Publications
The latest list of publications from the NIHR Cambridge Biomedical Research Centre with a brief summary.
If you are publishing research which has had funding and / or support from the NIHR Cambridge Biomedical Research Centre, please complete this form.
Publication: American Heart Journal
Mukhtar O, Cheriyan J, Cockcroft JR, Collier D, Coulson JM, Dasgupta I, et al.
October 2018
View publicationPublication: International Journal of Chronic Obstructive Pulmonary Disease
Early F, Wellwood I, Kuhn I, Deaton C, Fuld J.Int
29 October 2018
View publicationPublication: Journal of Autism and Developmental Disorders
Hull L, Mandy W, Lai MC, Baron-Cohen S, Allison C, Smith P, Petrides KV
25 October 2018
View publicationPublication: Clinical Genetics
Yates TM, Langley CLM, Grozeva D, Raymond FL, Johnson DS.
24 October 2018
View publicationPublication: BMJ
Loes CA Rutten-Jacobs, Susanna C Larsson,, Rainer Malik,, Kristiina Rannikmäe, MEGASTROKE consortium, International Stroke Genetics Consortium, Cathie L Sudlow, Martin Dichgans, Hugh S Markus, professor2, Matthew Traylor
24 October 2018
Summary:
Researchers investigated whether a genetic risk score for stroke is associated with actual (“incident”) stroke in a large population of British adults.
They developed a genetic risk score based on 90 gene variants known to be associated with stroke from 306,473 white men and women in the UK Biobank – a database of biological information from half a million British adults.
Participants were aged between 40 and 73 years and had no history of stroke or heart attack. Adherence to a healthy lifestyle was based on four factors: non-smoker, diet rich in fruit, vegetables and fish, not overweight or obese (body mass index less than 30), and regular physical exercise.
A high genetic risk combined with an unfavourable lifestyle profile was associated with a more than twofold increased risk of stroke compared with a low genetic risk and a favourable lifestyle. Full story here
View publicationPublication: Cell and Molecular Gastroenterology and Hepatology
Kraiczy J, Ross ADB, Forbester JL, Dougan G, Vallier L, Zilbauer M.
23 October 2018
View publicationPublication: Nature
Baland Jalal, Annette Brühl, Claire O’Callaghan, Thomas Piercy, Rudolf N. Cardinal, Vilayanur S. Ramachandran and Barbara J. Sahakian
23 October 2018
Summary:
A ‘brain training’ app could help people who suffer from obsessive compulsive disorder (OCD) manage their symptoms, which may typically include excessive handwashing and contamination fears.
One of the most common types of OCD, affecting up to 46% of OCD patients, is characterised by severe contamination fears and excessive washing behaviour. Excessive washing can be harmful as sometimes OCD patients use spirits, surface cleansers or even bleach to clean their hands. The behaviours can have a serious impact on people’s lives, their mental health, their relationships and their ability to hold down jobs.
Cambridge researchers developed a new treatment to help people with contamination fears and excessive washing. The intervention, which can be delivered through a smartphone app, involves patients watching videos of themselves washing their hands or touching fake contaminated surfaces. Read the full story here
Publication: Current Gerontology and Geriatrics Research
Hartley P, Keevil VL, Westgate K, White T, Brage S, Romero-Ortuno R, et al. Curr Gerontol Geriatr Res.
18 October 2018
View publicationPublication: JCI Insight
Cangul H, Liao XH, Schoenmakers E, Kero J, Barone S, Srichomkwun P, Iwayama H,Serra EG, Saglam H, Eren E, Tarim O, Nicholas AK, Zvetkova I, Anderson CA, FranklFEK, Boelaert K, Ojaniemi M, Jääskeläinen J, Patyra K, Löf C, Williams ED; UK10K Consortium, Soleimani M, Barrett T, Maher ER, Chatterjee VK, Refetoff S,Schoenmakers N
18 October 2018
View publicationPublication: Nature Communications
Young AL, Marinescu RV, Oxtoby NP, Bocchetta M, Yong K, Firth NC, et al.
15 October 2018
View publicationPublication: Nature Communications
Young AL, Marinescu RV, Oxtoby NP, Bocchetta M, Yong K, Firth NC, et al.
15 October 2018
View publicationPublication: Nature Communications
Keogh MJ, Wei W, Aryaman J, Walker L, van den Ameele J, Coxhead J, et al.
15 October 2018
View publicationPublication: PLoS Neglected Tropical Diseases
Britto CD, Wong VK, Dougan G, Pollard AJ.
11 October 2018
View publicationPublication: New England Journal
Grinfeld J, Nangalia J, Baxter EJ, Wedge DC, Angelopoulos N, Cantrill R, Godfrey AL, Papaemmanuil E, Gundem G, MacLean C, Cook J, O’Neil L, O’Meara S, Teague JW, Butler AP, Massie CE, Williams N, Nice FL, Andersen CL, Hasselbalch HC, Guglielmelli P, McMullin MF, Vannucchi AM, Harrison CN, Gerstung M, Green AR, Campbell PJ.
11 October 2018
View publicationPublication: PLOS Medicine
Imamura F, Fretts A, Marklund M, Ardisson Korat AV, Yang WS, Lankinen M, et al.
10 October 2018
View publicationPublication: Journal of the American College of Cardiology
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8 October 2018
Summary:
Genetic factors have long been known to be major contributors of someone’s risk of developing coronary heart disease – the leading cause of heart attacks. Currently to identify those at risk doctors use scores based on lifestyle and clinical conditions associated with coronary heart disease such as cholesterol level, blood pressure, diabetes and smoking. But these scores are imprecise, age-dependent and miss a large proportion of people who appear ‘healthy’, but will still develop the disease.
The ‘big-data’ GRS technique takes into account 1.7 million genetic variants in a person’s DNA to calculate their underlying genetic risk for coronary heart disease.
The team analysed genomic data of nearly half a million people from the UK Biobank research project aged between 40-69 years. This included over 22,000 people who had coronary heart disease.
The GRS was better at predicting someone’s risk of developing heart disease than each of the classic risk factors for coronary heart disease alone. The ability of the GRS to predict coronary heart disease was also largely independent of these known risk factors. This showed that the genes which increase the risk of coronary heart disease don’t simply work by elevating blood pressure or cholesterol, for example.
People with a genomic risk score in the top 20 per cent of the population were over four-times more likely to develop coronary heart disease than someone with a genomic risk score in the bottom 20 per cent. Read the full press release
View publicationPublication: The Lancet
Tauschmann M, Thabit H, Bally L, Allen JM, Hartnell S, Wilinska ME, Ruan Y, Sibayan J, Kollman C, Cheng P, Beck RW, Acerini CL, Evans ML, Dunger DB, Elleri D, Campbell F, Bergenstal RM, Criego A, Shah VN, Leelarathna L, Hovorka R; APCam11 Consortium.
3 October 2018
View publicationPublication: Molecular Psychiatry
Koriath C, Kenny J, Adamson G, Druyeh R, Taylor W, Beck J, et al.
2 October 2018
View publicationPublication: Neuropsychopharmacology
Skandali N, Rowe JB, Voon V, Deakin JB, Cardinal RN, Cormack F, et al.
26 September 2018
View publicationPublication: Microbial Genomics
Houldcroft CJ, Beale MA, Sayeed MA, Qadri F, Dougan G, Mutreja A.
24 September 2018
View publication