AI Article Synopsis

  • The study investigates idiopathic short stature (ISS) in children, hypothesizing that a polygenic score for height (PGS) may reveal an underlying heritable predisposition to shorter stature.
  • Out of 534 pediatric participants, 22.1% were diagnosed with ISS, showing slightly lower PGS values compared to those with familial short stature but significantly lower than those with underlying health issues, indicating a greater genetic predisposition to short stature in ISS cases.
  • The findings suggest PGS not only differentiates between ISS and short stature due to diseases but also enhances predictive models for adult height, highlighting its potential clinical usefulness in assessing children with unexplained short stature.

Article Abstract

Background: A subset of children with short stature do not have an identified clinical explanation and are assigned a diagnosis of idiopathic short stature (ISS). We hypothesized that a polygenic score for height (PGS) could identify children with ISS who have an unrecognized heritable predisposition to shorter height.

Methods: We examined 534 pediatric participants in an EHR-linked DNA biobank (BioVU) who had undergone an evaluation for short stature by an endocrinologist. We used a previously validated PGS and standardized it to a standard deviation (SDS) of 1. PGS differences between short stature subtypes was estimated using Tukey's HSD. The PGS and mid-parental height (MPH) were then used to predict adult heights for each participant and these predictions were compared using Cohen's stratifying by short stature subtype. The ability of the PGS to discriminate between ISS and short stature due to underlying disease was evaluated using logistic regression models with area under the ROC curve (AUC) analyses and testing the incremental benefit (ΔAUC) of adding the PGS to prediction models.

Results: Among the 534 participants, 22.1% had ISS (median [IQR] PGS SDS = -1.31 [-2.15 to -0.47]), 6.6% had familial (genetic) short stature (FSS) (-1.62 [-2.13 to -0.54]), and 45.1% had short stature due to underlying pathology (-0.74 [-1.23 to -0.19]). Children with ISS had similar PGS values as those with FSS (ΔPGS [95% CI] = 0.19 [-0.31 to 0.70], = 0.75), but predicted heights generated by the PGS were lower than the MPH estimate for children with ISS ( = -0.64; = 4.0×10) but not FSS ( = 0.05; = 0.46), suggesting that MPH underestimates height in the ISS group. Children with ISS had lower PGS values than children with pathology (ΔPGS = -0.60 SDS [-0.89 to -0.31], p < 0.001), suggesting children with ISS have a larger predisposition to shorter height. In addition, the PGS improved model discrimination between ISS and pathologic short stature (ΔAUC, + 0.07 [95% CI, 0.01 to 0.11]).

Conclusions: Some children with ISS have a clinically unrecognized polygenic predisposition to shorter height that is comparable to children with FSS and larger than those with underlying pathology. A PGS could help clinicians identify children who have a benign predisposition to shorter height.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11527231PMC
http://dx.doi.org/10.21203/rs.3.rs-4921143/v1DOI Listing

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