Genome-wide association of single-nucleotide polymorphisms with weight loss outcomes after Roux-en-Y gastric bypass surgery

Erica S. Rinella, Christopher Still, Yongzhao Shao, G. Craig Wood, Xin Chu, Brenda Salerno, Glenn S. Gerhard, Harry Ostrer

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)E1131-E1136
JournalJournal of Clinical Endocrinology and Metabolism
Issue number6
StatePublished - Jun 2013

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Endocrinology
  • Clinical Biochemistry
  • Biochemistry, medical


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