Genetic Analysis Workshop 17 mini-exome simulation

Laura Almasy, Thomas D. Dyer, Juan Manuel Peralta, Jack W. Kent, Jac C. Charlesworth, Joanne E. Curran, John Blangero

    Research output: Contribution to journalArticle

    87 Scopus citations

    Abstract

    The data set simulated for Genetic Analysis Workshop 17 was designed to mimic a subset of data that might be produced in a full exome screen for a complex disorder and related risk factors in order to permit workshop participants to investigate issues of study design and statistical genetic analysis. Real sequence data from the 1000 Genomes Project formed the basis for simulating a common disease trait with a prevalence of 30% and three related quantitative risk factors in a sample of 697 unrelated individuals and a second sample of 697 individuals in large, extended pedigrees. Called genotypes for 24,487 autosomal markers assigned to 3,205 genes and simulated affection status, quantitative traits, age, sex, pedigree relationships, and cigarette smoking were provided to workshop participants. The simulating model included both common and rare variants with minor allele frequencies ranging from 0.07% to 25.8% and a wide range of effect sizes for these variants. Genotype-smoking interaction effects were included for variants in one gene. Functional variants were concentrated in genes selected from specific biological pathways and were selected on the basis of the predicted deleteriousness of the coding change. For each sample, unrelated individuals and family, 200 replicates of the phenotypes were simulated.

    Original languageEnglish (US)
    Article numberS2
    JournalBMC Proceedings
    Volume5
    Issue numberSUPPL. 9
    DOIs
    StatePublished - Dec 1 2011

    ASJC Scopus subject areas

    • Biochemistry, Genetics and Molecular Biology(all)

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    Almasy, L., Dyer, T. D., Peralta, J. M., Kent, J. W., Charlesworth, J. C., Curran, J. E., & Blangero, J. (2011). Genetic Analysis Workshop 17 mini-exome simulation. BMC Proceedings, 5(SUPPL. 9), [S2]. https://doi.org/10.1186/1753-6561-5-S9-S2