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Nilesh J. Samani
Researcher at University of Leicester
Publications - 836
Citations - 127518
Nilesh J. Samani is an academic researcher from University of Leicester. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 149, co-authored 779 publications receiving 113545 citations. Previous affiliations of Nilesh J. Samani include University Hospitals of Leicester NHS Trust & Glenfield Hospital.
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Journal ArticleDOI
Increased support for linkage of a novel locus on chromosome 5q13 for essential hypertension in the british genetics of hypertension study
Patricia B. Munroe,Chris Wallace,Mingzhan Xue,Ana Carolina B. Marçano,Richard Dobson,Abiodun Onipinla,Beverley Burke,Johannie Gungadoo,Stephen Newhouse,J Pembroke,Morris J. Brown,Anna F. Dominiczak,Nilesh J. Samani,Mark Lathrop,John M. C. Connell,John Webster,David Clayton,Martin Farrall,Charles A. Mein,Mark J. Caulfield +19 more
TL;DR: Increased evidence for linkage and borderline-significant evidence for association for a hypertension susceptibility locus on chromosome 5q13 that is worthy of detailed fine mapping and assessment of candidate genes is found.
Journal ArticleDOI
Whole genome survey of copy number variation in the spontaneously hypertensive rat: relationship to quantitative trait loci, gene expression, and blood pressure.
Fadi J. Charchar,Michael A. Kaiser,Andrew J. Bingham,Nina Fotinatos,Fahima Ahmady,Maciej Tomaszewski,Nilesh J. Samani +6 more
TL;DR: It is suggested that copy number variants (CNVs) may play a role in the susceptibility to hypertension and related traits in the SHR.
Journal ArticleDOI
Four Genetic Loci Influencing Electrocardiographic Indices of Left Ventricular Hypertrophy
Sonia Shah,Christopher P. Nelson,Tom R. Gaunt,Pim van der Harst,Timothy A. Barnes,Peter S. Braund,Debbie A Lawlor,Juan-Pablo Casas,Sandosh Padmanabhan,Fotios Drenos,Mika Kivimäki,Philippa J. Talmud,Steve E. Humphries,John C. Whittaker,Richard W Morris,Peter H. Whincup,Anna F. Dominiczak,Patricia B. Munroe,Toby Johnson,Alison H. Goodall,François Cambien,Patrick Diemert,Christian Hengstenberg,Willem H. Ouwehand,Janine F. Felix,Janine F. Felix,Nicole L. Glazer,Maciej Tomaszewski,Paul Burton,Martin D. Tobin,Dirk J. van Veldhuisen,Rudolf A. de Boer,Gerjan Navis,Wiek H. van Gilst,Bongani M. Mayosi,John R. Thompson,Meena Kumari,Peter W. Macfarlane,Ian N. M. Day,Aroon D. Hingorani,Nilesh J. Samani +40 more
TL;DR: A large-scale gene-centric association analysis of 4 commonly measured indices of ECG-LVH provides novel insights into the genetic determination of ECGs and could help to improve the understanding of the mechanisms determining this prognostically important trait.
Posted ContentDOI
Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary prevention
Michael Inouye,Gad Abraham,Christopher P. Nelson,Angela M. Wood,Michael J. Sweeting,Frank Dudbridge,Florence Lai,Stephen Kaptoge,Marta Brozynska,Tingting Wang,Shu Ye,Tom R. Webb,Martin K. Rutter,Ioanna Tzoulaki,Riyaz S. Patel,Ruth J. F. Loos,Bernard Keavney,Harry Hemingway,John F. Thompson,Hugh Watkins,Panos Deloukas,Emanuele Di Angelantonio,Adam S. Butterworth,John Danesh,Nilesh J. Samani +24 more
TL;DR: A new genomic risk score for CAD, consisting of 1.7 million genetic variants, has been developed, enabling targeted primary intervention in combination with conventional risk factors and partially attenuated by lipid and blood pressure-lowering medication.
Journal ArticleDOI
Shorter leukocyte telomere length is associated with adverse COVID-19 outcomes: A cohort study in UK Biobank.
Qingning Wang,Qingning Wang,Veryan Codd,Veryan Codd,Zahra Raisi-Estabragh,Zahra Raisi-Estabragh,Crispin Musicha,Vasiliki Bountziouka,Stephen Kaptoge,Elias Allara,Elias Allara,Emanuele Di Angelantonio,Adam S. Butterworth,Angela M. Wood,John R. Thompson,Steffen E. Petersen,Steffen E. Petersen,Nicholas C. Harvey,Nicholas C. Harvey,John Danesh,Nilesh J. Samani,Nilesh J. Samani,Christopher P. Nelson,Christopher P. Nelson +23 more
TL;DR: In this paper, the authors found that shorter leucocyte telomere length (LTL) is associated with higher risk of adverse COVID-19 outcomes, independent of several major risk factors including age.