A polygenic score for height identifies an unmeasured genetic predisposition among pediatric patients with idiopathic short stature

被引:1
作者
Shelley, John P. [1 ]
Shi, Mingjian [2 ,3 ]
Peterson, Josh F. [1 ,4 ]
Van Driest, Sara L. [5 ,6 ]
Simmons, Jill H. [6 ]
Mosley, Jonathan D. [1 ,4 ]
机构
[1] Vanderbilt Univ, Dept Biomed Informat, Med Ctr, 1285 Med Res Bldg 4, Nashville, TN 37232 USA
[2] HENRY M JACKSON FDN ADVANCEMENT MIL MED, Washington, DC USA
[3] Uniformed Serv Univ Hlth Sci, Bethesda, MD USA
[4] Vanderbilt Univ, Med Ctr, Dept Med, Nashville 37235, TN USA
[5] NIH, All Us Res Program, Bethesda, MD USA
[6] Vanderbilt Univ, Med Ctr, Dept Pediat, Nashville, TN USA
关键词
Polygenic scores; Height; Common genetic variation; Short stature; Idiopathic short stature;
D O I
10.1186/s13073-025-01455-3
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
BackgroundA subset of children with short stature do not have an identified clinical explanation after extensive diagnostic evaluation. We hypothesized that a polygenic score for height (PGSheight) could identify children with non-familial idiopathic short stature (ISS-NF) who carry a polygenic predisposition to shorter height that is not accounted for by existing measures.MethodsWe studied 534 pediatric participants in an electronic health record (EHR)-linked DNA biobank (BioVU) who had been evaluated for short stature by an endocrinologist. Participants were classified as having one of five short stature subtypes: primary growth disorders, secondary growth disorders, idiopathic short stature (ISS), which was sub-classified into familial (ISS-F) and non-familial (ISS-NF), and constitutional delay of puberty (ISS-DP). Differences in polygenic predisposition between subtypes were analyzed using a validated PGSheight which was standardized to a standard deviation score (SDS). Adult height predictions were generated using the PGSheight and mid-parental height (MPH). Within-child differences in height predictions were compared across subtypes. Logistic regression models and AUC analyses were used to test the ability of the PGSheight to differentiate ISS-NF from growth disorders. The incremental improvement (Delta AUC) of adding the PGSheight to prediction models with MPH was also estimated.ResultsAmong the 534 participants, 29.0% had secondary growth disorders, 24.9% had ISS-F, 20.2% had ISS-NF, 17.2% had ISS-DP, and 8.6% had primary growth disorders. Participants with ISS-NF had similar PGSheight values to those with ISS-F (difference [Delta] in PGSheight SDS [95% CI] = 0.19 [- 0.31 to 0.70], p = 0.75). Predicted heights generated by the PGSheight were lower than the MPH estimate for children with ISS-NF (Delta[PGSheight - MPH] = - 0.37 SDS; p = 3.2 x 10-9) but not for children with ISS-F (Delta = - 0.07; p = 0.56). Children with ISS-NF also had lower PGSheight than children with primary growth disorders (Delta PGSheight = - 0.53 [- 1.03 to - 0.04], p = 0.03) and secondary growth disorders (Delta = - 0.45 [- 0.80 to - 0.10], p = 0.005). The PGSheight improved model discrimination between ISS-NF and children with primary (Delta AUC, + 0.07 [95% CI, 0.02 to 0.17]) and secondary growth disorders (Delta AUC, + 0.03 [95% CI, 0.01 to 0.10]).ConclusionsSome children with ISS-NF have an unrecognized polygenic predisposition to shorter height, similar to children with ISS-F and greater than those with growth disorders. A PGSheight could aid clinicians in identifying children with a benign, polygenic predisposition to shorter height.
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