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Grant: Project Grant

Centre for Addiction and Mental Health (Toronto)

$761,175.00

Determining genetic and non-genetic risk for schizophrenia in a high risk group

FY 2019-20

Summary
Schizophrenia is a serious and disabling illness that affects about 1 in 100 people. The cause is unknown for this brain disease that often affects youths, seemingly at random in a family. For babies born with a genetic deletion (missing piece of DNA) on one of the pair of chromosomes 22, the risk is very high: 1 in 4 will develop schizophrenia. By comparing people with the deletion who have and have not developed schizophrenia, we aim to identify additional genetic changes and non-genetic factors that will allow us to personalize risk estimates. Because the schizophrenia illness is the same, insights gained from studying this chromosome deletion can help us learn about schizophrenia more generally. An international collaboration has provided us with the opportunity to study the complete genetic codes of an unprecedented number of individuals with this high risk deletion. Our group has recently made this genetic information ready for analyzing the many types of DNA-level changes that could affect the risk of developing schizophrenia. We will obtain similar genetic data for 100 additional Canadians with this deletion where we know schizophrenia outcome. This will mean instead of just 435 people we will have 815 people with this deletion who also have outcome and detailed genetic information. For all 815, we will collect information on other possible risk factors for schizophrenia, such as premature birth. We will use this unique dataset to develop and test prediction algorithms for schizophrenia. Families, clinicians and researchers want to anticipate and ultimately prevent disabling outcomes like schizophrenia in at-risk individuals. Discovering the genetic and non-genetic factors that predict schizophrenia in people from a high risk group could help us predict risk for schizophrenia in the general population. This could help us intervene early to prevent major disabilities.
Program
Project Grant
Location
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
409453
Name
Bassett Anne S
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Behavioural Sciences - B: Clinical Behavioural Sciences
Projecttitle
Determining genetic and non-genetic risk for schizophrenia in a high risk group
Programtype2
Operating Grants
Orgnameinp2
Centre for Addiction and Mental Health (Toronto)
Cihramount2
$761,175
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
22q11.2 Deletion Syndrome; Bioinformatics; Copy Number Variation; Genetics; Genomic; Microdeletion; Pathogenic Variants; Penetrance; Variable Expression; Whole Genome Sequencing
Abstract
Schizophrenia is a serious and disabling illness that affects about 1 in 100 people. The cause is unknown for this brain disease that often affects youths, seemingly at random in a family. For babies born with a genetic deletion (missing piece of DNA) on one of the pair of chromosomes 22, the risk is very high: 1 in 4 will develop schizophrenia. By comparing people with the deletion who have and have not developed schizophrenia, we aim to identify additional genetic changes and non-genetic factors that will allow us to personalize risk estimates. Because the schizophrenia illness is the same, insights gained from studying this chromosome deletion can help us learn about schizophrenia more generally. An international collaboration has provided us with the opportunity to study the complete genetic codes of an unprecedented number of individuals with this high risk deletion. Our group has recently made this genetic information ready for analyzing the many types of DNA-level changes that could affect the risk of developing schizophrenia. We will obtain similar genetic data for 100 additional Canadians with this deletion where we know schizophrenia outcome. This will mean instead of just 435 people we will have 815 people with this deletion who also have outcome and detailed genetic information. For all 815, we will collect information on other possible risk factors for schizophrenia, such as premature birth. We will use this unique dataset to develop and test prediction algorithms for schizophrenia. Families, clinicians and researchers want to anticipate and ultimately prevent disabling outcomes like schizophrenia in at-risk individuals. Discovering the genetic and non-genetic factors that predict schizophrenia in people from a high risk group could help us predict risk for schizophrenia in the general population. This could help us intervene early to prevent major disabilities.
Competitiondate
201909
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Bassett, Anne S
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $761,175~ $0~
Centre for Addiction and Mental Health (Toronto) - $7… | Canada Spends