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...
Auteurs principaux: | Jonathan Sulc, Jennifer Sjaarda, Zoltán Kutalik |
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Format: | Article |
Langue: | English |
Publié: |
Elsevier
2022-07-01
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Collection: | HGG Advances |
Sujets: | |
Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2666247722000409 |
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