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 6,872) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 69  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  DRB1*01:02-DQA1*01:01-DQB1*05:01  Italy Sardinia Cagliari 1.700087
 302  DRB1*01:02-DQA1*01:01-DQB1*05:01  Italy Sardinia Sassari 1.700091
 303  DRB1*10:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Sassari 1.700091
 304  DRB1*10:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Cagliari 1.700087
 305  DRB1*10:01-DQB1*05:01  Israel Ethiopian Jews 1.7000122
 306  DRB1*11:01-DQA1*03:01-DQB1*05:01  India Northeast Lachung 1.700058
 307  DRB1*12:01-DQA1*01:05-DQB1*05:01  Congo Kinshasa Bantu 1.700090
 308  DRB1*14:01-DQB1*05:01  Israel Libyan Jews 1.7000119
 309  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
 310  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
 311  DRB1*01:02-DQB1*05:01  Cretan Islanders 1.6129124
 312  A*29-B*45-DRB1*15:01-DQB1*05:01  Spain Pas Valley 1.600088
 313  B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Ireland South 1.6000250
 314  DRB1*01:01-DQA1*01:01-DQB1*05:01  India Northeast Sunni 1.6000188
 315  DRB1*10:01-DQA1*01:01-DQB1*05:01  Italy Sardinia Sorgono 1.600093
 316  DRB1*10:01-DQA1*01:05-DQB1*05:01  South Korea pop 5 1.6000467
 317  A*02:01-B*15:24-C*08:01-DRB1*15:01-DQB1*05:01  Iran Gorgan 1.560064
 318  DRB1*01:01:01-DQB1*05:01:01  India Mumbai Maratha 1.550091
 319  DRB1*10:01:01-DQB1*05:01:01  India Mumbai Maratha 1.550091
 320  A*33:01-B*14:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 1.546497
 321  A*33-B*14-DRB1*01:02-DQA1*01:01-DQB1*05:01  Spain Murcia 1.5000173
 322  DRB1*01:02-DQB1*05:01  Mexico Oaxaca Mixtec 1.5000103
 323  DRB1*10:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Khanty Mansi 1.500068
 324  DRB1*10-DQA1*01:01-DQB1*05:01  Russia Mari 1.5000202
 325  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
 326  A*02:01:01-B*53:01:01-C*06:02:01-DRB1*13:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 327  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
 328  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
 329  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
 330  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
 331  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
 332  A*31:01:02-B*39:03:01-C*18:02:01-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Black 1.470668
 333  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
 334  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 1.43205,829
 335  DRB1*10:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 1.4245939
 336  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
 337  A*29-B*53-DRB1*01:02-DQB1*05:01  Madeira pop 2 1.4000173
 338  DRB1*01:01-DQA1*01-DQB1*05:01  Algeria pop 2 1.4000106
 339  DRB1*01:02-DQA1*01:01-DQB1*05:01  Gabon Haut-Ogooue Dienga 1.4000167
 340  DRB1*10:01-DQA1*01:01-DQB1*05:01  Slovenia pop 2 1.4000140
 341  DRB1*10:01-DQB1*05:01  Philippines 1.400034
 342  DRB1*14:02-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Negidal 1.400035
 343  B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Mexico Mexico City Mestizo population 1.3986143
 344  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 1.3953185,391
 345  DRB1*01:02-DQA1*01:01-DQB1*05:01  USA European American 1.38001,899
 346  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 1.3514296
 347  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 1.34252,403
 348  A*11-B*27-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 349  DQB1*05:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 1.3270496
 350  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
 351  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.3072153
 352  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 1.3072153
 353  DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 1.30691,064
 354  A*01-B*08-DRB1*03-DQA1*05:01-DQB1*05:01  Georgia Svaneti Region Svan 1.300080
 355  A*02-B*40-DRB1*14-DQA1*01:04-DQB1*05:01  Georgia Svaneti Region Svan 1.300080
 356  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Poland 1.3000200
 357  B*37:01-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.3000485
 358  DRB1*01:01-DQA1*01:01-DQB1*05:01  Mexico Nuevo Leon Mestizo 1.300040
 359  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Korea pop 11 1.3000149
 360  DRB1*01:02-DQB1*05:01  Italy pop 5 1.3000975
 361  DRB1*01:03-DQA1*01:01-DQB1*05:01  Mexico Nuevo Leon Mestizo 1.300040
 362  DRB1*11:01-DQA1*01:02-DQB1*05:01  Equatorial Guinea Bioko Island Bubi 1.3000100
 363  DRB1*12:02-DQA1*01:01-DQB1*05:01  Equatorial Guinea Bioko Island Bubi 1.3000100
 364  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  China Canton Han 1.3000264
 365  DRB1*15:02-DQB1*05:01  Taiwan pop 2 1.3000364
 366  DRB1*16:02-DQB1*05:01  Vietnam HoaBinh Muong 1.300083
 367  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 1.2915271
 368  DRB1*13:02-DQB1*05:01  USA African American pop 4 1.29102,411
 369  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 1.27444,204
 370  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 1.2605714
 371  DRB1*10:01-DQB1*05:01  Georgia Caucasus Tbilisi 1.2605119
 372  A*01-B*35-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.2200112
 373  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Ireland South 1.2000250
 374  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Ireland South 1.2000250
 375  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  South Korea pop 11 1.2000149
 376  DRB1*01:01-DQA1*01:04-DQB1*05:01  India Uttar Pradesh 1.2000202
 377  DRB1*01:02-DQA1*01:01-DQB1*05:01  Turkey pop 1 1.2000250
 378  DRB1*01:03-DQB1*05:01-DPB1*02:01  Ireland South 1.2000250
 379  DRB1*10:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Irkutsk Tofalar 1.200043
 380  DRB1*10:01-DQA1*01:04-DQB1*05:01  Cameroon Yaounde 1.200092
 381  DRB1*10:01-DQA1*01:05-DQB1*05:01  South Korea pop 1 1.2000324
 382  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPB1*02:01  South Korea pop 2 1.2000207
 383  DRB1*10-DQA1*01:01-DQB1*05:01  Russia Kostroma Region 1.2000126
 384  DRB1*15:01-DQA1*01:01/01:04/01:05-DQB1*05:01  Russia Siberia Irkutsk Tofalar 1.200043
 385  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1790356
 386  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Parda 1.1765170
 387  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 388  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 1.15021,075
 389  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 1.1490174
 390  DRB1*10:01-DQB1*05:01  Italy pop 5 1.1400975
 391  A*01:01-B*14:01-DRB1*01:02-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 392  A*02:01-B*51:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 393  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 1.1312221
 394  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1240356
 395  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 1.12381,075
 396  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 1.12121,242,890
 397  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 1.119370,890
 398  A*02:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 1.1000485
 399  A*24-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Greece Crete 1.1000135
 400  DRB1*01:01-DQB1*05:01-DPB1*02:01  Ireland South 1.1000250

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 6,872) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 69  


   

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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