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Polygenic risk score for predicting weight loss after bariatric surgery

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bul.description.provenanceelcou28 spbarfr
bul.rights.dateAccepPubl2018-09-06fr
bul.rights.periodeEmbargoforeverfr
bul.rights.raisonEmbargoInfiniPour que le document soit diffusé en libre accès, en accord avec le délai prescrit par l’éditeur de JCI Insight, il faudrait déposer la version acceptée pour publication, incluant toutes les modifications demandées, mais sans la mise en page de la revue. Seulement les articles publiés après le 20 août 2020 peuvent être déposé en VoR sans permission (selon les informations de cet éditeur). Pour ce faire, effectuez une demande de modification à l’aide de la liste des dépôts diffusés à partir du tableau de suivi.fr
bul.rights.typeDatedatePublicationfr
dc.contributor.authorGuénard, Frédéric
dc.contributor.authorToro Martin, Juan de
dc.contributor.authorPérusse, Louis
dc.contributor.authorMarceau, Simon
dc.contributor.authorVohl, Marie-Claude
dc.contributor.authorTchernof, André
dc.date.accessioned2021-07-13T02:31:48Z
dc.date.available9999-12-31
dc.date.issued2018-09-06
dc.description.abstractBACKGROUND. The extent of weight loss among patients undergoing bariatric surgery is highly variable. Herein, we tested the contribution of genetic background to such interindividual variability after biliopancreatic diversion with duodenal switch. METHODS. Percentage of excess body weight loss (%EBWL) was monitored in 865 patients over a period of 48 months after bariatric surgery, and 2 polygenic risk scores were constructed with 186 and 11 (PRS₁₈₆ and PRS₁₁) single nucleotide polymorphisms previously associated with BMI. RESULTS. The accuracy of the %EBWL logistic prediction model — including initial BMI, age, sex, and surgery modality, and assessed as the area under the receiver operating characteristics (ROC) curve adjusted for optimism ((AUCadj= 0.867) — significantly increased after the inclusion of PRS186 (ΔAUCadj = 0.021; 95% CI of the difference (95% CIdiff) = 0.0046–0.038) but not PRS11 (ΔAUCadj= 0.008; 95% CIdiff= –0.003–0.019). The overall fit of the longitudinal linear mixed model for %EBWL showed a significant increase after addition of PRS₁₈₆ (–2 log-likelihood = 12.3; P = 0.002) and PRS11 (–2 log-likelihood = 9.9; P = 0.007). A significant interaction with postsurgery time was found for PRS₁₈₆ (β = –0.003; P = 0.008) and PRS₁₁ (β = –0.008; P = 0.03). The inclusion of PRS₁₈₆ and PRS₁₁ into the model improved the cost-effectiveness of bariatric surgery by reducing the percentage of false negatives from 20.4% to 10.9% and 10.2%, respectively. CONCLUSION. These results revealed that genetic background has a significant impact on weight loss after biliopancreatic diversion with duodenal switch. Likewise, the improvement in weight loss prediction after addition of polygenic risk scores is cost-effective, suggesting that genetic testing could potentially be used in the presurgical assessment of patients with severe obesity.fr
dc.identifier.doi10.1172/jci.insight.122011fr
dc.identifier.issn2379-3708fr
dc.identifier.pubmed30185664fr
dc.identifier.urihttp://hdl.handle.net/20.500.11794/69605
dc.languageengfr
dc.publisherAmerican Society for Clinical Investigationfr
dc.rightshttp://purl.org/coar/access_right/c_16ec
dc.subject.rvmObésité -- Chirurgiefr
dc.subject.rvmPerte de poidsfr
dc.subject.rvmDérivation bilio-pancréatiquefr
dc.subject.rvmVariabilité génétiquefr
dc.titlePolygenic risk score for predicting weight loss after bariatric surgeryfr
dc.typearticle de recherche
dc.type.legacyCOAR1_1::Texte::Périodique::Revue::Contribution à un journal::Article::Article de recherchefr
dcterms.bibliographicCitationJCI Insight, Vol. 3 (17), 1-12 (2018)fr
dspace.accessstatus.time2023-03-28 18:01:26
dspace.entity.typePublication
relation.isAuthorOfPublication118048f6-7f60-4c91-afff-eb6cf5e11ca4
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relation.isAuthorOfPublication.latestForDiscovery118048f6-7f60-4c91-afff-eb6cf5e11ca4
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rioxxterms.projectG-17-0016627; no. 950-231-580fr
rioxxterms.project.funder-nameHeart and Stroke Foundation of Canadafr
rioxxterms.project.funder-nameCanada Research Chair in Genomics Applied to Nutrition and Metabolic Healthfr
rioxxterms.versionVoRfr
rioxxterms.version-of-recordhttps://doi.org/10.1172/jci.insight.122011fr
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