Impact of polygenic score for BMI on weight loss effectiveness and genome-wide association analysis
An erratum to this article was published (Int J Obes (Lond), May 2024 ↗)
Authors' conclusion
Our findings are expected to help in developing personalized weight loss approaches based on genetics.
Study context
- Population
- Participants in the Obesity, Nutrigenetics, Timing, and Mediterranean (ONTIME) study following a uniform, multimodal behavioral weight-loss interventionmeta-analysis n = 3056
- Participants
- 1,210 participants
- Comparison
- Per SD increment in genome-wide polygenic score for higher BMI
- Outcome
- Weight loss effectiveness (total weight loss, rate of weight loss, and attrition)
Methodological detailspolygenic score analysis and genome-wide association study with meta-analysis, uniform multimodal behavioral weight-loss intervention, genome-wide association study (GWAS) meta-analysis with earlier studies, exploratory GWAS
- Polygenic score analysis and genome-wide association study with meta-analysis
- Uniform multimodal behavioral weight-loss intervention
- GWAS meta-analysis with earlier studies
- Exploratory GWAS
Pooled result
As reported in the abstract
Rate of weight loss per SD increment in BMI polygenic score
Beta (95% CI) for rate of weight loss per SD of polygenic score, kg per week; P = 3.7 × 10-03
−0.04
−0.06, −0.01
Further pooled results
GWAS meta-analysis for weight loss
- rs545936 (MIR486/NKX6.3/ANK1): BMI per copy of minor A allele at week five, kg/m² higher (P = 3.9 × 10-06)
- 0.12 (0.03)
- No associations reached genome-wide significance in meta-analysis with previous GWAS
Rate of weight loss, GWAS in ONTIME
- Genome-wide significant (P < 5×10-08) loci: rs146905606 near NFIP1/SPRY4/FGF1; rs151313458 near LSAMP
- 2 loci
Original publication
Impact of polygenic score for BMI on weight loss effectiveness and genome-wide association analysis. Int J Obes (Lond). Published 24 January 2024. doi:10.
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