Rare-variant association testing for sequencing data with the sequence kernel association test.
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Summary
The sequence kernel association test (SKAT) is proposed, a supervised, flexible, computationally efficient regression method to test for association between genetic variants (common and rare) in a region and a continuous or dichotomous trait while easily adjusting for covariates.
- Type
- article
- Published
- 2011-07-15
- Cited by
- 2,091
- References
- 10
- Access
- Open access
- OpenAlex
- https://openalex.org/W2163953557
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12853928
Keywords
Genetic association, Association test, Covariate, Genome-wide association study, Type I and type II errors
References
- A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic
- Variance component testing in generalised linear models with random effects
- Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data.
- Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models
- Hypothesis testing in semiparametric additive mixed models.
- Testing for an Unusual Distribution of Rare Variants
- An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Cited by
- Identification of Functional Variants in Alzheimer's Disease-Associated Genes
- Contribution of IKBKE and IFIH1 gene variants to SLE susceptibility
- A Robust Model-free Approach for Rare Variants Association Studies Incorporating Gene-Gene and Gene-Environmental Interactions
- Set-based joint test of interaction between SNPs in the VEGF pathway and exogenous estrogen finds association with age-related macular degeneration.
- TARV: Tree-based Analysis of Rare Variants Identifying Risk Modifying Variants in CTNNA2 and CNTNAP2 for Alcohol Addiction
- Pedigree-based random effect tests to screen gene pathways
- A partition-based approach to identify gene-environment interactions in genome wide association studies
- Rare variant association studies: considerations, challenges and opportunities
- Small-Sample Kernel Association Tests for Human Genetic and Microbiome Association Studies
- The impact of genotype calling errors on family-based studies
- Coding-sequence variants are associated with blood lipid levels in 14,473 Chinese.
- Pathway-based approach using hierarchical components of collapsed rare variants
- Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association
- Rare Coding Variants in ANGPTL6 Are Associated with Familial Forms of Intracranial Aneurysm.
- Genome-wide association analysis identifies new candidate risk loci for familial intracranial aneurysm in the French-Canadian population
- Absence of Mutation Enrichment for Genes Phylogenetically Conserved in the Olivocerebellar Motor Circuitry in a Cohort of Canadian Essential Tremor Cases
- Joint Analysis of Multiple Interaction Parameters in Genetic Association Studies
- Bayesian Parametric and Nonparametric Methods for Multiple QTL Mapping and SNP-Set Analysis
- Genetically proxied HTRA1 protease activity and circulating levels independently predict risk of ischemic stroke and coronary artery disease
- The genetic associations of rhegmatogenous retinal detachment and ectopia lentis
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