SynthesisNature genetics2023
Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies.
Synthesis in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Genome-wide analysis implicates inner ear development in Ménière disease.American journal of human genetics · 2026Pooled it
- Computationally efficient meta-analysis of gene-based tests using summary statistics in large-scale genetic studies.Nature genetics · 2025Pooled it
- Scalable and accurate rare variant meta-analysis with Meta-SAIGE.Nature genetics · 2025Pooled it
- Whole genome sequence analysis of low-density lipoprotein cholesterol across 246 K individuals.Genome biology · 2025Pooled it
- Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies.Bioinformatics (Oxford, England) · 2023Pooled it
- Robust Inference With Ghostknockoffs in Genome-Wide Association Studies With Sample Relatedness.Genetic epidemiology · 2026Article
- Isolation, Biocontrol Efficacy and Genomic Analysis ofMicroorganisms · 2026Article
- Article
- NERINE reveals rare variant associations in gene networks across phenotypes and implicates an SNCA-PRL-LRRK2 subnetwork in Parkinson's disease.Cell genomics · 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
- The Biobank Rare Variant consortium powers the discovery of rare genetic associations through global collaboration.medRxiv : the preprint server for health sciences · 2026Article
- Large scale wheat data integration improves genomic prediction accuracy with the potential to facilitate international breeding collaborations.Communications biology · 2026Article
- Integrating common and rare variants improves polygenic risk prediction across diverse populations.Nature communications · 2026Article
- Genomic signature driving preinvasive to invasive processes in stage I lung adenocarcinoma.International journal of cancer · 2026Article
- Integrated single marker scanning and sparse Bayesian learning improves performance of detection for GWAS.Plant methods · 2026Article
- Genome-wide analysis implicates inner ear development in Ménière's disease.medRxiv : the preprint server for health sciences · 2026Article
- Archipelago Method for Variant Set Association Test Statistics.Genetic epidemiology · 2026Article
- The era of "Infectious Diseases+" has arrived: multi-disciplinary integration in pediatric infectious disease prevention and control.Frontiers in pediatrics · 2026Review
- A scalable framework for identifying allelic series from summary statistics.American journal of human genetics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
61 authors.
Funding
Abstract
Meta-analysis of whole genome sequencing/whole exome sequencing (WGS/WES) studies provides an attractive solution to the problem of collecting large sample sizes for discovering rare variants associated with complex phenotypes. Existing rare variant meta-analysis approaches are not scalable to biobank-scale WGS data. Here we present MetaSTAAR, a powerful and resource-efficient rare variant meta-analysis framework for large-scale WGS/WES studies. MetaSTAAR accounts for relatedness and population structure, can analyze both quantitative and dichotomous traits and boosts the power of rare variant tests by incorporating multiple variant functional annotations. Through meta-analysis of four lipid traits in 30,138 ancestrally diverse samples from 14 studies of the Trans Omics for Precision Medicine (TOPMed) Program, we show that MetaSTAAR performs rare variant meta-analysis at scale and produces results comparable to using pooled data. Additionally, we identified several conditionally significant rare variant associations with lipid traits. We further demonstrate that MetaSTAAR is scalable to biobank-scale cohorts through meta-analysis of TOPMed WGS data and UK Biobank WES data of ~200,000 samples.
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.