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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*29:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 402  A*32:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 403  A*68:01-B*39:06-C*12:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 404  A*03:01-B*39:06-DRB1*08:01  Israel Morocco Jews 0.009336,718
 405  A*03:01:01-B*39:06:02-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.008623,595
 406  A*02:01-B*39:06-C*12:03-DRB1*09:01-DQB1*03:03  India West UCBB 0.00865,829
 407  A*11:01-B*39:06-C*12:03-DRB1*14:54-DQB1*05:02  India West UCBB 0.00865,829
 408  A*24:02-B*39:06-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 409  A*24:17-B*39:06-C*12:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 410  A*26:01-B*39:06-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 411  A*33:03-B*39:06-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 412  A*02:01-B*39:06-C*07:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 413  A*02:01-B*39:06-C*12:03-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 414  A*03:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02  India North UCBB 0.00855,849
 415  A*11:01-B*39:06-C*01:02-DRB1*16:01-DQB1*04:02  India North UCBB 0.00855,849
 416  A*11:01-B*39:06-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.00855,849
 417  A*24:02-B*39:06-C*07:02-DRB1*08:01-DQB1*04:02  India North UCBB 0.00855,849
 418  A*32:01-B*39:06-C*06:02-DRB1*15:01-DQB1*05:02  India North UCBB 0.00855,849
 419  A*02:01:01-B*39:06:02-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.008523,595
 420  A*02:01-B*39:06-DRB1*08:01  Israel Ethiopia Jews 0.00845,928
 421  A*02:01-B*39:06-DRB1*13:02  Israel Ethiopia Jews 0.00845,928
 422  A*30:02-B*39:06-DRB1*03:01  Israel Ethiopia Jews 0.00845,928
 423  A*66:01-B*39:06-DRB1*04:05  Israel Ethiopia Jews 0.00845,928
 424  A*24:02-B*39:06-DRB1*01:01  Israel Poland Jews 0.008413,871
 425  A*02:01-B*39:06-DRB1*01:02  Israel Poland Jews 0.008413,871
 426  A*03:02-B*39:06-DRB1*10:01  Israel USA Jews 0.00836,058
 427  A*24:04-B*39:06-DRB1*08:01  Israel Morocco Jews 0.008336,718
 428  A*02:01-B*39:06-DRB1*12:01  Israel USA Jews 0.00836,058
 429  A*02:01-B*39:06-DRB1*01:01  Israel USA Jews 0.00836,058
 430  A*02:01-B*39:06-DRB1*03:01  Israel USA Jews 0.00836,058
 431  A*02:01-B*39:06-DRB1*16:02  Israel USA Jews 0.00836,058
 432  A*25:01-B*39:06-DRB1*04:01  Israel USA Jews 0.00836,058
 433  A*25:01-B*39:06-DRB1*04:02  Israel USA Jews 0.00836,058
 434  A*25:01-B*39:06-DRB1*04:03  Israel USA Jews 0.00836,058
 435  A*25:01-B*39:06-DRB1*04:04  Israel USA Jews 0.00836,058
 436  A*25:01-B*39:06-DRB1*04:05  Israel USA Jews 0.00836,058
 437  A*31:08-B*39:06-DRB1*16:01  Israel USA Jews 0.00836,058
 438  A*01:01-B*39:06-DRB1*16:01  Israel Arab pop 2 0.008112,301
 439  A*03:01-B*39:06-DRB1*04:02  Israel Arab pop 2 0.008112,301
 440  A*30:04-B*39:06-DRB1*04:02  Israel Arab pop 2 0.008112,301
 441  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.008123,595
 442  A*26:01-B*39:06-DRB1*04:02  Israel Poland Jews 0.008013,871
 443  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008023,595
 444  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.007923,595
 445  A*02:01-B*39:06-DRB1*03:01  Israel Poland Jews 0.007813,871
 446  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 0.007670,890
 447  A*02:17-B*39:06-DRB1*16:01  Israel Iraq Jews 0.007513,270
 448  A*24:02-B*39:06-C*07:02-DRB1*15:01  Poland DKMS 0.007520,653
 449  A*02:02-B*39:06-DRB1*08:01  Israel Morocco Jews 0.007436,718
 450  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.007323,595
 451  A*23:01-B*39:06-DRB1*08:01  Israel Poland Jews 0.007313,871
 452  A*01:01-B*39:06-DRB1*13:02  Israel Ashkenazi Jews pop 3 0.00724,625
 453  A*01:01-B*39:06-DRB1*13:03  Israel Ashkenazi Jews pop 3 0.00724,625
 454  A*01:01-B*39:06-DRB1*13:05  Israel Ashkenazi Jews pop 3 0.00724,625
 455  A*31:01-B*39:06-DRB1*12:01  Israel Poland Jews 0.007213,871
 456  A*03:01:01-B*39:06:02-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007223,595
 457  A*24:02-B*39:06-DRB1*12:01  Israel Poland Jews 0.007213,871
 458  A*29:01-B*39:06-DRB1*03:01  Israel Poland Jews 0.007113,871
 459  A*02:03-B*39:06-C*12:03-DRB1*12:02  Hong Kong Chinese BMDR 0.00667,595
 460  A*24:02-B*39:06-C*07:02-DRB1*13:01  Poland DKMS 0.006620,653
 461  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006523,595
 462  A*02:01-B*39:06-DRB1*13:02  Israel Poland Jews 0.006513,871
 463  A*24:02-B*39:06-DRB1*11:04  Israel Poland Jews 0.006413,871
 464  A*26:01-B*39:06-DRB1*04:02  Israel Morocco Jews 0.006236,718
 465  A*02:01-B*39:06-DRB1*16:01  Israel Iran Jews 0.00618,153
 466  A*24:02-B*39:06-C*07:02-DRB1*13:02  Poland DKMS 0.006020,653
 467  A*02:01:01-B*39:06:02-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.005923,595
 468  A*02:01-B*39:06-DRB1*08:01  Israel Morocco Jews 0.005736,718
 469  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*15:06:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 470  A*02:01-B*39:06-DRB1*16:01  Israel USSR Jews 0.005645,681
 471  A*02:01-B*39:06-DRB1*07:01  Israel USSR Jews 0.005545,681
 472  A*02:01-B*39:06-DRB1*08:01  Israel Tunisia Jews 0.00559,070
 473  A*24:02-B*39:06-DRB1*08:01  Israel Tunisia Jews 0.00559,070
 474  A*02:01-B*39:06-DRB1*04:02  Israel Poland Jews 0.005513,871
 475  A*02:02-B*39:06-DRB1*11:04  Israel Morocco Jews 0.005436,718
 476  A*01:01-B*39:06-C*07:02-DRB1*11:01  Poland DKMS 0.005320,653
 477  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005223,595
 478  A*68:02-B*39:06-DRB1*08:01  Israel Poland Jews 0.005213,871
 479  A*03:02-B*39:06-DRB1*11:04  Israel Morocco Jews 0.005236,718
 480  A*02:01-B*39:06-C*12:03-DRB1*07:01  Poland DKMS 0.004820,653
 481  A*29:02-B*39:06-C*12:03-DRB1*08:01  Poland DKMS 0.004820,653
 482  A*02:01-B*39:06-C*07:02-DRB1*16:01  Poland DKMS 0.004720,653
 483  A*02:01-B*39:06-C*12:03-DRB1*08:01  Poland DKMS 0.004720,653
 484  A*24:02-B*39:06-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 485  A*24:02-B*39:06-C*07:02-DRB1*14:10-DQB1*05:10  India South UCBB 0.004411,446
 486  A*24:02-B*39:06-C*15:02-DRB1*07:01-DQB1*05:02  India South UCBB 0.004411,446
 487  A*24:07-B*39:06-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 488  A*33:03-B*39:06-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 489  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.004423,595
 490  A*03:01:01-B*39:06:02-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.004223,595
 491  A*24:02:01-B*39:06:02-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 492  A*26:01:01-B*39:06:02-C*07:02:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 493  A*68:01:02-B*39:06:02-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 494  A*26:01:01-B*39:06:02-C*07:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 495  A*01:01:01-B*39:06:02-C*07:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 496  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 497  A*02:01-B*39:06-DRB1*15:01  Israel USSR Jews 0.004245,681
 498  A*32:01:01-B*39:06:02-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004123,595
 499  A*31:08-B*39:06-DRB1*15:01  Israel USA Jews 0.00416,058
 500  A*31:08-B*39:06-DRB1*15:02  Israel USA Jews 0.00416,058

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 690) 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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