TARV: Tree-based Analysis of Rare Variants Identifying Risk Modifying Variants in CTNNA2 and CNTNAP2 for Alcohol Addiction
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Summary
A tree‐based analysis of rare variants (TARV) that adopts a nonparametric disease model and is capable of exploring gene–gene interactions is proposed and found that TARV outperforms the sequence kernel association test (SKAT) in most of the authors' simulation scenarios, and by notable margins in some cases.
- Type
- dissertation
- Published
- 2014-07-15
- Cited by
- 22
- References
- 32
- Access
- Open access
- OpenAlex
- https://openalex.org/W25041903
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:13772377
Keywords
Political science
References
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- A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic
- Improving the precision of classification trees
- Molecular genetics of addiction and related heritable phenotypes: genome wide association approaches identify “connectivity constellation” and drug target genes with pleiotropic effects
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- Classification and regression trees
- Functional Linear Models for Association Analysis of Quantitative Traits
Cited by
- A Novel Statistic for Global Association Testing Based on Penalized Regression
- Genome-Wide Study of Response to Platinum, Taxane, and Combination Therapy in Ovarian Cancer: In vitro Phenotypes, Inherited Variation, and Disease Recurrence
- Prenatal Alcohol Exposure Is Associated With Adverse Cognitive Effects and Distinct Whole-Genome DNA Methylation Patterns in Primary School Children
- Genome-wide analyses to investigate the genetic factors underlying specific psychotic experiences in adolescence and their overlap with psychiatric disorders
- Association Analysis of Common and Rare SNVs using Adaptive Fisher Method to Detect Dense and Sparse Signals.
- Genome-wide association study of alcohol consumption in Russian population
- Glial cell mechanisms regulate alcohol sedation in Drosophila melanogaster
- Association of GDNF and CNTNAP2 gene variants with gambling
- Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets
- Supervariants identification for breast cancer
- Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data
- Super‐variants identification for brain connectivity
- Catenin Alpha 2 May Be a Biomarker or Potential Drug Target in Psychiatric Disorders with Perseverative Negative Thinking
- Deep learning identified genetic variants associated with COVID-19 related mortality
- Deep learning identified genetic variants for COVID-19 related mortality among 28,097 affected cases in UK Biobank
- Identification and validation of supervariants reveal novel loci associated with human white matter microstructure
- Extensive genetic interactions (epistasis) linked to alcohol use disorder in a high-risk population
- Identifying genetic variants for brain connectivity using Ball Covariance Ranking and Aggregation
- Empowering genome-wide association studies via a visualizable test based on the regional association score
- Genetic modifiers of frequent vaso-occlusive hospitalizations among individuals with sickle cell disease (SCD)
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