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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68:01-B*14:02-DRB1*01:02-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 302  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.14833,456,066
 303  A*29:10-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Turkey minority 0.14404,856
 304  A*02-B*14:02-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.1433348
 305  A*30-B*14:02-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.1433348
 306  A*32:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.14301,159
 307  A*24:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Italy pop 5 0.1400975
 308  A*29:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Italy pop 5 0.1400975
 309  A*68:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Italy pop 5 0.1400975
 310  A*01:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 311  A*03:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 312  A*02:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.13671,463
 313  A*33:03:01-B*14:02-C*08:02:01-DRB1*01:02-DQB1*05:01:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.134028,927
 314  A*68:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA NMDP American Indian South or Central America 0.13155,926
 315  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.131233,328
 316  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.128327,978
 317  A*02-B*14:02-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.12791,173
 318  A*03-B*14:02-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.12791,173
 319  A*66-B*14:02-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.12791,173
 320  A*31-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.12561,189
 321  A*01-B*14:02-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 322  A*02-B*14:02-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 323  A*11-B*14:02-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 324  A*24-B*14:02-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 325  A*26-B*14:02-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 326  A*32-B*14:02-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 327  A*03-B*14:02-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.1214824
 328  A*02-B*14:02-DRB1*01-DQB1*05  Mexico Tlaxcala Rural 0.1205830
 329  A*32-B*14:02-DRB1*01-DQB1*05  Mexico Tlaxcala Rural 0.1205830
 330  A*03-B*14:02-DRB1*01-DQB1*05  Mexico Puebla Rural 0.1199833
 331  A*03:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.11601,159
 332  A*74:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.10402,411
 333  A*03:01:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.10391,510
 334  A*24:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 335  A*68-B*14:02-DRB1*01-DQB1*05  Mexico Oaxaca Rural 0.1027485
 336  A*24:02-B*14:02-C*02:02-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.10251,463
 337  A*29:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.10251,463
 338  A*30-B*14:02-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.10021,994
 339  A*02:01:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09981,510
 340  A*02:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.09401,999
 341  A*32:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.09401,999
 342  A*02-B*14:02-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.0924539
 343  A*29-B*14:02-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.0924539
 344  A*32-B*14:02-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.0924539
 345  A*01-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.0853585
 346  A*02-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.0853585
 347  A*23-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.0853585
 348  A*24-B*14:02-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.08531,173
 349  A*26-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.0853585
 350  A*03-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 351  A*11-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 352  A*29-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 353  A*80-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 354  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.08313,456,066
 355  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.082528,557
 356  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.080023,595
 357  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.0788185,391
 358  A*23-B*14:02-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.07521,994
 359  A*30:04-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 360  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  India West UCBB 0.06865,829
 361  A*31:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 362  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.066850,614
 363  A*11-B*14:02-DRB1*01-DQB1*05  Mexico Mexico City North 0.0664751
 364  A*30-B*14:02-DRB1*01-DQB1*05  Mexico Mexico City North 0.0664751
 365  A*26:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 366  A*24:02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06511,510
 367  A*23:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.06501,159
 368  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP African American pop 2 0.0650416,581
 369  A*24:02-B*14:02-C*02:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.06201,999
 370  A*24-B*14:02-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 371  A*29-B*14:02-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 372  A*01-B*14:02-DRB1*01-DQB1*05  Mexico Puebla Rural 0.0600833
 373  A*24-B*14:02-DRB1*01-DQB1*05  Mexico Puebla Rural 0.0600833
 374  A*26-B*14:02-DRB1*01-DQB1*05  Mexico Puebla Rural 0.0600833
 375  A*66-B*14:02-DRB1*01-DQB1*05  Mexico Puebla Rural 0.0600833
 376  A*68-B*14:02-DRB1*01-DQB1*05  Mexico Puebla Rural 0.0600833
 377  A*24:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.05823,456,066
 378  A*02:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Turkey minority 0.05804,856
 379  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:02  Russia Karelia 0.05791,075
 380  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 381  A*32:01-B*14:02-C*07:04-DRB1*01:02-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05691,075
 382  A*32:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05651,075
 383  A*33:05-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*17:01  Russia Karelia 0.05651,075
 384  A*25:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05641,075
 385  A*34:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:02  Russia Karelia 0.05641,075
 386  A*32:01-B*14:02-C*07:04-DRB1*01:02-DQB1*05:01-DPB1*04:02  Russia Karelia 0.05601,075
 387  A*03:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Turkey minority 0.05204,856
 388  A*03-B*14:02-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 389  A*24-B*14:02-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 390  A*32-B*14:02-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 391  A*66-B*14:02-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 392  A*69-B*14:02-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 393  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  India Central UCBB 0.04764,204
 394  A*02:05-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 395  A*03:01-B*14:02-C*15:05-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 396  A*29:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 397  A*30:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 398  A*31:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 399  A*68:02-B*14:02-C*08:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 400  A*29-B*14:02-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.04261,173

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 493) 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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