Genes To Mental Health (G2MH): A Framework to Map the Combined Effects of Rare and Common Variants on Dimensions of Cognition and Psychopathology

Rare genomic disorders (RGDs) confer elevated risk for neurodevelopmental psychiatric disorders. In this era of intense genomics discoveries, the landscape of RGDs is rapidly evolving. However, there has not been comparable progress to date in scalable, harmonized phenotyping methods. As a result, b...

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Published inThe American journal of psychiatry Vol. 179; no. 3; pp. 189 - 203
Main Authors Jacquemont, Sébastien, Huguet, Guillaume, Klein, Marieke, Chawner, Samuel J.R.A, Donald, Kirsten A, van den Bree, Marianne B.M, Sebat, Jonathan, Ledbetter, David H, Constantino, John N, Earl, Rachel K, McDonald-McGinn, Donna M, van Amelsvoort, Therese, Swillen, Ann, O’Donnell-Luria, Anne H, Glahn, David C, Almasy, Laura, Eichler, Evan E, Scherer, Stephen W, Robinson, Elise, Bassett, Anne S, Martin, Christa Lese, Finucane, Brenda, Vorstman, Jacob A.S, Bearden, Carrie E, Gur, Raquel E
Format Journal Article
LanguageEnglish
Published United States American Psychiatric Association 01.03.2022
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Abstract Rare genomic disorders (RGDs) confer elevated risk for neurodevelopmental psychiatric disorders. In this era of intense genomics discoveries, the landscape of RGDs is rapidly evolving. However, there has not been comparable progress to date in scalable, harmonized phenotyping methods. As a result, beyond associations with categorical diagnoses, the effects on dimensional traits remain unclear for many RGDs. The nature and specificity of RGD effects on cognitive and behavioral traits is an area of intense investigation: RGDs are frequently associated with more than one psychiatric condition, and those studied to date affect, to varying degrees, a broad range of developmental and cognitive functions. Although many RGDs have large effects, phenotypic expression is typically influenced by additional genomic and environmental factors. There is emerging evidence that using polygenic risk scores in individuals with RGDs offers opportunities to refine prediction, thus allowing for the identification of those at greatest risk of psychiatric illness. However, translation into the clinic is hindered by roadblocks, which include limited genetic testing in clinical psychiatry, and the lack of guidelines for following individuals with RGDs, who are at high risk of developing psychiatric symptoms. The Genes to Mental Health Network (G2MH) is a newly funded National Institute of Mental Health initiative that will collect, share, and analyze large-scale data sets combining genomics and dimensional measures of psychopathology spanning diverse populations and geography. The authors present here the most recent understanding of the effects of RGDs on dimensional behavioral traits and risk for psychiatric conditions and discuss strategies that will be pursued within the G2MH network, as well as how expected results can be translated into clinical practice to improve patient outcomes.
AbstractList Rare genomic disorders (RGDs) confer elevated risk for neurodevelopmental psychiatric disorders. In this era of intense genomics discoveries, the landscape of RGDs is rapidly evolving. However, there has not been comparable progress to date in scalable, harmonized phenotyping methods. As a result, beyond associations with categorical diagnoses, the effects on dimensional traits remain unclear for many RGDs. The nature and specificity of RGD effects on cognitive and behavioral traits is an area of intense investigation: RGDs are frequently associated with more than one psychiatric condition, and those studied to date affect, to varying degrees, a broad range of developmental and cognitive functions. Although many RGDs have large effects, phenotypic expression is typically influenced by additional genomic and environmental factors. There is emerging evidence that using polygenic risk scores in individuals with RGDs offers opportunities to refine prediction, thus allowing for the identification of those at greatest risk of psychiatric illness. However, translation into the clinic is hindered by roadblocks, which include limited genetic testing in clinical psychiatry, and the lack of guidelines for following individuals with RGDs, who are at high risk of developing psychiatric symptoms. The Genes to Mental Health Network (G2MH) is a newly funded National Institute of Mental Health initiative that will collect, share, and analyze large-scale data sets combining genomics and dimensional measures of psychopathology spanning diverse populations and geography. The authors present here the most recent understanding of the effects of RGDs on dimensional behavioral traits and risk for psychiatric conditions and discuss strategies that will be pursued within the G2MH network, as well as how expected results can be translated into clinical practice to improve patient outcomes.
Rare genomic disorders (RGDs) confer elevated risk for neurodevelopmental psychiatric disorders (NPDs). In this era of intense genomics discoveries, the landscape of RGDs is rapidly evolving. However, there has not been comparable progress to date in scalable, harmonized phenotyping methods. As a result, beyond associations with categorical diagnoses, the effects on dimensional traits remain unclear for many RGDs. The nature and specificity of RGD effects on cognitive and behavioral traits is an area of intense investigation: RGDs are frequently associated with more than one psychiatric condition and those studied to date affect, to varying degrees, a broad range of developmental and cognitive functions. Although many RGDs have large effects, phenotypic expression is typically influenced by additional genomic and environmental factors . There is emerging evidence that using polygenic risk scores in individuals with RGDs offers opportunities to refine prediction , thus allowing for the identification of those at greatest risk of psychiatric illness. However, translation into the clinic is hindered by roadblocks, which include limited genetic testing in clinical psychiatry, and the lack of guidelines for following individuals with RGDs, who are at high risk of developing psychiatric symptoms. The Genes 2 Mental Health Network (G2MH) is a newly funded NIMH initiative that will collect, share and analyze large scale datasets combining genomics and dimensional measures of psychopathology spanning diverse populations and geography. We present here the most recent understanding of the effects of RGDs on dimensional behavioral traits and risk for psychiatric conditions. We discuss strategies that will be pursued within the G2MH network, and how expected results can be translated into clinical practice to improve patient outcomes. Genomic methods are widely used in psychiatric research and are recommended in clinical practice to identify rare genomic variants in patients with neurodevelopmental disorders. However, we still know very little about these variants. The mission of G2MH is to collect and harmonize clinical and genomic data on large groups of individuals who carry such rare variants to understand how they affect cognition and behavior and increase the risk for psychiatric conditions.
Author Donald, Kirsten A
Finucane, Brenda
Sebat, Jonathan
Constantino, John N
Gur, Raquel E
Robinson, Elise
Bearden, Carrie E
Swillen, Ann
Earl, Rachel K
Glahn, David C
Jacquemont, Sébastien
Bassett, Anne S
Eichler, Evan E
Scherer, Stephen W
O’Donnell-Luria, Anne H
Huguet, Guillaume
Martin, Christa Lese
Vorstman, Jacob A.S
Ledbetter, David H
Klein, Marieke
van Amelsvoort, Therese
van den Bree, Marianne B.M
Almasy, Laura
McDonald-McGinn, Donna M
Chawner, Samuel J.R.A
AuthorAffiliation Department of Pediatrics, University of Montreal, Montreal (Jacquemont, Huguet); Sainte Justine Hospital Research Center, Montreal (Jacquemont, Huguet); Department of Psychiatry, University of California San Diego, La Jolla (Klein, Sebat); Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom (Chawner, van den Bree); Department of Pediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa (Donald); Neuroscience Institute, University of Cape Town, Cape Town, South Africa (Donald); Autism and Developmental Medicine Institute, Geisinger, Danville, Pa. (Ledbetter, Martin, Finucane); Department of Psychiatry, Washington University School of Medicine, St. Louis (Constantino); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Earl); Division of Human Genetics, 22q and Y
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/35236119$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright Copyright © 2022 by the American Psychiatric Association 2022
Copyright American Psychiatric Association Mar 2022
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CorporateAuthor and the Genes to Mental Health Network
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Keywords Intellectual Disabilities
Diagnosis and Classification
Autism Spectrum Disorder
Genetics/Genomics
Neurodevelopmental Disorders
Schizophrenia Spectrum and Other Psychotic Disorders
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Snippet Rare genomic disorders (RGDs) confer elevated risk for neurodevelopmental psychiatric disorders. In this era of intense genomics discoveries, the landscape of...
Rare genomic disorders (RGDs) confer elevated risk for neurodevelopmental psychiatric disorders (NPDs). In this era of intense genomics discoveries, the...
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StartPage 189
SubjectTerms Cognition
Cognitive ability
Genomics
Genotype & phenotype
Humans
Mental disorders
Mental Disorders - diagnosis
Mental Disorders - genetics
Mental Health
Psychiatry
Psychopathology
Title Genes To Mental Health (G2MH): A Framework to Map the Combined Effects of Rare and Common Variants on Dimensions of Cognition and Psychopathology
URI http://dx.doi.org/10.1176/appi.ajp.2021.21040432
https://www.ncbi.nlm.nih.gov/pubmed/35236119
https://www.proquest.com/docview/2646977415/abstract/
https://pubmed.ncbi.nlm.nih.gov/PMC9345000
Volume 179
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