Biomedicines (Sep 2023)

Genetic Correlates as a Predictor of Bariatric Surgery Outcomes after 1 Year

  • Panayotis K. Thanos,
  • Colin Hanna,
  • Abrianna Mihalkovic,
  • Aaron Hoffman,
  • Alan Posner,
  • John Butsch,
  • Kenneth Blum,
  • Lesley Georger,
  • Lucy D. Mastrandrea,
  • Teresa Quattrin

DOI
https://doi.org/10.3390/biomedicines11102644
Journal volume & issue
Vol. 11, no. 10
p. 2644

Abstract

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This study analyzed genetic risk assessments in patients undergoing bariatric surgery to serve as a predictive factor for weight loss parameters 1 year after the operation. Thirty (30) patients were assessed for Genetic Addiction Risk Severity (GARS), which analyzes neurogenetic polymorphisms involved in addiction and reward deficiency. Genetic and psychosocial data collected before the operation were correlated with weight loss data, including changes in weight, body mass index (BMI), and percent of expected weight loss (%EWL). Results examined correlations between individual gene risk alleles, 1-year body weight data, and psychosocial trait scores. Spearman’s correlations revealed that the OPRM1 (rs1799971) gene polymorphism had significant negative correlation with 1-year weight (rs = −0.4477, p s = −0.4477, p DRD2 risk allele (rs1800497) was correlated negatively with BMI at 1 year (rs = −0.4927, p s = 0.4077, p s = 0.5521, p s = 0.4236, p s = 0.3971, p s = 0.3778, p s = −0.4320, p s = −0.4294, p DRD2 polymorphism. These results should translate clinically to improve positivity and attitude related to weight management by those individuals born with the risk alleles (rs1800497; rs1799971).

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