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Grant: Project Grant

Université Laval

$459,000.00

Predicting weight loss and metabolic improvements after bariatric surgery through a novel genetic and epigenetic score.

EF 2019-20

Résumé
Obesity is associated with an increased risk of cardiovascular disease (CVD) and type 2 diabetes. However, the obesity trait is highly variable from one individual to another. Genetics and epigenetic factors may contribute to this inter-individual variability. In the past decades, several international research efforts we were part of have taken on the challenge of decoding the genome and epigenome sequences associated with obesity and its related metabolic complications. However, most of these diseases are influenced by several genes each having only a small effect on its own. Polygenic approaches dealing with mass genetic and epigenetic data access more of the variance of these traits and can better predict individual risks of obesity and its metabolic complications, and more importantly treatment success. Weight loss and metabolic improvements after an anti-obesity surgery are highly variable and remain a poorly studied phenomenon. Time and efforts must be devoted to the identification of determinants of this large inter-individual variability in order to direct the patient to the treatment option with the greatest chance of success. We then propose to find a genetic/epigenetic set of determinants of body weight loss and metabolic recovery after bariatric surgery that may be used to develop applications to target the best surgical options for a patient. The specific aims are: Specific Aim 1: To derive a polygenic risk score (PRS) associated to the progression of weight loss and metabolic outcomes after a bariatric surgery. Specific Aim 2: To assess the potential of a blood DNA methylation risk score (MRS) to predict body weight loss and metabolic improvements after a bariatric surgery. Specific Aim 3: To test whether a combination of genetic and epigenetic determinants can better predict post-bariatric surgery outcomes than either a PRS or a MRS individually. These high-potential, new research avenues merit further investigation.
Programme
Project Grant
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
409268
Name
Vohl Marie-Claude
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Nutrition, Metabolism and Diabetes
Theme2
Biomedical
Prcname2
Clinical Investigation - C: Digestive, Endocrine and Excretory Systems
Projecttitle
Predicting weight loss and metabolic improvements after bariatric surgery through a novel genetic and epigenetic score.
Programtype2
Operating Grants
Orgnameinp2
Université Laval
Cihramount2
$459,000
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Bariatric Surgery; Epigenetics; Genetics; Obesity; Precision Medicine; Weight Loss
Abstract
Obesity is associated with an increased risk of cardiovascular disease (CVD) and type 2 diabetes. However, the obesity trait is highly variable from one individual to another. Genetics and epigenetic factors may contribute to this inter-individual variability. In the past decades, several international research efforts we were part of have taken on the challenge of decoding the genome and epigenome sequences associated with obesity and its related metabolic complications. However, most of these diseases are influenced by several genes each having only a small effect on its own. Polygenic approaches dealing with mass genetic and epigenetic data access more of the variance of these traits and can better predict individual risks of obesity and its metabolic complications, and more importantly treatment success. Weight loss and metabolic improvements after an anti-obesity surgery are highly variable and remain a poorly studied phenomenon. Time and efforts must be devoted to the identification of determinants of this large inter-individual variability in order to direct the patient to the treatment option with the greatest chance of success. We then propose to find a genetic/epigenetic set of determinants of body weight loss and metabolic recovery after bariatric surgery that may be used to develop applications to target the best surgical options for a patient. The specific aims are: Specific Aim 1: To derive a polygenic risk score (PRS) associated to the progression of weight loss and metabolic outcomes after a bariatric surgery. Specific Aim 2: To assess the potential of a blood DNA methylation risk score (MRS) to predict body weight loss and metabolic improvements after a bariatric surgery. Specific Aim 3: To test whether a combination of genetic and epigenetic determinants can better predict post-bariatric surgery outcomes than either a PRS or a MRS individually. These high-potential, new research avenues merit further investigation.
Competitiondate
201909
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Vohl, Marie-Claude
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $459,000~ $0~