Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 21, 2025Cell GenomicsOpen Access

Streamlining large-scale genomic data management: Insights from the UK Biobank whole-genome sequencing data

View Full Paper
Ask AI
Bookmark
Share

Authors

XLXihao LiAWAndrew R. WoodYYYuxin Yuan

Discussion

Loading...

Member takes

Overview

This analysis demonstrates improved management of whole-genome sequencing data in the UK Biobank, highlighting insights from the aGDS format and the STAARpipeline.

Key Points

  • The aGDS format significantly reduces whole-genome sequencing data file size, enhancing management decisions.
  • Using aGDS, the UK Biobank's 500k WGS dataset occupies only 1.10 tebibytes, promoting effective data usage.
  • The vcf2agds toolkit simplifies the conversion from VCF to aGDS format, streamlining data management.
  • STAARpipeline's integration with aGDS facilitates robust analysis of phenotype-genotype associations across large datasets.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68d46fd431b076d99fa6a210https://doi.org/10.1016/j.xgen.2025.101009
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Population scale whole genome sequencing provides novel insights into cardiometabolic health2024 · 1 citations
  2. 2Genomic data in the All of Us Research Program2024 · 842 citations
  3. 3SAIGEgds—an efficient statistical tool for large-scale PheWAS with mixed models2020 · 41 citations
  4. 4SeqArray—a storage-efficient high-performance data format for WGS variant calls2017 · 202 citations
  5. 5A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data2011 · 7,506 citations