article

Genome

New method to analyse complex genetic data could be the key to tackling rare diseases

Wednesday, 30 October 2024

Scientists from the University of Nottingham have developed a new method of genetic analysis, which extracts more precise data than previously used methods when looking at DNA, and will improve our understanding of the genetic basis of rare and complex diseases.

The findings of the new study, which are published in Physiological Genomics, explain a new method of analysing genetics, which determines the extent to which genes are involved in phenotype formation.

The previously used method extracted information using averages from different datasets, meaning that it had limitations in terms of the type of information it could provide, and what scientists could learn from it.

The study was led by Dr Cyril Rauch, an Associate Professor in Physical and Mathematical Veterinary Medicine and Science at the University of Nottingham.

Genome-wide association studies (GWASs) provide a method to map genotypes - the genetic makeup of an organism, and phenotypes - observational traits such as height or hair colour. This helps scientists to understand biology, and in turn, how to treat certain diseases.

Although genomic technologies have advanced quickly, the statistical model used to analyse genotype and phenotype association are based on works developed by scientist R. A Fisher more than 100 years ago. However, there is an ongoing debate in the scientific community over whether this method has reached its limit for truly understanding the genetic basis of rare and complex traits – such as rare disease.

As the UK wants to capitalise on the success of gene editing technologies, this is something that needs urgently addressing since there can only be useful editing technologies in the cases of rare and complex traits, if precise genotype-phenotype mapping information is available. In this context, new and more accurate statistical methods maximising the investigative power of biological or medical data are needed to help define gene targets and future treatments precisely.

Inspired by physics theory, an interdisciplinary team of researchers at the University of Nottingham have dedicated time over the past few years to rethink and change the mathematical foundations of classic GWA methods, so they can maximise the investigative power of genotype/phenotype datasets.

This has resulted in a new method called Genomic Informational Theory (GIFT) that has now been applied successfully to a range of datasets. By removing the informational barrier linked to dataset categories, the team have demonstrated that it is possible to extract more information using GIFT than the previously used GWAS.

Dr Cyril Rauch, an Associate Professor in Physical and Mathematical Veterinary Medicine and Science

Dr Rauch says: “One way to represent the difference in the investigative or informational powers of GIFT relative to GWASs is to use an analogy with the magnification power of microscopes. Our results show that comparing the informational (resolution) powers of GIFT relative to GWASs is like comparing an electron microscope (GIFT) to a light microscope (GWASs).

“With increased informational power, GIFT can be applied to relatively large datasets to extract further information and/or to small datasets to extract novel information where GWASs were unable to do so previously. GIFT is particularly well suited for applications in fields were building datasets is difficult, for example rare diseases.”

The full study can be found here.

Story credits

More information is available from Dr Cyril Rauch from the School of Veterinary Medicine and Science at cyril.rauch@Nottingham.ac.uk

CharlotteAnscombe
Charlotte Anscombe - Media Relations Manager - Faculty of Medicine and Health Sciences
Email: charlotte.anscombe@nottingham.ac.uk
Phone: 0115 748 4417
Location:

Notes to editors:

About the University of Nottingham

Ranked 32 in Europe and 16th in the UK by the QS World University Rankings: Europe 2024, the University of Nottingham is a founding member of the Russell Group of research-intensive universities. Studying at the University of Nottingham is a life-changing experience, and we pride ourselves on unlocking the potential of our students. We have a pioneering spirit, expressed in the vision of our founder Sir Jesse Boot, which has seen us lead the way in establishing campuses in China and Malaysia - part of a globally connected network of education, research and industrial engagement.

Nottingham was crowned Sports University of the Year by The Times and Sunday Times Good University Guide 2024 – the third time it has been given the honour since 2018 – and by the Daily Mail University Guide 2024.

The university is among the best universities in the UK for the strength of our research, positioned seventh for research power in the UK according to REF 2021. The birthplace of discoveries such as MRI and ibuprofen, our innovations transform lives and tackle global problems such as sustainable food supplies, ending modern slavery, developing greener transport, and reducing reliance on fossil fuels.

The university is a major employer and industry partner - locally and globally - and our graduates are the second most targeted by the UK's top employers, according to The Graduate Market in 2022 report by High Fliers Research.

We lead the Universities for Nottingham initiative, in partnership with Nottingham Trent University, a pioneering collaboration between the city’s two world-class institutions to improve levels of prosperity, opportunity, sustainability, health and wellbeing for residents in the city and region we are proud to call home.

More news…

Media Relations - External Relations

The University of Nottingham
YANG Fujia Building
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

telephone: +44 (0) 115 951 5798
email: pressoffice@nottingham.ac.uk