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Impact of polygenic score for BMI on weight loss effectiveness and genome-wide association analysis.
Dashti, Hassan S; Scheer, Frank A J L; Saxena, Richa; Garaulet, Marta.
Afiliação
  • Dashti HS; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. hassan.dashti@mgh.harvard.edu.
  • Scheer FAJL; Broad Institute, Cambridge, MA, USA. hassan.dashti@mgh.harvard.edu.
  • Saxena R; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. hassan.dashti@mgh.harvard.edu.
  • Garaulet M; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA. hassan.dashti@mgh.harvard.edu.
Int J Obes (Lond) ; 48(5): 694-701, 2024 May.
Article em En | MEDLINE | ID: mdl-38267484
ABSTRACT

BACKGROUND:

While environmental factors play an important role in weight loss effectiveness, genetics may also influence its success. We examined whether a genome-wide polygenic score for BMI was associated with weight loss effectiveness and aimed to identify common genetic variants associated with weight loss.

METHODS:

Participants in the ONTIME study (n = 1210) followed a uniform, multimodal behavioral weight-loss intervention. We first tested associations between a genome-wide polygenic score for higher BMI and weight loss effectiveness (total weight loss, rate of weight loss, and attrition). We then conducted a genome-wide association study (GWAS) for weight loss in the ONTIME study and performed the largest weight loss meta-analysis with earlier studies (n = 3056). Lastly, we ran exploratory GWAS in the ONTIME study for other weight loss outcomes and related factors.

RESULTS:

We found that each standard deviation increment in the polygenic score was associated with a decrease in the rate of weight loss (Beta (95% CI) = -0.04 kg per week (-0.06, -0.01); P = 3.7 × 10-03) and with higher attrition after adjusting by treatment duration. No associations reached genome-wide significance in meta-analysis with previous GWAS studies for weight loss. However, associations in the ONTIME study showed effects consistent with published studies for rs545936 (MIR486/NKX6.3/ANK1), a previously noted weight loss locus. In the meta-analysis, each copy of the minor A allele was associated with 0.12 (0.03) kg/m2 higher BMI at week five of treatment (P = 3.9 × 10-06). In the ONTIME study, we also identified two genome-wide significant (P < 5×10-08) loci for the rate of weight loss near genes implicated in lipolysis, body weight, and metabolic regulation rs146905606 near NFIP1/SPRY4/FGF1; and rs151313458 near LSAMP.

CONCLUSION:

Our findings are expected to help in developing personalized weight loss approaches based on genetics. CLINICAL TRIAL REGISTRATION Obesity, Nutrigenetics, Timing, and Mediterranean (ONTIME; clinicaltrials.gov NCT02829619) study.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redução de Peso / Índice de Massa Corporal / Estudo de Associação Genômica Ampla / Obesidade Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Obes (Lond) Assunto da revista: METABOLISMO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redução de Peso / Índice de Massa Corporal / Estudo de Associação Genômica Ampla / Obesidade Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Obes (Lond) Assunto da revista: METABOLISMO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos