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Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data

机译：贝叶斯网络分析纳入遗传锚点补充了传统的孟德利安随机化方法，用于复杂数据中因果关系的探索性分析

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Richard Howey; So-Youn Shin; Caroline Relton; George Davey Smith; Heather J. Cordell;
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1. Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data [J] . Richard Howey, So-Youn Shin, Caroline Relton, PLoS Genetics . 2020,第3期

机译：贝叶斯网络分析纳入遗传锚点补充了传统的孟德利安随机化方法，用于复杂数据中因果关系的探索性分析
2. Investigating causal relationships between Body Mass Index and risk of atopic dermatitis: a Mendelian randomization analysis [J] . Yik Weng Yew, Marie Loh, Steven Tien Guan Thng, Scientific reports. . 2020,第1期

机译：调查体重指数与特应性皮炎风险的因果关系：孟德尔随机化分析
3. Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids [J] . Adriaan van der Graaf, Annique Claringbould, Antoine Rimbert, Nature Communications . 2020,第1期

机译：联合建模顺式遗传学的孟德尔随机化识别基因表达与脂质之间的因果关系
4. A Comparison of Association Rule Discovery and Bayesian Network Causal Inference Algorithms to Discover Relationships in Discrete Data [C] . Jim E. Greer, Jeff Bowes, Eric Neufeld, Biennial conference of the Canadian Society for computational studies of intelligence . 2000

机译：关联规则发现与贝叶斯网络因果推论算法的比较发现离散数据的关系
5. Causal not confounded gene networks: Inferring acyclic and non-acyclic gene Bayesian networks in mRNA expression studies using recursive V-structures, genetic variation, and orthogonal causal anchor structural equation models. [D] . Aten, Jason Erik. 2008

机译：因果不混淆的基因网络：使用递归V型结构，遗传变异和正交因果锚结构方程模型，在mRNA表达研究中推断无环和非无环基因贝叶斯网络。
6. Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data [O] . Richard Howey, So-Youn Shin, Caroline Relton, 2020

机译：结合遗传锚点的贝叶斯网络分析补充了常规孟德尔随机方法以探索性分析复杂数据中的因果关系
7. Genetic and Causal Relationship Between Coffee Intake and Cardiometabolic Risks: Cross-Phenotype Association And Mendelian Randomization Analysis [O] . Xinpei Wang, Jinzhu Jia, Tao Huang 2020

机译：咖啡摄入与心脏素质的遗传和因果关系：交叉表型协会与孟德尔随机化分析

Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data

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