Completed Genetics & Molecular Biology Cells, Biochemistry & Physiology

Medical and Regulatory Genomics

In plain English

AI plain-English summary

Every person carries millions of tiny differences in their DNA, but scientists cannot yet tell which of those differences actually matter for health or disease. This research group studies the fundamental biology of gene regulation—how and why genes are turned on and off in different cells at different times. They use computational methods to analyse datasets that measure the activity of thousands of genes at once. The problem is that human genomes vary at millions of DNA sites between individuals, and most of those variants have unknown effects. Without understanding which variants disrupt normal gene regulation, doctors cannot predict whether a particular DNA change raises a person's risk of cancer, a developmental disorder, or other diseases where gene regulation goes wrong. The group aims to build predictive models that forecast the effects of genetic variants in health and disease. If successful, this work could improve how clinicians interpret individual genomes, making genetic testing more informative for patients. This is primarily fundamental science—it advances understanding of how genomes work, rather than delivering an immediate medical tool. But similar fundamental research into gene regulation has already transformed how we understand cancer and embryonic development, and deeper knowledge here could eventually underpin more precise diagnostics and personalised medicine.

View original technical description
The genes embedded in your genome have complex patterns of activity and particular constellations of genes must be active in particular cells and at particular times for biological processes, such as embryonic development, to conclude successfully. Our group is interested in the fundamental biology of gene regulation: when, how and why genes are turned on and off. We advance understand of the mechanisms underlying gene regulation, using computational analyses of datasets measuring the activities of many thousands of genes. This can provide new insights into human evolution itself, and also helps us to interpret disease processes with disrupted regulation, such as cancers and developmental disorders. Human genomes vary at millions of DNA sites between individuals, but often we do not know which variants matter most to our biology. Ultimately we want to develop predictive models, based upon our knowledge of gene regulation, that help us to forecast the effects of variants in health and disease.

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Researchers

Colin Semple (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Using phased multi-omic techniques to understand the regulatory landscape of the genome
Gene regulation in health and disease
Using DNA sequence evolution to locate gene regulatory elements
Combining live imaging, modelling and molecular genetics to understand transcriptional mechanism
Massive Reverse Genomics to Decipher Gene Regulatory Grammar

Original classification

Intramural

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.