Shelley John P, Shi Mingjian, Peterson Josh F, Van Driest Sara L, Simmons Jill H, Mosley Jonathan D
Vanderbilt University Medical Center.
National Institutes of Health (NIH).
Res Sq. 2024 Oct 14:rs.3.rs-4921143. doi: 10.21203/rs.3.rs-4921143/v1.
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.
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.
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]).
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.
一部分身材矮小的儿童没有明确的临床解释,被诊断为特发性矮小(ISS)。我们假设身高多基因评分(PGS)可以识别出患有ISS且有未被认识到的遗传易感性导致身高较矮的儿童。
我们研究了电子健康记录(EHR)关联的DNA生物样本库(BioVU)中的534名儿科参与者,他们都接受了内分泌专家对身材矮小的评估。我们使用了先前验证过的PGS,并将其标准化为标准差(SDS)为1。使用Tukey's HSD估计身材矮小亚型之间的PGS差异。然后使用PGS和父母平均身高(MPH)预测每个参与者的成人身高,并使用Cohen's d按身材矮小亚型进行分层比较这些预测。使用带有ROC曲线下面积(AUC)分析的逻辑回归模型评估PGS区分ISS和潜在疾病导致的身材矮小的能力,并测试将PGS添加到预测模型中的增量益处(ΔAUC)。
在534名参与者中,22.1%患有ISS(中位数[IQR] PGS SDS = -1.31 [-2.15至-0.47]),6.6%患有家族性(遗传性)矮小(FSS)(-1.62 [-2.13至-0.54]),45.1%因潜在病理原因导致身材矮小(-0.74 [-1.23至-0.19])。患有ISS的儿童的PGS值与患有FSS的儿童相似(ΔPGS [95% CI] = 0.19 [-0.31至0.70],p = 0.75),但PGS生成的预测身高低于ISS儿童的MPH估计值(Cohen's d = -0.64;p = 4.0×10⁻⁹),但FSS儿童不是(Cohen's d = 0.05;p = 0.46),这表明MPH低估了ISS组的身高。患有ISS的儿童的PGS值低于有病理原因的儿童(ΔPGS = -0.60 SDS [-0.89至-0.31],p < 0.001),这表明患有ISS的儿童有更大的身高较矮的易感性。此外,PGS改善了ISS和病理性身材矮小之间的模型区分度(ΔAUC,+ 0.07 [95% CI,0.01至0.11])。
一些患有ISS的儿童有一种临床上未被认识到的多基因易感性导致身高较矮,这与患有FSS的儿童相当,且大于有潜在病理原因的儿童。PGS可以帮助临床医生识别出有良性身高较矮易感性的儿童。