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February 5, 2026MedicineOpen Access

Multi-omics data reveal causal associations of cellular senescence-related genes in rheumatoid arthritis: A summary-data-based Mendelian randomization and co-localization analysis

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Authors

PJPing JiangYJYouji JiaJZJuhua Zhang

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Overview

Multi-omics data reveal gene associations with rheumatoid arthritis, suggesting new therapeutic targets.

Key Points

  • To evaluate the causal relationships between cellular senescence-related genes and rheumatoid arthritis risk.
  • Integrated multi-omics data, including methylation, expression, and protein quantitative trait loci.
  • Applied Mendelian randomization to assess causal associations with RA.
  • Conducted co-localization analysis to confirm shared genetic variants.
  • Identified 5 key senescence-related genes associated with RA: BCL2L1, DNMT3B, ERRFI1, NEK4, RAF1.
  • Methylation variations at specific sites in BCL2L1 and RAF1 showed significant associations with RA risk.
  • Found both negative and positive associations in DNMT3B, ERRFI1, and NEK4 with RA, highlighting their regulatory roles.

Cite This Study

Jiang et al. (2026) studied this question.

synapsesocial.com/papers/69843398f1d9ada3c1fb0dd1https://doi.org/10.1097/md.0000000000047376
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