题名 | Bayesian network-based Mendelian randomization for variant prioritization and phenotypic causal inference |
作者 | |
通讯作者 | Yu, Zhangsheng; Zhang, Yue |
发表日期 | 2024-02-01
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DOI | |
发表期刊 | |
ISSN | 0340-6717
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EISSN | 1432-1203
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摘要 | Mendelian randomization is a powerful method for inferring causal relationships. However, obtaining suitable genetic instrumental variables is often challenging due to gene interaction, linkage, and pleiotropy. We propose Bayesian network-based Mendelian randomization (BNMR), a Bayesian causal learning and inference framework using individual-level data. BNMR employs the random graph forest, an ensemble Bayesian network structural learning process, to prioritize candidate genetic variants and select appropriate instrumental variables, and then obtains a pleiotropy-robust estimate by incorporating a shrinkage prior in the Bayesian framework. Simulations demonstrate BNMR can efficiently reduce the false-positive discoveries in variant selection, and outperforms existing MR methods in terms of accuracy and statistical power in effect estimation. With application to the UK Biobank, BNMR exhibits its capacity in handling modern genomic data, and reveals the causal relationships from hematological traits to blood pressures and psychiatric disorders. Its effectiveness in handling complex genetic structures and modern genomic data highlights the potential to facilitate real-world evidence studies, making it a promising tool for advancing our understanding of causal mechanisms. |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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WOS研究方向 | Genetics & Heredity
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WOS类目 | Genetics & Heredity
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WOS记录号 | WOS:001168935000001
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出版者 | |
ESI学科分类 | MOLECULAR BIOLOGY & GENETICS
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来源库 | Web of Science
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引用统计 | |
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/789076 |
专题 | 南方科技大学医学院_公共卫生及应急管理学院 |
作者单位 | 1.Shanghai Jiao Tong Univ, Dept Bioinformat & Biostat, Shanghai, Peoples R China 2.Southern Univ Sci & Technol, Sch Publ Hlth & Emergency Management, Shenzhen, Peoples R China 3.Univ Bristol, MRC Integrat Epidemiol Unit, Bristol, England |
推荐引用方式 GB/T 7714 |
Sun, Jianle,Zhou, Jie,Gong, Yuqiao,et al. Bayesian network-based Mendelian randomization for variant prioritization and phenotypic causal inference[J]. HUMAN GENETICS,2024.
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APA |
Sun, Jianle.,Zhou, Jie.,Gong, Yuqiao.,Pang, Chongchen.,Ma, Yanran.,...&Zhang, Yue.(2024).Bayesian network-based Mendelian randomization for variant prioritization and phenotypic causal inference.HUMAN GENETICS.
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MLA |
Sun, Jianle,et al."Bayesian network-based Mendelian randomization for variant prioritization and phenotypic causal inference".HUMAN GENETICS (2024).
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条目包含的文件 | 条目无相关文件。 |
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