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: International Journal of Chronic Obstructive Pulmonary Disease

Early F, Wellwood I, Kuhn I, Deaton C, Fuld J.Int

29 October 2018

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Publication: Journal of Autism and Developmental Disorders

Hull L, Mandy W, Lai MC, Baron-Cohen S, Allison C, Smith P, Petrides KV

25 October 2018

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Publication: Clinical Genetics

Yates TM, Langley CLM, Grozeva D, Raymond FL, Johnson DS.

24 October 2018

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Publication: 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

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Publication: Cell and Molecular Gastroenterology and Hepatology

Kraiczy J, Ross ADB, Forbester JL, Dougan G, Vallier L, Zilbauer M.

23 October 2018

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Publication: 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

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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

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Publication: 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

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Publication: Nature Communications

Young AL, Marinescu RV, Oxtoby NP, Bocchetta M, Yong K, Firth NC, et al.

15 October 2018

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Publication: Nature Communications

Young AL, Marinescu RV, Oxtoby NP, Bocchetta M, Yong K, Firth NC, et al.

15 October 2018

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Publication: Nature Communications

Keogh MJ, Wei W, Aryaman J, Walker L, van den Ameele J, Coxhead J, et al.

15 October 2018

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Publication: PLoS Neglected Tropical Diseases

Britto CD, Wong VK, Dougan G, Pollard AJ.

11 October 2018

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Publication: 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

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Publication: PLOS Medicine

Imamura F, Fretts A, Marklund M, Ardisson Korat AV, Yang WS, Lankinen M, et al.

10 October 2018

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Publication: Journal of the American College of Cardiology

Michael Inouye, Gad Abraham, Christopher P. Nelson, Angela M. Wood, Michael J. Sweeting, Frank Dudbridge, Florence Y. Lai, Stephen Kaptoge, Marta Brozynska, Tingting Wang, Shu Ye, Thomas R. Webb, Martin K. Rutter, Ioanna Tzoulaki,Riyaz S. Patel, Ruth J.F. Loos, Bernard Keavney, Harry Hemingway, John Thompson, Hugh Watkins, Panos Deloukas,Emanuele Di Angelantonio, Adam S. Butterworth, John Danesh, Nilesh J. Samani

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

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Publication: 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

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Publication: Molecular Psychiatry

Koriath C, Kenny J, Adamson G, Druyeh R, Taylor W, Beck J, et al.

2 October 2018

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Publication: Neuropsychopharmacology

Skandali N, Rowe JB, Voon V, Deakin JB, Cardinal RN, Cormack F, et al.

26 September 2018

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Publication: Microbial Genomics

Houldcroft CJ, Beale MA, Sayeed MA, Qadri F, Dougan G, Mutreja A.

24 September 2018

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