. Scientific Frontline: Genetic research unlocks new ways to prevent and treat multiple long-term conditions

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Genetic research unlocks new ways to prevent and treat multiple long-term conditions

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The largest study to date to analyze millions of both genetic and patient records on the long-term health conditions of later life has identified opportunities for new ways to prevent and treat multiple overlapping conditions.  

Currently, nine million people in the UK live with two or more long-term conditions at the same time – known as multimorbidity. Their treatment accounts for half of the NHS budget. 

Led by the University of Exeter Medical School and funded by the Medical Research Council and the National Institute for Health and Care Research, the GEMINI study looked at both genetics and clinical information from more than three million people in the UK and Spain.  

Published in eBioMedicine  research has identified genetic overlaps in 72 long-term health conditions associated with ageing, to identify where specific genes are linked to two or more conditions. With more than 2,500 combinations of conditions analyzed, the program aims to unlock cases where a drug or prevention strategies can prevent or delay the onset of multimorbidity. It also revealed genetic connections that explain why certain conditions may be more likely to co-occur in the same patient. 

The research comes after the Government’s Chief Scientific Advisor Professor Chris Whitty highlighted improving the treatment of people with one or more long term conditions – known as multimorbidity – as a key priority for research.  

Dr Joao Delgado, at the University of Exeter Medical School led the research. He said: “Overlapping long-term conditions have a huge impact on the lives of millions of people and are difficult and costly to treat. For the first time, we’ve combined analysis of both genetics and clinical records on a massive scale, in a new and robust approach to identify where genes play a critical role in more than one condition. We’re now working to drill down into specifics combination of conditions, and expect to reveal drugs or lifestyle changes that already work for treating existing conditions that can be repurposed to prevent multimorbidity, with promising results. For example, we identified the role of treatable conditions, such as B12 deficiency and iron deficiency anemia in the development of multimorbidity. This will lead to a more personalized approach to prevention and treatment in multimorbidity.” 

Co –author Professor Jane Masoli, of the University of Exeter Medical School, said: “A known problem in treating overlapping health conditions is that clinical services and guidelines largely address single disease groups and not the bigger picture. Studying multiple conditions is really complex and until now research has also focused on one condition at a time. This research, provides a platform for researching what causes overlapping health conditions, and will have major benefits for rapidly progressing medical understanding to ultimately improve people’s lives. Treating people in a more personalized way, as a whole person rather than by single disease, is likely to deliver better quality for people living with multiple conditions, and reduce the  burden on health services.” 

Funding: The research was supported by the NIHR Exeter Biomedical Research Centre and the Applied Research Collaboration South West Peninsula (PenARC).

Published in journal: eBioMedicine

TitleA systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care data

Authors: Olivia Murrin,  Ninon Mounier,  Bethany Voller,  Linus Tata,  Carlos Gallego-Moll,  Albert Roso-Llorach,  Lucía A. Carrasco-Ribelles,  Chris Fox,  Louise M. Allan,  Ruby M. Woodward,  Xiaoran Liang,  Jose M. Valderas,  Sara M. Khalid,  Frank Dudbridge,  Sally E. Lamb,  Mary Mancini,  Leon Farmer,  Kate Boddy,  Jack Bowden,  David Melzer,  Timothy M. Frayling,  Jane A.H. Masoli,  Luke C. Pilling,  Concepción Violán,  João Delgado

Source/CreditUniversity of Exeter | Louise Vennells

Reference Number: gen020725_01

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