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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68:01-B*40:02-C*03:04-DRB1*04:07  Germany DKMS - Spain minority 0.04501,107
 302  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 303  A*02:01-B*40:02-C*03:04-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.04401,772
 304  A*02:01-B*40:02-C*03:04-DRB1*12:01-DQB1*04:02  USA Asian pop 2 0.04401,772
 305  A*02:01-B*40:02-C*03:04-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.04401,772
 306  A*11:01-B*40:02-C*03:04-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.04401,772
 307  A*24:02-B*40:02-C*03:04-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.04401,772
 308  A*24:02-B*40:02-C*03:04-DRB1*09:01  Hong Kong Chinese BMDR 0.04407,595
 309  A*24:02-B*40:02-C*03:04-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 310  A*24:02-B*40:02-C*03:04-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 311  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.04401,772
 312  A*34:05-B*40:02-C*03:04-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04401,772
 313  A*31:01-B*40:02-C*03:04-DRB1*04:10-DQB1*04:02  Germany DKMS - Italy minority 0.04301,159
 314  A*11:01-B*40:02-C*03:04-DRB1*09:01  Japan pop 16 0.042018,604
 315  A*24:02-B*40:02-C*03:04-DRB1*11:01  Poland DKMS 0.041320,653
 316  A*02:01-B*40:02-C*03:04-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 317  A*02:06-B*40:02-C*03:04-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 318  A*24:02-B*40:02-C*03:04-DRB1*12:02  Germany DKMS - China minority 0.04001,282
 319  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03931,463
 320  A*02:01-B*40:02-C*03:04-DRB1*08:02  Germany DKMS - China minority 0.03901,282
 321  A*02:01-B*40:02-C*03:04-DRB1*08:03  Germany DKMS - China minority 0.03901,282
 322  A*02:01-B*40:02-C*03:04-DRB1*12:02  Germany DKMS - China minority 0.03901,282
 323  A*02:01-B*40:02-C*03:04-DRB1*13:02  Germany DKMS - China minority 0.03901,282
 324  A*02:01-B*40:02-C*03:04-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 325  A*02:03-B*40:02-C*03:04-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 326  A*02:06-B*40:02-C*03:04-DRB1*11:01  Germany DKMS - China minority 0.03901,282
 327  A*02:07-B*40:02-C*03:04-DRB1*11:01  Germany DKMS - China minority 0.03901,282
 328  A*02:07-B*40:02-C*03:04-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 329  A*02:10-B*40:02-C*03:04-DRB1*04:01  Germany DKMS - China minority 0.03901,282
 330  A*03:01-B*40:02-C*03:04-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 331  A*24:02-B*40:02-C*03:04-DRB1*04:01  Germany DKMS - China minority 0.03901,282
 332  A*24:02-B*40:02-C*03:04-DRB1*08:02  Germany DKMS - China minority 0.03901,282
 333  A*31:01-B*40:02-C*03:04-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 334  A*33:03-B*40:02-C*03:04-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 335  A*24:02-B*40:02-C*03:04-DRB1*11:01  Hong Kong Chinese BMDR 0.03877,595
 336  A*24:02-B*40:02-C*03:04-DRB1*04:03  Hong Kong Chinese BMDR 0.03807,595
 337  A*11:01-B*40:02-C*03:04-DRB1*12:02  Hong Kong Chinese BMDR 0.03747,595
 338  A*02:01-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.037018,604
 339  A*02:06-B*40:02-C*03:04-DRB1*04:05  Japan pop 16 0.037018,604
 340  A*02:06-B*40:02-C*03:04-DRB1*12:01  Japan pop 16 0.037018,604
 341  A*02:01-B*40:02-C*03:04-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 342  A*24:02-B*40:02-C*03:04-DRB1*08:01  Germany DKMS - Netherlands minority 0.03601,374
 343  A*02:22-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03441,463
 344  A*02:01-B*40:02-C*03:04-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 345  A*02:13-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 346  A*02:17-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 347  A*02:22-B*40:02-C*03:04-DRB1*14:06-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 348  A*02:22-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 349  A*03:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 350  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 351  A*24:02-B*40:02-C*03:04-DRB1*15:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 352  A*24:03-B*40:02-C*03:04-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 353  A*24:14-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 354  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQB1*03:04  Colombia Bogotá Cord Blood 0.03421,463
 355  A*26:01-B*40:02-C*03:04-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 356  A*31:01-B*40:02-C*03:04-DRB1*08:04-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 357  A*31:02-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 358  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 359  A*68:01-B*40:02-C*03:04-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 360  A*02:11-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 361  A*02:22-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 362  A*02:17-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03361,463
 363  A*24:02-B*40:02-C*03:04-DRB1*14:54  Hong Kong Chinese BMDR 0.03337,595
 364  A*29:02-B*40:02-C*03:04-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03321,463
 365  A*02:01:01:01-B*40:02:01-C*03:04:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 366  A*03:01:01:01-B*40:02:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 367  A*03:01:01:01-B*40:02:01-C*03:04:01-DRB1*14:54-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 368  A*03:01:01:03-B*40:02:01-C*03:04:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 369  A*11:01:01:01-B*40:02:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 370  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*04:10:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 371  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 372  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*12:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 373  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 374  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*14:54-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 375  A*24:02:01:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 376  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 377  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 378  A*30:01:01-B*40:02:01-C*03:04:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 379  A*01:01-B*40:02-C*03:04-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 380  A*02:06-B*40:02-C*03:04-DRB1*08:03  Japan pop 16 0.031018,604
 381  A*02:06-B*40:02-C*03:04-DRB1*15:01  Japan pop 16 0.031018,604
 382  A*26:01-B*40:02-C*03:04-DRB1*11:01  Japan pop 16 0.031018,604
 383  A*26:01-B*40:02-C*03:04-DRB1*12:01  Japan pop 16 0.031018,604
 384  A*26:01-B*40:02-C*03:04-DRB1*14:05  Japan pop 16 0.031018,604
 385  A*26:02-B*40:02-C*03:04-DRB1*09:01  Japan pop 16 0.031018,604
 386  A*31:01-B*40:02-C*03:04-DRB1*04:03  Japan pop 16 0.031018,604
 387  A*02:01-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 388  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 389  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 390  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 391  A*02:01-B*40:02-C*03:04-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 392  A*02:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 393  A*02:01-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 394  A*02:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 395  A*02:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 396  A*02:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 397  A*02:01-B*40:02-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 398  A*02:06-B*40:02-C*03:04-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 399  A*02:06-B*40:02-C*03:04-DRB1*04:10-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 400  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078

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 746) 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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