| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-018-06540-3 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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