Sign in
Genetic & Genomic MedicineNature Computational Science
Peer-reviewed journal article

MetaSTAARlite: An all-in-one tool for biobank-scale whole-genome sequencing meta-analysis

Yohhan Kumarasinghe, Jacob WilliamsiD, Yuxin YuaniD, Wenbo WangiD, Julie-Alexia DiasiD, Haoyu ZhangiD, Zilin LiiD, Xihao LiiD

Abstract

Biobank-scale sequencing studies have enabled the analysis of rare variants contributing to complex traits. We introduce MetaSTAARlite, a scalable and resource-efficient summary statistics-based pipeline for functionally-informed rare variant meta-analysis in both the coding and noncoding genome, bypassing the data-sharing restrictions of pooled analysis using individual-level data across multiple biobanks. Using the sequencing data of UK Biobank and the All of Us Research Program, we demonstrate that MetaSTAARlites computation time, memory, and storage requirements scale linearly with sample size, while producing results highly concordant with those of a pooled analysis.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.