Show Notes
Sharapov S et al., Nature Communications - This episode examines a large multi-cohort GWAS of the human plasma N-glycome (N≈10,764) that maps genetic regulation of protein N‑glycosylation. The study doubles known glyQTLs, prioritizes candidate genes expressed in liver and lymphoid tissue, integrates glycomics, proteomics and transcriptomics, and explores links to metabolic, liver and inflammatory diseases. Listeners will hear how tissue-specific regulatory networks and Mendelian randomization analyses nominate glycan biomarkers and mechanistic leads. Key terms: N-glycosylation, GWAS, liver disease, glycoproteins, glycomics.
Study Highlights:
Researchers performed the largest GWAS/meta-analysis of total plasma N-glycome in ~10,000 people and identified 40 replicated glyQTLs, including 25 loci newly associated with total plasma N-glycosylation. Using eight prioritization criteria they nominated 31 candidate genes and highlighted 13 novel genes—such as GCKR, TRIB1, HP, SERPINA1 and CFH—predominantly expressed in liver and linked to lipid metabolism and anti-inflammatory proteins. Network and colocalization analyses revealed strong tissue-specific regulation separating liver-secreted and immunoglobulin-linked glycans, and polygenic-score and Mendelian-randomization analyses connected high‑mannose glycans to lipid disorders and M6 glycans to asthma. The integrated resource supports discovery of glycan-based biomarkers and provides mechanistic hypotheses connecting glycosylation, liver disease, and inflammation.
Conclusion:
A comprehensive GWAS and multi-omics integration reveal extensive, tissue-specific genetic regulation of plasma N-glycosylation, nominate novel liver- and inflammation-related genes, and provide candidate glycan biomarkers and causal links to metabolic, liver and immune-related diseases.
Music:
Enjoy the music based on this article at the end of the episode.
Article title:
A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins
First author:
Sharapov S
Journal:
Nature Communications
DOI:
10.1038/s41467-025-60431-y
Reference:
Sharapov S, Timoshchuk A, Zaytseva O, et al. A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins. Nature Communications. 2025;16:5525. doi:10.1038/s41467-025-60431-y
License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
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Episode link: https://basebybase.com/episodes/ep91-plasma-n-glycome-liver-links
QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-30.
QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited the transcript’s coverage of glycosylation biology, study design and scale, glyQTL discovery and gene prioritization, tissue-specific regulation, Mendelian randomization and causal links to disease, biomarkers (A3G3S3/AST), and study limitations.
- transcript topics: Basics of protein N-glycosylation and glycans; Study design: GWAS meta-analysis of total plasma N-glycome; GlyQTL discovery and candidate gene prioritization; Tissue-specific regulation in liver vs immunoglobulins (lymphoid tissue); Mendelian randomization and causal links to liver, cardiovascular, and respiratory diseases; Biomarkers: A3G3S3 and AST
QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 6
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0
Metadata Audited:
- article_doi
- article_title
- article_journal
- license
Factual Items Audited:
- Total participants ~10,764 across seven studies; predominantly European ancestry
- 117 N-glycome traits analyzed (36 measured, 81 derived)
- 40 glyQTLs identified; 25 novel loci; 16 novel loci discovered; 13 prioritized genes (e.g., GCKR, TRIB1, HP, SERPINA1, CFH)
- Two tissue-specific regulatory subnetworks: liver-produced glycans vs immunoglobulin glycans; FUT8 shows tissue-specific regulation with distinct mechanisms
- Mendelian randomization indicates causal links: lipoprotein metabolism disorders affect M9/Mtotal; M6 glycan associated with asthma; bidirectional analyses
- A3G3S3 glycan associated with AST as a potential biomarker for liver pathogenesis
QC result: Pass.
