Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics
Mendelian Randomization approaches are being increasingly refined, but certain statistical limitations hinder their application to GWAS. Here, the authors propose a new Mendelian Randomization method to estimate bi- directional causal effects and explicitly account for heritable confounding.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-26970-w |
| _version_ | 1819177369074663424 |
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| author | Liza Darrous Ninon Mounier Zoltán Kutalik |
| author_facet | Liza Darrous Ninon Mounier Zoltán Kutalik |
| author_sort | Liza Darrous |
| collection | DOAJ |
| description | Mendelian Randomization approaches are being increasingly refined, but certain statistical limitations hinder their application to GWAS. Here, the authors propose a new Mendelian Randomization method to estimate bi- directional causal effects and explicitly account for heritable confounding. |
| first_indexed | 2024-12-22T21:25:33Z |
| format | Article |
| id | doaj.art-21528f32b40f4053802aec082b999ea9 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-22T21:25:33Z |
| publishDate | 2021-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-21528f32b40f4053802aec082b999ea92022-12-21T18:12:04ZengNature PortfolioNature Communications2041-17232021-12-0112111510.1038/s41467-021-26970-wSimultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statisticsLiza Darrous0Ninon Mounier1Zoltán Kutalik2University Center for Primary Care and Public Health, University of LausanneUniversity Center for Primary Care and Public Health, University of LausanneUniversity Center for Primary Care and Public Health, University of LausanneMendelian Randomization approaches are being increasingly refined, but certain statistical limitations hinder their application to GWAS. Here, the authors propose a new Mendelian Randomization method to estimate bi- directional causal effects and explicitly account for heritable confounding.https://doi.org/10.1038/s41467-021-26970-w |
| spellingShingle | Liza Darrous Ninon Mounier Zoltán Kutalik Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics Nature Communications |
| title | Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics |
| title_full | Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics |
| title_fullStr | Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics |
| title_full_unstemmed | Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics |
| title_short | Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics |
| title_sort | simultaneous estimation of bi directional causal effects and heritable confounding from gwas summary statistics |
| url | https://doi.org/10.1038/s41467-021-26970-w |
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