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 12,259) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 123  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*02:01-B*45:01-C*16:01-DRB1*01:02  Brazil Vale do Ribeira Quilombos 1.7361144
 302  A*11:01-B*35:01-C*04:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 1.7361144
 303  A*02-B*14-DRB1*01  Portugal Bragança 1.7000301
 304  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Iran Baloch 1.7000100
 305  A*03-B*35-DRB1*01  Portugal Aveiro 1.70005,933
 306  A*33-B*14-C*08-DRB1*01-DQB1*05  Iraq Kurdistan Region 1.7000209
 307  B*27:05-DRB1*01:01-DQB1*05:01  South Korea pop 3 1.7000485
 308  DRB1*01:01-DQA1*01:01-DQB1*05:01  India Northeast Rastogi 1.7000196
 309  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Korea pop 2 1.7000207
 310  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  South Korea pop 2 1.7000207
 311  DRB1*01:02-DQA1*01:01-DQB1*05:01  Italy Sardinia Cagliari 1.700087
 312  DRB1*01:02-DQA1*01:01-DQB1*05:01  Italy Sardinia Sassari 1.700091
 313  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Chihuahua Chihuahua City 1.6807119
 314  A*02:01:01-B*35:01:01-C*04:01-DRB1*01:01  South Africa Caucasians 1.6700102
 315  A*02-B*49-DRB1*01-DQB1*05  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 316  A*02-B*49-DRB1*01-DQB1*05  Mexico Veracruz, Orizaba 1.666760
 317  A*03:01:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 1.6667120
 318  A*03-B*39-DRB1*01-DQB1*05  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 319  A*11-B*40:01-DRB1*01:03-DQB1*05  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 320  A*24-B*45-DRB1*01-DQB1*05  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 321  A*30-B*38-DRB1*01-DQB1*05  Mexico Morelos Rural 1.666730
 322  A*34-B*58-DRB1*01-DQB1*05  Mexico Morelos Rural 1.666730
 323  A*68-B*14:02-DRB1*01-DQB1*05  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 324  A*03-B*35-DRB1*01-DQB1*05  Mexico Colima, Colima city 1.639361
 325  A*11-B*27-DRB1*01-DQB1*05  Mexico Colima, Colima city 1.639361
 326  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 1.6290221
 327  DRB1*01:02-DQB1*05:01  Cretan Islanders 1.6129124
 328  A*02:01:01-B*27:05-DRB1*01:01  Cape Verde Northwestern Islands 1.600062
 329  A*11:01:01-B*35:01:01-DRB1*01:01  Cape Verde Northwestern Islands 1.600062
 330  A*29:02-B*14:02-DRB1*01:02:01  Cape Verde Southeastern Islands 1.600062
 331  A*33-B*14-DRB1*01  Portugal Viana do Castelo 1.6000706
 332  B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Ireland South 1.6000250
 333  DRB1*01:01-DQA1*01:01-DQB1*05:01  India Northeast Sunni 1.6000188
 334  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Aguascalientes state 1.578995
 335  A*26-B*44-C*02:02-DRB1*01-DQB1*05  Russia North Ossetian 1.5700127
 336  B*35:01-DRB1*01:01  Italy pop 5 1.5700975
 337  A*11-B*35-DRB1*01-DQB1*05  Mexico Nayarit Rural 1.562564
 338  DRB1*01:01:01-DQB1*05:01:01  India Mumbai Maratha 1.550091
 339  A*33:01-B*14:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 1.546497
 340  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany pop 6 1.54008,862
 341  A*68-B*14:02-DRB1*01-DQB1*05  Mexico Guanajuato Rural 1.5337162
 342  A*33-B*14:02-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 1.5170824
 343  A*68-B*14:02-DRB1*01-DQB1*05  Mexico Sonora, Hermosillo 1.515299
 344  A*02-B*14:02-DRB1*01  Brazil Parana Oriental 1.500033
 345  A*03-B*35-DRB1*01  Portugal Faro 1.50001,242
 346  A*11-B*15-DRB1*01  Brazil Parana Oriental 1.500033
 347  A*24-B*14:02-DRB1*01  Brazil Parana Oriental 1.500033
 348  A*31:01-B*53:01-DRB1*01:02  Sao Tome Island Forro 1.500066
 349  A*33-B*14-DRB1*01  Portugal Braga 1.50001,971
 350  A*33-B*14-DRB1*01  Portugal South pop 2 1.50001,021
 351  A*33-B*14-DRB1*01  Portugal Coimbra 1.50005,057
 352  A*33-B*14-DRB1*01  Portugal Bragança 1.5000301
 353  A*33-B*14-DRB1*01:02-DQA1*01:01-DQB1*05:01  Spain Murcia 1.5000173
 354  DRB1*01:01-DQA1*05:01-DQB1*06:01  India Northeast Sunni 1.5000188
 355  DRB1*01:01-DQA1*05:01-DQB1*06:01  India Northeast Shia 1.5000190
 356  DRB1*01:02-DQB1*05:01  Mexico Oaxaca Mixtec 1.5000103
 357  A*11-B*35-DRB1*01-DQB1*05  Mexico Mexico City West 1.470633
 358  A*02:01:01-B*44:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 359  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
 360  A*03:01:01-B*51:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 361  A*11:01:01-B*07:02:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Black 1.470668
 362  A*23:01:01-B*58:01:01-C*07:18:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 363  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Black 1.470668
 364  A*24:02:01-B*39:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 365  A*36:01-B*53:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Black 1.470668
 366  A*03-B*14:02-DRB1*01-DQB1*05  Mexico Sinaloa, Culiacán 1.4563103
 367  A*02:02-B*14:02-DRB1*01:02  Israel Bukhara Jews 1.45002,317
 368  A*01-B*15:16-DRB1*01-DQB1*05  Mexico Jalisco, Tonala 1.428635
 369  A*30-B*38-DRB1*01-DQB1*05  Mexico Jalisco, Tonala 1.428635
 370  A*30-B*42-DRB1*01-DQB1*05  Mexico Jalisco, Tonala 1.428635
 371  A*68-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Tonala 1.428635
 372  A*33:01-B*14:02-C*08:02-DRB1*01:02  Italy pop 5 1.4100975
 373  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*18:01  South African Black 1.4080142
 374  A*01-B*08-DRB1*01  Germany pop 7 1.400013,386
 375  A*03-B*51-DRB1*01  Russia South Ural Bashkir 1.4000146
 376  A*11-B*35-DRB1*01  Azores 1.40001,050
 377  A*29-B*53-DRB1*01:02-DQB1*05:01  Madeira pop 2 1.4000173
 378  A*33:01-B*14:02-DRB1*01:02:01  Madeira 1.4000185
 379  A*33-B*14-DRB1*01  Portugal Vila Real 1.40001,167
 380  A*33-B*14-DRB1*01  Portugal Portalegre 1.40001,254
 381  B*27:05-C*01:02-DRB1*01:01  South Korea pop 3 1.4000485
 382  DRB1*01:01-DQA1*01-DQB1*05:01  Algeria pop 2 1.4000106
 383  DRB1*01:02-DQA1*01:01-DQB1*05:01  Gabon Haut-Ogooue Dienga 1.4000167
 384  B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Mexico Mexico City Mestizo population 1.3986143
 385  A*68:02-B*15:16-C*14:02-DRB1*01:02  Brazil Vale do Ribeira Quilombos 1.3889144
 386  A*68-B*39-C*07-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 387  B*35-C*04-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 388  A*03-B*35-C*04-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 1.38004,510
 389  DRB1*01:02-DQA1*01:01-DQB1*05:01  USA European American 1.38001,899
 390  A*32-B*27-DRB1*01-DQB1*05  Mexico Coahuila, Saltillo 1.369972
 391  A*68:02-B*14:02-DRB1*01:02  Israel USSR Jews 1.360045,681
 392  A*11-B*27-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 393  A*02-B*07-DRB1*01:03-DQB1*05  Mexico Baja California, La Paz 1.333375
 394  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Baja California, La Paz 1.333375
 395  A*68-B*53-DRB1*01-DQB1*05  Mexico Baja California, La Paz 1.333375
 396  A*11-B*27-DRB1*01-DQB1*05  Mexico Nuevo Leon, Monterrey city 1.3274226
 397  A*01-B*44-C*02-DRB1*01  Macedonia MBMDR - Macedonian Muslims 1.315876
 398  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 1.3158130
 399  A*26-B*35-C*04-DRB1*01  Macedonia MBMDR - Macedonian Muslims 1.315876
 400  A*33-B*14-C*08-DRB1*01  Macedonia MBMDR - Macedonian Muslims 1.315876

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 12,259) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 123  


   

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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