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...

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Bibliografische gegevens
Hoofdauteurs: Jonathan Sulc, Jennifer Sjaarda, Zoltán Kutalik
Formaat: Artikel
Taal:English
Gepubliceerd in: Elsevier 2022-07-01
Reeks:HGG Advances
Onderwerpen:
Online toegang:http://www.sciencedirect.com/science/article/pii/S2666247722000409