Strategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the Challenges

Publikation: Forskning - peer reviewTidsskriftartikel

Dokumenter

  • Louise Bruun Thingholm
    Louise Bruun ThingholmDanmark
  • Lars Andersen
    Lars AndersenDept. of Clinical Genetics, Odense University Hospital.Danmark
  • Enes Makalic
    Enes MakalicCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia.Australien
  • Melissa C. Southey
    Melissa C. SoutheyCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia.Australien
  • Mads Thomassen
    Mads ThomassenDept. of Clinical Genetics, Odense University Hospital.Danmark
  • Lise Lotte Hansen
The development and progression of cancer, a collection of diseases with complex genetic architectures, is facilitated by the interplay of multiple etiological factors. This complexity challenges the traditional single-platform study design and calls for an integrated approach to data analysis. However, integration of heterogeneous measurements of biological variation is a non-trivial exercise due to the diversity of the human genome and the variety of output data formats and genome coverage obtained from the commonly used molecular platforms. This review article will provide an introduction to integration strategies used for analyzing genetic risk factors for cancer. We critically examine the ability of these strategies to handle the complexity of the human genome and also accommodate information about the biological and functional interactions between the elements that have been measured—making the assessment of disease risk against a composite genomic factor possible. The focus of this review is to provide an overview and introduction to the main strategies and to discuss where there is a need for further development.
OriginalsprogEngelsk
TidsskriftFrontiers in Genetics
Vol/bind7
Sider (fra-til)1-13
Antal sider13
ISSN1664-8021
StatusUdgivet - 1 feb. 2016

    Forskningsområder

  • integratedanalysis,arraydata,massiveparallelsequencing(MPS),DNAmethylation,geneexpression

Se relationer på Aarhus Universitet Citationsformater

Download-statistik

Ingen data tilgængelig

ID: 96608394