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Statistical Analysis of Lipidomics Data in a Case-Control Study

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Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry

Part of the book series: Frontiers in Probability and the Statistical Sciences ((FROPROSTAS))

Abstract

We investigate variable-dimension modeling to assess effect of lipids in a case-control study. Use of multiple imputation on partially observed or incomplete data is discussed. It is demonstrated how the model allows us to investigate lipid selection and co-selection for association with the case-control outcome. The Leiden Longevity lipid study data is used to illustrate the methods.

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Acknowledgements

This work was supported by funding from the European Community’s Seventh Framework Programme FP7/2011: Marie Curie Initial Training Network MEDIASRES (“Novel Statistical Methodology for Diagnostic/Prognostic and Therapeutic Studies and Systematic Reviews,” www.mediasres-itn.eu) with the Grant Agreement Number 290025 and by funding from the European Union’s Seventh Framework Programme FP7/ Health/F5/2012: MIMOmics (“Methods for Integrated Analysis of Multiple Omics Datasets,” http://www.mimomics.eu) under the Grant Agreement Number 305280. The Leiden Longevity study was supported by the Innovation-Oriented Research Program on Genomics (SenterNovem IGE05007), the Centre for Medical Systems Biology, the Netherlands Consortium for Healthy Ageing (Grant 050-060-810), the Netherlands Metabolomics Centre (NMC) and the Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) all in the framework of the Netherlands Genomics Initiative, the Netherlands Organization for Scientific Research (NWO), and the European Union’s Seventh Framework Program (FP7/2007-2011) under grant agreement No. 259679. This research work was also partially supported by National Institutes of Health grant CA 170091-01A1 (Susmita Datta).

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Authors and Affiliations

  1. Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, 9600, 2300 RC, Leiden, Netherlands

    Bart J. A. Mertens, Marian Beekman & Hae-Won Uh

  2. Department of Biostatistics, University of Florida, Gainesville, FL, USA

    Susmita Datta (Professor)

  3. Faculty of Science, Leiden Academic Centre for Drug Research, Analytical BioSciences, Leiden, Netherlands

    Thomas Hankemeier

Authors
  1. Bart J. A. Mertens
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  2. Susmita Datta
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  3. Thomas Hankemeier
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  4. Marian Beekman
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  5. Hae-Won Uh
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Corresponding author

Correspondence to Bart J. A. Mertens .

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Editors and Affiliations

  1. Department of Biostatistics, University of Florida, Gainesville, Florida, USA

    Susmita Datta

  2. Department of Medical Statistics and Bioinformatics, Leiden University Medical Centre, RC Leiden, The Netherlands

    Bart J. A. Mertens

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Mertens, B.J.A., Datta, S., Hankemeier, T., Beekman, M., Uh, HW. (2017). Statistical Analysis of Lipidomics Data in a Case-Control Study. In: Datta, S., Mertens, B. (eds) Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Frontiers in Probability and the Statistical Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-45809-0_15

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