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TITLE:
Local patterns of genetic sharing between neuropsychiatric and insulin resistance-related conditions - imarina:9452190

URV's Author/s:Salas Salvadó, Jorge
Author, as appears in the article.:Fanelli, Giuseppe; Franke, Barbara; Fabbri, Chiara; Werme, Josefin; Erdogan, Izel; De Witte, Ward; Poelmans, Geert; Ruisch, I Hyun; Reus, Lianne Maria; van Gils, Veerle; Jansen, Willemijn J; Vos, Stephanie J B; Alam, Kazi Asraful; Martinez, Aurora; Haavik, Jan; Wimberley, Theresa; Dalsgaard, Soren; Fothi, Abel; Barta, Csaba; Fernandez-Aranda, Fernando; Jimenez-Murcia, Susana; Berkel, Simone; Matura, Silke; Salas-Salvado, Jordi; Arenella, Martina; Serretti, Alessandro; Mota, Nina Roth; Bralten, Janita
Author's mail:jordi.salas@urv.cat
Author identifier:0000-0003-2700-7459
Journal publication year:2025
Publication Type:Journal Publications
APA:Fanelli, Giuseppe; Franke, Barbara; Fabbri, Chiara; Werme, Josefin; Erdogan, Izel; De Witte, Ward; Poelmans, Geert; Ruisch, I Hyun; Reus, Lianne Maria (2025). Local patterns of genetic sharing between neuropsychiatric and insulin resistance-related conditions. Translational Psychiatry, 15(1), 145-. DOI: 10.1038/s41398-025-03349-9
Paper original source:Translational Psychiatry. 15 (1): 145-
Abstract:The co-occurrence of insulin resistance (IR)-related metabolic conditions with neuropsychiatric disorders is a major public health challenge. Evidence of the genetic links between these phenotypes is emerging, but little is currently known about the genomic regions and biological functions that are involved. To address this, we performed Local Analysis of [co]Variant Association (LAVA) using large-scale (N = 9,725-933,970) genome-wide association studies (GWASs) results for three IR-related conditions (type 2 diabetes mellitus, obesity, and metabolic syndrome) and nine neuropsychiatric disorders. Subsequently, positional and expression quantitative trait locus (eQTL)-based gene mapping and downstream functional genomic analyses were performed on the significant loci. Patterns of negative and positive local genetic correlations (|r(g)| = 0.21-1, pFDR < 0.05) were identified at 109 unique genomic regions across all phenotype pairs. Local correlations emerged even in the absence of global genetic correlations between IR-related conditions and Alzheimer's disease, bipolar disorder, and Tourette's syndrome. Genes mapped to the correlated regions showed enrichment in biological pathways integral to immune-inflammatory function, vesicle trafficking, insulin signalling, oxygen transport, and lipid metabolism. Colocalisation analyses further prioritised 10 genetically correlated regions for likely harbouring shared causal variants, displaying high deleterious or regulatory potential. These variants were found within or in close proximity to genes, such as SLC39A8 and HLA-DRB1, that can be targeted by supplements and already known drugs, including omega-3/6 fatty acids, immunomodulatory, antihypertensive, and cholesterol-lowering drugs. Overall, our findings highlight the complex genetic architecture of IR-neuropsychiatric multimorbidity, advocating for an integrated disease model and offering novel insights for research and treatment strategies in this domain.
Article's DOI:10.1038/s41398-025-03349-9
Link to the original source:https://www.nature.com/articles/s41398-025-03349-9
Paper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Bioquímica i Biotecnologia
Research group:Alimentació, Nutrició, Desenvolupament i Salut Mental
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Saúde coletiva
Psychiatry and mental health
Psychiatry
Psicología
Nutrição
Medicina ii
Medicina i
Linguística e literatura
Interdisciplinar
Engenharias iv
Enfermagem
Educação física
Ciências biológicas ii
Ciências biológicas i
Cellular and molecular neuroscience
Biotecnología
Biological psychiatry
Keywords:Zinc-sulfate
Quantitative trait loci
Phenotype
Obesity
Metabolic syndrome
Mental disorders
Management
Lin
Insulin resistance
Humans
Genome-wide association study
Genetic predisposition to disease
Extracellular-matrix
Double-blind
Disorders
Diabetes mellitus, type 2
Bcl11a
Entity:Universitat Rovira i Virgili
Record's date:2025-04-30
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