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 4,401 to 4,500 (from 5,620) records   Pages: 41 42 43 44 45 46 47 48 49 50 of 57  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 4,401  A*24:17-B*38:01-DRB1*13:01  Israel Ashkenazi Jews pop 3 0.00644,625
 4,402  A*26:01-B*38:01-DRB1*08:04  Israel YemenJews 0.006415,542
 4,403  A*29:01-B*38:01-DRB1*14:01  Israel YemenJews 0.006415,542
 4,404  A*30:04-B*38:01-DRB1*14:01  Israel YemenJews 0.006415,542
 4,405  A*31:08-B*38:01-DRB1*13:01  Israel Ashkenazi Jews pop 3 0.00644,625
 4,406  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*11:06:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00645,266
 4,407  A*32:01-B*38:01-DRB1*11:04  Israel Morocco Jews 0.006436,718
 4,408  A*02:17-B*38:01-DRB1*13:01  Israel Morocco Jews 0.006436,718
 4,409  A*03:02-B*38:01-DRB1*15:01  Israel USSR Jews 0.006445,681
 4,410  A*03:02-B*38:01-DRB1*01:02  Israel Poland Jews 0.006413,871
 4,411  A*02:17:02-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.006423,595
 4,412  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*14:04:01-DQB1*05:01:01  Poland BMR 0.006423,595
 4,413  A*26:15-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 4,414  A*03:01-B*38:01-DRB1*14:01  Israel Iraq Jews 0.006413,270
 4,415  A*11:01-B*38:01-DRB1*13:01  Israel Iran Jews 0.00638,153
 4,416  A*33:01-B*38:01-DRB1*14:01  Israel Iran Jews 0.00638,153
 4,417  A*01:01-B*38:01-DRB1*13:01  Israel Tunisia Jews 0.00639,070
 4,418  A*02:02-B*38:01-DRB1*04:03  Israel Tunisia Jews 0.00639,070
 4,419  A*01:01-B*38:01-C*06:02-DRB1*11:04  Poland DKMS 0.006320,653
 4,420  A*33:03-B*38:01-C*12:03-DRB1*10:01  Poland DKMS 0.006320,653
 4,421  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.006323,595
 4,422  A*30:02-B*38:01-DRB1*13:02  Israel Poland Jews 0.006213,871
 4,423  A*31:01-B*38:01-DRB1*14:01  Israel Iran Jews 0.00628,153
 4,424  A*33-B*38-DRB1*14:125  Chile Santiago 0.0062920
 4,425  A*02-B*38-DRB1*08  Brazil Para State 0.00625,000
 4,426  A*33:01-B*38:01-DRB1*04:02  Israel Argentina Jews 0.00624,307
 4,427  A*33:01-B*38:01-DRB1*04:03  Israel Argentina Jews 0.00624,307
 4,428  A*33:01-B*38:01-DRB1*04:04  Israel Argentina Jews 0.00624,307
 4,429  A*33:01-B*38:01-DRB1*04:05  Israel Argentina Jews 0.00624,307
 4,430  A*68:01-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00625,849
 4,431  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006223,595
 4,432  A*02:05-B*38:01-DRB1*13:01  Israel Poland Jews 0.006213,871
 4,433  A*01:01-B*38:01-DRB1*16:01  Israel Arab pop 2 0.006212,301
 4,434  A*68:02-B*38:01-DRB1*11:04  Israel USSR Jews 0.006245,681
 4,435  A*03:02-B*38:01-DRB1*14:01  Israel Iran Jews 0.00618,153
 4,436  A*01:01-B*38:01-DRB1*13:01  Israel Iran Jews 0.00618,153
 4,437  A*02:01-B*38:01-DRB1*13:02  Israel Iran Jews 0.00618,153
 4,438  A*02:01-B*38:01-DRB1*15:02  Israel Iran Jews 0.00618,153
 4,439  A*02:05-B*38:01-DRB1*13:01  Israel Iran Jews 0.00618,153
 4,440  A*02:05-B*38:01-DRB1*14:01  Israel Iran Jews 0.00618,153
 4,441  A*23:01-B*38:01-DRB1*14:01  Israel Iran Jews 0.00618,153
 4,442  A*24:02-B*38:01-DRB1*04:03  Israel Iran Jews 0.00618,153
 4,443  A*24:02-B*38:01-DRB1*11:01  Israel USSR Jews 0.006145,681
 4,444  A*24:17-B*38:01-DRB1*16:01  Israel Iran Jews 0.00618,153
 4,445  A*26:01-B*38:01-DRB1*14:07  Israel Iran Jews 0.00618,153
 4,446  A*29:01-B*38:01-DRB1*07:01  Israel Iran Jews 0.00618,153
 4,447  A*29:01-B*38:01-DRB1*11:01  Israel Iran Jews 0.00618,153
 4,448  A*29:01-B*38:01-DRB1*16:02  Israel Iran Jews 0.00618,153
 4,449  A*29:02-B*38:01-DRB1*13:01  Israel Iran Jews 0.00618,153
 4,450  A*30:01-B*38:01-DRB1*04:03  Israel Iran Jews 0.00618,153
 4,451  A*30:02-B*38:01-DRB1*13:01  Israel Iran Jews 0.00618,153
 4,452  A*31:08-B*38:01-DRB1*16:01  Israel Iran Jews 0.00618,153
 4,453  A*32:01-B*38:01-DRB1*11:04  Israel Iran Jews 0.00618,153
 4,454  A*32:01-B*38:01-DRB1*15:02  Israel Iran Jews 0.00618,153
 4,455  A*43:01-B*38:01-DRB1*16:01  Israel Iran Jews 0.00618,153
 4,456  A*02:17-B*38:01-DRB1*11:04  Israel Tunisia Jews 0.00619,070
 4,457  A*26:02-B*38:01-DRB1*04:02  Israel Morocco Jews 0.006136,718
 4,458  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP South Asian Indian 0.0061185,391
 4,459  A*03-B*38-DRB1*07  Brazil Para State 0.00615,000
 4,460  A*31:01-B*38:02-C*07:02-DRB1*04:03  Hong Kong Chinese BMDR 0.00617,595
 4,461  A*31:01-B*38:02-C*07:02-DRB1*13:12  Hong Kong Chinese BMDR 0.00617,595
 4,462  A*01:01:01-B*38:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006123,595
 4,463  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.006123,595
 4,464  A*03:02-B*38:01-DRB1*07:01  Israel USSR Jews 0.006145,681
 4,465  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.006123,595
 4,466  A*03:02-B*38:01-DRB1*14:04  Israel Tunisia Jews 0.00619,070
 4,467  A*03:02-B*38:01-DRB1*14:06  Israel Tunisia Jews 0.00619,070
 4,468  A*02:01-B*38:01-DRB1*13:01  Israel Iran Jews 0.00618,153
 4,469  A*02:01-B*38:02-C*07:02-DRB1*16:01  Hong Kong Chinese BMDR 0.00607,595
 4,470  A*02:03-B*38:02-C*07:02-DRB1*14:18  Hong Kong Chinese BMDR 0.00607,595
 4,471  A*23-B*38-DRB1*04  Brazil South East Cord Blood 0.006011,409
 4,472  A*68-B*38-DRB1*11  Brazil South East Cord Blood 0.006011,409
 4,473  A*26:01-B*38:01-DRB1*04:03  Israel YemenJews 0.006015,542
 4,474  A*24:04-B*38:01-DRB1*13:02  Israel Poland Jews 0.006013,871
 4,475  A*01:03-B*38:01-DRB1*13:03  Israel Georgia Jews 0.00594,471
 4,476  A*29:02-B*38:01-DRB1*13:03  Israel Arab pop 2 0.005912,301
 4,477  A*33:01:01-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.005923,595
 4,478  A*03:01-B*38:01-C*12:03-DRB1*03:01  Hong Kong Chinese BMDR 0.00597,595
 4,479  A*33:03-B*38:02-C*07:02-DRB1*15:01-DQB1*05:01  India South UCBB 0.005911,446
 4,480  A*24:17-B*38:01-DRB1*14:01  Israel Georgia Jews 0.00594,471
 4,481  A*26:01-B*38:01-DRB1*13:03  Israel USSR Jews 0.005945,681
 4,482  A*68-B*38-DRB1*14:140  Chile Santiago 0.0058920
 4,483  A*68-B*38-DRB1*14:142  Chile Santiago 0.0058920
 4,484  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.005823,595
 4,485  A*02-B*38-DRB1*13:109  Chile Santiago 0.0058920
 4,486  A*02-B*38-DRB1*13:138  Chile Santiago 0.0058920
 4,487  A*02-B*38-DRB1*13:143  Chile Santiago 0.0058920
 4,488  A*02-B*38-DRB1*13:69  Chile Santiago 0.0058920
 4,489  A*01:01-B*38:01-DRB1*07:01  Israel Poland Jews 0.005813,871
 4,490  A*01:03-B*38:01-DRB1*15:01  Israel Georgia Jews 0.00584,471
 4,491  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.005823,595
 4,492  A*02:02-B*38:01-DRB1*13:02  Israel YemenJews 0.005815,542
 4,493  A*02:02-B*38:06-DRB1*04:02  Israel Argentina Jews 0.00584,307
 4,494  A*02:02-B*38:29-DRB1*04:02  Israel Argentina Jews 0.00584,307
 4,495  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DPB1*04:02:14  Hong Kong Chinese HKBMDR HLA 11 loci 0.00585,266
 4,496  A*03:01-B*38:06-DRB1*13:01  Israel Argentina Jews 0.00584,307
 4,497  A*03:01-B*38:29-DRB1*13:01  Israel Argentina Jews 0.00584,307
 4,498  A*24:03-B*38:06-DRB1*04:02  Israel Argentina Jews 0.00584,307
 4,499  A*24:03-B*38:29-DRB1*04:02  Israel Argentina Jews 0.00584,307
 4,500  A*24:04-B*38:06-DRB1*08:01  Israel Argentina Jews 0.00584,307

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 4,401 to 4,500 (from 5,620) records   Pages: 41 42 43 44 45 46 47 48 49 50 of 57  


   

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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