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Article

MRSL: a causal network pruning algorithm based on GWAS summary data.

Briefings in bioinformatics - 22 Jan 2024

Hou Lei, Geng Zhi, Yuan Zhongshang, Shi Xu, Wang Chuan, Chen Feng, Li Hongkai, Xue Fuzhong

Abstract excerpt

Causal discovery is a powerful tool to disclose underlying structures by analyzing purely observational data. Genetic variants can provide useful complementary information for structure learning. Recently, Mendelian randomization (MR) studies have provided abundant marginal causal relationships of traits. Here, we propose a causal network pruning algorithm MRSL (MR-based structure learning algorithm) based on...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38487847
DOI: 10.1093/bib/bbae086
PMCID: PMC10940843

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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