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 1,088) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68:01-B*15:18-C*07:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.03415,849
 302  A*02:01-B*15:18-C*07:04-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 303  A*02:01-B*15:18-C*07:04-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 304  A*11:01-B*15:18-C*07:04-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 305  A*29:02-B*15:18-C*07:04-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 306  A*29:02-B*15:18-C*07:04-DRB1*04:01-DQB1*03:05  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 307  A*30:02-B*15:18-C*07:04-DRB1*11:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 308  A*31:01-B*15:18-C*07:04-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 309  A*32:01-B*15:18-C*07:04-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 310  A*68:01-B*15:18-C*07:04-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03334,204
 311  A*02:01:01:01-B*15:18:01-C*07:04:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 312  A*32:01:01-B*15:18:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 313  A*24:02-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.03232,492
 314  A*02:01-B*15:18-C*07:04-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03104,856
 315  A*11:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India North UCBB 0.03085,849
 316  A*02:01-B*15:18-C*07:04-DRB1*04:01  Poland DKMS 0.030520,653
 317  A*33:03-B*15:18-C*07:04-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.03012,492
 318  A*02:01-B*15:18-DRB1*16:01  Israel Iraq Jews 0.030113,270
 319  A*02:01-B*15:18-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 320  A*02:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 321  A*02:01-B*15:18-C*08:01-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 322  A*02:06-B*15:18-C*07:04-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 323  A*02:06-B*15:18-C*08:01-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 324  A*02:06-B*15:18-C*08:01-DRB1*12:01-DQA1*05:08-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 325  A*02:07-B*15:18-C*07:04-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 326  A*11:01-B*15:18-C*07:04-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 327  A*11:01-B*15:18-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 328  A*24:02-B*15:18-C*07:04-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 329  A*24:02-B*15:18-C*07:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 330  A*24:02-B*15:18-C*07:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 331  A*24:02-B*15:18-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 332  A*24:02-B*15:18-C*08:01-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 333  A*24:02-B*15:18-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 334  A*24:02-B*15:18-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 335  A*24:02-B*15:18-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 336  A*24:02-B*15:18-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 337  A*26:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 338  A*26:01-B*15:18-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 339  A*26:01-B*15:18-C*08:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 340  A*26:03-B*15:18-C*03:03-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 341  A*31:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 342  A*31:01-B*15:18-C*07:04-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 343  A*31:01-B*15:18-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 344  A*33:03-B*15:18-C*07:04-DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 345  B*15:18-C*01:02  USA Asian pop 2 0.03001,772
 346  A*01:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India West UCBB 0.02925,829
 347  A*02:01-B*15:18-C*07:04-DRB1*04:01  Germany DKMS - Austria minority 0.02901,698
 348  A*02:01-B*15:18-C*07:04-DRB1*10:01  Germany DKMS - Austria minority 0.02901,698
 349  A*03:01-B*15:18-C*07:04-DRB1*11:01  Germany DKMS - Austria minority 0.02901,698
 350  A*11:01-B*15:18-C*07:04-DRB1*11:01  Germany DKMS - Austria minority 0.02901,698
 351  A*31:01-B*15:18-C*07:04-DRB1*04:01  Germany DKMS - Austria minority 0.02901,698
 352  A*31:01-B*15:18-C*12:03-DRB1*08:01  Germany DKMS - Austria minority 0.02901,698
 353  A*33:01-B*15:18-C*07:01-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 354  A*68:01-B*15:18-C*07:04-DRB1*01:01  Germany DKMS - Austria minority 0.02901,698
 355  A*02:01-B*15:18-C*08:01-DRB1*04:03  Hong Kong Chinese BMDR 0.02897,595
 356  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 357  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 358  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 359  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 360  A*02:06:01-B*15:18:01-C*08:01:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 361  A*02:06:01-B*15:18:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 362  A*11:01:01-B*15:18:01-C*03:04:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 363  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 364  A*11:02:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 365  A*24:02:01-B*15:18:01-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 366  A*24:02:01-B*15:18:01-C*07:04:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 367  A*24:02:01-B*15:18:01-C*07:04:01-DRB1*11:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 368  A*24:02:01-B*15:18:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 369  A*24:02:01-B*15:18:01-C*08:01:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 370  A*24:02:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 371  A*24:02:01-B*15:18:01-C*08:03:01-DRB1*14:05:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 372  A*29:01:01-B*15:18:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 373  A*31:01:02-B*15:18:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 374  A*31:01:02-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 375  A*31:01:02-B*15:18:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 376  A*31:01:02-B*15:18:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 377  A*31:01:02-B*15:18:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 378  A*31:01:02-B*15:18:01-C*08:41-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 379  A*68:01-B*15:18-C*07:04-DRB1*15:01-DQB1*06:01  India West UCBB 0.02855,829
 380  A*03:01-B*15:18-C*07:04-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02842,492
 381  A*11:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India West UCBB 0.02815,829
 382  A*02:03-B*15:18  USA Asian pop 2 0.02801,772
 383  A*02:05-B*15:18  USA Asian pop 2 0.02801,772
 384  A*30:01-B*15:18  USA Asian pop 2 0.02801,772
 385  A*01:01-B*15:18-C*07:04-DRB1*07:01-DQB1*02:02  India East UCBB 0.02792,403
 386  A*01:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India South UCBB 0.026911,446
 387  A*02:11-B*15:18-C*07:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.026711,446
 388  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02665,266
 389  A*02:11-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India North UCBB 0.02645,849
 390  A*68:01-B*15:18-C*07:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.02645,829
 391  A*11:01-B*15:18-C*07:04-DRB1*07:01-DQB1*02:02  India South UCBB 0.026211,446
 392  A*02:06-B*15:18-C*08:01-DRB1*04:05  Japan pop 16 0.026018,604
 393  A*11:01-B*15:18-C*07:04-DRB1*11:04  Germany DKMS - Greece minority 0.02601,894
 394  A*23:01-B*15:18-C*07:04-DRB1*07:01  Germany DKMS - Greece minority 0.02601,894
 395  A*24:02-B*15:18-C*07:04-DRB1*04:01  Germany DKMS - Greece minority 0.02601,894
 396  A*24:02-B*15:18-C*07:04-DRB1*09:01  Japan pop 16 0.026018,604
 397  A*24:02-B*15:18-C*08:01-DRB1*04:03  Japan pop 16 0.026018,604
 398  A*30:01-B*15:18-C*07:04-DRB1*11:04  Germany DKMS - Greece minority 0.02601,894
 399  A*31:01-B*15:18-C*08:01-DRB1*09:01  Japan pop 16 0.026018,604
 400  A*68:01-B*15:18-C*07:04-DRB1*04:03  Germany DKMS - Greece minority 0.02601,894

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 1,088) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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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