Tobias Guennel

TL;DR: The generation and analysis of exon-level transcriptome and associated genotyping data, representing males and females of different ethnicities, from multiple brain regions and neocortical areas of developing and adult post-mortem human brains, finds that 86 per cent of the genes analysed were expressed, and that 90 per cent were differentially regulated at the whole-transcript or exon level acrossbrain regions and/or time.

TL;DR: A new moment‐based approximation that performs well in simulations is developed that possesses most of the aforementioned characteristics of a good association test, especially when compared to existing quadratic score tests or restricted likelihood ratio tests.

TL;DR: A novel combination of elastic net followed by a maximal χ2 and semiparametric bootstrap provides for incorporation of business-specific needs, such as confining the search space to a subgroup size that is commercially viable, ultimately resulting in actionable information for use in empirically based decision making.

TL;DR: Simulation studies show that the proposed approach to estimate heritability in the context of pharmacogenetic studies has clear utility, especially in candidate gene settings, and provides novel supplementary information that can be used to inform decision-making in the pharmaceutical industry.

TL;DR: The results indicate that further high-throughput methylation studies to more fully characterize molecular events involved in hepatocarcinogenesis are warranted.