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Your search keyword '"Nick J. Wareham"' showing total 2 results
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2 results on '"Nick J. Wareham"'

1. Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness

Author

Sara M. Willems, Daniel J. Wright, Felix R. Day, Katerina Trajanoska, Peter K. Joshi, John A. Morris, Amy M. Matteini, Fleur C. Garton, Niels Grarup, Nikolay Oskolkov, Anbupalam Thalamuthu, Massimo Mangino, Jun Liu, Ayse Demirkan, Monkol Lek, Liwen Xu, Guan Wang, Christopher Oldmeadow, Kyle J. Gaulton, Luca A. Lotta, Eri Miyamoto-Mikami, Manuel A. Rivas, Tom White, Po-Ru Loh, Mette Aadahl, Najaf Amin, John R. Attia, Krista Austin, Beben Benyamin, Søren Brage, Yu-Ching Cheng, Paweł Cięszczyk, Wim Derave, Karl-Fredrik Eriksson, Nir Eynon, Allan Linneberg, Alejandro Lucia, Myosotis Massidda, Braxton D. Mitchell, Motohiko Miyachi, Haruka Murakami, Sandosh Padmanabhan, Ashutosh Pandey, Ioannis Papadimitriou, Deepak K. Rajpal, Craig Sale, Theresia M. Schnurr, Francesco Sessa, Nick Shrine, Martin D. Tobin, Ian Varley, Louise V. Wain, Naomi R. Wray, Cecilia M. Lindgren, Daniel G. MacArthur, Dawn M. Waterworth, Mark I. McCarthy, Oluf Pedersen, Kay-Tee Khaw, Douglas P. Kiel, GEFOS Any-Type of Fracture Consortium, Yannis Pitsiladis, Noriyuki Fuku, Paul W. Franks, Kathryn N. North, Cornelia M. van Duijn, Karen A. Mather, Torben Hansen, Ola Hansson, Tim Spector, Joanne M. Murabito, J. Brent Richards, Fernando Rivadeneira, Claudia Langenberg, John R. B. Perry, Nick J. Wareham, and Robert A. Scott

Subjects
Science
Abstract

Hand grip strength as a proxy of muscular fitness is a clinical predictor of mortality and morbidity. In a large-scale GWA study, the authors find 16 robustly associated genetic loci that highlight roles in muscle fibre structure and function, neuronal maintenance and nervous system signal transduction.

Published
2017
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2. Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity

Author

Audrey E. Hendricks, Elena G. Bochukova, Gaëlle Marenne, Julia M. Keogh, Neli Atanassova, Rebecca Bounds, Eleanor Wheeler, Vanisha Mistry, Elana Henning, Antje Körner, Dawn Muddyman, Shane McCarthy, Anke Hinney, Johannes Hebebrand, Robert A. Scott, Claudia Langenberg, Nick J. Wareham, Praveen Surendran, Joanna M. Howson, Adam S. Butterworth, John Danesh, Børge G Nordestgaard, Sune F Nielsen, Shoaib Afzal, Sofia Papadia, Sofie Ashford, Sumedha Garg, Glenn L. Millhauser, Rafael I. Palomino, Alexandra Kwasniewska, Ioanna Tachmazidou, Stephen O’Rahilly, Eleftheria Zeggini, Inês Barroso, I. Sadaf Farooqi, Understanding Society Scientific Group, EPIC-CVD Consortium, and UK10K Consortium

Subjects
Medicine, Science
Abstract

Abstract Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants contributing to obesity in 2% of cases including multiple novel variants in GNAS, which were sometimes found with accelerated growth rather than short stature as described previously. Nominally significant associations were found for rare functional variants in BBS1, BBS9, GNAS, MKKS, CLOCK and ANGPTL6. The p.S284X variant in ANGPTL6 drives the association signal (rs201622589, MAF~0.1%, odds ratio = 10.13, p-value = 0.042) and results in complete loss of secretion in cells. Further analysis including additional case-control studies and population controls (N = 260,642) did not support association of this variant with obesity (odds ratio = 2.34, p-value = 2.59 × 10−3), highlighting the challenges of testing rare variant associations and the need for very large sample sizes. Further validation in cohorts with severe obesity and engineering the variants in model organisms will be needed to explore whether human variants in ANGPTL6 and other genes that lead to obesity when deleted in mice, do contribute to obesity. Such studies may yield druggable targets for weight loss therapies.

Published
2017
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