Polynomial Mendelian randomization reveals non-linear causal effects for obesity-related traits
Causal inference is a critical step in improving our understanding of biological processes, and Mendelian randomization (MR) has emerged as one of the foremost methods to efficiently interrogate diverse hypotheses using large-scale, observational data from biobanks. Although many extensions have bee...
| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2022-07-01
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| シリーズ: | HGG Advances |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2666247722000409 |