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Showing papers by "Katherine S. Elliott published in 2008"

Journal Article•DOI•
Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

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Eleftheria Zeggini1, Laura J. Scott2, Richa Saxena, Benjamin F. Voight, Jonathan Marchini3, T Hu2, de Bakker Piw.4, de Bakker Piw.5, de Bakker Piw.6, Gonçalo R. Abecasis2, Peter Almgren7, Gregers S. Andersen8, Kristin Ardlie4, Kristina Bengtsson Boström, Richard N. Bergman9, Lori L. Bonnycastle10, Knut Borch-Johnsen8, Knut Borch-Johnsen11, Noël P. Burtt4, H Chen12, Peter S. Chines10, Mark J. Daly, P Deodhar10, Ding C-J.2, Doney Asf.13, William L. Duren2, Katherine S. Elliott1, Mike Erdos10, Timothy M. Frayling14, Rachel M. Freathy14, Lauren Gianniny4, Harald Grallert, Niels Grarup8, Christopher J. Groves3, Candace Guiducci4, Torben Hansen8, Christian Herder15, Graham A. Hitman16, Thomas Edward Hughes12, Bo Isomaa, Anne U. Jackson2, Torben Jørgensen17, Augustine Kong18, Kari Kubalanza10, Finny G Kuruvilla4, Finny G Kuruvilla6, Johanna Kuusisto19, Claudia Langenberg20, Hana Lango14, Torsten Lauritzen21, Yun Li2, Cecilia M. Lindgren3, Cecilia M. Lindgren1, Valeriya Lyssenko7, Amanda F. Marvelle22, Christine Meisinger, Kristian Midthjell23, Karen L. Mohlke22, Mario A. Morken10, Andrew D. Morris13, Narisu Narisu10, Peter M. Nilsson7, Katharine R. Owen3, Palmer Cna.13, Felicity Payne24, Perry Jrb.14, E Pettersen23, Carl Platou23, Inga Prokopenko1, Inga Prokopenko3, Lu Qi5, Lu Qi6, L Qin22, Nigel W. Rayner3, Nigel W. Rayner1, Matthew G. Rees10, J J Roix12, A Sandbaek11, Beverley M. Shields, Marketa Sjögren7, Valgerdur Steinthorsdottir18, Heather M. Stringham2, Amy J. Swift10, Gudmar Thorleifsson18, Unnur Thorsteinsdottir18, Nicholas J. Timpson25, Nicholas J. Timpson1, Tiinamaija Tuomi26, Jaakko Tuomilehto26, Mark Walker27, Richard M. Watanabe9, Michael N. Weedon14, Cristen J. Willer2, Thomas Illig, Kristian Hveem23, Frank B. Hu5, Frank B. Hu6, Markku Laakso19, Kari Stefansson18, Oluf Pedersen8, Oluf Pedersen11, Nicholas J. Wareham20, Inês Barroso24, Andrew T. Hattersley14, Francis S. Collins10, Leif Groop26, Leif Groop7, Mark I. McCarthy1, Mark I. McCarthy3, Michael Boehnke2, David Altshuler •
Wellcome Trust Centre for Human Genetics1, University of Michigan2, University of Oxford3, Massachusetts Institute of Technology4, Brigham and Women's Hospital5, Harvard University6, Lund University7, Steno Diabetes Center8, University of Southern California9, National Institutes of Health10, Health Science University11, Novartis12, Ninewells Hospital13, University of Exeter14, University of Düsseldorf15, Queen Mary University of London16, Glostrup Hospital17, deCODE genetics18, University of Eastern Finland19, University of Cambridge20, Aarhus University21, University of North Carolina at Chapel Hill22, Norwegian University of Science and Technology23, Wellcome Trust Sanger Institute24, University of Bristol25, University of Helsinki26, Newcastle University27
30 Mar 2008-Nature Genetics
TL;DR: The results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D, and detect at least six previously unknown loci with robust evidence for association.
Abstract: Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and approximately 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P = 5.0 x 10(-14)), CDC123-CAMK1D (P = 1.2 x 10(-10)), TSPAN8-LGR5 (P = 1.1 x 10(-9)), THADA (P = 1.1 x 10(-9)), ADAMTS9 (P = 1.2 x 10(-8)) and NOTCH2 (P = 4.1 x 10(-8)) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.

1,872 citations

Journal Article•
Studies of genome-wide association data support a genetic overlap between type 2 diabetes and prostate cancer

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Katherine S. Elliott, E Zeggini, N W Rayner, C J Groves, Timothy M. Frayling, Andrew T. Hattersley, Mark I. McCarthy, D G Replication 
01 Jan 2008-Diabetologia

1 citations

Journal Article•
Extended analysis of genome-wide scans provides clues about novel common and rare susceptibility loci for type 2 diabetes

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E Zeggini, Robert W. Lawrence, Andrew T. Hattersley, Timothy M. Frayling, Katherine S. Elliott, Mark I. McCarthy, Control Wtc. 
01 Jan 2008-Diabetologia

1 citations