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Free, publicly-accessible full text available August 14, 2024
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Grant, Caroline W. ; Barreto, Erin F. ; Kumar, Rakesh ; Kaddurah-Daouk, Rima ; Skime, Michelle ; Mayes, Taryn ; Carmody, Thomas ; Biernacka, Joanna ; Wang, Liewei ; Weinshilboum, Richard ; et al ( , Journal of Personalized Medicine)Age at depressive onset (AAO) corresponds to unique symptomatology and clinical outcomes. Integration of genome-wide association study (GWAS) results with additional “omic” measures to evaluate AAO has not been reported and may reveal novel markers of susceptibility and/or resistance to major depressive disorder (MDD). To address this gap, we integrated genomics with metabolomics using data-driven network analysis to characterize and differentiate MDD based on AAO. This study first performed two GWAS for AAO as a continuous trait in (a) 486 adults from the Pharmacogenomic Research Network-Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS), and (b) 295 adults from the Combining Medications to Enhance Depression Outcomes (CO-MED) study. Variants from top signals were integrated with 153 p180-assayed metabolites to establish multi-omics network characterizations of early (
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