Multiomic prioritisation of risk genes for anorexia nervosa.

ABSTRACT:

Background

Anorexia nervosa (AN) is a psychiatric disorder associated with marked morbidity. Whilst AN genetic studies could identify novel treatment targets, integration of functional genomics data, including transcriptomics and proteomics, would assist to disentangle correlated signals and reveal causally associated genes.

Methods

We used models of genetically imputed expression and splicing from 14 tissues, leveraging mRNA, protein, and mRNA alternative splicing weights to identify genes, proteins, and transcripts, respectively, associated with AN risk. This was accomplished through transcriptome, proteome, and spliceosome-wide association studies, followed by conditional analysis and finemapping to prioritise candidate causal genes.

Results

We uncovered 134 genes

SUBMITTER: Adams DM 

PROVIDER: S-EPMC10600818 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature