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

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Bibliographic Details
Title:	Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.
Authors:	Nisbet L; Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom., Wu Y; Institute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China., Adams M; Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom., Lynall ME; Department of Psychiatry, University of Oxford, Oxford, United Kingdom; Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom., Hjerling-Leffler J; Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden., Wray NR; Department of Psychiatry, University of Oxford, Oxford, United Kingdom; Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia., McIntosh AM; Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom., Shen X; Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom. Electronic address: xueyi.shen@ed.ac.uk.
Corporate Authors:	Psychiatric Genomics Consortium Functional Genomics Working Group
Source:	Biological psychiatry [Biol Psychiatry] 2026 Jun 15; Vol. 99 (12), pp. 1120-1129. Date of Electronic Publication: 2025 Dec 15.
Publication Type:	Journal Article
Journal Info:	Publisher: Elsevier Country of Publication: United States NLM ID: 0213264 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2402 (Electronic) Linking ISSN: 00063223 NLM ISO Abbreviation: Biol Psychiatry Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1873-2402
DOI:	10.1016/j.biopsych.2025.11.024