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 732) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*32:01-B*51:07-C*14:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 302  A*69:01-B*51:08-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 303  A*01:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.04265,829
 304  A*11-B*51-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 305  A*23-B*51-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 306  A*24-B*51-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 307  A*32-B*51-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 308  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.04263,456,066
 309  A*03:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.04245,849
 310  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.04235,829
 311  A*11:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.04195,829
 312  A*26-B*51-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 313  A*31-B*51-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 314  A*32-B*51-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 315  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04184,204
 316  A*01:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 317  A*03:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 318  A*24:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 319  A*02:01-B*51:01-C*05:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.04104,856
 320  A*02:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.040711,446
 321  A*01:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04012,492
 322  A*02-B*51-C*01-DRB1*13-DQB1*06-DPB1*09  Norway ethnic Norwegians 0.04004,510
 323  A*03-B*51-C*14-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.04004,510
 324  A*68-B*51-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.04001,743
 325  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.039511,446
 326  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.03884,204
 327  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India East UCBB 0.03832,403
 328  A*24:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.03815,829
 329  A*11:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India West UCBB 0.03765,829
 330  A*02:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03611,510
 331  A*26:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.03585,829
 332  A*01:01-B*51:01-C*07:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.03574,204
 333  A*11:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India Central UCBB 0.03574,204
 334  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.03562,403
 335  A*02:01:01:01-B*51:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03501,510
 336  A*68:01-B*51:01-C*07:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.034911,446
 337  A*02:11-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.03482,492
 338  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03443,456,066
 339  A*02:06-B*51:01-C*03:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.03425,849
 340  A*02:01-B*51:01-C*02:02-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 341  A*02:22-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 342  A*23:01-B*51:08-C*16:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 343  A*26:01-B*51:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 344  A*29:02-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 345  A*31:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 346  A*01:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.03404,856
 347  A*02:01-B*51:01-C*01:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 348  A*02:01-B*51:01-C*01:02-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 349  A*02:01-B*51:01-C*05:01-DRB1*13:01-DQB1*06  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 350  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 351  A*02:20-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 352  A*03:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 353  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 354  A*24:02-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 355  A*25:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 356  A*31:01-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 357  A*32:01-B*51:01-C*01:02-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 358  A*32:01-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 359  A*68:01-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 360  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 361  A*02:01:01:01-B*51:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 362  A*02:01:01:01-B*51:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 363  A*03:01:01:01-B*51:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 364  A*29:02:01:01-B*51:08:01-C*16:02:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 365  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 366  A*68:01:01:02-B*51:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 367  A*68:01:02:01-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 368  A*68:01:02:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 369  A*11-B*51-C*02-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 370  A*23-B*51-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 371  A*31:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.03285,849
 372  A*68-B*51-C*02-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 373  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.032223,595
 374  A*03:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.03204,856
 375  A*03:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.03204,204
 376  A*03:01-B*51:01-C*12:09-DRB1*13:01-DQB1*06:03  India North UCBB 0.03135,849
 377  A*32:01:01-B*51:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03121,510
 378  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.03102,492
 379  A*32:01-B*51:05-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.03104,856
 380  A*24:02:01-B*51:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.030323,595
 381  A*02-B*51-C*14-DRB1*13-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.03004,510
 382  A*03-B*51-C*14-DRB1*13-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.03004,510
 383  A*03-B*51-C*15-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 384  A*11:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India North UCBB 0.03005,849
 385  A*31:01-B*51:01-C*14:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 386  A*31-B*51-C*15-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 387  A*68-B*51-C*05-DRB1*13-DQB1*06-DPB1*20  Norway ethnic Norwegians 0.03004,510
 388  A*68:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02992,492
 389  A*33:03-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.029511,446
 390  A*03:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.029411,446
 391  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02925,849
 392  A*03:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02904,856
 393  A*33:03:01-B*51:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 394  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 395  A*26:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.027411,446
 396  A*02:01-B*51:01-C*16:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02704,856
 397  A*26:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.027011,446
 398  A*01:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02685,849
 399  A*32:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.026111,446
 400  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.025723,595

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 732) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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