Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery: a 60-month follow-up study

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery : a 60-month follow-up study. / Mas-Bermejo, Patricia; Azcona-Granada, Natalia; Peña, Elionora; Lecube, Albert; Ciudin, Andreea; Simó, Rafael; Luna, Alexis; Rigla, Mercedes; Arenas, Concepción; Caixàs, Assumpta; Rosa, Araceli.

In: Surgery for Obesity and Related Diseases, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Mas-Bermejo, P, Azcona-Granada, N, Peña, E, Lecube, A, Ciudin, A, Simó, R, Luna, A, Rigla, M, Arenas, C, Caixàs, A & Rosa, A 2024, 'Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery: a 60-month follow-up study', Surgery for Obesity and Related Diseases. https://doi.org/10.1016/j.soard.2024.04.002

APA

Mas-Bermejo, P., Azcona-Granada, N., Peña, E., Lecube, A., Ciudin, A., Simó, R., Luna, A., Rigla, M., Arenas, C., Caixàs, A., & Rosa, A. (Accepted/In press). Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery: a 60-month follow-up study. Surgery for Obesity and Related Diseases. https://doi.org/10.1016/j.soard.2024.04.002

Vancouver

Mas-Bermejo P, Azcona-Granada N, Peña E, Lecube A, Ciudin A, Simó R et al. Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery: a 60-month follow-up study. Surgery for Obesity and Related Diseases. 2024. https://doi.org/10.1016/j.soard.2024.04.002

Author

Mas-Bermejo, Patricia ; Azcona-Granada, Natalia ; Peña, Elionora ; Lecube, Albert ; Ciudin, Andreea ; Simó, Rafael ; Luna, Alexis ; Rigla, Mercedes ; Arenas, Concepción ; Caixàs, Assumpta ; Rosa, Araceli. / Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery : a 60-month follow-up study. In: Surgery for Obesity and Related Diseases. 2024.

Bibtex

@article{a61c66a0741f49d8abf60063a05d2f72,
title = "Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery: a 60-month follow-up study",
abstract = "Background: Obesity is a polygenic multifactorial disease. Recent genome-wide association studies have identified several common loci associated with obesity-related phenotypes. Bariatric surgery (BS) is the most effective long-term treatment for patients with severe obesity. The huge variability in BS outcomes between patients suggests a moderating effect of several factors, including the genetic architecture of the patients. Objective: To examine the role of a genetic risk score (GRS) based on 7 polymorphisms in 5 obesity-candidate genes (FTO, MC4R, SIRT1, LEP, and LEPR) on weight loss after BS. Setting: University hospital in Spain. Methods: We evaluated a cohort of 104 patients with severe obesity submitted to BS (Roux-en-Y gastric bypass or sleeve gastrectomy) followed up for >60 months (lost to follow-up, 19.23%). A GRS was calculated for each patient, considering the number of carried risk alleles for the analyzed genes. During the postoperative period, the percentage of excess weight loss total weight loss and changes in body mass index were evaluated. Generalized estimating equation models were used for the prospective analysis of the variation of these variables in relation to the GRS. Results: The longitudinal model showed a significant effect of the GRS on the percentage of excess weight loss (P = 1.5 × 10–5), percentage of total weight loss (P = 3.1 × 10–8), and change in body mass index (P = 7.8 × 10–16) over time. Individuals with a low GRS seemed to experience better outcomes at 24 and 60 months after surgery than those with a higher GRS. Conclusion: The use of the GRS in considering the polygenic nature of obesity seems to be a useful tool to better understand the outcome of patients with obesity after BS.",
keywords = "Bariatric surgery, Genetic risk score, Long-term follow-up, Obesity, Weight loss",
author = "Patricia Mas-Bermejo and Natalia Azcona-Granada and Elionora Pe{\~n}a and Albert Lecube and Andreea Ciudin and Rafael Sim{\'o} and Alexis Luna and Mercedes Rigla and Concepci{\'o}n Arenas and Assumpta Caix{\`a}s and Araceli Rosa",
note = "Publisher Copyright: {\textcopyright} 2024 American Society for Metabolic and Bariatric Surgery",
year = "2024",
doi = "10.1016/j.soard.2024.04.002",
language = "English",
journal = "Surgery for Obesity and Related Diseases",
issn = "1550-7289",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery

T2 - a 60-month follow-up study

AU - Mas-Bermejo, Patricia

AU - Azcona-Granada, Natalia

AU - Peña, Elionora

AU - Lecube, Albert

AU - Ciudin, Andreea

AU - Simó, Rafael

AU - Luna, Alexis

AU - Rigla, Mercedes

AU - Arenas, Concepción

AU - Caixàs, Assumpta

AU - Rosa, Araceli

N1 - Publisher Copyright: © 2024 American Society for Metabolic and Bariatric Surgery

PY - 2024

Y1 - 2024

N2 - Background: Obesity is a polygenic multifactorial disease. Recent genome-wide association studies have identified several common loci associated with obesity-related phenotypes. Bariatric surgery (BS) is the most effective long-term treatment for patients with severe obesity. The huge variability in BS outcomes between patients suggests a moderating effect of several factors, including the genetic architecture of the patients. Objective: To examine the role of a genetic risk score (GRS) based on 7 polymorphisms in 5 obesity-candidate genes (FTO, MC4R, SIRT1, LEP, and LEPR) on weight loss after BS. Setting: University hospital in Spain. Methods: We evaluated a cohort of 104 patients with severe obesity submitted to BS (Roux-en-Y gastric bypass or sleeve gastrectomy) followed up for >60 months (lost to follow-up, 19.23%). A GRS was calculated for each patient, considering the number of carried risk alleles for the analyzed genes. During the postoperative period, the percentage of excess weight loss total weight loss and changes in body mass index were evaluated. Generalized estimating equation models were used for the prospective analysis of the variation of these variables in relation to the GRS. Results: The longitudinal model showed a significant effect of the GRS on the percentage of excess weight loss (P = 1.5 × 10–5), percentage of total weight loss (P = 3.1 × 10–8), and change in body mass index (P = 7.8 × 10–16) over time. Individuals with a low GRS seemed to experience better outcomes at 24 and 60 months after surgery than those with a higher GRS. Conclusion: The use of the GRS in considering the polygenic nature of obesity seems to be a useful tool to better understand the outcome of patients with obesity after BS.

AB - Background: Obesity is a polygenic multifactorial disease. Recent genome-wide association studies have identified several common loci associated with obesity-related phenotypes. Bariatric surgery (BS) is the most effective long-term treatment for patients with severe obesity. The huge variability in BS outcomes between patients suggests a moderating effect of several factors, including the genetic architecture of the patients. Objective: To examine the role of a genetic risk score (GRS) based on 7 polymorphisms in 5 obesity-candidate genes (FTO, MC4R, SIRT1, LEP, and LEPR) on weight loss after BS. Setting: University hospital in Spain. Methods: We evaluated a cohort of 104 patients with severe obesity submitted to BS (Roux-en-Y gastric bypass or sleeve gastrectomy) followed up for >60 months (lost to follow-up, 19.23%). A GRS was calculated for each patient, considering the number of carried risk alleles for the analyzed genes. During the postoperative period, the percentage of excess weight loss total weight loss and changes in body mass index were evaluated. Generalized estimating equation models were used for the prospective analysis of the variation of these variables in relation to the GRS. Results: The longitudinal model showed a significant effect of the GRS on the percentage of excess weight loss (P = 1.5 × 10–5), percentage of total weight loss (P = 3.1 × 10–8), and change in body mass index (P = 7.8 × 10–16) over time. Individuals with a low GRS seemed to experience better outcomes at 24 and 60 months after surgery than those with a higher GRS. Conclusion: The use of the GRS in considering the polygenic nature of obesity seems to be a useful tool to better understand the outcome of patients with obesity after BS.

KW - Bariatric surgery

KW - Genetic risk score

KW - Long-term follow-up

KW - Obesity

KW - Weight loss

U2 - 10.1016/j.soard.2024.04.002

DO - 10.1016/j.soard.2024.04.002

M3 - Journal article

C2 - 38744640

AN - SCOPUS:85192834441

JO - Surgery for Obesity and Related Diseases

JF - Surgery for Obesity and Related Diseases

SN - 1550-7289

ER -

ID: 393273169