A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
Genome-wide association studies of metabolites have revealed hundreds of genetic associations using univariate analyses. Here, the authors use a multivariate approach to perform association analyses for 158 serum metabolites, followed by fine mapping and GxE interaction tests with statin use and age...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2019-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-12703-7 |
| _version_ | 1818427085392183296 |
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| author | Apolline Gallois Joel Mefford Arthur Ko Amaury Vaysse Hanna Julienne Mika Ala-Korpela Markku Laakso Noah Zaitlen Päivi Pajukanta Hugues Aschard |
| author_facet | Apolline Gallois Joel Mefford Arthur Ko Amaury Vaysse Hanna Julienne Mika Ala-Korpela Markku Laakso Noah Zaitlen Päivi Pajukanta Hugues Aschard |
| author_sort | Apolline Gallois |
| collection | DOAJ |
| description | Genome-wide association studies of metabolites have revealed hundreds of genetic associations using univariate analyses. Here, the authors use a multivariate approach to perform association analyses for 158 serum metabolites, followed by fine mapping and GxE interaction tests with statin use and age. |
| first_indexed | 2024-12-14T14:40:07Z |
| format | Article |
| id | doaj.art-18f5d61c166a4f04bdb8979fa46f9cb9 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-14T14:40:07Z |
| publishDate | 2019-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-18f5d61c166a4f04bdb8979fa46f9cb92022-12-21T22:57:26ZengNature PortfolioNature Communications2041-17232019-10-0110111310.1038/s41467-019-12703-7A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and contextApolline Gallois0Joel Mefford1Arthur Ko2Amaury Vaysse3Hanna Julienne4Mika Ala-Korpela5Markku Laakso6Noah Zaitlen7Päivi Pajukanta8Hugues Aschard9Department of Computational Biology - USR 3756 CNRS, Institut PasteurDepartment of Medicine, University of CaliforniaDepartment of Human Genetics, University of CaliforniaDepartment of Computational Biology - USR 3756 CNRS, Institut PasteurDepartment of Computational Biology - USR 3756 CNRS, Institut PasteurSystems Epidemiology, Baker Heart and Diabetes InstituteDepartment of Medicine, University of Eastern Finland and Kuopio University HospitalDepartment of Medicine, University of CaliforniaDepartment of Human Genetics, University of CaliforniaDepartment of Computational Biology - USR 3756 CNRS, Institut PasteurGenome-wide association studies of metabolites have revealed hundreds of genetic associations using univariate analyses. Here, the authors use a multivariate approach to perform association analyses for 158 serum metabolites, followed by fine mapping and GxE interaction tests with statin use and age.https://doi.org/10.1038/s41467-019-12703-7 |
| spellingShingle | Apolline Gallois Joel Mefford Arthur Ko Amaury Vaysse Hanna Julienne Mika Ala-Korpela Markku Laakso Noah Zaitlen Päivi Pajukanta Hugues Aschard A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context Nature Communications |
| title | A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context |
| title_full | A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context |
| title_fullStr | A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context |
| title_full_unstemmed | A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context |
| title_short | A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context |
| title_sort | comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context |
| url | https://doi.org/10.1038/s41467-019-12703-7 |
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