Show Notes
Collins RL et al et al., Nature - This episode reviews gnomAD-SV, a sequence-resolved reference of structural variants from 14,891 genomes that catalogs 433,371 SVs (335,470 high-quality) and integrates the resource into the gnomAD browser for population and clinical use. Key terms: structural variants, gnomAD-SV, whole-genome sequencing, dosage sensitivity, population genetics.
Study Highlights:
The authors built gnomAD-SV from high-coverage whole-genome sequencing across diverse populations and discovered a complex landscape of hundreds of thousands of SVs. They estimate SVs contribute about 25–29% of rare protein-truncating events per genome and show strong concordance between selection on damaging SNVs and rare gene-altering SVs. Noncoding CNVs show modest but widespread selection correlated with sequence conservation. The resource identifies very large rare SVs in a few percent of individuals and flags ~0.13% of people with SVs meeting existing criteria for clinically actionable incidental findings.
Conclusion:
gnomAD-SV provides a public, high-coverage reference of sequence-resolved structural variation that improves interpretation of SVs in population genetics, GWAS, and clinical whole-genome sequencing while noting short-read WGS underestimates some repeat-mediated and complex SV classes.
QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.
Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.
Factual QC score: 10/10.
Metadata QC score: 10/10.
Supported core claims: 8.
Claims flagged for review: 0.
Metadata checks passed: 4.
Metadata issues found: 0.
QC result: Pass.
Music:
Enjoy the music based on this article at the end of the episode.
Article title:
A structural variation reference for medical and population genetics
First author:
Collins RL et al
Journal:
Nature
DOI:
10.1038/s41586-020-2287-8
Reference:
Collins RL et al., A structural variation reference for medical and population genetics. Nature (2020). https://doi.org/10.1038/s41586-020-2287-8
License:
Creative Commons Attribution 4.0 International (CC BY 4.0)
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Episode link: https://basebybase.com/episodes/mapping-structural-variation-a-global-reference-for-clinical-and-population-genomics
