• A new statistical method for curve group analysis of longitudinal gene expression data illustrated for breast cancer in the NOWAC postgenome cohort as a proof of principle 

      Lund, Eiliv; Holden, Lars; Bøvelstad, Hege; Plancade, Sandra Caroline; Mode, Nicolle; Günther, Clara-Cecilie; Nuel, Gregory; Thalabard, Jean-Christophe; Holden, Marit (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-03-05)
      <b>Background: </b>The understanding of changes in temporal processes related to human carcinogenesis is limited. One approach for prospective functional genomic studies is to compile trajectories of differential expression of genes, based on measurements from many case-control pairs. We propose a new statistical method that does not assume any parametric shape for the gene trajectories. <br><b>Methods:</b> ...
    • A processual model for functional analyses of carcinogenesis in the prospective cohort design 

      Lund, Eiliv; Plancade, Sandra Caroline; Nuel, Gregory; Bøvelstad, Hege; Thalabard, Jean-Christophe (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-10)
      Traditionally, the prospective design has been chosen for risk factor analyses of lifestyle and cancer using mainly estimation by survival analysis methods. With new technologies, epidemiologists can expand their prospective studies to include functional genomics given either as transcriptomics, mRNA and microRNA, or epigenetics in blood or other biological materials. The novel functional analyses ...
    • Transcriptomic signals in blood prior to lung cancer focusing on time to diagnosis and metastasis 

      Nøst, Therese H.; Holden, Marit; Dønnem, Tom; Bøvelstad, Hege; Rylander, Charlotta; Lund, Eiliv; Sandanger, Torkjel M. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-01)
      Recent studies have indicated that there are functional genomic signals that can be detected in blood years before cancer diagnosis. This study aimed to assess gene expression in prospective blood samples from the Norwegian Women and Cancer cohort focusing on time to lung cancer diagnosis and metastatic cancer using a nested case–control design. We employed several approaches to statistically analyze ...