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Bayesian Network QTL Inference for Causal Pathway Reconstruction

Agricultural Bioinformatics

GWAS & QTL Mapping in Agricultural Traits

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Multi-trait GWAS Integration for Pleiotropic Effect Detection Fine-mapping QTL Through Machine Learning Approaches Environmental Interaction GWAS for Genotype-by-Environment Effects Haplotype Block Analysis for Linkage Disequilibrium Patterns Trans-eQTL Mapping for Gene Regulatory Network Discovery Rare Variant GWAS Using Sequence Data Aggregation Methods Population Structure Correction in Mixed-ancestry GWAS Studies Epistatic Interaction Detection Through Two-locus QTL Scanning Cross-species GWAS Synteny Analysis for Functional Annotation

Agricultural Bioinformatics › GWAS & QTL Mapping in Agricultural Traits

Bayesian Network QTL Inference for Causal Pathway Reconstruction

This research applies probabilistic graphical models to infer causal relationships among QTL loci and intermediate phenotypes in multi-generational crop pedigrees. The methodology produces directed acyclic graphs representing genetic architecture and identifies key causal nodes for targeted breeding intervention.

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