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المؤلفVisconti, Alessia
المؤلفAl-Shafai, Mashael
المؤلفAl Muftah, Wadha A
المؤلفZaghlool, Shaza B
المؤلفMangino, Massimo
المؤلفSuhre, Karsten
المؤلفFalchi, Mario
تاريخ الإتاحة2017-12-21T11:06:57Z
تاريخ النشر2017-02-01
اسم المنشورBMC Genomics
المعرّفhttp://dx.doi.org/10.1186/s12864-017-3527-7
الاقتباسVisconti et al. PopPAnTe: population and pedigree association testing for quantitative data.. BMC Genomics (2017) 18:150
معرّف المصادر الموحدhttp://hdl.handle.net/10576/6014
الملخصFamily-based designs, from twin studies to isolated populations with their complex genealogical data, are a valuable resource for genetic studies of heritable molecular biomarkers. Existing software for family-based studies have mainly focused on facilitating association between response phenotypes and genetic markers, and no user-friendly tools are at present available to straightforwardly extend association studies in related samples to large datasets of generic quantitative data, as those generated by current -omics technologies. We developed PopPAnTe, a user-friendly Java program, which evaluates the association of quantitative data in related samples. Additionally, PopPAnTe implements data pre and post processing, region based testing, and empirical assessment of associations. PopPAnTe is an integrated and flexible framework for pairwise association testing in related samples with a large number of predictors and response variables. It works either with family data of any size and complexity, or, when the genealogical information is unknown, it uses genetic similarity information between individuals as those inferred from genome-wide genetic data. It can therefore be particularly useful in facilitating usage of biobank data collections from population isolates when extensive genealogical information is missing.
اللغةen
الناشرBioMed Central
الموضوع-omics data
Association studies
Family data
Heritability
Isolated population
Population genetics
العنوانPopPAnTe: population and pedigree association testing for quantitative data.
النوعArticle
رقم المجلد18
ESSN1471-2164


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