Fetal Polygenic Growth Score and Risk for Large for Gestational Age Birth Weight in Nulliparas: Secondary Analysis of a Prospective Cohort Study
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View abstract on PubMed
Summary
This summary is machine-generated.A polygenic growth score (PGS) can help identify fetuses at higher or lower risk for large for gestational age birth weight. This genetic score may aid in targeted interventions for high-risk pregnancies, particularly those with maternal obesity.
Area Of Science
- Genetics
- Obstetrics
- Pediatrics
Background
- Large for gestational age (LGA) birth weight poses short- and long-term health risks to offspring.
- Fetal genetics is a potential contributor to the risk of LGA birth weight.
Purpose Of The Study
- To evaluate the association between a polygenic growth score (PGS) and the risk of LGA birth weight.
- To examine the interplay between PGS, maternal glycemia, and body mass index (BMI) in relation to LGA birth weight risk.
Main Methods
- Secondary analysis of a prospective multicenter cohort study.
- Genotyping of infants (n=3865) and calculation of a previously developed PGS for LGA birth weight.
- Statistical evaluation using ANOVA, Chi-squared tests, and a regularized linear model to assess the relationship between PGS tertiles, maternal BMI, and glycemia with LGA risk.
Main Results
- A low PGS (first tertile) was associated with decreased LGA risk (OR 0.71), while a high PGS (third tertile) was linked to increased LGA risk (OR 1.29).
- Maternal BMI demonstrated a stronger association with LGA risk than maternal glycemia.
- Elevated maternal BMI (≥35 kg/m²) combined with a higher PGS (second or third tertile) significantly increased the odds of LGA birth weight.
Conclusions
- The PGS offers a modest capability for identifying fetuses at varying risks for LGA birth weight within a diverse US cohort.
- The PGS may be particularly useful in identifying fetuses at increased risk among individuals with a BMI ≥35 kg/m², potentially guiding targeted interventions like lifestyle modifications.
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