Pathway‐Based Association Study of Multiple Candidate Genes and Multiple Traits Using Structural Equation Models
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Summary
This paper adopts generalized structured component analysis (GSCA) as an approach to SEM and develops a single association test between multiple genetic variants in a gene and a set of correlated traits, taking into account all available data from other genes and other traits.
- Type
- article
- Published
- 2015-02-01
- Cited by
- 22
- References
- 24
- OpenAlex
- https://openalex.org/W2065470578
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:25712359
Keywords
Structural equation modeling, Genetic association, Univariate, Candidate gene, Association test
References
- An R Companion to Applied Regression
- Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling
- Evaluating aggregate effects of rare and common variants in the 1000 Genomes Project exon sequencing data using latent variable structural equation modeling
- MultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS
- Latent Variable Path Modeling with Partial Least Squares
- Generalized structured component analysis
- Analysis of covariance structures
- A Principal-Components Approach Based on Heritability for Combining Phenotype Information
- Genome-wide association analysis for multiple continuous secondary phenotypes.
- A general method for analysis of covariance structures
- Gene-Based Tests of Association
- Analysing biological pathways in genome-wide association studies
- Fuzzy Clusterwise Generalized Structured Component Analysis
- TATES: Efficient Multivariate Genotype-Phenotype Analysis for Genome-Wide Association Studies
- Regularized Generalized Structured Component Analysis
- Handbook of Partial Least Squares
- Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges
- HAPGEN2: simulation of multiple disease SNPs
- Estimation of the standard deviation of a normal population from doubly censored samples using normal scores
- Pleiotropy and principal components of heritability combine to increase power for association analysis
Cited by
- ASGSCA-package Association Studies for multiple SNPs and multiple traits using Gen- eralized Structured Component Analysis
- A Multi-locus Approach to Characterization of Major Quantitative Trait Loci Influencing Hb F Regulation in Chinese β-thalassemia Carriers
- Model Evaluation in Generalized Structured Component Analysis Using Confirmatory Tetrad Analysis
- Stage 1 Registered Report: Variation in neurodevelopmental outcomes in children with sex chromosome trisomies: protocol for a test of the double hit hypothesis
- Stage 2 Registered Report: Variation in neurodevelopmental outcomes in children with sex chromosome trisomies: testing the double hit hypothesis
- Generalized Structured Component Analysis in candidate gene association studies: applications and limitations
- A knowledge-based multivariate statistical method for examining gene-brain-behavioral/cognitive relationships: Imaging genetics generalized structured component analysis
- The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial.
- A comparative evaluation of factor- and component-based structural equation modelling approaches under (in)correct construct representations.
- Struggling to make ends meet: can consumer financial behaviors improve?
- Structural Causality Between National Examination Score and The School Accreditation Categories
- Partial least squares as a tool for scientific inquiry: comments on Cadogan and Lee
- A comparative study of the predictive power of component-based approaches to structural equation modeling
- A critical assessment of sparse PCA (research): why (one should acknowledge that) weights are not loadings
- Deep Learning Generalized Structured Component Analysis: An Interpretable Artificial Neural Network Model with Composite Indexes
- Influence of genetic polymorphism and trauma on cortical structures and PTSD severity: Imaging genetics generalized structured component analysis
- ShinyDegSEM: an interactive application for pathway perturbation analysis in gene expression studies via structural equation modeling
- Postpartum obsessive compulsive symptom onset: Modeling a pathway of risk.
- Stage 1 Registered Report: Variation in neurodevelopmental outcomes in children with sex chromosome trisomies: protocol for a test of the double hit hypothesis
- Misspecifications in structural equation modeling: The choice of latent variables, causal-formative constructs or composites
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