Cargando…

Genome-wide approaches to antidepressant treatment: working towards understanding and predicting response

Antidepressants are among the most commonly prescribed drugs, and a range of medications are available. However, treatment response to a particular drug varies greatly between patients, with only 30% of patients responding well to the first treatment administered. Given evidence that antidepressant...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hodgson, Karen, Mufti, Shaista Jeelani, Uher, Rudolf, McGuffin, Peter
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2012
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3698532/ https://www.ncbi.nlm.nih.gov/pubmed/22738351 http://dx.doi.org/10.1186/gm351

Ejemplares similares

DNA methylation in interleukin-11 predicts clinical response to antidepressants in GENDEP
por: Powell, T R, et al.
Publicado: (2013)

Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables
por: Iniesta, Raquel, et al.
Publicado: (2018)

The genome‐wide expression effects of escitalopram and its relationship to neurogenesis, hippocampal volume, and antidepressant response
por: Powell, Timothy R., et al.
Publicado: (2017)

Exploring the role of drug-metabolising enzymes in antidepressant side effects
por: Hodgson, Karen, et al.
Publicado: (2015)

Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets'
por: Cattaneo, Annamaria, et al.
Publicado: (2013)

Interaction between stress and the BDNF Val66Met polymorphism in depression: a systematic review and meta-analysis
por: Hosang, Georgina M, et al.
Publicado: (2014)

Highly polygenic architecture of antidepressant treatment response: Comparative analysis of SSRI and NRI treatment in an animal model of depression
por: Malki, Karim, et al.
Publicado: (2016)

Predictive and Experimental Approaches for Elucidating Protein–Protein Interactions and Quaternary Structures
por: Nealon, John Oliver, et al.
Publicado: (2017)

Genetic Predictors of Response to Serotonergic and Noradrenergic Antidepressants in Major Depressive Disorder: A Genome-Wide Analysis of Individual-Level Data and a Meta-Analysis
por: Tansey, Katherine E., et al.
Publicado: (2012)

Childhood maltreatment and the medical morbidity in bipolar disorder: a case–control study
por: Hosang, Georgina M., et al.
Publicado: (2017)

The endogenous and reactive depression subtypes revisited: integrative animal and human studies implicate multiple distinct molecular mechanisms underlying major depressive disorder
por: Malki, Karim, et al.
Publicado: (2014)

ReFOLD3: refinement of 3D protein models with gradual restraints based on predicted local quality and residue contacts
por: Adiyaman, Recep, et al.
Publicado: (2021)

Toward achieving optimal response: understanding and managing antidepressant side effects
por: Kelly, Karen, et al.
Publicado: (2008)

Recent development in health educations in schools in Northern Ireland.
por: McGuffin, S. J.
Publicado: (1978)

Drinking patterns of young people in Northern Ireland.
por: McGuffin, S. J.
Publicado: (1979)

Irving Gottesman: American psychologist and behaviour geneticist who radically changed traditional views of schizophrenia
por: McGuffin, Peter
Publicado: (2017)

Integrated genome-wide methylation and expression analyses reveal functional predictors of response to antidepressants
por: Ju, Chelsey, et al.
Publicado: (2019)

The FunFOLD2 server for the prediction of protein–ligand interactions
por: Roche, Daniel B., et al.
Publicado: (2013)

Psiquiatría : Notas para estudiantes de medicina/
por: McGuffin, P. (Peter)
Publicado: (1992)

Benchmarking consensus model quality assessment for protein fold recognition
por: McGuffin, Liam J
Publicado: (2007)

Understanding and Predicting Antidepressant Response: Using Animal Models to Move Toward Precision Psychiatry
por: Herzog, David P., et al.
Publicado: (2018)

FunFOLDQA: A Quality Assessment Tool for Protein-Ligand Binding Site Residue Predictions
por: Roche, Daniel B., et al.
Publicado: (2012)

Safe Use of Herbal Kelp Supplements
por: McGuffin, Michael, et al.
Publicado: (2007)

The successful search for genetic loci associated with depression
por: Rivera, Margarita, et al.
Publicado: (2015)

Proteins and Their Interacting Partners: An Introduction to Protein–Ligand Binding Site Prediction Methods
por: Roche, Daniel Barry, et al.
Publicado: (2015)

Sexual dysfunction during treatment with serotonergic and noradrenergic antidepressants: Clinical description and the role of the 5-HTTLPR
por: Strohmaier, Jana, et al.
Publicado: (2011)

The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction
por: Roche, Daniel B., et al.
Publicado: (2011)

FunFOLD: an improved automated method for the prediction of ligand binding residues using 3D models of proteins
por: Roche, Daniel B, et al.
Publicado: (2011)

Chipping away at major depressive disorder
por: Rucker, James JH, et al.
Publicado: (2014)

Methods for the Refinement of Protein Structure 3D Models
por: Adiyaman, Recep, et al.
Publicado: (2019)

Bilateral Exertional Compartment Syndrome With Endoscopic Fasciotomy Surgical Intervention in a High School Athlete
por: Gwinn, Madeleine C, et al.
Publicado: (2021)

Are the integrin binding motifs within SARS CoV-2 spike protein and MHC class II alleles playing the key role in COVID-19?
por: Gerencer, Marijan, et al.
Publicado: (2023)

Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts
por: Ward, Joey, et al.
Publicado: (2018)

Genome-wide approaches to understanding human ageing
por: Kaeberlein, Matt
Publicado: (2006)

Genome Wide Association Analysis of Copy Number Variation in Recurrent Depressive Disorder
por: Rucker, James J.H., et al.
Publicado: (2011)

Developing an Electroencephalography-Based Model for Predicting Response to Antidepressant Medication
por: Schwartzmann, Benjamin, et al.
Publicado: (2023)

Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental Studies
por: Atkins, Jennifer D., et al.
Publicado: (2015)

Urticarial Vasculitis in a Teenage Girl
por: McGuffin, Aaron, et al.
Publicado: (2013)

Machine learning, statistical learning and the future of biological research in psychiatry
por: Iniesta, R., et al.
Publicado: (2016)

Hand, Foot, and Mouth Disease Associated With Transient Hyperphosphatasemia
por: Verma, Anisha, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_vo8h18tkv16l0umjk0r8471e5q