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Grant: Catalyst Grant: Analysis of CLSA Data - IA Early Career Researchers

Montreal Heart Institute

$70,000.00

Interactive visualization of genetic variant-trait associations in the CLSA dataset

EF 2023-24

Résumé
The CLSA study collected data on thousands of traits and hundreds of millions of genetic variants in almost thirty thousand Canadians. Manually sifting through all the resulting gene- disease association results, trait by trait and variant by variant, is neither an efficient nor comprehensive way to foster discoveries. Efficiently translating such massive amounts of results into new understandings of health and disease for Canadians requires making the association results from large-scale genetic studies accessible to researchers in an intuitive and easy-to-use manner. In this project, we will build an instance of PheWeb - our web-based interactive tool for visualizing and browsing through hundreds or thousands of genetic association results efficiently and intuitively - to make all CLSA association results available to researchers at their fingertips, which will facilitate data sharing and collaboration.
Programme
Catalyst Grant: Analysis of CLSA Data - IA Early Career Researchers
Emplacement
Quebec, Canada
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
499202
Name
Gagliano Taliun Sarah A
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Catalyst Grant: Analysis of CLSA Data
Projecttitle
Interactive visualization of genetic variant-trait associations in the CLSA dataset
Programtype2
Operating Grants
Orgnameinp2
Montreal Heart Institute
Cihramount2
$70,000
Cihrequipment2
$0
Programname2
Catalyst Grant: Analysis of CLSA Data - IA Early Career Researchers
Keyworddelim
Genome-Wide Association; Phenome-Wide Association; Traits Of Aging
Abstract
The CLSA study collected data on thousands of traits and hundreds of millions of genetic variants in almost thirty thousand Canadians. Manually sifting through all the resulting gene- disease association results, trait by trait and variant by variant, is neither an efficient nor comprehensive way to foster discoveries. Efficiently translating such massive amounts of results into new understandings of health and disease for Canadians requires making the association results from large-scale genetic studies accessible to researchers in an intuitive and easy-to-use manner. In this project, we will build an instance of PheWeb - our web-based interactive tool for visualizing and browsing through hundreds or thousands of genetic association results efficiently and intuitively - to make all CLSA association results available to researchers at their fingertips, which will facilitate data sharing and collaboration.
Competitiondate
202310
Approvedterm2
1 yr 0 mth
Pinamesdelim
Gagliano Taliun, Sarah A; Taliun, Daniel
Approvedterm
1 an 0 mois
Cihrcontribution2
IA~ $70,000~ $0~