Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression

Our results highlight promising new targets for biomarker and drug target identification and successfully expand on GWAS findings to identify novel associations with MD. However, our study took a broad approach using bulk brain and blood tissues. Future research should expand these analyses into cell- and region-specific contexts.

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Publication Details

Journal
Biological Psychiatry
Published
2025-12-01
DOI
https://doi.org/10.1016/j.biopsych.2025.11.024
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression

Andrew Mark McIntosh, Xueyi Shen, Naomi R. Wray, Jens Hjerling‐Leffler et al.
Biological Psychiatry
Genetic Associations and Epidemiology
article

Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression

Andrew Mark McIntosh, Xueyi Shen, Naomi R. Wray, Jens Hjerling‐Leffler, Yang Wu, Mark J. Adams, Mary-Ellen Lynall, Laurence Nisbet
article en

Abstract

Our results highlight promising new targets for biomarker and drug target identification and successfully expand on GWAS findings to identify novel associations with MD. However, our study took a broad approach using bulk brain and blood tissues. Future research should expand these analyses into cell- and region-specific contexts.

Biological Psychiatry
The University of Queensland (AU), Sichuan University (CN), Karolinska Institutet (SE), University of Oxford (GB), West China Hospital of Sichuan University (CN), Bridge University (SS), University of Edinburgh (GB)
Wellcome Trust, UK Research and Innovation, British Heart Foundation, European Commission, National Institutes of Health, Gillings School of Public Health, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 58%
Genetic Associations and Epidemiology
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