Phenome-wide association studies across large population cohorts support drug target validation

Testing the association between genetic variants and a range of phenotypes can assist drug development. Here, in a phenome-wide association study in up to 697,815 individuals, Diogo et al. identify genotype–phenotype associations predicting efficacy, alternative indications or adverse drug effects....

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Autores principales: Dorothée Diogo, Chao Tian, Christopher S. Franklin, Mervi Alanne-Kinnunen, Michael March, Chris C. A. Spencer, Ciara Vangjeli, Michael E. Weale, Hannele Mattsson, Elina Kilpeläinen, Patrick M. A. Sleiman, Dermot F. Reilly, Joshua McElwee, Joseph C. Maranville, Arnaub K. Chatterjee, Aman Bhandari, Khanh-Dung H. Nguyen, Karol Estrada, Mary-Pat Reeve, Janna Hutz, Nan Bing, Sally John, Daniel G. MacArthur, Veikko Salomaa, Samuli Ripatti, Hakon Hakonarson, Mark J. Daly, Aarno Palotie, David A. Hinds, Peter Donnelly, Caroline S. Fox, Aaron G. Day-Williams, Robert M. Plenge, Heiko Runz
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/cb9fc601268446ca86cfc25a436b40c6
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spelling oai:doaj.org-article:cb9fc601268446ca86cfc25a436b40c62021-12-02T15:33:58ZPhenome-wide association studies across large population cohorts support drug target validation10.1038/s41467-018-06540-32041-1723https://doaj.org/article/cb9fc601268446ca86cfc25a436b40c62018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06540-3https://doaj.org/toc/2041-1723Testing the association between genetic variants and a range of phenotypes can assist drug development. Here, in a phenome-wide association study in up to 697,815 individuals, Diogo et al. identify genotype–phenotype associations predicting efficacy, alternative indications or adverse drug effects.Dorothée DiogoChao TianChristopher S. FranklinMervi Alanne-KinnunenMichael MarchChris C. A. SpencerCiara VangjeliMichael E. WealeHannele MattssonElina KilpeläinenPatrick M. A. SleimanDermot F. ReillyJoshua McElweeJoseph C. MaranvilleArnaub K. ChatterjeeAman BhandariKhanh-Dung H. NguyenKarol EstradaMary-Pat ReeveJanna HutzNan BingSally JohnDaniel G. MacArthurVeikko SalomaaSamuli RipattiHakon HakonarsonMark J. DalyAarno PalotieDavid A. HindsPeter DonnellyCaroline S. FoxAaron G. Day-WilliamsRobert M. PlengeHeiko RunzNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Dorothée Diogo
Chao Tian
Christopher S. Franklin
Mervi Alanne-Kinnunen
Michael March
Chris C. A. Spencer
Ciara Vangjeli
Michael E. Weale
Hannele Mattsson
Elina Kilpeläinen
Patrick M. A. Sleiman
Dermot F. Reilly
Joshua McElwee
Joseph C. Maranville
Arnaub K. Chatterjee
Aman Bhandari
Khanh-Dung H. Nguyen
Karol Estrada
Mary-Pat Reeve
Janna Hutz
Nan Bing
Sally John
Daniel G. MacArthur
Veikko Salomaa
Samuli Ripatti
Hakon Hakonarson
Mark J. Daly
Aarno Palotie
David A. Hinds
Peter Donnelly
Caroline S. Fox
Aaron G. Day-Williams
Robert M. Plenge
Heiko Runz
Phenome-wide association studies across large population cohorts support drug target validation
description Testing the association between genetic variants and a range of phenotypes can assist drug development. Here, in a phenome-wide association study in up to 697,815 individuals, Diogo et al. identify genotype–phenotype associations predicting efficacy, alternative indications or adverse drug effects.
format article
author Dorothée Diogo
Chao Tian
Christopher S. Franklin
Mervi Alanne-Kinnunen
Michael March
Chris C. A. Spencer
Ciara Vangjeli
Michael E. Weale
Hannele Mattsson
Elina Kilpeläinen
Patrick M. A. Sleiman
Dermot F. Reilly
Joshua McElwee
Joseph C. Maranville
Arnaub K. Chatterjee
Aman Bhandari
Khanh-Dung H. Nguyen
Karol Estrada
Mary-Pat Reeve
Janna Hutz
Nan Bing
Sally John
Daniel G. MacArthur
Veikko Salomaa
Samuli Ripatti
Hakon Hakonarson
Mark J. Daly
Aarno Palotie
David A. Hinds
Peter Donnelly
Caroline S. Fox
Aaron G. Day-Williams
Robert M. Plenge
Heiko Runz
author_facet Dorothée Diogo
Chao Tian
Christopher S. Franklin
Mervi Alanne-Kinnunen
Michael March
Chris C. A. Spencer
Ciara Vangjeli
Michael E. Weale
Hannele Mattsson
Elina Kilpeläinen
Patrick M. A. Sleiman
Dermot F. Reilly
Joshua McElwee
Joseph C. Maranville
Arnaub K. Chatterjee
Aman Bhandari
Khanh-Dung H. Nguyen
Karol Estrada
Mary-Pat Reeve
Janna Hutz
Nan Bing
Sally John
Daniel G. MacArthur
Veikko Salomaa
Samuli Ripatti
Hakon Hakonarson
Mark J. Daly
Aarno Palotie
David A. Hinds
Peter Donnelly
Caroline S. Fox
Aaron G. Day-Williams
Robert M. Plenge
Heiko Runz
author_sort Dorothée Diogo
title Phenome-wide association studies across large population cohorts support drug target validation
title_short Phenome-wide association studies across large population cohorts support drug target validation
title_full Phenome-wide association studies across large population cohorts support drug target validation
title_fullStr Phenome-wide association studies across large population cohorts support drug target validation
title_full_unstemmed Phenome-wide association studies across large population cohorts support drug target validation
title_sort phenome-wide association studies across large population cohorts support drug target validation
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/cb9fc601268446ca86cfc25a436b40c6
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