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Showing 1–8 of 8 results

Advanced filters: Author: Victoria S. Marshe Clear advanced filters

A cross-disease resource of living human microglia identifies disease-enriched subsets and tool compounds recapitulating microglial states

Profiling >200,000 live human microglia from 74 donors across neurological diseases reveals 12 subtypes of microglia that were validated in situ. Camptothecin is also identified as a compound reducing disease-enriched microglial subsets.

John F. Tuddenham
Mariko Taga
Philip L. De Jager
Research15 Oct 2024
Nature Neuroscience

Volume: 27, P: 2521-2537
Effects of CYP2C19 and CYP2D6 gene variants on escitalopram and aripiprazole treatment outcome and serum levels: results from the CAN-BIND 1 study

Farhana Islam
Victoria S. Marshe
Daniel J. Müller
ResearchOpen Access06 Sept 2022
Translational Psychiatry

Volume: 12, P: 1-11
Exploratory genome-wide analyses of cortical inhibition, facilitation, and plasticity in late-life depression

Rafae A. Wathra
Xiaoyu Men
Daniel M. Blumberger
ResearchOpen Access30 Jun 2023
Translational Psychiatry

Volume: 13, P: 1-8
Polygenic risk scores analyses of psychiatric and metabolic traits with antipsychotic-induced weight gain in schizophrenia: an exploratory study

Kazunari Yoshida
Victoria S. Marshe
Daniel J. Müller
Research27 Apr 2023
The Pharmacogenomics Journal

Volume: 23, P: 119-126
Polygenic score analyses on antidepressant response in late-life depression, results from the IRL-GRey study

Samar S. M. Elsheikh
Victoria S. Marshe
Daniel J. Müller
Reviews22 Nov 2024
The Pharmacogenomics Journal

Volume: 24, P: 1-7
Genome-wide analysis suggests the importance of vascular processes and neuroinflammation in late-life antidepressant response

Victoria S. Marshe
Malgorzata Maciukiewicz
Daniel J. Müller
ResearchOpen Access15 Feb 2021
Translational Psychiatry

Volume: 11, P: 1-12
Older molecular brain age in severe mental illness

Chien-Wei Lin
Lun-Ching Chang
Etienne Sibille
Research06 Jul 2020
Molecular Psychiatry

Volume: 26, P: 3646-3656
A primer on the use of machine learning to distil knowledge from data in biological psychiatry

Thomas P. Quinn
Jonathan L. Hess
Stephen J. Glatt
Reviews04 Jan 2024
Molecular Psychiatry

Volume: 29, P: 387-401