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 401 to 500 (from 630) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*11:01-B*35:08-DRB1*04:08  Israel Tunisia Jews 0.00559,070
 402  A*01:17-B*08:01-DRB1*04:08  Israel Ashkenazi Jews pop 3 0.00554,625
 403  A*01:36-B*08:01-DRB1*04:08  Israel Ashkenazi Jews pop 3 0.00554,625
 404  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.005423,595
 405  A*02-B*41-DRB1*04:08  Chile Santiago 0.0052920
 406  A*26:01-B*38:01-C*12:03-DRB1*04:08  Poland DKMS 0.005120,653
 407  A*24:02-B*35:01-DRB1*04:08  Israel USSR Jews 0.005145,681
 408  A*24:02-B*35:01-C*04:01-DRB1*04:08  Poland DKMS 0.004820,653
 409  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.004823,595
 410  A*31:01-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.004720,653
 411  A*31:01-B*40:01-C*03:04-DRB1*04:08  Poland DKMS 0.004620,653
 412  A*01:01-B*35:01-C*06:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 413  A*01:01-B*39:01-C*07:06-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 414  A*02:01-B*07:02-C*07:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 415  A*02:01-B*15:01-C*03:03-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 416  A*02:01-B*18:01-C*12:03-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 417  A*02:01-B*27:05-C*02:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 418  A*02:01-B*51:01-C*07:02-DRB1*04:08-DQB1*03:02  India South UCBB 0.004411,446
 419  A*02:03-B*15:01-C*03:03-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 420  A*02:06-B*35:01-C*03:03-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 421  A*02:09-B*48:01-C*08:03-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 422  A*02:11-B*40:01-C*03:04-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 423  A*02:11-B*44:02-C*15:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 424  A*02:11-B*58:34-C*03:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 425  A*11:01-B*44:03-C*12:03-DRB1*04:08-DQB1*03:02  India South UCBB 0.004411,446
 426  A*11:01-B*51:01-C*14:02-DRB1*04:08-DQB1*03:02  India South UCBB 0.004411,446
 427  A*23:01-B*18:01-C*07:01-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 428  A*23:01-B*35:01-C*04:01-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 429  A*24:02-B*15:08-C*01:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 430  A*24:02-B*35:01-C*07:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 431  A*26:01-B*07:02-C*07:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 432  A*26:01-B*07:02-C*07:02-DRB1*04:08-DQB1*03:02  India South UCBB 0.004411,446
 433  A*30:01-B*13:01-C*04:03-DRB1*04:08-DQB1*03:02  India South UCBB 0.004411,446
 434  A*30:01-B*44:03-C*07:06-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 435  A*31:01-B*07:06-C*07:02-DRB1*04:08-DQB1*03:02  India South UCBB 0.004411,446
 436  A*31:01-B*27:05-C*02:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 437  A*32:01-B*07:02-C*07:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 438  A*33:03-B*15:17-C*07:01-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 439  A*33:03-B*55:01-C*03:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 440  A*68:01-B*57:01-C*06:02-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 441  A*02:01:01-B*55:01:01-C*03:03:01-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.004423,595
 442  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.004323,595
 443  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.004223,595
 444  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.004223,595
 445  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.004223,595
 446  A*03:02-B*35:01-DRB1*04:08  Israel Arab pop 2 0.004212,301
 447  A*02:02-B*15:16-DRB1*04:08  Israel Arab pop 2 0.004112,301
 448  A*29:02-B*15:01-DRB1*04:08  Israel Arab pop 2 0.004112,301
 449  A*30:01-B*53:01-DRB1*04:08  Israel Arab pop 2 0.004112,301
 450  A*02:01-B*27:05-C*02:02-DRB1*04:08  Poland DKMS 0.004020,653
 451  A*01:01-B*35:08-DRB1*04:08  Israel Poland Jews 0.003613,871
 452  A*01:01-B*18:01-DRB1*04:08  Israel Poland Jews 0.003613,871
 453  A*01:01-B*37:01-DRB1*04:08  Israel Poland Jews 0.003613,871
 454  A*02:17-B*38:01-DRB1*04:08  Israel Poland Jews 0.003613,871
 455  A*25:01-B*18:01-DRB1*04:08  Israel Poland Jews 0.003613,871
 456  A*26:01-B*08:01-DRB1*04:08  Israel Poland Jews 0.003613,871
 457  A*26:01-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.003620,653
 458  A*25:01-B*18:01-DRB1*04:08  Israel USSR Jews 0.003645,681
 459  A*03:01-B*07:02-C*07:02-DRB1*04:08  Poland DKMS 0.003520,653
 460  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.003423,595
 461  A*02:01-B*27:05-C*01:02-DRB1*04:08  Poland DKMS 0.003420,653
 462  A*68:01-B*44:03-C*07:01-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00332,492
 463  A*11:01-B*15:01-DRB1*04:08  Israel USSR Jews 0.003345,681
 464  A*24:04-B*35:01-DRB1*04:08  Israel USSR Jews 0.003345,681
 465  A*66:01-B*58:01-DRB1*04:08  Israel YemenJews 0.003215,542
 466  A*33:03-B*51:01-C*12:02-DRB1*04:08-DQB1*03:01  India Tamil Nadu 0.00322,492
 467  A*68:01-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.003220,653
 468  A*03:01-B*44:02-DRB1*04:08  Israel Arab pop 2 0.003212,301
 469  A*24:02-B*35:03-DRB1*04:08  Israel USSR Jews 0.003045,681
 470  A*02:01-B*44:02-C*07:04-DRB1*04:08  Poland DKMS 0.003020,653
 471  A*02:01-B*51:01-C*15:02-DRB1*04:08  Poland DKMS 0.003020,653
 472  A*03:01-B*39:01-DRB1*04:08  Israel Arab pop 2 0.002912,301
 473  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002823,595
 474  A*03:01-B*35:01-DRB1*04:08  Israel USSR Jews 0.002645,681
 475  A*02:01-B*57:01-C*06:02-DRB1*04:08  Poland DKMS 0.002620,653
 476  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002623,595
 477  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.002623,595
 478  A*02:01-B*18:01-C*12:03-DRB1*04:08  Poland DKMS 0.002520,653
 479  A*24:02-B*08:01-C*07:01-DRB1*04:08  Poland DKMS 0.002520,653
 480  A*03:01-B*35:03-DRB1*04:08  Israel USSR Jews 0.002545,681
 481  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002423,595
 482  A*01:01-B*15:01-C*03:03-DRB1*04:08  Poland DKMS 0.002420,653
 483  A*01:01-B*44:02-C*05:01-DRB1*04:08  Poland DKMS 0.002420,653
 484  A*01:01-B*57:01-C*06:02-DRB1*04:08  Poland DKMS 0.002420,653
 485  A*02:01-B*15:01-C*03:04-DRB1*04:08  Poland DKMS 0.002420,653
 486  A*02:01-B*38:01-C*12:03-DRB1*04:08  Poland DKMS 0.002420,653
 487  A*02:01-B*40:01-C*03:02-DRB1*04:08  Poland DKMS 0.002420,653
 488  A*02:01-B*51:01-C*16:02-DRB1*04:08  Poland DKMS 0.002420,653
 489  A*02:05-B*40:02-C*02:02-DRB1*04:08  Poland DKMS 0.002420,653
 490  A*03:01-B*18:01-C*12:03-DRB1*04:08  Poland DKMS 0.002420,653
 491  A*03:01-B*35:03-C*04:01-DRB1*04:08  Poland DKMS 0.002420,653
 492  A*24:03-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.002420,653
 493  A*24:07-B*14:02-C*08:02-DRB1*04:08  Poland DKMS 0.002420,653
 494  A*25:01-B*13:02-C*12:03-DRB1*04:08  Poland DKMS 0.002420,653
 495  A*25:01-B*51:01-C*15:02-DRB1*04:08  Poland DKMS 0.002420,653
 496  A*26:01-B*44:02-C*03:03-DRB1*04:08  Poland DKMS 0.002420,653
 497  A*26:08-B*35:01-C*04:01-DRB1*04:08  Poland DKMS 0.002420,653
 498  A*31:01-B*27:05-C*02:02-DRB1*04:08  Poland DKMS 0.002420,653
 499  A*33:03-B*35:03-C*07:01-DRB1*04:08  Poland DKMS 0.002420,653
 500  A*68:01-B*15:03-C*04:01-DRB1*04:08  Poland DKMS 0.002420,653

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 401 to 500 (from 630) 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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