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Phenotypic causal inference using genome-wide association study data: Mendelian randomization and beyond
Summary statistics for genome-wide association studies (GWAS) are increasingly available for downstream analyses. Meanwhile, the popularity of casual inference methods has grown as we look to gather robust evidence for novel medical and public health interventions. This has led to the development of...
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| 出版年: | Annu Rev Biomed Data Sci |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2022
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7614231/ https://ncbi.nlm.nih.gov/pubmed/35363507 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1146/annurev-biodatasci-122120-024910 |
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