Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 901 to 1,000 (from 14,221) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 143  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*11:01:01-B*27:05:02-C*01:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.008523,595
 902  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.006823,595
 903  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.000832523,595
 904  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.040723,595
 905  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.000613923,595
 906  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.001923,595
 907  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002423,595
 908  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:01:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00485,266
 909  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00605,266
 910  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004723,595
 911  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.05771,734
 912  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.005223,595
 913  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.001723,595
 914  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.009323,595
 915  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.006323,595
 916  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*08:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00905,266
 917  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002223,595
 918  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 919  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002423,595
 920  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 921  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002723,595
 922  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.015223,595
 923  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*13:03:01-DQB1*06:03:01  Poland BMR 0.002123,595
 924  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 925  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008223,595
 926  A*11:01:01-B*27:05:02-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.025223,595
 927  A*11:01:01-B*27:05:02-C*03:03:01-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 928  A*11:01:01-B*27:05:02-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004123,595
 929  A*11:01:01-B*27:05:02-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 930  A*11:01:01-B*27:05:02-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001823,595
 931  A*11:01:01-B*27:06:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 932  A*11:01:01-B*27:06-C*03:04:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 933  A*11:01:01-B*27:06-C*03:04:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03785,266
 934  A*11:01:01-B*27:06-C*03:04:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01525,266
 935  A*11:01:01-B*27:06-C*03:04:01-DRB1*14:05:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 936  A*11:01:01-B*27:06-C*03:04:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 937  A*11:01:01-B*27:07:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.05771,734
 938  A*11:01:01-B*27:07:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 939  A*11:01:01-B*27:07:01-C*15:02:01-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.02615,266
 940  A*11:01:01-B*27:10-C*15:11-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 941  A*11:01:01-B*35:01:01  China Jingpo Minority 0.9900105
 942  A*11:01:01-B*35:01:01-C*01:02:01-DRB1*13:01:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 943  A*11:01:01-B*35:01:01-C*01:02:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00595,266
 944  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 945  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*04:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00495,266
 946  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04235,266
 947  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00735,266
 948  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 949  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002323,595
 950  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01505,266
 951  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.05771,734
 952  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 953  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04115,266
 954  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02435,266
 955  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 956  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05771,734
 957  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01025,266
 958  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.03981,734
 959  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01525,266
 960  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02525,266
 961  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.14421,734
 962  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 963  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*14:54:01-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 964  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03625,266
 965  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06455,266
 966  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01545,266
 967  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.03031,734
 968  A*11:01:01-B*35:01:01-C*03:04:01  China Jingpo Minority 0.9900105
 969  A*11:01:01-B*35:01:01-C*03:04:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 970  A*11:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.1335519
 971  A*11:01:01-B*35:01:01-C*04:01:01  South African Indian population 1.000050
 972  A*11:01:01-B*35:01:01-C*04:01:01:05-DRB1*04:05:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 973  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Iran Baloch 1.1000100
 974  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Nicaragua Mestizo (G) 0.6452155
 975  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01405,266
 976  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04755,266
 977  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 978  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 1.3072153
 979  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*09:01  Russia Belgorod region 0.3268153
 980  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.059023,595
 981  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.028323,595
 982  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.045123,595
 983  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.023023,595
 984  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.016623,595
 985  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:19:01  Poland BMR 0.002123,595
 986  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.008523,595
 987  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1790356
 988  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.486023,595
 989  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 990  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 991  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.037623,595
 992  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.018223,595
 993  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:04:01  Poland BMR 0.004223,595
 994  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.002123,595
 995  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 996  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:03-DQB1*03:02:01  Poland BMR 0.002123,595
 997  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:03-DQB1*05:01:01  Poland BMR 0.004823,595
 998  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.021123,595
 999  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 1,000  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.012723,595

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 14,221) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 143  


   

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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