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 963) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*11:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.08601,159
 302  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.08601,159
 303  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0854221
 304  A*02:02-B*07:05-C*07:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.08502,411
 305  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.07992,492
 306  A*01-B*35-DRB1*13:02-DQA1*01:02-DQB1*06:09  Brazil Paraná Caucasian 0.0780641
 307  A*02-B*35-DRB1*13:02-DQA1*01:02-DQB1*06:09  Brazil Paraná Caucasian 0.0780641
 308  A*02-B*57-DRB1*13:02-DQA1*01:02-DQB1*06:09  Brazil Paraná Caucasian 0.0780641
 309  A*30-B*15-DRB1*13:02-DQA1*01:02-DQB1*06:09  Brazil Paraná Caucasian 0.0780641
 310  A*31-B*35-DRB1*01:02-DQA1*01:01-DQB1*06:09  Brazil Paraná Caucasian 0.0780641
 311  A*34-B*44-DRB1*13:02-DQA1*01:02-DQB1*06:09  Brazil Paraná Caucasian 0.0780641
 312  A*68-B*14-DRB1*13:02-DQA1*01:02-DQB1*06:09  Brazil Paraná Caucasian 0.0780641
 313  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0746221
 314  A*30:02-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.074211,446
 315  DRB1*13:04-DQB1*06:09-DPB1*17:01  Gambia pop 3 0.0729939
 316  A*01:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.07275,829
 317  DRB1*03:02-DQB1*06:09-DPB1*17:01  Gambia pop 3 0.0727939
 318  DRB1*01:02-DQB1*06:09-DPB1*463:01  Gambia pop 3 0.0726939
 319  DRB1*04:05-DQB1*06:09-DPB1*04:02  Gambia pop 3 0.0726939
 320  DRB1*04:05-DQB1*06:09-DPB1*18:01  Gambia pop 3 0.0726939
 321  DRB1*08:06-DQB1*06:09-DPB1*131:01  Gambia pop 3 0.0726939
 322  DRB1*11:01-DQB1*06:09-DPB1*13:01  Gambia pop 3 0.0726939
 323  DRB1*11:01-DQB1*06:09-DPB1*17:01  Gambia pop 3 0.0726939
 324  DRB1*11:02-DQB1*06:09-DPB1*01:01  Gambia pop 3 0.0726939
 325  DRB1*13:04-DQB1*06:09-DPB1*85:01  Gambia pop 3 0.0726939
 326  DRB1*16:02-DQB1*06:09-DPB1*01:01  Gambia pop 3 0.0726939
 327  A*01:01-B*51:01-C*16:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*04:01  Sri Lanka Colombo 0.0700714
 328  A*23:01-B*58:01-C*03:02-DRB1*15:01-DQA1*01:02-DQB1*06:09-DPB1*117:01  Sri Lanka Colombo 0.0700714
 329  A*24:07-B*58:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*10:01  Sri Lanka Colombo 0.0700714
 330  A*24:17-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Sri Lanka Colombo 0.0700714
 331  A*31:01-B*18:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*15:01  Sri Lanka Colombo 0.0700714
 332  A*31:01-B*44:03-C*14:03-DRB1*15:02-DQA1*01:03-DQB1*06:09-DPB1*03:01  Sri Lanka Colombo 0.0700714
 333  A*32:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Sri Lanka Colombo 0.0700714
 334  A*33:03-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Sri Lanka Colombo 0.0700714
 335  DRB1*07:01-DQB1*06:09  Italy pop 5 0.0700975
 336  A*23:01:01-B*53:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0687221
 337  A*01:01-B*58:01-C*07:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 338  A*02:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 339  A*02:05-B*58:01-C*07:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 340  A*23:01-B*45:01-C*06:02-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 341  A*30:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 342  A*33:03-B*58:01-C*07:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 343  A*02:01-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 344  A*23:01-B*58:01-C*07:01-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 345  A*24:02-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 346  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP African American pop 2 0.0656416,581
 347  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.06501,159
 348  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.06401,159
 349  A*30:02:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0614221
 350  A*02:01-B*15:03-C*02:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.06002,411
 351  A*66:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.06002,411
 352  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.0600833
 353  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*41:01  China Zhejiang Han pop 2 0.0600833
 354  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.0600833
 355  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.0600833
 356  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*02:02-DPB1*03:01  China Zhejiang Han pop 2 0.0600833
 357  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0591833
 358  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.05771,734
 359  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09-DPB1*03:01  Russia Karelia 0.05771,075
 360  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.05692,403
 361  A*01:01-B*57:01-C*06:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.05652,403
 362  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:09-DPB1*03:01  Russia Karelia 0.05651,075
 363  A*33:03-B*44:02-C*05:01-DRB1*13:02-DQB1*06:09-DPB1*02:01  Russia Karelia 0.05651,075
 364  A*29:02-B*51:08-C*16:02-DRB1*13:02-DQB1*06:09-DPB1*02:01  Russia Karelia 0.05651,075
 365  A*02:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09-DPB1*02:01  Russia Karelia 0.05631,075
 366  A*03:01-B*37:01-C*06:02-DRB1*13:02-DQB1*06:09-DPB1*03:01  Russia Karelia 0.05611,075
 367  A*01:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.055311,446
 368  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP African 0.055228,557
 369  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Middle Eastern or North Coast of Africa 0.054770,890
 370  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.054111,446
 371  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 372  A*02:07-B*39:15-C*04:01-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 373  A*23:01-B*07:05-C*07:02-DRB1*12:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 374  A*24:02-B*39:01-C*07:02-DRB1*03:01-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 375  A*24:02-B*40:01-C*03:04-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 376  A*24:02-B*40:01-C*08:01-DRB1*13:01-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 377  A*24:02-B*44:03-C*07:01-DRB1*13:01-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 378  A*24:02-B*44:03-C*07:01-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 379  A*24:02-B*51:02-C*14:02-DRB1*13:73-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 380  A*24:02-B*58:01-C*03:02-DRB1*13:01-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 381  A*33:03-B*58:01-C*01:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 382  A*34:01-B*15:21-C*04:03-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 383  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.05205,829
 384  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.050211,446
 385  DRB1*11:01-DQB1*06:09  Italy pop 5 0.0500975
 386  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.04785,849
 387  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.04735,849
 388  A*02:01-B*15:01-C*03:04-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 389  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 390  A*29:02-B*44:03-C*16:01-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.04702,411
 391  A*30:01-B*07:05-C*07:02-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 392  A*30:02-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 393  A*30:02-B*41:02-C*17:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 394  A*30:02-B*55:01-C*03:04-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 395  A*32:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 396  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 397  A*36:01-B*15:03-C*02:02-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 398  A*74:01-B*15:10-C*03:02-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 399  A*80:01-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 400  A*33:03-B*58:34-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.04652,492

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 963) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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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