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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*03:01  Italy pop 5 0.1400975
 302  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 303  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Filipino 0.137750,614
 304  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 305  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.13401,159
 306  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.13331,075
 307  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.131028,927
 308  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.13102,411
 309  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Germany DKMS - Italy minority 0.12901,159
 310  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.128324,582
 311  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.124623,595
 312  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Russia Karelia 0.12451,075
 313  A*11:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 0.12001,234
 314  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.119228,927
 315  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.117928,927
 316  A*32:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 0.11601,107
 317  A*68:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.11601,698
 318  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Southeast Asian 0.114227,978
 319  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  India West UCBB 0.11135,829
 320  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.11001,510
 321  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.109328,927
 322  A*26:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 0.10801,107
 323  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.10795,829
 324  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.10725,829
 325  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.106899,672
 326  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.10601,999
 327  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.105028,927
 328  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.10432,403
 329  A*32:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.10401,043
 330  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Black 0.103333,328
 331  A*23:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 0.10301,107
 332  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.10263,456,066
 333  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India North UCBB 0.10255,849
 334  A*23:01-B*07:02-C*07:02-DRB1*15:01  Italy pop 5 0.1000975
 335  A*25:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.10001,043
 336  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.09975,829
 337  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.09793,456,066
 338  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.09725,849
 339  A*32:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 340  A*29:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 0.09601,107
 341  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.09501,075
 342  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.09412,492
 343  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.09401,043
 344  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0932221
 345  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.092911,446
 346  A*68:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.09001,406
 347  A*25:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.08941,510
 348  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.088324,582
 349  A*68:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.08702,411
 350  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  Germany DKMS - Italy minority 0.08601,159
 351  A*31:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.084920,653
 352  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.08401,075
 353  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.08352,492
 354  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.08322,403
 355  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0832221
 356  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.08113,456,066
 357  A*31:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 0.08101,234
 358  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.080511,446
 359  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Filipino 0.079350,614
 360  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India Central UCBB 0.07904,204
 361  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.078277,584
 362  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.07604,204
 363  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.074311,446
 364  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.07271,075
 365  A*26:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 0.07201,234
 366  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.07153,456,066
 367  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.071599,672
 368  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African 0.071428,557
 369  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Southeast Asian 0.071027,978
 370  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 371  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 372  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
 373  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 374  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 375  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
 376  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
 377  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
 378  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 379  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 380  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 381  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 382  A*29:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.06801,698
 383  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 384  A*01:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Portugal minority 0.06701,176
 385  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
 386  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
 387  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
 388  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
 389  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
 390  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
 391  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.065811,446
 392  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.065224,582
 393  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.06434,204
 394  A*03:01-B*07:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.06377,595
 395  A*25:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Croatia minority 0.06302,057
 396  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 397  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06211,510
 398  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
 399  A*02:06-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.05901,698
 400  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

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


   

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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