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. 2020 Apr;30(4):1482-1490.
doi: 10.1007/s11695-019-04320-6.

A Genetic Risk Score for the Estimation of Weight Loss After Bariatric Surgery

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A Genetic Risk Score for the Estimation of Weight Loss After Bariatric Surgery

E A Katsareli et al. Obes Surg. 2020 Apr.

Abstract

Background: Sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) are the most frequent bariatric surgery procedures worldwide. In this prospective study, we examined the association of a genetic risk score (GRS) with loss of excess weight after bariatric surgery.

Methods: A total of forty-seven morbidly obese Greek patients who underwent SG (81%) or RYGB were recruited, followed up for 2 years and genotyped. Weight loss after surgery was reported as the percentage of excess weight that was lost (%EWL) at 12 and 24 months after surgery. A GRS was constructed based on previously BMI- and WHR-related single nucleotide polymorphisms (SNPs) that were found significantly correlated with weight loss after bariatric surgery in our population. The level of post-surgery %EWL after 12 and 24 months was estimated through two multiple linear regression models that considered the effects of relevant genetic risk variants.

Results: The first proposed model suggested that the predictor variables of GRS, age, and BMI had a significant effect on %EWL12m. GRS was significantly associated with %EWL12m, indicating a 4.618% decrease of %EWL12m per score unit. The second model indicated a positive correlation between %EWL24m and %EWL12m, suggesting that while post-surgery weight loss increased during the first 12 months, an increase was expected in the next 12 months as well. GRS was also significantly associated with %EWL24m, indicating approximately 3% decrease of %EWL24m per score unit.

Conclusion: GRS can be used in the future together with other preoperative parameters in order to predict the outcome of bariatric surgery.

Keywords: %EWL; Genetic risk score; Multiple linear regression; One-way ANOVA; Roux-en Y gastric bypass; Sleeve gastrectomy.

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