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Ryan M. Ames
Researcher at University of Exeter
Publications - 25
Citations - 494
Ryan M. Ames is an academic researcher from University of Exeter. The author has contributed to research in topics: Gene & Population. The author has an hindex of 9, co-authored 24 publications receiving 359 citations. Previous affiliations of Ryan M. Ames include University of Manchester.
Papers
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Journal ArticleDOI
Gene-obesogenic environment interactions in the UK Biobank study.
Jessica Tyrrell,Andrew R. Wood,Ryan M. Ames,Hanieh Yaghootkar,Robin N Beaumont,Samuel E. Jones,Marcus A. Tuke,Katherine S. Ruth,Rachel M. Freathy,Rachel M. Freathy,George Davey Smith,Stéphane Joost,Idris Guessous,Idris Guessous,Idris Guessous,Anna Murray,David P. Strachan,Zoltán Kutalik,Zoltán Kutalik,Michael N. Weedon,Timothy M. Frayling +20 more
TL;DR: Of the factors tested, relative social deprivation best captures the aspects of the obesogenic environment responsible for the risk of obesity in genetically susceptible adults.
Journal ArticleDOI
circRNAs expressed in human peripheral blood are associated with human aging phenotypes, cellular senescence and mouse lifespan.
Shahnaz Haque,Ryan M. Ames,Karen Moore,Luke C. Pilling,Luanne L. Peters,Stefania Bandinelli,Luigi Ferrucci,Lorna W. Harries +7 more
TL;DR: Assessment of circRNA expression in aging human blood and followed up age-associated circRNA in relation to human aging phenotypes suggest that circRNA may represent a novel class of regulatory RNA involved in the determination of aging Phenotypes, which may show future promise as both biomarkers and future therapeutic targets for age-related disease.
Journal ArticleDOI
Gene duplication and environmental adaptation within yeast populations
Ryan M. Ames,Bharat M. Rash,Kathryn E. Hentges,David Robertson,Daniela Delneri,Simon C. Lovell +5 more
TL;DR: It is found that yeast show an abundance of duplicate genes that are lineage specific, leading to a large degree of variation in gene content between individual strains, indicating that gene duplication can give rise to substantial phenotypic differences within populations that in turn can offer a shortcut to evolutionary adaptation.
Journal ArticleDOI
Determining the evolutionary history of gene families
TL;DR: Weighted parsimony and maximum likelihood methods for inferring gain and loss events are developed and it is found that for all simulations maximum likelihood-based methods are very accurate for reconstructing the number of duplication events on the phylogenetic tree, and that maximum likelihood and weighted parsimony have similar accuracy for reconstructioning the ancestral state.
Journal ArticleDOI
Islet-expressed circular RNAs are associated with type 2 diabetes status in human primary islets and in peripheral blood
TL;DR: The data suggest that circRNAs are abundantly expressed in human islets, and that some are differentially regulated in the islets of donors with type 2 diabetes.