A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue.

ABSTRACT:

Background

Tissue-specific analysis of the transcriptome is critical to elucidating the molecular basis of complex traits, but central tissues are often not accessible. We propose a methodology, Multi-mOdal-based framework to bridge the Transcriptome between PEripheral and Central tissues (MOTPEC).

Methods

Multi-modal regulatory elements in peripheral blood are incorporated as features for gene expression prediction in 48 central tissues. To demonstrate the utility, we apply it to the identification of BMI-associated genes and compare the tissue-specific results with those derived directly from surrogate blood.

Findings

MOTPEC models demonstrate superior performance compared with both baseline models in blood and existing models across the 48 central tissues. We ident

SUBMITTER: Xu Y 

PROVIDER: S-EPMC11388271 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature