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 4,596) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*23:01-B*52:01-C*12:02-DRB1*11:01  Italy pop 5 0.1000975
 902  A*24:02-B*52:01-C*06:02-DRB1*04:04  Italy pop 5 0.1000975
 903  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 904  A*24:02-B*52:01-C*12:02-DRB1*11:01  Italy pop 5 0.1000975
 905  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.10003,078
 906  A*26:01-B*52:01-DRB1*15:02  Israel Ashkenazi Jews pop 3 0.10004,625
 907  A*32:01-B*52:01-C*12:02-DRB1*14:04  Italy pop 5 0.1000975
 908  A*33:01-B*52:01-C*12:02-DRB1*04:05  Italy pop 5 0.1000975
 909  A*32:01-B*52:01-DRB1*15:02  Israel Arab pop 2 0.099612,301
 910  A*02:01-B*52:01-C*12:02-DRB1*10:01  Hong Kong Chinese BMDR 0.09947,595
 911  A*11:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 912  A*33:03-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.099018,604
 913  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.09845,829
 914  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - China minority 0.09801,282
 915  A*11:01-B*52:01-C*12:02-DRB1*15:19  Germany DKMS - China minority 0.09801,282
 916  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.09794,204
 917  A*02:11-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 918  A*11:01-B*52:01-C*12:02-DRB1*08:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 919  A*24:02-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 920  A*26:01-B*52:01-DRB1*15:02  Israel Morocco Jews 0.096636,718
 921  A*11:01-B*52:01-DRB1*11:01  Israel Arab pop 2 0.096512,301
 922  A*24:03:01-B*52:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.0963519
 923  A*31:01:02-B*52:01:02-C*16:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 924  A*02:17-B*52:01-DRB1*15:02  Israel Iraq Jews 0.095813,270
 925  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.09552,492
 926  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.09535,849
 927  A*11:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.09512,403
 928  A*29:01-B*52:01-DRB1*11:04  Israel USSR Jews 0.094645,681
 929  A*02:06-B*52:01-C*03:03-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 930  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.09401,999
 931  A*68:01-B*52:01-C*03:04-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 932  A*01:01-B*52:01-DRB1*07:01  Israel Iraq Jews 0.093813,270
 933  A*01:01-B*52:01-C*12:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  United Arab Emirates Pop 1 0.0935570
 934  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.0935570
 935  A*11:01-B*52:01-C*12:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0935570
 936  A*24:02-B*52:01-C*12:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.0935570
 937  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0935570
 938  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*04:01  United Arab Emirates Pop 1 0.0935570
 939  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*04:01  United Arab Emirates Pop 1 0.0935570
 940  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*26:01  United Arab Emirates Pop 1 0.0935570
 941  A*68:01-B*52:01-C*12:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0935570
 942  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*04:01  United Arab Emirates Pop 1 0.0935570
 943  A*02:01-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*14:01  United Arab Emirates Pop 1 0.0934570
 944  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.09265,849
 945  A*68:02-B*52:01  USA African American pop 4 0.09202,411
 946  A*24:02-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.09082,403
 947  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.09015,849
 948  A*03:01-B*52:01-C*12:02-DRB1*11:04  Germany DKMS - Spain minority 0.09001,107
 949  A*30:01-B*52:01-C*06:02  Italy pop 5 0.0900975
 950  A*30:02-B*52:01-C*12:02  Italy pop 5 0.0900975
 951  A*68:01-B*52:01-C*07:02-DRB1*11:01  Germany DKMS - Spain minority 0.09001,107
 952  A*11:01-B*52:01-DRB1*10:01  Hong Kong Chinese cord blood registry 0.08953,892
 953  A*24:02-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.089211,446
 954  A*01:01:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.089128,927
 955  A*01:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.08901,772
 956  A*11:01-B*52:01-C*12:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 957  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 958  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 959  A*24:02-B*52:01-C*12:02-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.08901,772
 960  A*24:02-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.08901,772
 961  A*26:01-B*52:01-C*07:02-DRB1*04:05-DQB1*03:02  USA Asian pop 2 0.08901,772
 962  A*26:03-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.089018,604
 963  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.08901,772
 964  A*68:01-B*52:01-C*12:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 965  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.08901,772
 966  A*69:01-B*52:01-C*12:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 967  A*03:01:01-B*52:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.0886519
 968  A*26:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.08831,510
 969  A*02:06-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.08784,204
 970  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Belgium 0.087331,412
 971  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA African American pop 4 0.08702,411
 972  A*02:01-B*52:01-C*16:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.08702,411
 973  A*34:02-B*52:01-C*16:01-DRB1*13:01-DQB1*05:01  USA African American pop 4 0.08702,411
 974  A*68:02-B*52:01-C*16:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.08702,411
 975  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*04:01:01-DQB1*03:02:01  China Zhejiang Han 0.08651,734
 976  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.08651,734
 977  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.08654,204
 978  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 979  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 980  A*24:02-B*52:01-DRB1*07:01  Israel Tunisia Jews 0.08649,070
 981  A*01:17-B*52:01-DRB1*15:02  Israel YemenJews 0.086115,542
 982  A*01:36-B*52:01-DRB1*15:02  Israel YemenJews 0.086115,542
 983  A*01:01-B*52:01-C*12:02-DRB1*11:03-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 984  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.08601,159
 985  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  Germany DKMS - Italy minority 0.08601,159
 986  A*11:01-B*52:01-C*12:02-DRB1*15:02  Hong Kong Chinese BMDR 0.08607,595
 987  A*69:01-B*52:01-C*12:02-DRB1*12:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 988  A*03:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.08565,829
 989  A*11:01-B*52:01-DRB1*15:02  Hong Kong Chinese cord blood registry 0.08533,892
 990  A*11:01-B*52:01-DRB1*04:04  Israel USA Jews 0.08526,058
 991  A*69:01-B*52:01  USA Asian pop 2 0.08501,772
 992  A*03:02-B*52:01-DRB1*15:02  Israel Morocco Jews 0.084936,718
 993  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.084911,446
 994  A*24:07-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.08472,492
 995  A*23:01-B*52:01-DRB1*15:02  Israel Druze 0.08475,914
 996  A*32:01-B*52:01-DRB1*13:02  Israel Morocco Jews 0.084336,718
 997  A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.08422,403
 998  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.08401,463
 999  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.083911,446
 1,000  A*29:01-B*52:01-DRB1*11:04  Israel USA Jews 0.08386,058

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 901 to 1,000 (from 4,596) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  


   

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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