Molecular insights into genome-wide association studies of chronic kidney disease-defining traits
The molecular mechanisms that underlie associations in GWAS, incl. chronic kidney disease (CKD), are largely unknown. Here, the authors perform an integrative analysis of genetic, transcriptomic and epigenomic data from human kidney to pinpoint plausible molecular pathways of CKD genetic association...
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Nature Portfolio
2018
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oai:doaj.org-article:0f05abda617a4890b8ef1af84fc59d192021-12-02T14:40:08ZMolecular insights into genome-wide association studies of chronic kidney disease-defining traits10.1038/s41467-018-07260-42041-1723https://doaj.org/article/0f05abda617a4890b8ef1af84fc59d192018-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07260-4https://doaj.org/toc/2041-1723The molecular mechanisms that underlie associations in GWAS, incl. chronic kidney disease (CKD), are largely unknown. Here, the authors perform an integrative analysis of genetic, transcriptomic and epigenomic data from human kidney to pinpoint plausible molecular pathways of CKD genetic associations.Xiaoguang XuJames M. EalesArtur AkbarovHui GuoLorenz BeckerDavid TalaveraFehzan AshrafJabran NawazSanjeev PramanikJohn BowesXiao JiangJohn DormerMatthew DenniffAndrzej AntczakMonika SzulinskaIngrid WisePriscilla R. PrestesMaciej GlydaPawel BogdanskiEwa Zukowska-SzczechowskaCarlo BerzuiniAdrian S. WoolfNilesh J. SamaniFadi J. CharcharMaciej TomaszewskiNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-12 (2018) |
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| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q Xiaoguang Xu James M. Eales Artur Akbarov Hui Guo Lorenz Becker David Talavera Fehzan Ashraf Jabran Nawaz Sanjeev Pramanik John Bowes Xiao Jiang John Dormer Matthew Denniff Andrzej Antczak Monika Szulinska Ingrid Wise Priscilla R. Prestes Maciej Glyda Pawel Bogdanski Ewa Zukowska-Szczechowska Carlo Berzuini Adrian S. Woolf Nilesh J. Samani Fadi J. Charchar Maciej Tomaszewski Molecular insights into genome-wide association studies of chronic kidney disease-defining traits |
| description |
The molecular mechanisms that underlie associations in GWAS, incl. chronic kidney disease (CKD), are largely unknown. Here, the authors perform an integrative analysis of genetic, transcriptomic and epigenomic data from human kidney to pinpoint plausible molecular pathways of CKD genetic associations. |
| format |
article |
| author |
Xiaoguang Xu James M. Eales Artur Akbarov Hui Guo Lorenz Becker David Talavera Fehzan Ashraf Jabran Nawaz Sanjeev Pramanik John Bowes Xiao Jiang John Dormer Matthew Denniff Andrzej Antczak Monika Szulinska Ingrid Wise Priscilla R. Prestes Maciej Glyda Pawel Bogdanski Ewa Zukowska-Szczechowska Carlo Berzuini Adrian S. Woolf Nilesh J. Samani Fadi J. Charchar Maciej Tomaszewski |
| author_facet |
Xiaoguang Xu James M. Eales Artur Akbarov Hui Guo Lorenz Becker David Talavera Fehzan Ashraf Jabran Nawaz Sanjeev Pramanik John Bowes Xiao Jiang John Dormer Matthew Denniff Andrzej Antczak Monika Szulinska Ingrid Wise Priscilla R. Prestes Maciej Glyda Pawel Bogdanski Ewa Zukowska-Szczechowska Carlo Berzuini Adrian S. Woolf Nilesh J. Samani Fadi J. Charchar Maciej Tomaszewski |
| author_sort |
Xiaoguang Xu |
| title |
Molecular insights into genome-wide association studies of chronic kidney disease-defining traits |
| title_short |
Molecular insights into genome-wide association studies of chronic kidney disease-defining traits |
| title_full |
Molecular insights into genome-wide association studies of chronic kidney disease-defining traits |
| title_fullStr |
Molecular insights into genome-wide association studies of chronic kidney disease-defining traits |
| title_full_unstemmed |
Molecular insights into genome-wide association studies of chronic kidney disease-defining traits |
| title_sort |
molecular insights into genome-wide association studies of chronic kidney disease-defining traits |
| publisher |
Nature Portfolio |
| publishDate |
2018 |
| url |
https://doaj.org/article/0f05abda617a4890b8ef1af84fc59d19 |
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