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 3,734) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 38  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*33:03-B*56:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 902  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 903  A*33:03-B*57:01-C*06:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 904  A*33:03-B*57:01-C*12:02-DRB1*11:01-DQA1*05:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 905  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 906  A*33:03-B*58:01-C*03:02-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 907  A*33:03-B*58:01-C*03:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 908  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 909  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 910  A*33:03-B*58:01-C*03:02-DRB1*11:01-DQA1*05:01-DQB1*02:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 911  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 912  A*33:03-B*58:01-C*03:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 913  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*16:01  Sri Lanka Colombo 0.0700714
 914  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 915  A*33:03-B*58:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 916  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 917  A*33:03-B*08:01  USA African American pop 4 0.07002,411
 918  A*33:03-B*15:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 919  A*33:03-B*15:25  USA Asian pop 2 0.07001,772
 920  A*33:03-B*35:01-C*03:03-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 921  A*33:03-B*35:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 922  A*33:03-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 923  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:02  Japan pop 17 0.07003,078
 924  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 925  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*06:01  Japan pop 17 0.07003,078
 926  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 927  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 928  A*33:03-B*44:03-C*14:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 929  A*33:03-B*44:03-C*14:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 930  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06935,266
 931  A*33:03-B*44:03-C*07:06-DRB1*12:02-DQB1*03:01  India East UCBB 0.06912,403
 932  A*33:03-B*44:03-C*07:06-DRB1*03:01-DQB1*02:01  India South UCBB 0.068611,446
 933  A*33:03-B*51:01-C*16:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.06855,829
 934  A*33:03-B*14:02-C*08:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 935  A*33:03-B*58:01-C*07:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.06841,463
 936  A*33:03-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06822,492
 937  A*33:03-B*07:02  USA Asian pop 2 0.06801,772
 938  A*33:03-B*14:02  USA African American pop 4 0.06802,411
 939  A*33:03-B*44:03-C*14:03-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.06801,772
 940  A*33:03-B*44:03-C*14:03-DRB1*14:54  Japan pop 16 0.068018,604
 941  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.06805,829
 942  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India North UCBB 0.06785,849
 943  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.06711,734
 944  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.06715,849
 945  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.06662,492
 946  A*33:03-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.06664,204
 947  A*33:03-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.06632,492
 948  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 949  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 950  A*33:03-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06614,204
 951  A*33:03-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.06601,282
 952  A*33:03-B*58:01-C*03:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.06604,856
 953  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP African American pop 2 0.0656416,581
 954  A*33:03-B*35:03-C*04:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.06512,403
 955  A*33:03-B*44:03-C*14:03-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.06501,772
 956  A*33:03-B*37:01  USA African American pop 4 0.06402,411
 957  A*33:03-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.06402,403
 958  A*33:03-B*52:01  USA Hispanic pop 2 0.06401,999
 959  A*33:03:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06385,266
 960  A*33:03-B*35:01-C*04:01-DRB1*07:01-DQB1*03:03  India East UCBB 0.06382,403
 961  A*33:03-B*40:01-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.06377,595
 962  A*33:03-B*15:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.06363,892
 963  A*33:03-B*58:01-C*03:02-DRB1*04:03  Hong Kong Chinese BMDR 0.06337,595
 964  A*33:03-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.06301,772
 965  A*33:03-B*13:01-C*04:03-DRB1*07:01-DQB1*02:02  India East UCBB 0.06272,403
 966  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.06242,403
 967  A*33:03-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India East UCBB 0.06242,403
 968  A*33:03-B*44:03-C*07:06-DRB1*15:06-DQB1*05:02  India East UCBB 0.06242,403
 969  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.06234,204
 970  A*33:03-B*58:01-C*03:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.06222,403
 971  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.06204,856
 972  A*33:03-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.06202,492
 973  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06182,492
 974  A*33:03-B*44:03-DRB1*15:01  Hong Kong Chinese cord blood registry 0.06173,892
 975  A*33:03-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.061711,446
 976  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.061611,446
 977  A*33:03-B*13:01-C*03:04-DRB1*15:01  Hong Kong Chinese BMDR 0.06147,595
 978  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06125,266
 979  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.061011,446
 980  A*33:03-B*13:02  USA African American pop 4 0.06102,411
 981  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.06105,829
 982  A*33:03-B*44:03-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.06082,492
 983  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06062,492
 984  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India North UCBB 0.06065,849
 985  A*33:03-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06022,492
 986  A*33:03-B*58:01-C*03:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.060111,446
 987  A*33:03-B*35:03-C*04:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.059711,446
 988  A*33:03-B*58:01-C*03:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.05935,829
 989  A*33:03-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.059211,446
 990  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.059123,595
 991  A*33:03-B*53:01-C*04:01-DRB1*08:04-DRBX*NNNN-DQB1*03:01  USA NMDP Hispanic South or Central American 0.0590146,714
 992  A*33:03-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.05862,403
 993  A*33:03-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.05862,403
 994  A*33:03-B*07:05  USA African American pop 4 0.05802,411
 995  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.05804,204
 996  A*33:03:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.05771,734
 997  A*33:03:01-B*15:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.05771,734
 998  A*33:03:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.05771,734
 999  A*33:03:01-B*40:01:02-C*04:03:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 1,000  A*33:03:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.05771,734

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 3,734) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 38  


   

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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