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
Affiliations
Panayotis K. Thanos
Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Department of Pharmacology and Toxicology, Clinical Research Institute on Addictions, Jacobs School of Medicine and Biosciences, University at Buffalo, Buffalo, NY 14203, USA
Colin Hanna
Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Department of Pharmacology and Toxicology, Clinical Research Institute on Addictions, Jacobs School of Medicine and Biosciences, University at Buffalo, Buffalo, NY 14203, USA
Abrianna Mihalkovic
Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Department of Pharmacology and Toxicology, Clinical Research Institute on Addictions, Jacobs School of Medicine and Biosciences, University at Buffalo, Buffalo, NY 14203, USA
Aaron Hoffman
Department of Surgery, Methodist Hospital Medical Center, Dallas, TX 75208, USA
Alan Posner
Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA
John Butsch
Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA
Kenneth Blum
Division of Nutrigenomics, SpliceGen, Therapeutics, Inc., Austin, TX 78701, USA
Lesley Georger
Department of Natural Sciences and Mathematics, D’Youville University, Buffalo, NY 14201, USA
Lucy D. Mastrandrea
UBMD Pediatrics, JR Oishei Children’s Hospital, University at Buffalo, Buffalo, NY 14203, USA
Teresa Quattrin
UBMD Pediatrics, JR Oishei Children’s Hospital, University at Buffalo, Buffalo, NY 14203, USA
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).
