Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.
- DOI
- 10.1002/gepi.70043
- Published
- 2026 Sep
- Container
- Genetic epidemiology
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.1002/gepi.70043,
title = {Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.},
author = {Barry CJ and Zuber V and Lawlor DA and Borges MC and Sanderson E and Shapland CY},
year = {2026},
journal = {Genetic epidemiology},
doi = {10.1002/gepi.70043},
url = {https://doi.org/10.1002/gepi.70043}
}RIS
TY - JOUR TI - Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight. AU - Barry CJ AU - Zuber V AU - Lawlor DA AU - Borges MC AU - Sanderson E AU - Shapland CY PY - 2026 JO - Genetic epidemiology DO - 10.1002/gepi.70043 UR - https://doi.org/10.1002/gepi.70043 ER -
APA
CJ, B., V, Z., DA, L., MC, B., E, S., & CY, S. (2026). Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.. Genetic epidemiology. https://doi.org/10.1002/gepi.70043
Source records
- pubmed · retrieved 2026-09-25T07:14:17.669Z