A linear mixed model approach to gene expression-tumor aneuploidy association studies.

ABSTRACT: Aneuploidy, defined as abnormal chromosome number or somatic DNA copy number, is a characteristic of many aggressive tumors and is thought to drive tumorigenesis. Gene expression-aneuploidy association studies have previously been conducted to explore cellular mechanisms associated with aneuploidy. However, in an observational setting, gene expression is influenced by many factors that can act as confounders between gene expression and aneuploidy, leading to spurious correlations between the two variables. These factors include known confounders such as sample purity or batch effect, as well as gene co-regulation which induces correlations between the expression of causal genes and non-causal genes. We use a linear mixed-effects model (LMM) to account for confounding effects of tumor purit

SUBMITTER: Yao DW 

PROVIDER: S-EPMC6697733 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature