Genetic code could predict COVID-19 severity in patients – The University of Edinburgh

DNA Fragmentation. A dye marker on agarose gel used to separate DNA by a female scientist. The smaller fragments move faster, the larger ones move slower. This separation process is used to analyyze the size of DNA fragments, to map DNA, to separate fragments of DNA to create clones.

Researchers are to study the genetic blueprints of severely ill Covid-19 patients to find out why the disease affects some more seriously than others and suggest potential treatments.

A UK-wide initiative will sequence the whole genomes – the genetic code – of patients to identify the specific genes that cause a predisposition to the disease.

The project is led by Dr Kenneth Baillie from the University of Edinburgh, and is a collaboration between Genomics England, the NHS, and the GenOMICC (Genetics of Susceptibility and Mortality in Critical Care) consortium – a global collaboration to study genetics in critical illness.

Every patient

This new partnership will allow whole genome sequencing to take place across the NHS involving up to 20,000 people currently or previously in an intensive care unit with coronavirus, and 15,000 individuals who have mild symptoms.

GenOMICC – which was launched by Dr Baillie in 2016 – is already active in more 170 intensive care units across the UK and has signed up more than one thousand patients for the study. The team aim to recruit every Covid-19 patient on a ventilator in the UK. The group have now been funded to sequence the entire genomes of patients with Covid-19 in collaboration with Genomics England and Illumina.

Explaining differences

The project hopes to explain one of the biggest mysteries about COVID-19: why some people get no symptoms at all, while others become critically ill, or die.

By discovering why some people are predisposed to developing life-threatening symptoms, scientists will be able to identify treatments for clinical trials and potentially highlight people at extreme risk.

The study’s results will also inform global strategic planning for possible later waves of Covid-19 and for other pandemics in the future.

“Our genes play a role in determining who becomes desperately sick with infections like Covid-19. Understanding these genes will help us to choose treatments for clinical trials. The GenOMICC study was launched before this outbreak and it is recruiting in 170 ICUs across the country with tremendous support from the critical care community. We are excited to work with Genomics England to tackle this new and complex disease.” Dr Kenneth BaillieAcademic Consultant in Critical Care Medicine and Senior Research Fellow at the University’s  Roslin Institute

Rapid research

GenOMICC is an open, global consortiu m of intensive care clinicians to understand genetic factors that influence outcomes in intensive care from diseases such as SARS, influenza and sepsis. It is designed to enable rapid research in the event of outbreaks like the current pandemic.

GenOMICC is funded by the charity Sepsis Research (FEAT), the Intensive Care Society, Wellcome, UKRI and Scotland’s Chief Scientist Office.

This new work has been enabled by £28 million of funding from Genomics England, UK Research and Innovation, the Department of Health and Social Care and the National Institute for Health Research.

“As each day passes we are learning more about this virus, and understanding how genetic makeup may influence how people react to it is a critical piece of the jigsaw. This is a ground-breaking and far-reaching study which will harness the UK’s world-leading genomics science to improve treatments and ultimately save lives across the world.” Rt Hon Matt HancockSecretary of State for Health

“For the first time in a generation we face a global viral pandemic that is life threatening for some people, yet others have a mild infection. By reading the whole genome we may able to identify variation that affects response to Covid-19 and discover new therapies that could reduce harm, save lives and even prevent future outbreaks.” Sir Mark CaulfieldChief Scientist , Genomics England

Content retrieved from: https://www.ed.ac.uk/covid-19-response/latest-news/genetic-code-could-predict-severity-of-covid-19.

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