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Royal Liverpool University Hospital & University of Liverpool

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Presentation on theme: "Royal Liverpool University Hospital & University of Liverpool"— Presentation transcript:

1 Royal Liverpool University Hospital & University of Liverpool
ALLELE FREQUENCIES.NET DATABASE (AFND) TO SUPPORT H&I Derek Middleton Royal Liverpool University Hospital & University of Liverpool

2 DATABASE POPULATIONS 1/5/2016
Polymorphic Region Population Studies Gene/Allele Data Haplotype Data Genotype Data HLA 1050 1035 426 - KIR 238 237 154 Cytokine 121 MIC 62 21 Totals 1,471 1,455 447

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14 IMGT/HLA alleles 7,527 alleles Release April 2012

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16 RARE ALLELE SEARCH

17 INFORMATION PROVIDED BY INDIVIDUAL LAB ON RARE ALLELE

18 HISTOGRAMS OF FINDING OF HLA ALLELES

19 Rare HLA alleles detector (RHAD)

20 Study of Rare & Novel HLA Alleles by NGS HLA
. Study of Rare & Novel HLA Alleles by NGS HLA Non-CWD based on Mack et al to confirm and further characterize these alleles in multiple populations and when possible determine their haplotype association. The subjects and families should be previously HLA typed at any level (serology, DNA). Investigators may submit Samples NGS data Family members

21 KIR GENE, ALLELE FREQUENCIES

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23 KIR GENOTYPES

24 GENOTYPES FOUND IN ONLY ONE POPULATION (n=166)
Number of Pops Number of Genotypes 1 12 2 11 9 7 3 6 5 4 20 150 genotypes found in only 1 individual genotype in 4 individuals 12 genotypes in 2 individuals genotype in 5 individuals 2 genotype in 3 individuals

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26 KDDB query page

27 KDDB query page

28 CRITERIA FOR DEFINING GOLD,SILVER,BRONZE DATASETS
Gold standard Silver standard Bronze standard Allele frequency Allele frequencies sum to 1 (± 0.015)  Allele frequencies sum to 1 (± 0.015) Any that do not match to gold and silver criteria Allele name resolution All allele names are at least two fields long. Allele name lengths are mixed between one field and two or more fields long. Sample size ≥50 individuals Any

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30 Number of alleles, datasets and individuals (by 10x4) by loci in Gold standard datasets
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32 STANDARDISED Reporting of Genotyping Results
The HLA community focuses on allele names, often to the exclusion of the primary data. No/little information is available about intron/exons interrogated, primer sequences, or informatics. Reference database versioning is poorly documented. An HLA genotype that represented a unique diploid sequence under one database release might represent multiple diploid sequences in later releases, as new polymorphism is identified in other regions of the gene. The result is that genotyping results are static, and cannot easily be re-evaluated in the context of reference database updates. The equivalence of genotyping results generated using different references or different platforms cannot easily be determined. We’re left throwing out a lot of data

33 HUMAN IMMUNOLOGY/AFND
Short Population Reports: HLA; KIR; MIC; Cytokine Demographic information Typing methods/Kits; alleles able to be detected Raw/individual ambiguous genotype data Data after ambiguity resolution (and how) Analysis H-W; allele frequencies; estimation of haplotype frequencies

34 CHECKING OF DATA Data automatically checked for errors:
correct nomenclature reported ambiguities resolved frequencies reported complete and consistent with data Tool will immediately highlight to the User any problems Once validated, one click to send data to AFND

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39 Look at donor registries - practical

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41 HLA−A and −B Epitope Frequencies in World Populations
Epitope Frequencies were obtained from raw genotyping data

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43 Human Immunology, 2016, 77, Issue 3
Special Issue: Histocompatibility and Immunogenetics Data Resources Allele Frequencies Net Database: Improvements for storage of individual genotypes and analysis of existing data 238-48 ACKNOWLEDGEMENTS Eduardo dos Santos, Tony McCabe, Andy Jones, James Jones Faviel F. Gonzalez-Galarza Steve Mack, Alicia Sanchez-Mazas


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