Combined biochemical profiling and DNA sequencing in the expanded newborn screening for inherited metabolic diseases: the experience in an Italian reference center

外显子组测序 DNA测序 计算生物学 新生儿筛查 假阳性悖论 生物 人类遗传学 遗传学 生物信息学 医学 基因 突变 计算机科学 机器学习
作者
Simona Fecarotta,Lorenzo Vaccaro,Alessandra Verde,Marianna Alagia,Alessandro Rossi,Chiara Colantuono,Maria Teresa Cacciapuoti,Patrizia Annunziata,Sara Riccardo,Antonio Grimaldi,T Fusco,Rosa De Santis,Francesco Barretta,Lucia Albano,Daniela Crisci,Fabiana Vallone,Antonietta Tarallo,Marcella Cesana,Nicola Brunetti‐Pierri,Giulia Frisso,Margherita Ruoppolo,Davide Cacchiarelli,Giancarlo Parenti
出处
期刊:Orphanet Journal of Rare Diseases [Springer Nature]
卷期号:20 (1)
标识
DOI:10.1186/s13023-025-03546-1
摘要

Abstract Background Newborn screening (NBS) programs have significantly improved the health and outcomes of patients with inherited metabolic disorders (IMDs). Methods based on liquid chromatography/mass spectrometry (LC–MS/MS) analysis are viewed worldwide as the gold standard procedure for the expanded NBS programs for these disorders. Advanced molecular technologies point to genomic sequencing as an alternative and feasible strategy for the screening of genetic diseases, including IMDs. However, each of the two approaches has potential limitations when used as a first-tier analysis. In this study, we tested a workflow-based parallel biochemical and sequencing analyses to determine whether this approach could improve the diagnostic outcome. Results For each patient identified by LC–MS/MS as positive, we performed both the biochemical confirmatory tests and next-generation sequencing (NGS) procedures from the same Dried Blood Spot (DBS). NGS analysis was based on applying Exome Sequencing libraries, limiting the analysis to 105 actionable genes involved in IMDs. This allows overtaking the actual limitations of NBS on DBS, enhancing our capacity to identify variants that can drive a genetic disease. Through this approach, we could reach 100% of cases solved, with 37.9% of cases (41/108) for which the combination of the biochemical and NGS analysis was indispensable for a correct diagnosis. In total, we could identify 17 affected, 34 false positives, 12 individuals referred to us for maternal conditions. In 45 newborns the molecular analysis showed heterozygosity for mutations in one or more of the genes analyzed, with results compatible with the biochemical profile indicative of NBS positivity. Conclusions In this study, we validated the performance of the proposed workflow. The advantage of this approach is limiting molecular analysis only to positive newborns and using a restricted panel of 105 genes relevant for the expanded NBS, with a 100% rate of diagnosis and potential reduction of the costs related to NBS procedures and reduced impact on patients and families.

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