ArticleAmerican journal of human genetics2019
Efficient Variant Set Mixed Model Association Tests for Continuous and Binary Traits in Large-Scale Whole-Genome Sequencing Studies.
Article in American journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 4 of them syntheses that pooled it.
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Who cites it
88 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- A cosmopolitan inversion facilitates seasonal adaptation in overwintering Drosophila.Genetics · 2024Pooled it
- Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies.Nature genetics · 2023Pooled it
- Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension.Hypertension (Dallas, Tex. : 1979) · 2022Pooled it
- Gene-based whole genome sequencing meta-analysis of 250 circulating proteins in three isolated European populations.Molecular metabolism · 2022Pooled it
- Transcript-aware rare genetic variant association analyses of cardiopulmonary traits in participants from the All of Us Research Program.Nature communications · 2026Article
- HiFiMAP: High-resolution fast identity-by-descent mapping test.medRxiv : the preprint server for health sciences · 2026Article
- Interactions between genetic and epidemiological factors influencing mammographic density.American journal of epidemiology · 2026Article
- Scalable and accurate rare-variant association tests for whole genome sequencing time-to-event analysis in large biobanks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Modeling and application of alzheimer's disease complex trait prediction based on multi-task learning.Scientific reports · 2026Article
- cellSTAAR: incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing of noncoding regions.Nature methods · 2026Article
- Whole genome sequence analysis of pulmonary function and COPD in 44,287 multi-ancestry participants.Genome biology · 2026Article
- The Impact of Structural Variation on Alzheimer's Disease in the Alzheimer's Disease Sequencing Project.Research square · 2026Article
- Genome-wide association study (GWAS) provides insights into the genomic basis of reproduction-related traits in Chouardia litardierei (Asparagaceae).BMC plant biology · 2025Article
- BCG induced innate immune response heterogeneity and susceptibility to pediatric tuberculosis.Journal of immunology (Baltimore, Md. : 1950) · 2025Article
- Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele.Nature communications · 2025Article
- Unveiling the Genetic Landscape of Coronary Artery Disease Through Common and Rare Structural Variants.Journal of the American Heart Association · 2025Article
- A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies.Nature computational science · 2025Article
- Dose-dependent role of AMH and AMHR2 signaling in male differentiation and regulation of sex determination in Spotted knifejaw (Oplegnathus punctatus) with XCell communication and signaling : CCS · 2025Article
- Uncovering the genomic basis of phenological traits inFrontiers in plant science · 2025Article
- Auto-branch multi-task learning for simultaneous prediction of multiple correlated traits associated with Alzheimer's disease.Frontiers in genetics · 2025Article
28 more citing papers are in PubMed but not listed here.
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48 authors.
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Abstract
With advances in whole-genome sequencing (WGS) technology, more advanced statistical methods for testing genetic association with rare variants are being developed. Methods in which variants are grouped for analysis are also known as variant-set, gene-based, and aggregate unit tests. The burden test and sequence kernel association test (SKAT) are two widely used variant-set tests, which were originally developed for samples of unrelated individuals and later have been extended to family data with known pedigree structures. However, computationally efficient and powerful variant-set tests are needed to make analyses tractable in large-scale WGS studies with complex study samples. In this paper, we propose the variant-set mixed model association tests (SMMAT) for continuous and binary traits using the generalized linear mixed model framework. These tests can be applied to large-scale WGS studies involving samples with population structure and relatedness, such as in the National Heart, Lung, and Blood Institute's Trans-Omics for Precision Medicine (TOPMed) program. SMMATs share the same null model for different variant sets, and a virtue of this null model, which includes covariates only, is that it needs to be fit only once for all tests in each genome-wide analysis. Simulation studies show that all the proposed SMMATs correctly control type I error rates for both continuous and binary traits in the presence of population structure and relatedness. We also illustrate our tests in a real data example of analysis of plasma fibrinogen levels in the TOPMed program (n = 23,763), using the Analysis Commons, a cloud-based computing platform.
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