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 5,074) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*02-B*35-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 902  A*02-B*49-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 903  A*29-B*07-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 904  A*30-B*13-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 905  A*30-B*49-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 906  A*68-B*07-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 907  A*68-B*45-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 908  A*68-B*51-DRB1*10-DQB1*04  Mexico Michoacan Rural 0.1433348
 909  A*02:02-B*41:01-DRB1*10:01  Israel Morocco Jews 0.142036,718
 910  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.14165,849
 911  A*01:01-B*37:01-C*07:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 912  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 913  A*01-B*51-DRB1*10  Iran pop 4 0.1401855
 914  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 915  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 916  A*11:01-B*37:01-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 917  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.1401714
 918  A*24-B*56-DRB1*10  Iran pop 4 0.1401855
 919  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 920  A*30-B*49-DRB1*10  Iran pop 4 0.1401855
 921  A*33:03-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 922  A*02:01:01-B*07:02:21-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 923  A*02:01-B*27:05-C*01:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 924  A*02:01-B*27:05-C*04:01-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 925  A*02:01-B*38:01-C*12:03-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 926  A*02:01-B*47:01-C*16:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 927  A*02:01-B*50:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.14001,999
 928  A*02:03:01-B*37:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 929  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 930  A*03:01:01-B*55:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 931  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 932  A*11:01:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 933  A*11:01:01-B*51:06:01-C*03:02:02-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 934  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 935  A*11:01-B*18:01-C*12:03-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 936  A*11:01-B*27:05-C*15:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 937  A*11:01-B*49:01-C*04:01-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 938  A*24:02:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 939  A*24:02:01-B*27:07:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 940  A*24:02:01-B*52:01:02-C*07:02:01-DRB1*10:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 941  A*24:02:01-B*55:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 942  A*24:02:01-B*55:01:01-C*12:03:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 943  A*24:02:01-B*58:01:01-C*04:01:01-DRB1*10:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 944  A*26:01:01-B*15:18:01-C*16:02:01-DRB1*10:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 945  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 946  A*29:01-B*07:05-DRB1*10:01  Israel USA Jews 0.14006,058
 947  A*30:02-B*35:01-C*07:02-DRB1*10:01-DQB1*02:01  Italy pop 5 0.1400975
 948  A*32:01:01-B*37:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 949  A*32:01-B*35:01-C*12:03-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 950  A*33:03:01-B*37:01:01-C*07:02:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 951  A*68:01:02-B*15:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 952  A*68:01-B*49:01-C*07:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.14001,999
 953  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.139711,446
 954  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - France minority 0.13901,406
 955  A*03:01-B*51:08-DRB1*10:01  Israel Morocco Jews 0.139036,718
 956  A*25:01-B*18:01-C*12:03-DRB1*10:01  Germany DKMS - Croatia minority 0.13802,057
 957  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.137611,446
 958  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.137211,446
 959  A*11:01-B*52:01-DRB1*10:01  Israel Arab pop 2 0.137012,301
 960  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.13612,403
 961  A*02:01-B*35:01-DRB1*10:01  Israel Bukhara Jews 0.13602,317
 962  A*01:01-B*37:01-DRB1*10:01  Israel Ethiopia Jews 0.13505,928
 963  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.134511,446
 964  A*68-B*45-DRB1*10-DQB1*05  Mexico Mexico City North 0.1328751
 965  A*01:01-B*41:01-DRB1*10:01  Israel Tunisia Jews 0.13209,070
 966  A*02:01-B*51:01-C*16:02-DRB1*10:01  Germany DKMS - Greece minority 0.13201,894
 967  A*11:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.13201,282
 968  A*29:02-B*13:02-C*16:04-DRB1*10:01  Germany DKMS - Greece minority 0.13201,894
 969  A*02:01-B*45:01-C*16:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.13102,411
 970  A*02:02-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.13102,411
 971  A*03:01-B*15:10-C*03:04-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.13102,411
 972  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.13102,411
 973  A*36:01-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.13102,411
 974  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 975  B*51:01-DRB1*10:01  Italy pop 5 0.1300975
 976  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.129728,927
 977  A*02:01-B*35:03-C*04:01-DRB1*10:01  Germany DKMS - Portugal minority 0.12801,176
 978  A*24:02-B*45:01-C*16:01-DRB1*10:01  Germany DKMS - Portugal minority 0.12801,176
 979  A*68-B*49-DRB1*10-DQB1*05  Ecuador Mixed Ancestry 0.12791,173
 980  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.12722,403
 981  A*24:17-B*49:01-DRB1*10:01  Israel YemenJews 0.126015,542
 982  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.125470,890
 983  A*01-B*41-DRB1*10-DQB1*05  Mexico Puebla, Puebla city 0.12531,994
 984  A*02-B*35-DRB1*10-DQB1*05  Mexico Puebla, Puebla city 0.12531,994
 985  A*01-B*37-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 986  A*01-B*41-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 987  A*02-B*35-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 988  A*03-B*07-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 989  A*24:02-B*51:08-DRB1*10:01  Israel Morocco Jews 0.125036,718
 990  A*26-B*58-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 991  A*30-B*57-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 992  A*01:01-B*55:01-DRB1*10:01  Israel Kavkazi Jews 0.12402,840
 993  A*24:02-B*45:01-DRB1*10:01  Israel Tunisia Jews 0.12409,070
 994  A*02:05-B*53:01-DRB1*10:01  Israel YemenJews 0.122015,542
 995  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.12185,849
 996  A*01-B*57-DRB1*10-DQB1*05  Ecuador Andes Mixed Ancestry 0.1214824
 997  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.120911,446
 998  A*01-B*07-DRB1*10  Albania pop 2 0.1200432
 999  A*01-B*13-DRB1*10  Albania pop 2 0.1200432
 1,000  A*02-B*07-DRB1*10  Albania pop 2 0.1200432

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 5,074) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  


   

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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