Journal
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
Volume 98, Issue 6, Pages E1131-E1136Publisher
OXFORD UNIV PRESS INC
DOI: 10.1210/jc.2012-3421
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Funding
- New York University Langone Medical Center (NYULMC)-Geisinger Seed Grant
- Geisinger Clinic
- Weis Center for Research
- Geisinger Obesity Research Institute
- NYULMC
- National Institutes of Health [DK072488, DK088231]
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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/m(2)) 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 Affy metrix 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 chi(2) 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.
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