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 13,496) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 135  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*26:01-B*14:01-DRB1*07:01  Azores Central Islands 1.800059
 302  A*29:02-B*57:01-DRB1*07:01  Azores Central Islands 1.800059
 303  A*29-B*44-DRB1*07:01  USA NMDP Hispanic 1.8000449,844
 304  B*13:02-DRB1*07:01  Taiwan Hakka 1.800055
 305  DRB1*07:01-DQA1*02:01-DQB1*03:03  India Northeast Shia 1.8000190
 306  DRB1*07:01-DQA1*02:01-DQB1*03:03  USA San Francisco Caucasian 1.8000220
 307  DRB1*07:01-DQA1*03:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 1.8000167
 308  DRB1*07:01-DQB1*03:03  Tunisia Jerba Berber 1.800055
 309  DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.8000250
 310  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Francisco Caucasian 1.8000220
 311  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Francisco Caucasian 1.8000220
 312  A*01:01-B*44:10-DRB1*07:01-DQB1*03:01  Iran Yazd 1.785756
 313  A*02:07-B*15:25-DRB1*07:01  Malaysia Kelantan 1.785728
 314  A*11:01-B*13:02-DRB1*07:01  Malaysia Kelantan 1.785728
 315  A*30:01-B*13:01-DRB1*07:01-DQB1*02:01  Iran Yazd 1.785756
 316  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 1.775923,595
 317  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 318  DRB1*07:01-DQA1*02:01-DQB1*03:03  Spain Las Alpujarras 1.760085
 319  A*02:01-B*44:03-DRB1*07:01  Israel Libya Jews 1.75003,739
 320  DRB1*07:01:01:01-DQB1*02:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 1.7280496
 321  A*24:02-B*18:02-DRB1*07:01  Malaysia Champa 1.724129
 322  A*24:10-B*15:02-DRB1*07:01  Malaysia Champa 1.724129
 323  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 1.7240174
 324  DRB1*07:01-DQB1*03:03  USA Asian pop 2 1.72101,772
 325  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 1.72001,999
 326  DRB1*07:01-DQB1*03:03  Italy pop 5 1.7100975
 327  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 328  A*11:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 329  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  South Korea pop 2 1.7000207
 330  DRB1*07:01-DQB1*02:01  Mexico Oaxaca Zapotec 1.700090
 331  DRB1*07:01-DQB1*02:02-DPB1*04:01  Ireland South 1.7000250
 332  DRB1*07:01-DQB1*03:03  Samoa 1.700029
 333  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
 334  A*30:02-B*41:01-DRB1*07:01  Israel Morocco Jews 1.670036,718
 335  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 336  A*11:01-B*50:01-DRB1*07:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 1.666760
 337  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Portugal minority 1.64601,176
 338  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.6340153
 339  A*01:01-B*49:01-DRB1*07:01  Israel Morocco Jews 1.620036,718
 340  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 1.6150356
 341  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 1.6130124
 342  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Belgium 1.611031,412
 343  DRB1*07:01-DQB1*03:01  Italy pop 5 1.6100975
 344  A*02:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 1.609720,653
 345  A*01:01:01-B*37:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 346  A*01:01:01-B*44:03:01-DRB1*07:01:01  Cape Verde Southeastern Islands 1.600062
 347  A*02:01:01-B*57:01:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 348  A*03:01:01-B*41:01-DRB1*07:01:01  Cape Verde Southeastern Islands 1.600062
 349  A*24:02:01-B*14:01-DRB1*07:01:01  Madeira 1.6000185
 350  A*24-B*44-DRB1*07:01-DQB1*02  Spain Pas Valley 1.600088
 351  A*29-B*44-DRB1*07:01  USA NMDP Caucasian 1.60002,361,208
 352  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 1.6000975
 353  A*30:01-B*57:03:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 354  A*33-B*44-DRB1*07:01  USA NMDP Asian and Pacific Islander 1.6000359,423
 355  DRB1*07:01-DQA1*02:01-DQB1*03:03  Italy Sardinia Oristano 1.600091
 356  DRB1*07:01-DQB1*02:01-DPB1*02:01  Greece pop3 1.6000246
 357  DRB1*07:01-DQB1*02:02-DPB1*11:01  Ireland South 1.6000250
 358  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.57491,510
 359  A*01:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 360  A*02:01-B*35:05-DRB1*07:01-DQB1*03:01  Tunisia Gabes 1.570095
 361  A*03:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 362  A*23:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 363  A*68:02-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 364  A*69:01-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 365  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
 366  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - United Kingdom minority 1.56301,043
 367  A*02:50-B*07:03-C*15:02-DRB1*07:01-DQB1*06:03  Iran Gorgan 1.560064
 368  A*03:01-B*13:01-C*06:02-DRB1*07:01-DQB1*02:01  Iran Gorgan 1.560064
 369  A*02:01-B*57:01-DRB1*07:01-DQB1*03:03  Chile Mapuche 1.540066
 370  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Central UCBB 1.53664,204
 371  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 1.50401,772
 372  A*01:01:01-B*35:01:01-DRB1*07:01:01  Portugal Center 1.500050
 373  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Ireland South 1.5000250
 374  A*02-B*41-DRB1*07:01-DQB1*02  Gaza Palestinians 1.5000165
 375  A*02-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 1.5000173
 376  A*03-B*35-DRB1*07:01-DQB1*02  Gaza Palestinians 1.5000165
 377  A*24-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 1.500095
 378  A*30:01-B*53:01-DRB1*07:01  Sao Tome Island Forro 1.500066
 379  DRB1*07:01-DQA1*02:01-DQB1*03:03  Australia New South Wales Aborigine 1.5000177
 380  DRB1*07:01:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.4970496
 381  A*26:01-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Mexico Tixcacaltuyub Maya 1.492567
 382  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 1.491427,978
 383  DRB1*07:01:01:01-DQB1*02:02-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 1.4890496
 384  DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 1.48401,999
 385  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 386  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 387  A*23:01:01-B*42:01:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 388  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
 389  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 390  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 391  A*24:02:01-B*50:01:01-C*15:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 392  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 393  A*30:01:01-B*15:03:01-C*17:01:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Black 1.470668
 394  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 395  A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 396  A*31:01:02-B*35:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 397  A*32:01:01-B*57:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 398  A*23:01-B*41:01-DRB1*07:01  Israel Morocco Jews 1.470036,718
 399  DRB1*07:01-DQB1*02:02  Spain Tenerife Island 1.470083
 400  A*01:01-B*57:01-C*06:02-DRB1*07:01  USA Italy Ancestry 1.4650273

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 13,496) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 135  


   

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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