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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 301 to 400 (from 550) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*06:01  Sri Lanka Colombo 0.0700714
 302  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 303  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0698185,391
 304  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.06953,456,066
 305  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 306  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 307  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 308  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 309  A*68:01:02:02-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06641,510
 310  A*02:01:01:01-B*07:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 311  A*02:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 312  A*03:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 313  A*11:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 314  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.066023,595
 315  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.06593,456,066
 316  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.065224,582
 317  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.06434,204
 318  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 319  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.061323,595
 320  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 321  A*02:01-B*07:02-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05651,075
 322  A*02:01-B*07:04-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05651,075
 323  A*02:01-B*07:02-C*03:04-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05651,075
 324  A*02:01-B*07:04-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.05623,456,066
 325  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.05625,849
 326  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05591,075
 327  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Russia Karelia 0.05581,075
 328  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.05535,829
 329  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.05401,463
 330  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.05392,403
 331  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.053677,584
 332  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.05285,849
 333  A*11:01-B*07:02-C*04:01-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 334  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.05133,456,066
 335  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.05042,492
 336  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.05032,492
 337  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.05001,999
 338  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.049411,446
 339  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.04935,849
 340  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.048343,540
 341  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04801,772
 342  A*02:01-B*07:02-C*07:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 343  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 344  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 345  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 346  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 347  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.04705,829
 348  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 349  A*66:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 350  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.045823,595
 351  A*68:01:01:02-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.04551,510
 352  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Germany DKMS - German donors 0.04543,456,066
 353  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.044423,595
 354  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 355  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 356  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 357  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.04372,403
 358  A*29:01-B*07:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 359  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 360  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.04265,849
 361  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Filipino 0.042450,614
 362  A*02:01:01:01-B*07:02:01-C*03:04:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.04161,510
 363  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.04133,456,066
 364  A*02:11-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.04104,204
 365  A*31:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.04011,510
 366  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.03923,456,066
 367  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.03912,492
 368  A*02:11-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.03855,849
 369  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.03765,829
 370  A*03:01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03601,510
 371  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03571,463
 372  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.03555,829
 373  A*03:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03531,510
 374  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.03513,456,066
 375  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 376  A*03:01-B*07:05-C*15:05-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 377  A*24:02-B*07:02-C*12:03-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 378  A*01:01-B*07:02-C*07:04-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 379  A*03:01-B*07:02-C*01:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 380  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 381  A*29:02-B*07:10-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 382  A*30:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 383  A*31:01-B*07:02-C*12:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 384  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 385  A*69:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 386  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Germany DKMS - German donors 0.03393,456,066
 387  A*02:01:01:01-B*07:02:01-C*05:01:01:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 388  A*02:01:01:01-B*07:02:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 389  A*02:06:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 390  A*11:01:01:01-B*07:02:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 391  A*30:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 392  A*33:03:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 393  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.032977,584
 394  A*29:01-B*07:05-C*15:05-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03204,856
 395  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03104,856
 396  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.030799,672
 397  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.03063,456,066
 398  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.03065,829
 399  A*03:02-B*07:05-C*15:05-DRB1*15:01-DQB1*06:02  India South UCBB 0.030611,446
 400  A*03:01:01-B*07:04-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.030423,595

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 550) records   Pages: 1 2 3 4 5 6 of 6  


   

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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