The focus of my research is to understand how individual genetic variation is related to the prevalence of complex traits and disease within populations. Using multi-omic datasets and causal inference methods, I am particularly interested in the role of the plasma proteome in mediating gene expression signalling between tissues and how this relates to mechanisms of disease.
At UiB, I work on the NFR funded project; Intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases (INTRePID). In this project we aim to create computer methods for risk prediction and diagnosis of non-communicable diseases using multi-omics data, by developing, implementing and validating novel algorithms for structure learning and inference in large-scale, multi-organ causal Bayesian gene networks with applications in cardiovascular medicine.
- (2023). Plasma cortisol linked gene networks in hepatic and adipose tissues implicate corticosteroid binding globulin in modulating tissue glucocorticoid action and cardiovascular risk. Frontiers in Endocrinology.
- (2022). eQTLs as causal instruments for the reconstruction of hormone linked gene networks. Frontiers in Endocrinology.