.56711,242,890
 360  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 1.5625405
 361  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 1.560064
 362  A*03:01-B*13:01-C*06:02-DRB1*07:01-DQB1*02:01  Iran Gorgan 1.560064
 363  A*30:01-B*13:01-C*06:02-DRB1*15:01-DQB1*02:01  Iran Gorgan 1.560064
 364  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 1.52475,849
 365  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 1.50401,772
 366  A*24-B*40-DRB1*03:01-DQA1*05:01-DQB1*02:01  Russia Tuva 1.5000190
 367  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  South Korea pop 1 1.5000324
 368  DRB1*03:01-DQB1*02:01-DPB1*04:01  Greece pop3 1.5000246
 369  DRB1*15:01-DQA1*06:01-DQB1*02:01  India Northeast Mech 1.500063
 370  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Black 1.470668
 371  A*01:01:01-B*81:01:01-C*18:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 372  A*03:01:01-B*35:01:01-C*07:02:01-DRB1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 373  A*23:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Black 1.470668
 374  A*30:01:01-B*38:01:01-C*17:01:01-DRB1*03:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 375  A*31:01:02-B*27:05:02-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 376  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 1.43215,926
 377  DQA1*01:02-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Han 1.430070
 378  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 1.4211261,235
 379  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 1.4203185,391
 380  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 1.4138951
 381  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 1.4000250
 382  A*02-B*44-DRB1*07:01-DQB1*02:01  Madeira pop 2 1.4000173
 383  A*02-B*50-DRB1*07:01-DQB1*02:01  Madeira pop 2 1.4000173
 384  A*29-B*44-DRB1*07:01-DQB1*02:01  Madeira pop 2 1.4000173
 385  A*30-B*07-DRB1*03-DQA1*05:01-DQB1*02:01  Jordan Amman 1.4000146
 386  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Siberia Ulchi 1.400073
 387  DRB1*03:01-DQB1*02:01-DPB1*01:01  Greece pop3 1.4000246
 388  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*02:01  China Canton Han 1.4000264
 389  DRB1*07:01-DQB1*02:01-DPB1*04:01  Greece pop3 1.4000246
 390  B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 1.3986143
 391  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 1.39102,411
 392  A*03-B*08-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3700112
 393  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 1.3618521
 394  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 1.3575221
 395  A*31:01-B*51:01-C*16:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 1.3333150
 396  A*02-B*13-DRB1*07-DQA1*02:01-DQB1*02:01  Georgia Svaneti Region Svan 1.300080
 397  A*02-B*44-DRB1*07-DQA1*02:01-DQB1*02:01  Georgia Svaneti Region Svan 1.300080
 398  A*03-B*07-DRB1*03-DQA1*05:01-DQB1*02:01  Georgia Svaneti Region Svan 1.300080
 399  DRB1*03:01-DQB1*02:01-DPB1*04:02  Greece pop3 1.3000246
 400  DRB1*07:01-DQA1*04:01-DQB1*02:01/02:02  Equatorial Guinea Bioko Island Bubi 1.3000100

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 5,668) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 57  


   

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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