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Modelling the polygenicity and clinical heterogeneity of human depression in mice to identify biomarkers predictive of treatment response

2026-08-20

Abstract excerpt

<title>Abstract</title> <p>Major depressive disorders (MDD) are projected to become the leading cause of disease burden worldwide by 2030, but diverse etiological mechanisms mean that most patients respond poorly to first-line antidepressant treatments. Current rodent models of MDD are primarily based on exposure to a single genetic or environmental risk factor, which does not reflect the multifactorial and polyg...

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Literature Corpus work
039d189e-75dd-54ac-86df-30e332313c93
DOI
10.21203/rs.3.rs-10628410/v1
Open publication

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Modelling the polygenicity and clinical heterogeneity of human depression in mice to identify biomarkers predictive of treatment responseDOI 10.21203/rs.3.rs-10628410/v1
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