Obesity risk in young adults from the Jerusalem Perinatal Study (JPS): the contribution of polygenic risk and early life exposure
Main finding · Obesity (BMI ≥ 30) predictionResult — go to the resultNRI 0.147 95% CI 0.068–0.225Authors' conclusion
Inclusion of early life exposures, such as mppBMI and maternal smoking, to a model based on PRS improves obesity risk prediction in an Israeli population-sample.
Study context
- Population
- Jerusalem Perinatal Study offspring with data at birth and BMI and waist circumference (WC) measured at age 32
- Exposure
- Polygenic risk score (PRS) model vs PRS plus early socio-demographic and perinatal exposures
- Outcome
- Prediction of obesity (BMI ≥ 30): AUC, NRI and integrated discrimination improvement (IDI)
- Follow-up
- Age 32
Methodological detailsstepwise linear and logistic models, polygenic risk score
- Stepwise linear and logistic models
- Polygenic risk score
Main finding
Obesity (BMI ≥ 30) prediction
Net reclassification improvement (NRI)
0.147
95% CI 0.068–0.225
By group
PRS model
0.69
PRS + early life exposures
0.73
As reported in the abstract
Observational data: associations, not effects.
Further findings
Association of PRS (per 1 SD) with BMI and WC · age 32
- BMI, β per SD PRS
- 1.40
- WC, β per SD PRS
- 2.45
- Attenuation of associations after adding early life exposures
- 13.7-14.2%
Association of higher maternal pre-pregnancy BMI (mppBMI) with offspring BMI and WC · age 32
- Offspring BMI, β
- 0.39
- Offspring WC, β
- 0.79
- P
- P < 0.001
Original publication
Obesity risk in young adults from the Jerusalem Perinatal Study (JPS): the contribution of polygenic risk and early life exposure. Int J Obes (Lond). Published 12 March 2024. doi:10.
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