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Grant: Project Grant

McGill University

$596,700.00

Development and performance of a model combining a polygenic risk score and biopsychosocial measures to predict the transition of acute to chronic low back pain

FY 2022-23

Summary
Almost everyone will have an episode of acute low back pain (LBP) in their lifetime. Unfortunately, at least a quarter of them will experience symptoms consistent with chronic LBP, one of the main causes of life lived with disability. The ability to identify individuals who are at greater risk of chronic LBP might help us pinpoint the causes of chronicity and develop strategies to prevent it. Despite previous attempts to identify these individuals based on measures such as age, sex, mood, and social support network, we remain unable to do so with acceptable confidence. Because we know that LBP has an important genetic influence, in this study we will use the largest study currently available in the world that includes both LBP and genetic data (the United Kingdom Biobank) to estimate how the collection of a person's genetic variants affect their risk of having chronic LBP. To make sure these genetic variants are important, we will confirm our findings in a large independent Canadian study that also includes both LBP and genetic data (the Canadian Longitudinal Study on Aging). Previous studies done on other diseases also influenced by genetics - such as cardiovascular dis-eases, diabetes, and different types of cancer - taught us that using genetic variants to predict a health out-come is particularly useful when combining other measures. Thus, we will combine information provided by the genetic variants with age, sex, mood, and social support network and other measures that are being col-lected as part of the Quebec Back Pain Study (QBPS) - an ongoing effort launched and maintained by our team - to predict the transition to chronic LBP. As result of this study, we expect to enable the identification of individuals with acute LBP at greater risk of chronic LBP and in turn, to start to develop strategies to avoid it.
Program
Project Grant
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
478821
Name
Beraldo Meloto Carolina
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Musculoskeletal Health and Arthritis
Theme2
Clinical
Prcname2
Clinical Investigation - B 2
Projecttitle
Development and performance of a model combining a polygenic risk score and biopsychosocial measures to predict the transition of acute to chronic low back pain
Programtype2
Operating Grants
Orgnameinp2
McGill University
Cihramount2
$596,700
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Acute-To-Chronic Transition; Biopsychosocial Factors; Genetic Variants; Large Scale Cohorts; Low Back Pain; Polygenic Risk Score
Abstract
Almost everyone will have an episode of acute low back pain (LBP) in their lifetime. Unfortunately, at least a quarter of them will experience symptoms consistent with chronic LBP, one of the main causes of life lived with disability. The ability to identify individuals who are at greater risk of chronic LBP might help us pinpoint the causes of chronicity and develop strategies to prevent it. Despite previous attempts to identify these individuals based on measures such as age, sex, mood, and social support network, we remain unable to do so with acceptable confidence. Because we know that LBP has an important genetic influence, in this study we will use the largest study currently available in the world that includes both LBP and genetic data (the United Kingdom Biobank) to estimate how the collection of a person's genetic variants affect their risk of having chronic LBP. To make sure these genetic variants are important, we will confirm our findings in a large independent Canadian study that also includes both LBP and genetic data (the Canadian Longitudinal Study on Aging). Previous studies done on other diseases also influenced by genetics - such as cardiovascular dis-eases, diabetes, and different types of cancer - taught us that using genetic variants to predict a health out-come is particularly useful when combining other measures. Thus, we will combine information provided by the genetic variants with age, sex, mood, and social support network and other measures that are being col-lected as part of the Quebec Back Pain Study (QBPS) - an ongoing effort launched and maintained by our team - to predict the transition to chronic LBP. As result of this study, we expect to enable the identification of individuals with acute LBP at greater risk of chronic LBP and in turn, to start to develop strategies to avoid it.
Competitiondate
202303
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Beraldo Meloto, Carolina; Grant, Audrey V
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $596,700~ $0~