Genome-wide Association of Single-Nucleotide Polymorphisms With Weight Loss Outcomes After Roux-en-Y Gastric Bypass Surgery

• Published in: The journal of clinical endocrinology and metabolism Vol. 98; no. 6; pp. E1131 - E1136
• Main Authors: Rinella, Erica S, Still, Christopher, Shao, Yongzhao, Wood, G. Craig, Chu, Xin, Salerno, Brenda, Gerhard, Glenn S, Ostrer, Harry
• Format: Journal Article
• Language: English
• Published: United States Endocrine Society 01.06.2013; Copyright by The Endocrine Society
• Series: Brief Report
• Subjects: Body Mass Index; Female; Gastric Bypass; Genome-Wide Association Study; Humans; JCEM Online: Advances in Genetics; Polymorphism, Single Nucleotide; Weight Loss
• ISSN: 0021-972X; 1945-7197
• DOI: 10.1210/jc.2012-3421

Context: Roux-en-Y gastric bypass (RYGB) is among the most effective treatments for extreme obesity and obesity-related complications. However, despite its potential efficacy, many patients do not achieve and/or maintain sufficient weight loss. Objective: Our objective was to identify genetic factors underlying the variability in weight loss outcomes after RYGB surgery. Design: We conducted a genome-wide association study using a 2-stage phenotypic extreme study design. Setting: Patients were recruited from a comprehensive weight loss program at an integrated health system. Patients: Eighty-six obese (body mass index >35 kg/m2) patients who had the least percent excess body weight loss (%EBWL) and 89 patients who had the most %EBWL at 2 years after surgery were genotyped using Affymetrix version 6.0 single-nucleotide polymorphism (SNP) arrays. A second group from the same cohort consisting of 164 patients in the lower quartile of %EBWL and 169 from the upper quartile were selected for evaluation of candidate regions using custom SNP arrays. Intervention: We performed RYGB surgery. Main Outcome Measures: We assessed %EBWL at 2 years after RYGB and SNPs. Results: We identified 111 SNPs in the first-stage analysis whose frequencies were significantly different between 2 phenotypic extremes of weight loss (allelic χ2 test P < .0001). Linear regression of %EBWL at 2 years after surgery revealed 17 SNPs that approach P < .05 in the validation stage and cluster in or near several genes with potential biological relevance including PKHD1, HTR1A, NMBR, and IGF1R. Conclusions: This is the first genome-wide association study of weight loss response to RYGB. Variation in weight loss outcomes after RYGB may be influenced by several common genetic variants.