Association between plausible genetic factors and weight loss from GLP1-RA and bariatric surgery: a multi-ancestry study in 10 960 individuals from 9 biobanks
Jakob GermaniD, Mattia CordioliiD, Veronica TozzoiD, Sarah UrbutiD, Kadri ArumäeiD, Roelof A. J. SmitiD, Jiwoo LeeiD, Josephine H. LiiD, Adrian JanucikiD, Yi DingiD, Akintunde O. Akinkuolie, Henrike HeyneiD, Andrea EoliiD, Chadi SaadiD, Yasser A. Al-SarrajiD, Rania AbdellatifiD, Shaban Mohammed, Moza Al HailiD, Alexandra Barry, Zhe WangiD, Tatiana CajusoiD, Andrea CorbettaiD, Pradeep NatarajaniD, Samuli RipattiiD, Anthony PhilippakisiD, , Andrea GannaiD
Abstract
Obesity is a significant public health concern. GLP-1 receptor agonists (GLP1-RA), predominantly in use as a type 2 diabetes treatment, are a promising pharmacological approach for weight loss, while bariatric surgery (BS) remains a durable, but invasive, intervention. Despite observed heterogeneity in weight loss effects, the genetic effects on weight loss from GLP1-RA and BS have not been extensively explored in large sample sizes, and most studies have focused on differences in race and ethnicity, rather than genetic ancestry. We studied whether genetic factors, previously shown to affect body weight, impact weight loss due to GLP1-RA therapy or BS in 10,960 individuals from 9 multi-ancestry biobank studies in 6 countries. The average weight change between 6 and 12 months from therapy initiation was -3.93% for GLP1-RA users, with marginal differences across genetic ancestries. For BS patients the weight change between 6 and 48 months from the operation was -21.17%. There were no significant associations between weight loss due to GLP1-RA and polygenic scores for BMI or type 2 diabetes or specific missense variants in the GLP1R, PCSK1 and APOE genes, after multiple-testing correction. A higher polygenic score for BMI was significantly linked to lower weight loss after BS (+0.7% for 1 standard deviation change in the polygenic score, P = 1.24x10-4), but the effect was modest and further reduced in sensitivity analyses. Our findings suggest that existing polygenic scores related to weight and type 2 diabetes and missense variants in the drug target gene do not have a large impact on GLP1-RA effectiveness. Our results also confirm the effectiveness of these treatments across all major continental ancestry groups considered.
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