Mediation analysis of multiple mediators with incomplete omics data

• Published in: Genetic epidemiology Vol. 47; no. 1; pp. 61 - 77
• Main Authors: Kidd, John, Raulerson, Chelsea K., Mohlke, Karen L., Lin, Dan‐Yu
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.02.2023
• Subjects: adipose tissue; Algorithms; Computer Simulation; DNA methylation; expectation–maximization algorithm; Genetic diversity; Genotype; Genotypes; Humans; Likelihood Functions; maximum likelihood; Mediation Analysis; Metabolic syndrome; Metabolism; Missing data; Models, Genetic; Nucleotide sequence; Phenotypes; Regression analysis; type 2 diabetes; adipose tissue; type 2 diabetes; expectation-maximization algorithm; missing data; maximum likelihood

There is an increasing interest in using multiple types of omics features (e.g., DNA sequences, RNA expressions, methylation, protein expressions, and metabolic profiles) to study how the relationships between phenotypes and genotypes may be mediated by other omics markers. Genotypes and phenotypes...