Local patterns of genetic sharing challenge the boundaries between neuropsychiatric and insulin resistance-related conditions.

Journal: medRxiv : the preprint server for health sciences

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Affiliated Institutions:  Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands. Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy. Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands. Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands. Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands. Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands. Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands. Department of Biomedicine, University of Bergen, Norway. National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark. Department of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, Budapest, Hungary. Clinical Psychology Department, University Hospital of Bellvitge, Barcelona, Spain. Institute of Human Genetics, Heidelberg University, Heidelberg, Germany. Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany. Universitat Rovira i Virgili, Biochemistry and biotechnology Department, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental, Unitat de Nutrició Humana, Reus, Spain. Department of Medicine and Surgery, Kore University of Enna, Enna, Italy.

Abstract summary 

The co-occurrence of insulin resistance (IR)-related metabolic conditions with neuropsychiatric disorders is a complex 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|=0.21-1, p<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 and , 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 underscore the complex genetic landscape of IR-neuropsychiatric multimorbidity, advocating for an integrated disease model and offering novel insights for research and treatment strategies in this domain.

Authors & Co-authors:  Fanelli Franke Fabbri Werme Erdogan De Witte Poelmans Ruisch Reus van Gils Jansen Vos Alam Martinez Haavik Wimberley Dalsgaard Fóthi Barta Fernandez-Aranda Jimenez-Murcia Berkel Matura Salas-Salvadó Arenella Serretti Mota Bralten

Study Outcome 

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Statistics
Citations :  Agarwal S.M., Panda R., Costa-Dookhan K.A., MacKenzie N.E., Treen Q.C., Caravaggio F., Hashim E., Leung G., Kirpalani A., Matheson K., Chintoh A.F., Kramer C.K., Voineskos A.N., Graff-Guerrero A., Remington G.J., Hahn M.K., 2021. Metformin for early comorbid glucose dysregulation and schizophrenia spectrum disorders: a pilot double-blind randomized clinical trial. Transl Psychiatry 11, 219.
Authors :  28
Identifiers
Doi : 2024.03.07.24303921
SSN : 
Study Population
Male,Female
Mesh Terms
Other Terms
Genetic overlap;cardio-metabolic diseases;comorbidity;diabetes mellitus;functional annotations;local genetic correlation;metabolism;pleiotropy
Study Design
Study Approach
Quantitative
Country of Study
Publication Country
United States