ArticleNature methods2022
A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies.
Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 3 of them syntheses that pooled it.
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Who cites it
80 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Whole genome sequence analysis of low-density lipoprotein cholesterol across 246 K individuals.Genome biology · 2025Pooled it
- Assessment of the functionality and usability of open-source rare variant analysis pipelines.Briefings in bioinformatics · 2025Pooled it
- Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies.Nature genetics · 2023Pooled it
- Explaining the unexplained admixture mapping signals via rare variants: the HCHS/SOL.Human molecular genetics · 2026Article
- Robust Inference With Ghostknockoffs in Genome-Wide Association Studies With Sample Relatedness.Genetic epidemiology · 2026Article
- Genome-Wide Association Study and Genomic Selection for Average Daily Gain in Ashidan Yak.Animals : an open access journal from MDPI · 2026Article
- Identification of novel loci regulating circulating melatonin and its causal relationship with hypertension.Human genetics · 2026Article
- Atlas of glomerular disease-specific genetic effects on blood transcriptome.medRxiv : the preprint server for health sciences · 2026Article
- Whole-genome sequencing implicates rare, low-frequency and structural non-coding variation at themedRxiv : the preprint server for health sciences · 2026Article
- MetaSTAARlite: an all-in-one tool for biobank-scale whole-genome sequencing meta-analysis.Nature computational science · 2026Article
- Whole genome sequencing analysis of over 3500 individuals dementia-free over 85 years old.Journal of Alzheimer's disease : JAD · 2026Article
- Integrating common and rare variants improves polygenic risk prediction across diverse populations.Nature communications · 2026Article
- Application of the STAAR framework in detecting rare variant associations with Alzheimer disease and related dementias: Insights and implications.HGG advances · 2026Article
- Genome-wide detection of human 5' UTR variants that impact protein translation.American journal of human genetics · 2026Article
- Rare coding and noncoding variants map 1,342 diseases and biomarkers in 490,549 whole genomes.medRxiv : the preprint server for health sciences · 2026Article
- Elucidating genetic backgrounds of myasthenia gravis in Japanese by genome-wide association studies and multi-omics analyses of thymoma.Nature communications · 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
- cellSTAAR: incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing of noncoding regions.Nature methods · 2026Article
- Archipelago Method for Variant Set Association Test Statistics.Genetic epidemiology · 2026Article
- Genetic Architecture of N-Terminal Pro-B-Type Natriuretic Peptide in a Multiancestry Study Population.Circulation. Genomic and precision medicine · 2026Article
20 more citing papers are in PubMed but not listed here.
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Abstract
Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate multiple functional annotations. In non-gene-centric analysis, STAARpipeline uses SCANG-STAAR to incorporate dynamic window sizes and multiple functional annotations. We apply STAARpipeline to identify noncoding RV sets associated with four lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several of them in an additional 9,123 TOPMed samples. We also analyze five non-lipid TOPMed traits.
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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.