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Your search keyword '"Fabbri, Chiara"' showing total 114 results
Start Over Author "Fabbri, Chiara" Publisher elsevier b.v.
114 results on '"Fabbri, Chiara"'

1. Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance

Author

Colombo, Federica, Calesella, Federico, Bravi, Beatrice, Fortaner-Uyà, Lidia, Monopoli, Camilla, Tassi, Emma, Carminati, Matteo, Zanardi, Raffaella, Bollettini, Irene, Poletti, Sara, Lorenzi, Cristina, Spadini, Sara, Brambilla, Paolo, Serretti, Alessandro, Maggioni, Eleonora, Fabbri, Chiara, Benedetti, Francesco, and Vai, Benedetta

Published
2024
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4. Polygenic scores of subcortical brain volumes as possible modulators of treatment response in depression

Author

Potier, Marie-Claude, van Westrhenen, Roos, Rybakowski, Filip, Mehta, Divya, Dierssen, Mara, Janzing, Joost G.E., Liò, Pietro, Oliva, Vincenzo, Martone, Alfonso, Fanelli, Giuseppe, Domschke, Katharina, Minelli, Alessandra, Gennarelli, Massimo, Martini, Paolo, Bortolomasi, Marco, Maron, Eduard, Squassina, Alessio, Pisanu, Claudia, Kasper, Siegfried, Zohar, Joseph, Souery, Daniel, Montgomery, Stuart, Albani, Diego, Forloni, Gianluigi, Ferentinos, Panagiotis, Rujescu, Dan, Mendlewicz, Julien, De Ronchi, Diana, Baune, Bernhard T., Serretti, Alessandro, and Fabbri, Chiara

Published
2024
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6. Multi-omics data integration methods and their applications in psychiatric disorders

Author

Sathyanarayanan, Anita, Mueller, Tamara T., Ali Moni, Mohammad, Schueler, Katja, Baune, Bernhard T., Lio, Pietro, Mehta, Divya, Baune, Bernhard T, Dierssen, Mara, Ebert, Bjarke, Fabbri, Chiara, Fusar-Poli, Paolo, Gennarelli, Massimo, Harmer, Catherine, Howes, Oliver D., Janzing, Joost G.E., Maron, Eduard, Minelli, Alessandra, Nonell, Lara, Pisanu, Claudia, Potier, Marie-Claude, Rybakowski, Filip, Serretti, Alessandro, Squassina, Alessio, Stacey, David, van Westrhenen, Roos, and Xicota, Laura

Published
2023
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10. A meta-analysis of polygenic risk scores for mood disorders, neuroticism, and schizophrenia in antidepressant response

Author

Fanelli, Giuseppe, Domschke, Katharina, Minelli, Alessandra, Gennarelli, Massimo, Martini, Paolo, Bortolomasi, Marco, Maron, Eduard, Squassina, Alessio, Kasper, Siegfried, Zohar, Joseph, Souery, Daniel, Montgomery, Stuart, Albani, Diego, Forloni, Gianluigi, Ferentinos, Panagiotis, Rujescu, Dan, Mendlewicz, Julien, De Ronchi, Diana, Baune, Bernhard T, Serretti, Alessandro, and Fabbri, Chiara

Published
2022
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17. Effect of cytochrome CYP2C19 metabolizing activity on antidepressant response and side effects: Meta-analysis of data from genome-wide association studies

Author

Fabbri, Chiara, Tansey, Katherine E., Perlis, Roy H., Hauser, Joanna, Henigsberg, Neven, Maier, Wolfgang, Mors, Ole, Placentino, Anna, Rietschel, Marcella, Souery, Daniel, Breen, Gerome, Curtis, Charles, Lee, Sang-Hyuk, Newhouse, Stephen, Patel, Hamel, O'Donovan, Michael, Lewis, Glyn, Jenkins, Gregory, Weinshilboum, Richard M., Farmer, Anne, Aitchison, Katherine J., Craig, Ian, McGuffin, Peter, Schruers, Koen, Biernacka, Joanna M., Uher, Rudolf, and Lewis, Cathryn M.

Published
2018
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21. Stratification of individuals with lifetime depression and low wellbeing in the UK Biobank.

Author

Fabbri, Chiara, Mutz, Julian, Lewis, Cathryn M., and Serretti, Alessandro

Subjects
*ATTENTION-deficit hyperactivity disorder, *WELL-being, *MENTAL depression, *PERSONALITY, *MONOGENIC & polygenic inheritance (Genetics), *WORRY, *EXTRAVERSION
Abstract

Background: Previous studies stratified patients with major depressive disorder (MDD) based on their clinical characteristics. This study used this approach in individuals with lifetime MDD who reported low wellbeing, a group of high clinical relevance.Methods: We selected participants in the UK Biobank (UKB) with lifetime MDD and a wellbeing score in the lowest 25 %. A wellbeing score was previously created considering happiness, belief that own life is meaningful, health satisfaction and functioning in relevant areas. In the selected group, we applied latent class analysis using mood-spectrum symptoms and personality traits as input variables, then we compared the clinical-demographic and genetic (polygenic risk scores, PRSs) characteristics of the identified classes.Results: A total of 13,896 individuals were included and a model with five classes showed the best performance. The most common class (31.25 %) was characterised by periods of irritable mood and trait irritability with high neuroticism. A rarer class (16.49 %) showed depressive-manic mood fluctuations and risk-taking personality, higher percentage of males, atypical depressive symptoms, lower socio-economic status, higher PRS for attention-deficit hyperactivity disorder and lower PRS for education. The second most common class (29.79 %) showed worry as main personality trait with low risk of manic/irritable manifestations. The remaining classes showed an anxious-irritable personality profile and a purely depressive profile (4.92 % and 17.55 %, respectively).Limitations: Our results may reflect the characteristics of UKB participants.Conclusions: Subthreshold manic/irritable mood fluctuations and personality traits irritability and neuroticism may distinguish the most common groups with poor wellbeing in lifetime MDD. [ABSTRACT FROM AUTHOR]

Published
2022
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26. Polygenic risk scores for mood and related disorders and environmental factors: Interaction effects on wellbeing in the UK biobank.

Author

Fabbri, Chiara, Lewis, Cathryn M., and Serretti, Alessandro

Subjects
*GENETIC risk score, *WELL-being, *AFFECTIVE disorders, *SUBJECTIVE well-being (Psychology), *ATTENTION-deficit hyperactivity disorder, *CHILDREN of people with mental illness, *CONFOUNDING variables
Abstract

Mood disorders have a genetic and environmental component and interactions (GxE) on the risk of psychiatric diseases have been investigated. The same GxE interactions may affect wellbeing measures, which go beyond categorical diagnoses and reflect the health-disease continuum. We evaluated GxE effects in the UK Biobank, considering as outcomes subjective wellbeing (feeling good and functioning well) and objective measures (education and income). We estimated the polygenic risk scores (PRSs) of major depressive disorder, bipolar disorder, schizophrenia, and attention deficit hyperactivity disorder. Stressful/traumatic events during adulthood or childhood were considered as E variables, as well as social support. The addition of the PRSxE interaction to PRS and E variables was tested in linear or multinomial regression models, adjusting for confounders. We included 33 k–380 k participants, depending on the variables considered. Most PRSs and E factors showed additive effects on outcomes, with effect sizes generally 3–5 times larger for E variables than PRSs. We found some interaction effects, particularly when considering recent stress, history of a long illness/disability/infirmity, and social support. Higher PRSs increased the negative effects of stress on wellbeing, but they also increased the positive effects of social support, with interaction effects particularly for the outcomes health satisfaction, loneliness, and income (p < Bonferroni corrected threshold of 1.92e-4). PRSxE terms usually added ∼0.01–0.02% variance explained to the corresponding additive model. PRSxE effects on wellbeing involve both positive and negative E factors. Despite small variance explained at the population level, preventive/therapeutic interventions that modify E factors could be beneficial at the individual level. • Wellbeing has cross-diagnostic value and is associated with key predictors of health. • Polygenic risk scores (PRSs) of psychiatric disorders are associated with wellbeing. • Environmental (E) factors show stronger effects on wellbeing than PRSs. • PRS x E interaction effects were found for adulthood stress and social support. • Childhood events have strong effects on wellbeing without interaction with PRSs. [ABSTRACT FROM AUTHOR]

Published
2024
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41. 12 GENETIC UNDERPINNINGS OF SOCIABILITY

Author

Bralten, Janita, Klemann, Cornelius, Mota, Nina Roth, De Witte, Ward, Fabbri, Chiara, Milaneschi, Yuri, Kas, Martien, van der Wee, Nic, Penninx, Brenda, Serretti, Alessandro, Franke, Barbara, and Poelmans, Geert

Published
2019
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