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Journal articles

Growth patterns of patients with Noonan syndrome: correlation with age and genotype

Abstract : Background: Growth patterns of patients with Noonan syndrome (NS) were established before the involved genes were identified. Objective: The goal of this study was to compare growth parameters according to genotype in patients with NS. Subjects and methods: The study population included 420 patients (176 females and 244 males) harboring mutations in the PTPN11, SOS1, RAF1, or KRAS genes. NS-associated PTPN11 mutations (NS-PTPN11) and NS with multiple lentigines-associated PTPN11 mutations (NSML-PTPN11) were distinguished. Birth measures and height and body mass index (BMI) measures at 2, 5, 10 years, and adulthood were compared with the general population and between genotypes. Results: Patients with NS were shorter at birth (mean birth length standard deviation score (SDS): -1.0 +/- 1.4; P < 0.001) and throughout childhood than the healthy population, with height SDS being -2.1 +/- 1.3 at 2 years, and -2.1 +/- 1.2 at 5 and 10 years and adulthood (P < 0.001). At birth, patients with NS-PTPN11 were significantly shorter and thinner than patients with NSML-PTPN11, SOS1, or KRAS. Growth retardation was significantly less severe and less frequent at 2 years in patients with NSML-PTPN11 and SOS1 than in patients with NS-PTPN11 (P < 0.001 and P = 0.002 respectively). Patients with NS had lower BMI at 10 years (P < 0.001). No difference between genotypes was demonstrated. Conclusion: Determining the growth patterns of patients with NS according to genotype should better inform clinicians about the natural course of growth in NS so that they can optimize the follow-up and management of these patients.
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https://hal.univ-lorraine.fr/hal-01662610
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Submitted on : Wednesday, December 13, 2017 - 12:04:17 PM
Last modification on : Monday, July 4, 2022 - 10:09:39 AM

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Catie Cessans, Virginie Ehlinger, Catherine Arnaud, Armelle yart, yline Capri, et al.. Growth patterns of patients with Noonan syndrome: correlation with age and genotype. European Journal of Endocrinology, BioScientifica, 2016, 174 (5), pp.641 - 650. ⟨10.1530/EJE-15-0922⟩. ⟨hal-01662610⟩

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