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 4,129) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 902  A*25:01-B*38:01-C*01:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 903  A*26:01:01-B*35:03:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 904  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 905  A*26:01-B*44:02-C*05:01-DRB1*11:01-DQB1*06:03  Italy pop 5 0.1400975
 906  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 907  A*31:01:02-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 908  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 909  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 910  A*31:01:02-B*51:01:05-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 911  A*31:01:02-B*55:01:01-C*01:02:01-DRB1*03:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 912  A*31:01:02-B*55:01:01-C*01:02:01-DRB1*13:01:03-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 913  A*31:01-B*51:01-C*07:18-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 914  A*31:01-B*51:01-C*15:03-DRB1*07:01-DQB1*06:03  Italy pop 5 0.1400975
 915  A*32:01:01-B*13:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 916  A*32:01-B*50:01-C*02:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 917  A*32:01-B*51:01-C*04:01-DRB1*01:01-DQB1*06:03  Italy pop 5 0.1400975
 918  A*32:01-B*51:01-C*05:01-DRB1*11:01-DQB1*06:03  Italy pop 5 0.1400975
 919  A*33:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 920  A*33:65-B*07:06:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 921  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 922  A*68:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 923  A*68:01-B*44:03-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 924  DRB1*14:01-DQB1*06:03  Italy pop 5 0.1400975
 925  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.13931,510
 926  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  USA NMDP Black South or Central American 0.13924,889
 927  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.13912,403
 928  DRB1*11:04-DQB1*06:03  USA Hispanic pop 2 0.13901,999
 929  DQA1*01:03-DQB1*06:03-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.13861,064
 930  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.13782,492
 931  A*26:01-B*08:01-C*07:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.13755,849
 932  A*02:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 933  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 934  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 935  A*29:02-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 936  A*32:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 937  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.13694,204
 938  A*02:01-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.13671,463
 939  A*02:01-B*51:01-C*07:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.13671,463
 940  A*24-B*15-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.1358641
 941  DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.13531,064
 942  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.13532,492
 943  A*11:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03  India South UCBB 0.134311,446
 944  A*33:03-B*44:03-C*07:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.13392,492
 945  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.13301,772
 946  A*11:01-B*08:01-C*07:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.13301,772
 947  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.13301,772
 948  A*24:02-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.13301,772
 949  A*01:01-B*37:01-C*06:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.132611,446
 950  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.13251,510
 951  A*33:01-B*78:01-C*16:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.13102,411
 952  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.13101,075
 953  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.13001,159
 954  A*24:02-B*54:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 955  A*02:05-B*58:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.12901,159
 956  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Germany DKMS - Italy minority 0.12901,159
 957  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.1286221
 958  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Germany DKMS - German donors 0.12793,456,066
 959  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.12695,849
 960  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.12665,829
 961  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.12561,075
 962  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.125028,927
 963  A*03:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.12482,403
 964  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.124623,595
 965  A*02:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.12362,492
 966  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.12331,075
 967  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.12285,829
 968  A*03:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.12042,492
 969  A*68:01-B*15:18-C*07:04-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.12042,492
 970  A*11:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.12022,403
 971  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.12022,403
 972  A*03:01-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.12002,492
 973  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.11985,849
 974  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India East UCBB 0.11982,403
 975  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.119523,595
 976  A*01:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.11922,492
 977  A*02:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.11904,856
 978  A*24:02-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.118611,446
 979  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.118428,927
 980  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.11764,204
 981  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.11732,492
 982  A*24:02-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.11615,829
 983  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.11531,734
 984  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.11525,829
 985  A*03:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.11501,999
 986  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.11365,849
 987  A*31:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.11344,204
 988  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.11291,075
 989  A*02:01-B*51:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.11291,075
 990  A*31:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 991  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 992  A*02:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.11271,510
 993  A*01-B*07-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.1121641
 994  A*33:03-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.11215,829
 995  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.11025,849
 996  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Black South or Central American 0.11014,889
 997  DRB1*11:04-DQA1*01:03-DQB1*06:03  USA European American 0.11001,899
 998  A*01:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.108311,446
 999  A*24:02-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.10801,075
 1,000  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.10762,492

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 4,129) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  


   

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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