Why the study?
The genetic architecture of childhood-onset pulmonary arterial hypertension remains relatively poorly characterised despite increased morbidity and unexplained resistance to therapies.
Does whole exome sequencing improve molecular diagnosis in childhood-onset pulmonary arterial hypertension?
Does whole exome sequencing improve molecular diagnosis in childhood-onset pulmonary arterial hypertension?
Whole exome sequencing can provide a molecular diagnosis in over a quarter of previously unsolved childhood-onset PAH cases, highlighting the utility of next-generation sequencing in this population.
Supports integrating next-generation sequencing into pediatric pulmonary arterial hypertension evaluation; leaves open.
Pulmonary arterial hypertension (PAH) describes a rare, progressive vascular disease caused by the obstruction of pulmonary arterioles, typically resulting in right heart failure. Whilst PAH most often manifests in adulthood, paediatric disease is considered to be a distinct entity with increased morbidity and often an unexplained resistance to current therapies. Recent genetic studies have substantially increased our understanding of PAH pathogenesis, providing opportunities for molecular diagnosis and presymptomatic genetic testing in families. However, the genetic architecture of childhood-onset PAH remains relatively poorly characterised. We sought to investigate a previously unsolved paediatric cohort (n = 18) using whole exome sequencing to improve the molecular diagnosis of childhood-onset PAH. Through a targeted investigation of 26 candidate genes, we applied a rigorous variant filtering methodology to enrich for rare, likely pathogenic variants. This analysis led to the detection of novel PAH risk alleles in five genes, including the first identification of a heterozygous ATP13A3 mutation in childhood-onset disease. In addition, we provide the first independent validation of BMP10 and PDGFD as genetic risk factors for PAH. These data provide a molecular diagnosis in 28% of paediatric cases, reflecting the increased genetic burden in childhood-onset disease and highlighting the importance of next-generation sequencing approaches to diagnostic surveillance.
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Gelinas et al. (2020) studied this question.
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