Heritability of the weight loss response to gastric bypass surgery

IJ Hatoum, DM Greenawalt, C Cotsapas… - The Journal of …, 2011 - academic.oup.com
IJ Hatoum, DM Greenawalt, C Cotsapas, ML Reitman, MJ Daly, LM Kaplan
The Journal of Clinical Endocrinology & Metabolism, 2011academic.oup.com
Abstract Context: The use of Roux-en-Y gastric bypass (RYGB) surgery to treat severe
obesity has grown dramatically. RYGB is highly effective, but the response in individual
patients varies widely, and clinical predictors have been able to explain only a fraction of this
variation. Objective: Our objective was to determine whether there is a significant genetic
contribution to weight loss after RYGB. Methods: We genotyped 848 patients undergoing
RYGB. Using identity-by-descent methods, we identified 13 pairs of first-degree relatives …
Context
The use of Roux-en-Y gastric bypass (RYGB) surgery to treat severe obesity has grown dramatically. RYGB is highly effective, but the response in individual patients varies widely, and clinical predictors have been able to explain only a fraction of this variation.
Objective
Our objective was to determine whether there is a significant genetic contribution to weight loss after RYGB.
Methods
We genotyped 848 patients undergoing RYGB. Using identity-by-descent methods, we identified 13 pairs of first-degree relatives. We identified an additional 10 pairs of individuals who were living together but are not genetically related and randomly paired the remaining 794 individuals. We then compared weight loss within and across pairs.
Results
First-degree relative pairs had a similar response to surgery, with a 9% mean difference in excess weight loss between members of each pair. This similarity was not seen with cohabitating individuals (26% mean difference; P = 0.005 vs. first-degree pairs) or unrelated individuals (25% mean difference; P = 0.001). Cohabitating individuals had within-pair differences in weight loss no more similar than randomly paired individuals (P = 0.60). The pair relationship explained a significant portion of the variation in weight loss in first-degree relatives [intraclass correlation coefficient (ICC) = 70.4%; P = 0.02] but not in random subjects (ICC = 0.9%; P = 0.48) or genetically unrelated cohabitating individuals (ICC = 14.3%; P = 0.67).
Conclusions
Genetic factors strongly influence the effect of RYGB on body weight. Identification of the specific genes that mediate this effect will advance our understanding of the biological mechanisms of weight loss after RYGB and should help identify patients who will benefit the most from this intervention.
Oxford University Press