Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783414998855319552 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6491717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT haridassshantalaa abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT mccrackenkathryn abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT pokhvisnevairina abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT chenlawrencem abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT gargelika abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT nguyenthaott abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT wangzihan abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT barthbarbara abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT yaqubimoein abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT mcewenlisam abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT macisaacjuliel abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT dioriojosie abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT kobormichaels abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT odonnellkieranj abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT meaneymichaelj abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT silveirapatriciap abiologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT haridassshantalaa biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT mccrackenkathryn biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT pokhvisnevairina biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT chenlawrencem biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT gargelika biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT nguyenthaott biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT wangzihan biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT barthbarbara biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT yaqubimoein biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT mcewenlisam biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT macisaacjuliel biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT dioriojosie biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT kobormichaels biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT odonnellkieranj biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT meaneymichaelj biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions AT silveirapatriciap biologicallyinformedpolygenicscoreidentifiesendophenotypesandclinicalconditionsassociatedwiththeinsulinreceptorfunctiononspecificbrainregions |