Alternative splicing induces sample-level variation in gene–gene correlations
We showed that splicing variation of a gene may interact with TE of the gene and affect the TE of co-expressed genes, resulting in substantial tissue-specific inter-sample variability in gene-gene correlation effects. Accounting for TE-splicing interaction effects could reduce potential confounding effects and improve the robustness of estimation when estimating gene-gene correlations from bulk tissue expression data.
Authors
- Lin Chen (ORCID: https://orcid.org/0000-0002-6645-5708)
- Yihao Lu
- Brandon L. Pierce (ORCID: https://orcid.org/0000-0002-7829-952X)
- Pei Wang (ORCID: https://orcid.org/0000-0002-6890-6453)
- Fan Yang (ORCID: https://orcid.org/0009-0005-9671-0991)
Institutions
- Colorado School of Public Health (US)
- Chicago Department of Public Health (US)
- University of Chicago (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- BMC Genomics
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1186/s12864-024-11118-z
- Primary Topic
- RNA Research and Splicing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health