K
Katherine S. Elliott
Researcher at University of Oxford
Publications - 51
Citations - 14778
Katherine S. Elliott is an academic researcher from University of Oxford. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 26, co-authored 43 publications receiving 13239 citations. Previous affiliations of Katherine S. Elliott include Wellcome Trust Centre for Human Genetics.
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Journal ArticleDOI
Genome-wide association study of survival from sepsis due to pneumonia: an observational cohort study
Anna Rautanen,Tara C. Mills,Anthony C. Gordon,Paula Hutton,Michael Steffens,Rosamond A. Nuamah,Jean-Daniel Chiche,Tom Parks,Stephen J Chapman,Emma E. Davenport,Katherine S. Elliott,Julian Bion,Peter Lichtner,Thomas Meitinger,Thomas F. Wienker,Mark J. Caulfield,Charles A. Mein,Frank Bloos,Ilona Bobek,Paolo Cotogni,Vladimír Šrámek,Silver Sarapuu,Makbule Kobilay,V. Marco Ranieri,Jordi Rello,Gonzalo Sirgo,Yoram Weiss,Stefan Russwurm,E Marion Schneider,Konrad Reinhart,Paul A. H. Holloway,Julian C. Knight,Christopher S. Garrard,James A. Russell,Keith R. Walley,Frank Stüber,Adrian V. S. Hill,Charles J. Hinds +37 more
TL;DR: Common variants in the FER gene and associated molecular pathways are potential novel targets for therapy or prevention and candidates for the development of biomarkers for risk stratification.
Journal ArticleDOI
Genome-wide population-based association study of extremely overweight young adults--the GOYA study.
Lavinia Paternoster,David M. Evans,Ellen A. Nohr,Claus Holst,Valerie Gaborieau,Paul Brennan,Anette P. Gjesing,Niels Grarup,Daniel R. Witte,Torben Jørgensen,Torben Jørgensen,Allan Linneberg,Torsten Lauritzen,A. Sandbaek,Torben Hansen,Torben Hansen,Oluf Pedersen,Oluf Pedersen,Katherine S. Elliott,John P. Kemp,Beate St Pourcain,George McMahon,Diana Zelenika,Jorg Hager,Mark Lathrop,Nicholas J. Timpson,George Davey Smith,Thorkild I. A. Sørensen +27 more
TL;DR: The results indicate that the detectable genetic variation associated with extreme overweight is very similar to that previously found for general BMI, which suggests that population-based study designs with enriched sampling of individuals with the extreme phenotype may be an efficient method for identifying common variants that influence quantitative traits.
Journal ArticleDOI
Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study.
Kalliope Panoutsopoulou,Lorraine Southam,Katherine S. Elliott,N Wrayner,Guangju Zhai,C Beazley,Gudmar Thorleifsson,Nigel K Arden,Nigel K Arden,Andrew Carr,Kay Chapman,Panagiotis Deloukas,Michael Doherty,Andrew McCaskie,W. E. R. Ollier,Stuart H. Ralston,Tim D. Spector,Ana M. Valdes,Gillian A. Wallis,Jeremy Mark Wilkinson,E Arden,K Battley,Hannah Blackburn,Francisco J. Blanco,Suzannah Bumpstead,L. A. Cupples,Aaron G. Day-Williams,K Dixon,Sally Doherty,Tõnu Esko,Evangelos Evangelou,David T. Felson,Juan J. Gomez-Reino,Antonio Gonzalez,A Gordon,R. Gwilliam,Bjarni V. Halldorsson,Bjarni V. Halldorsson,Valdimar B. Hauksson,Albert Hofman,Sarah E. Hunt,John P. A. Ioannidis,Thorvaldur Ingvarsson,Ingileif Jonsdottir,Ingileif Jonsdottir,Hakon Jonsson,Richard Keen,Hanneke J. M. Kerkhof,Margreet Kloppenburg,N Koller,Nico Lakenberg,Nancy E Lane,Annette Lee,Andres Metspalu,Ingrid Meulenbelt,Michael C. Nevitt,F O'Neill,Neeta Parimi,Simon C. Potter,Ignacio Rego-Pérez,Javier Riancho,K Sherburn,P.E. Slagboom,Kari Stefansson,Kari Stefansson,Unnur Styrkarsdottir,M Sumillera,D Swift,Unnur Thorsteinsdottir,Unnur Thorsteinsdottir,Aspasia Tsezou,André G. Uitterlinden,J.B. van Meurs,B Watkins,M. Wheeler,Sheryl Mitchell,Yanyan Zhu,Joseph M. Zmuda,Eleftheria Zeggini,Eleftheria Zeggini,John Loughlin +80 more
TL;DR: None of the association signals the authors identified reach genome-wide levels of statistical significance, therefore stressing the need for corroboration in sample sets of a larger size, and identifying loci conferring susceptibility to osteoarthritis will require large-scale sample sizes and well-defined phenotypes to minimise heterogeneity.
Journal ArticleDOI
Distinct HLA associations of LGI1 and CASPR2-antibody diseases
Sophie Binks,James Varley,Wanseon Lee,M Makuch,Katherine S. Elliott,Jeffrey M. Gelfand,Saiju Jacob,M. Isabel Leite,Paul Maddison,Mian Chen,Michael D. Geschwind,Eleanor Grant,Arjune Sen,Patrick Waters,Mark McCormack,Gianpiero L. Cavalleri,Martin Barnardo,Julian C. Knight,Sarosh R. Irani +18 more
TL;DR: Two strikingly dichotomous HLA-associations are described, most significantly in Hla-DRB1*07:01 for LGI1, and HLA/CASPR2*11:001 for CASPR2.
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The mitochondrial rhomboid protease PSARL is a new candidate gene for type 2 diabetes
Ken Walder,Lyndal Kerr-Bayles,Anthony E. Civitarese,Anthony E. Civitarese,Jeremy B. M. Jowett,Joanne E. Curran,Katherine S. Elliott,James L. Trevaskis,James L. Trevaskis,Natalie Bishara,P. Z. Zimmet,Lawrence J. Mandarino,Eric Ravussin,John Blangero,Ahmed H. Kissebah,Gregory Collier +15 more
TL;DR: Variation in PSARL sequence and/or expression may be an important new risk factor for type 2 diabetes and other components of the metabolic syndrome.