ArticleGenetic epidemiology2018
FastSKAT: Sequence kernel association tests for very large sets of markers.
Article in Genetic epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
22 citing papers in PubMed.
- Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits.Cell genomics · 2026Article
- Clade distillation for genome-wide association studies.Genetics · 2026Article
- Comprehensive gene heritability estimation reveals the genetic architecture of rare coding variants underlying complex traits.bioRxiv : the preprint server for biology · 2025Article
- Genetic modifiers of body mass index in individuals with cystic fibrosis.American journal of human genetics · 2024Article
- Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study.American journal of human genetics · 2023Article
- 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
- MATS: a novel multi-ancestry transcriptome-wide association study to account for heterogeneity in the effects of cis-regulated gene expression on complex traits.Human molecular genetics · 2023Article
- Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci.Bioinformatics (Oxford, England) · 2022Article
- sumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics.PLoS computational biology · 2022Article
- eSCAN: scan regulatory regions for aggregate association testing using whole-genome sequencing data.Briefings in bioinformatics · 2022Article
- Wavelet Screening: a novel approach to analyzing GWAS data.BMC bioinformatics · 2021Article
- A powerful subset-based method identifies gene set associations and improves interpretation in UK Biobank.American journal of human genetics · 2021Article
- SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data.Frontiers in genetics · 2021Article
- Identifying Susceptibility Loci for Cutaneous Squamous Cell Carcinoma Using a Fast Sequence Kernel Association Test.Frontiers in genetics · 2021Article
- Rare variant association testing in the non-coding genome.Human genetics · 2020Review
- Multi-Set Testing Strategies Show Good Behavior When Applied to Very Large Sets of Rare Variants.Frontiers in genetics · 2020Article
- Genetic association testing using the GENESIS R/Bioconductor package.Bioinformatics (Oxford, England) · 2019Article
- A review of kernel methods for genetic association studies.Genetic epidemiology · 2019Review
- Efficient Variant Set Mixed Model Association Tests for Continuous and Binary Traits in Large-Scale Whole-Genome Sequencing Studies.American journal of human genetics · 2019Article
- Whole-Genome Sequencing in Severe Chronic Obstructive Pulmonary Disease.American journal of respiratory cell and molecular biology · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The sequence kernel association test (SKAT) is widely used to test for associations between a phenotype and a set of genetic variants that are usually rare. Evaluating tail probabilities or quantiles of the null distribution for SKAT requires computing the eigenvalues of a matrix related to the genotype covariance between markers. Extracting the full set of eigenvalues of this matrix (an
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.