HLA > Allele Frequency Search > Classical

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Locus:  Starting Allele:  Ending Allele:  > (Type your allele e.g. A*01:01, etc. or leave both empty to include all alleles)
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Population standard: Gold only Gold and Silver All Show frequencies: All Only positives Only negatives
Displaying 1 to 50 (from 50) records   Pages: 1 of 1  

Line Allele Population % of individuals
that have the allele
Distribution² Haplotype³
 1   DQA1*01:01  India Bombay  0.178059See
 2   DQA1*01:01  India Lucknow 6.7 0.0330123See
 3   DQA1*01:01  India North pop 2  0.188072See
 4   DQA1*01:01  India Northeast Kayastha  0.0760190See
 5   DQA1*01:01  India Northeast Lachung  0.077058See
 6   DQA1*01:01  India Northeast Mathur  0.0480155See
 7   DQA1*01:01  India Northeast Mech  0.087063See
 8   DQA1*01:01  India Northeast Rajbanshi  0.061098See
 9   DQA1*01:01  India Northeast Rastogi  0.0740196See
 10   DQA1*01:01  India Northeast Shia  0.1600190See
 11   DQA1*01:01  India Northeast Sunni  0.0930188See
 12   DQA1*01:01  India Northeast Vaish  0.0480198See
 13   DQA1*01:01  India Uttar Pradesh  0.0320202See
 14   DQA1*01:02  India Bombay  0.127059See
 15   DQA1*01:02  India Lucknow 23.3 0.1200123See
 16   DQA1*01:02  India North pop 2  0.146072See
 17   DQA1*01:02  India Northeast Kayastha  0.0920190See
 18   DQA1*01:02  India Northeast Lachung  0.155058See
 19   DQA1*01:02  India Northeast Mathur  0.1360155See
 20   DQA1*01:02  India Northeast Mech  0.135063See
 21   DQA1*01:02  India Northeast Rajbanshi  0.133098See
 22   DQA1*01:02  India Northeast Rastogi  0.0970196See
 23   DQA1*01:02  India Northeast Shia  0.0290190See
 24   DQA1*01:02  India Northeast Sunni  0.0790188See
 25   DQA1*01:02  India Northeast Vaish  0.1560198See
 26   DQA1*01:02  India Uttar Pradesh  0.1530202See
 27   DQA1*01:03  India Bombay  0.271059See
 28   DQA1*01:03  India Lucknow 27.5 0.1380123See
 29   DQA1*01:03  India North pop 2  0.174072See
 30   DQA1*01:03  India Northeast Kayastha  0.1600190See
 31   DQA1*01:03  India Northeast Lachung  0.095058See
 32   DQA1*01:03  India Northeast Mathur  0.1520155See
 33   DQA1*01:03  India Northeast Mech  0.119063See
 34   DQA1*01:03  India Northeast Rajbanshi  0.081098See
 35   DQA1*01:03  India Northeast Rastogi  0.1480196See
 36   DQA1*01:03  India Northeast Shia  0.1470190See
 37   DQA1*01:03  India Northeast Sunni  0.1250188See
 38   DQA1*01:03  India Northeast Vaish  0.1110198See
 39   DQA1*01:03  India Uttar Pradesh  0.1380202See
 40   DQA1*01:04  India Lucknow 31.7 0.1690123See
 41   DQA1*01:04  India Northeast Kayastha  0.0460190See
 42   DQA1*01:04  India Northeast Lachung  0.017058See
 43   DQA1*01:04  India Northeast Mathur  0.1360155See
 44   DQA1*01:04  India Northeast Mech  0.024063See
 45   DQA1*01:04  India Northeast Rajbanshi  0.077098See
 46   DQA1*01:04  India Northeast Rastogi  0.1020196See
 47   DQA1*01:04  India Northeast Shia  0.0550190See
 48   DQA1*01:04  India Northeast Sunni  0.1030188See
 49   DQA1*01:04  India Northeast Vaish  0.1520198See
 50   DQA1*01:04  India Uttar Pradesh  0.1410202See


* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
   Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
* Allele Frequencies shown in green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
   AF = 1-square_root(1-PF)
   PF = 1-(1-AF)2
   AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding G group.

¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.


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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