Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach.

ABSTRACT:

Motivation

Discovering genetic variations underpinning brain disorders is important to understand their pathogenesis. Indirect associations or spurious causal relationships pose a threat to the reliability of biomarker discovery for brain disorders, potentially misleading or incurring bias in subsequent decision-making. Unfortunately, the stringent selection of reliable biomarker candidates for brain disorders remains a predominantly unexplored challenge.

Results

In this article, to fill this gap, we propose a fresh and powerful scheme, referred to as the Causality-aware Genotype intermediate Phenotype Correlation Approach (Ca-GPCA). Specifically, we design a bidirectional association learning framework, integrated with a parallel causal variable decorrelation module and spa

SUBMITTER: Zhang J 

PROVIDER: S-EPMC12261482 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature