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 901 to 1,000 (from 1,301) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02204,856
 902  A*33:01-B*08:01-C*07:01-DRB1*11:01-DQB1*02:01  USA African American pop 4 0.02202,411
 903  A*33:01-B*08:01-C*07:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.02202,411
 904  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02173,456,066
 905  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.021723,595
 906  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.02163,456,066
 907  A*03:01-B*08:01-C*07:01-DRB1*15:01  Poland DKMS 0.021320,653
 908  A*01:01-B*08:01-C*07:01-DRB1*08:01  Poland DKMS 0.021220,653
 909  A*02:01-B*08:01-C*07:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.02104,856
 910  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 911  A*23:01-B*08:01-C*07:01-DRB1*15:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 912  A*29:02-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.020620,653
 913  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.02063,456,066
 914  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.020623,595
 915  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.02023,456,066
 916  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*14:01  Germany DKMS - German donors 0.02023,456,066
 917  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 918  A*01:01-B*08:01-C*07:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.01963,456,066
 919  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01963,456,066
 920  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.019523,595
 921  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*19:01  Germany DKMS - German donors 0.01903,456,066
 922  A*30:02-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.017820,653
 923  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01743,456,066
 924  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01733,456,066
 925  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.01715,849
 926  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Germany DKMS - German donors 0.01713,456,066
 927  A*01:01-B*08:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01703,456,066
 928  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01683,456,066
 929  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01653,456,066
 930  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01643,456,066
 931  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01633,456,066
 932  A*01:01-B*08:01-C*07:01-DRB1*14:01  Poland DKMS 0.016120,653
 933  A*23:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01613,456,066
 934  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.016023,595
 935  A*01:01-B*08:01-C*07:01-DRB1*04:04  Poland DKMS 0.016020,653
 936  A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.01563,456,066
 937  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Chinese 0.015499,672
 938  A*02:06-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01523,456,066
 939  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01503,456,066
 940  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:04:01-DQB1*02:01:01  Poland BMR 0.014823,595
 941  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*06:02:01  Poland BMR 0.014823,595
 942  A*01:01-B*08:01-C*07:01-DRB1*12:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01473,456,066
 943  A*02:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01433,456,066
 944  A*01:01-B*08:01-C*07:01-DRB1*09:01  Poland DKMS 0.014020,653
 945  A*30:02-B*08:01-C*07:01-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01404,856
 946  A*01:01-B*08:01-C*07:01-DRB1*12:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01393,456,066
 947  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.01373,456,066
 948  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*03:03-DPB1*13:01  Germany DKMS - German donors 0.01343,456,066
 949  A*01:01-B*08:01-C*07:01-DRB1*15:01  Hong Kong Chinese BMDR 0.01327,595
 950  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01304,856
 951  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.01293,456,066
 952  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.01273,456,066
 953  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.012723,595
 954  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0123221
 955  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01233,456,066
 956  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*05:01  Germany DKMS - German donors 0.01223,456,066
 957  A*01:01-B*08:01-C*07:01-DRB1*01:03-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 958  A*01:01-B*08:01-C*07:01-DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 959  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01204,856
 960  A*01:01-B*08:01-C*07:01-DRB1*13:04-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 961  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 962  A*23:01-B*08:01-C*07:01-DRB1*11:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 963  A*23:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 964  A*26:01-B*08:01-C*07:01-DRB1*01:03-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 965  A*26:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 966  A*29:02-B*08:01-C*07:01-DRB1*11:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 967  A*29:02-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 968  A*68:02-B*08:01-C*07:01-DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 969  A*68:02-B*08:01-C*07:01-DRB1*13:04-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 970  A*30:04:01-B*08:01:01-C*07:01:01-DRB1*09:01:02  Nicaragua Mestizo (G) 0.0119155
 971  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.011923,595
 972  A*01:01-B*08:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01153,456,066
 973  A*01:01-B*08:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.01143,456,066
 974  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01143,456,066
 975  A*26:01-B*08:01-C*07:01-DRB1*13:02  Poland DKMS 0.011220,653
 976  A*01:01-B*08:01-C*07:01-DRB1*09:01-DQB1*03:03-DPB1*04:02  Germany DKMS - German donors 0.01123,456,066
 977  A*01:01-B*08:01-C*07:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01104,856
 978  A*01:01-B*08:01-C*07:01-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 979  A*01:01-B*08:01-C*07:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 980  A*02:01-B*08:01-C*07:01-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.01102,411
 981  A*02:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:01  USA African American pop 4 0.01102,411
 982  A*02:01-B*08:01-C*07:01-DRB1*04:11-DQB1*03:02  USA African American pop 4 0.01102,411
 983  A*02:01-B*08:01-C*07:01-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 984  A*02:01-B*08:01-C*07:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 985  A*02:01-B*08:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.01102,411
 986  A*02:02-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 987  A*02:02-B*08:01-C*07:01-DRB1*12:01-DQB1*05:01  USA African American pop 4 0.01102,411
 988  A*02:02-B*08:01-C*07:01-DRB1*13:02-DQB1*05:01  USA African American pop 4 0.01102,411
 989  A*02:02-B*08:01-C*07:01-DRB1*13:04-DQB1*03:01  USA African American pop 4 0.01102,411
 990  A*02:05-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 991  A*02:05-B*08:01-C*07:01-DRB1*12:01-DQB1*05:01  USA African American pop 4 0.01102,411
 992  A*03:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 993  A*11:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 994  A*11:01-B*08:01-C*07:01-DRB1*12:01-DQB1*05:01  USA African American pop 4 0.01102,411
 995  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 996  A*24:02-B*08:01-C*07:01-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.01101,772
 997  A*24:03-B*08:01-C*07:01-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.01102,411
 998  A*24:03-B*08:01-C*07:01-DRB1*04:11-DQB1*03:02  USA African American pop 4 0.01102,411
 999  A*24:07-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 1,000  A*24:07-B*08:01-C*07:01-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.01101,772

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 901 to 1,000 (from 1,301) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

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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