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 457) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 302  A*01:01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 303  A*02:01:01:01-B*52:01:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 304  A*03:01:01:01-B*52:01:01:01-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 305  A*03:01:01:01-B*52:01:01:02-C*12:03:01-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 306  A*25:01:01-B*52:01:01:02-C*12:03:01:01-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 307  A*25:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 308  A*32:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 309  A*30-B*52-C*12-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 310  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.032111,446
 311  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African American pop 2 0.0310416,581
 312  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 313  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 314  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 315  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 316  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 317  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 318  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 319  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 320  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 321  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 322  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 323  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 324  A*24:20-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 325  A*25-B*52-C*12-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 326  A*26:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 327  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 328  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.02904,856
 329  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African 0.028928,557
 330  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 331  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 332  A*26:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 333  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*13:01  Germany DKMS - German donors 0.02873,456,066
 334  A*01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.02821,510
 335  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Black 0.028033,328
 336  A*11:01-B*52:04-C*12:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.02792,403
 337  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02732,403
 338  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.02713,456,066
 339  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02632,492
 340  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.02531,463
 341  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02462,492
 342  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.02384,204
 343  A*68:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.02384,204
 344  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02342,492
 345  A*02:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.02275,849
 346  A*02:11-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.02255,829
 347  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP European Caucasian 0.02231,242,890
 348  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.02223,456,066
 349  A*02:11-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02122,403
 350  A*68:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.02114,204
 351  A*02:11-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 352  A*02:20-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 353  A*11:01-B*52:01-C*12:40-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 354  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:03  India East UCBB 0.02082,403
 355  A*24:281-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 356  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:03  India East UCBB 0.02082,403
 357  A*26:01-B*52:01-C*12:03-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02012,492
 358  A*11-B*52-C*12-DRB1*15-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.02004,510
 359  A*02:05-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01874,204
 360  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Hispanic 0.0185115,374
 361  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.0179261,235
 362  A*68:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.01775,849
 363  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01745,849
 364  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01735,849
 365  A*24:02-B*52:01-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.01725,829
 366  A*30:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01725,849
 367  A*02:06-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01715,849
 368  A*32:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.01685,849
 369  A*02:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01675,829
 370  A*02:06-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01644,204
 371  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*02:01  Germany DKMS - German donors 0.01563,456,066
 372  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01504,856
 373  A*26:01-B*52:01-C*12:02-DRB1*15:19-DQB1*06:01  Germany DKMS - Turkey minority 0.01504,856
 374  A*69:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01504,856
 375  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.01473,456,066
 376  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.013923,595
 377  A*02:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.013911,446
 378  A*01:01-B*52:04-C*12:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.01372,403
 379  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.01353,456,066
 380  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP North American Amerindian 0.013235,791
 381  A*02:01-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01304,204
 382  A*03:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01294,204
 383  A*11:01-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01255,849
 384  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.01235,849
 385  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.012123,595
 386  A*01:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01204,856
 387  A*11:01-B*52:04-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01194,204
 388  A*26:01-B*52:04-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 389  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:02  Germany DKMS - German donors 0.01173,456,066
 390  A*32:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.011411,446
 391  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African American pop 2 0.0114416,581
 392  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01134,204
 393  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01125,849
 394  A*02:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01104,204
 395  A*03:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01104,856
 396  A*11-B*52-C*12-DRB1*15-DQB1*06-DPB1*21  Myanmar Bamar 0.010946
 397  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.01065,829
 398  A*02:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.01035,829
 399  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.010111,446
 400  A*01-B*52-C*12-DRB1*15-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510

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 457) records   Pages: 1 2 3 4 5 of 5  


   

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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