Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Auyeung, Victoria PW"'
Autor:
Surendran, Praveen, Stewart, Isobel, AuYeung, Victoria PW, Pietzner, Mark, Li, Chen, Smith, Rebecca F, Wittemans, Laura BL, Watkins, Nicholas A, Di Angelantonio, Emanuele, Soranzo, Nicole, Lotta, Luca A, Howson, Joanna MM, Wood, Angela M, Danesh, John, Wareham, Nicholas J, Butterworth, Adam S, Langenberg, Claudia
Garrod’s concept of “chemical individuality” has contributed to comprehension of molecular origins of human diseases. Untargeted high throughput metabolomic technologies provide an in-depth snapshot of human metabolism at scale. Here we studied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35aab8323d87a9dc9d071fb13d9bee26
https://www.repository.cam.ac.uk/handle/1810/344216
https://www.repository.cam.ac.uk/handle/1810/344216
Autor:
Bowker, Nicholas, Hansford, Robert, Burgess, Stephen, Foley, Christopher N, Auyeung, Victoria PW, Erzurumluoglu, A Mesut, Stewart, Isobel D, Wheeler, Eleanor, Pietzner, Maik, Gribble, Fiona, Reimann, Frank, Bhatnagar, Pallav, Coghlan, Matthew P, Wareham, Nicholas J, Langenberg, Claudia
There is considerable interest in GIPR agonism to enhance the insulinotropic and extra-pancreatic effects of GIP, thereby improving glycaemic and weight control in type 2 diabetes (T2D) and obesity. Recent genetic epidemiological evidence has implica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b89e1d8c2b1a5ee03f4ca8afe677cee0
https://doi.org/10.2337/figshare.15175518
https://doi.org/10.2337/figshare.15175518
Autor:
Lotta, Luca A, Pietzner, Maik, Stewart, Isobel D, Wittemans, Laura BL, Li, Chen, Bonelli, Roberto, Raffler, Johannes, Biggs, Emma K, Oliver-Williams, Clare, Auyeung, Victoria PW, Luan, Jian'an, Wheeler, Eleanor, Paige, Ellie, Surendran, Praveen, Michelotti, Gregory A, Scott, Robert A, Burgess, Stephen, Zuber, Verena, Sanderson, Eleanor, Koulman, Albert, Imamura, Fumiaki, Forouhi, Nita G, Khaw, Kay-Tee, MacTel Consortium, Griffin, Julian L, Wood, Angela M, Kastenmüller, Gabi, Danesh, John, Butterworth, Adam S, Gribble, Fiona M, Reimann, Frank, Bahlo, Melanie, Fauman, Eric, Wareham, Nicholas J, Langenberg, Claudia
In cross-platform analyses of 174 metabolites, we identify 499 associations (P < 4.9 × 10-10) characterized by pleiotropy, allelic heterogeneity, large and nonlinear effects and enrichment for nonsynonymous variation. We identify a signal at GLP2R (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::698ab72a2b01d68387d97b5a92109d51
https://www.repository.cam.ac.uk/handle/1810/316067
https://www.repository.cam.ac.uk/handle/1810/316067
Autor:
Lotta, Luca, Pietzner, Maik, Stewart, Isobel, Wittemans, Laura BL, Li, Chen, Bonelli, Roberto, Raffler, Johannes, Biggs, Emma, Oliver-Williams, Clare, Auyeung, Victoria PW, Luan, Jian’an, Wheeler, Eleanor, Paige, Ellie, Surendran, Praveen, Michelotti, Gregory, Scott, Robert, Burgess, Stephen, Zuber, Verena, Sanderson, Eleanor, Koulman, Albert, Imamura, Fumiaki, Forouhi, Nita, Khaw, Kay-Tee, Griffin, Julian, Wood, Angela, Kastenmüller, Gabi, Danesh, John, Butterworth, Adam, Gribble, Fiona, Reimann, Frank, Bahlo, Melanie, Fauman, Eric, Wareham, Nicholas, Langenberg, Claudia, MacTel Consortium
Circulating levels of small molecules or metabolites are highly heritable, but the impact of genetic differences in metabolism on human health is not well understood. In this cross-platform, genome-wide meta-analysis of 174 metabolite levels across s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81512fc74220e2ece1a5c2e599244dcf
https://www.repository.cam.ac.uk/handle/1810/309566
https://www.repository.cam.ac.uk/handle/1810/309566