ArticleGenetics2017
RL-SKAT: An Exact and Efficient Score Test for Heritability and Set Tests.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Trial
- Variational sparse Gaussian-process method for detecting spatially variable genes and cellular interactions in spatial transcriptomics.Briefings in bioinformatics · 2026Article
- Flexible Bayesian Inference for Identifying Significantly Correlated Multiple Pathway Sets.Statistics in medicine · 2026Article
- Marginal interaction test for detecting interactions between genetic marker sets and environment in genome-wide studies.G3 (Bethesda, Md.) · 2025Article
- Excalibur: A new ensemble method based on an optimal combination of aggregation tests for rare-variant association testing for sequencing data.PLoS computational biology · 2023Article
- Fast kernel-based association testing of non-linear genetic effects for biobank-scale data.Nature communications · 2023Article
- Variant-set association test for generalized linear mixed model.Genetic epidemiology · 2021Article
- Penalized partial least squares for pleiotropy.BMC bioinformatics · 2021Article
- A review of kernel methods for genetic association studies.Genetic epidemiology · 2019Review
- Detecting heritable phenotypes without a model using fast permutation testing for heritability and set-tests.Nature communications · 2018Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Testing for the existence of variance components in linear mixed models is a fundamental task in many applicative fields. In statistical genetics, the score test has recently become instrumental in the task of testing an association between a set of genetic markers and a phenotype. With few markers, this amounts to set-based variance component tests, which attempt to increase power in association studies by aggregating weak individual effects. When the entire genome is considered, it allows testing for the heritability of a phenotype, defined as the proportion of phenotypic variance explained by genetics. In the popular score-based Sequence Kernel Association Test (SKAT) method, the assumed distribution of the score test statistic is uncalibrated in small samples, with a correction being computationally expensive. This may cause severe inflation or deflation of
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Registered trials
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