The Sazonovs Group: Genomics

Genome-wide association studies have revolutionised our understanding of the aetiology of IBD. However, knowledge of the molecular factors behind how IBD patients experience the condition remains limited.

In the Genomics Group at PREDICT, we leverage the unique, nationwide Danish patient history data alongside large-scale international cohorts to understand susceptibility, presentation, and treatment of IBD. Our goal is to map out the genetic variation behind each IBD patient's disease tapestry: What causes their condition? Why do they experience it mildly or severely? How do genes, in conjunction with the environment, influence downstream molecular factors? We use GWAS and related techniques, as well as statistical and machine learning methods, to understand the complex interplay between these factors and phenomena.

Building upon our expertise in genomics and data science, the group specialises in conducting multi-omic prediction studies using causal and explainable AI methods, coupled with the causal anchor of genetics. We are working towards the timely prediction of IBD and its presentations. In the meantime, we are leveraging the predictive factors we uncover to better understand the underlying biology across the molecular and phenotypic layers.

Dr. Aleksejs Sazonovs, PhD, is an Associate Professor leading the Genomics Group. After studying computer science at the University of St Andrews, he went on to complete a PhD in Mathematical Genomics and Medicine at the University of Cambridge and the Sanger Institute with Dr. Carl Anderson, where he also completed his postdoc. Upon joining PREDICT, he received a generous starter grant from the Novo Nordisk Foundation, which allowed him to hire two talented PhD students. Recently, he was selected as part of the university-wide AAU Excellence talent programme for young researchers.

Author ORCID: 0009-0002-2413-0451