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PopPAnTe: population and pedigree association testing for quantitative data.

Alessia ViscontiMashael Al-ShafaiWadha A Al MuftahShaza B ZaghloolMassimo ManginoKarsten SuhreMario Falchi
Published in: BMC genomics (2017)
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.
Keyphrases
  • genome wide
  • electronic health record
  • big data
  • dna methylation
  • health information
  • healthcare
  • gene expression
  • high resolution
  • machine learning
  • mass spectrometry
  • deep learning
  • artificial intelligence