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A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions

BACKGROUND: Activation of brain insulin receptors modulates reward sensitivity, inhibitory control and memory. Variations in the functioning of this mechanism likely associate with individual differences in the risk for related mental disorders (attention deficit hyperactivity disorder or ADHD, addi...

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Autores principales: Hari Dass, Shantala A., McCracken, Kathryn, Pokhvisneva, Irina, Chen, Lawrence M., Garg, Elika, Nguyen, Thao T.T., Wang, Zihan, Barth, Barbara, Yaqubi, Moein, McEwen, Lisa M., MacIsaac, Julie L., Diorio, Josie, Kobor, Michael S., O'Donnell, Kieran J., Meaney, Michael J., Silveira, Patricia P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491717/
https://www.ncbi.nlm.nih.gov/pubmed/30922963
http://dx.doi.org/10.1016/j.ebiom.2019.03.051
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author Hari Dass, Shantala A.
McCracken, Kathryn
Pokhvisneva, Irina
Chen, Lawrence M.
Garg, Elika
Nguyen, Thao T.T.
Wang, Zihan
Barth, Barbara
Yaqubi, Moein
McEwen, Lisa M.
MacIsaac, Julie L.
Diorio, Josie
Kobor, Michael S.
O'Donnell, Kieran J.
Meaney, Michael J.
Silveira, Patricia P.
author_facet Hari Dass, Shantala A.
McCracken, Kathryn
Pokhvisneva, Irina
Chen, Lawrence M.
Garg, Elika
Nguyen, Thao T.T.
Wang, Zihan
Barth, Barbara
Yaqubi, Moein
McEwen, Lisa M.
MacIsaac, Julie L.
Diorio, Josie
Kobor, Michael S.
O'Donnell, Kieran J.
Meaney, Michael J.
Silveira, Patricia P.
author_sort Hari Dass, Shantala A.
collection PubMed
description BACKGROUND: Activation of brain insulin receptors modulates reward sensitivity, inhibitory control and memory. Variations in the functioning of this mechanism likely associate with individual differences in the risk for related mental disorders (attention deficit hyperactivity disorder or ADHD, addiction, dementia), in agreement with the high co-morbidity between insulin resistance and psychopathology. These neurobiological mechanisms can be explored using genetic studies. We propose a novel, biologically informed genetic score reflecting the mesocorticolimbic and hippocampal insulin receptor-related gene networks, and investigate if it predicts endophenotypes (impulsivity, cognitive ability) in community samples of children, and psychopathology (addiction, dementia) in adults. METHODS: Lists of genes co-expressed with the insulin receptor in the mesocorticolimbic system or hippocampus were created. SNPs from these genes (post-clumping) were compiled in a polygenic score using the association betas described in a conventional GWAS (ADHD in the mesocorticolimbic score and Alzheimer in the hippocampal score). Across multiple samples (n = 4502), the biologically informed, mesocorticolimbic or hippocampal specific insulin receptor polygenic scores were calculated, and their ability to predict impulsivity, risk for addiction, cognitive performance and presence of Alzheimer's disease was investigated. FINDINGS: The biologically-informed ePRS-IR score showed better prediction of child impulsivity and cognitive performance, as well as risk for addiction and Alzheimer's disease in comparison to conventional polygenic scores for ADHD, addiction and dementia. INTERPRETATION: This novel, biologically-informed approach enables the use of genomic datasets to probe relevant biological processes involved in neural function and disorders. FUND: Toxic Stress Research network of the JPB Foundation, Jacobs Foundation (Switzerland), Sackler Foundation.
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spelling pubmed-64917172019-05-06 A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions Hari Dass, Shantala A. McCracken, Kathryn Pokhvisneva, Irina Chen, Lawrence M. Garg, Elika Nguyen, Thao T.T. Wang, Zihan Barth, Barbara Yaqubi, Moein McEwen, Lisa M. MacIsaac, Julie L. Diorio, Josie Kobor, Michael S. O'Donnell, Kieran J. Meaney, Michael J. Silveira, Patricia P. EBioMedicine Research paper BACKGROUND: Activation of brain insulin receptors modulates reward sensitivity, inhibitory control and memory. Variations in the functioning of this mechanism likely associate with individual differences in the risk for related mental disorders (attention deficit hyperactivity disorder or ADHD, addiction, dementia), in agreement with the high co-morbidity between insulin resistance and psychopathology. These neurobiological mechanisms can be explored using genetic studies. We propose a novel, biologically informed genetic score reflecting the mesocorticolimbic and hippocampal insulin receptor-related gene networks, and investigate if it predicts endophenotypes (impulsivity, cognitive ability) in community samples of children, and psychopathology (addiction, dementia) in adults. METHODS: Lists of genes co-expressed with the insulin receptor in the mesocorticolimbic system or hippocampus were created. SNPs from these genes (post-clumping) were compiled in a polygenic score using the association betas described in a conventional GWAS (ADHD in the mesocorticolimbic score and Alzheimer in the hippocampal score). Across multiple samples (n = 4502), the biologically informed, mesocorticolimbic or hippocampal specific insulin receptor polygenic scores were calculated, and their ability to predict impulsivity, risk for addiction, cognitive performance and presence of Alzheimer's disease was investigated. FINDINGS: The biologically-informed ePRS-IR score showed better prediction of child impulsivity and cognitive performance, as well as risk for addiction and Alzheimer's disease in comparison to conventional polygenic scores for ADHD, addiction and dementia. INTERPRETATION: This novel, biologically-informed approach enables the use of genomic datasets to probe relevant biological processes involved in neural function and disorders. FUND: Toxic Stress Research network of the JPB Foundation, Jacobs Foundation (Switzerland), Sackler Foundation. Elsevier 2019-03-26 /pmc/articles/PMC6491717/ /pubmed/30922963 http://dx.doi.org/10.1016/j.ebiom.2019.03.051 Text en © 2019 The Authors. Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Hari Dass, Shantala A.
McCracken, Kathryn
Pokhvisneva, Irina
Chen, Lawrence M.
Garg, Elika
Nguyen, Thao T.T.
Wang, Zihan
Barth, Barbara
Yaqubi, Moein
McEwen, Lisa M.
MacIsaac, Julie L.
Diorio, Josie
Kobor, Michael S.
O'Donnell, Kieran J.
Meaney, Michael J.
Silveira, Patricia P.
A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions
title A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions
title_full A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions
title_fullStr A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions
title_full_unstemmed A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions
title_short A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions
title_sort biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491717/
https://www.ncbi.nlm.nih.gov/pubmed/30922963
http://dx.doi.org/10.1016/j.ebiom.2019.03.051
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