Publications by authors named "N Jean-Marcais"

Background: Aarskog-Scott syndrome (AAS) is a rare condition with multiple congenital anomalies, caused by hemizygote variants in the gene. Its description was based mostly on old case reports, in whom a molecular diagnosis was not always available, or on small series. The aim of this study was to better delineate the phenotype and the natural history of AAS and to provide clues for the diagnosis and the management of the patients.

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Article Synopsis
  • Variants of uncertain significance (VUS) present challenges in diagnosing rare diseases, and episignatures have emerged as potential biomarkers to help classify these variants.
  • A study analyzed DNA methylation data from different groups, including carriers of pathogenic variants and healthy controls, using a k-nearest-neighbour classifier to assess the predictive abilities of various episignatures.
  • Results revealed that while some signatures (ATRX, DNMT3A, KMT2D, NSD1) achieved 100% sensitivity, others (CREBBP-RSTS, CHD8) showed lower performance, indicating that not all episignatures are equally reliable for diagnostic use and highlighting the need for further validation with larger sample sizes.
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Article Synopsis
  • - The study investigates the increasing frequency of multiple molecular diagnoses (MMDs) in individuals with congenital anomalies/intellectual disability (CA/ID) through clinical exome/genome sequencing, highlighting rates between 1.8% to 7.1% previously documented.
  • - Out of 880 positive exome sequencing diagnoses analyzed from 2014 to 2021, MMDs were found in 3.5% of cases, with additional potential MMDs identified in 4.4% of individuals, indicating their significance in disease comprehension.
  • - Emphasizing the necessity for reanalysis of sequencing data and collaboration among clinicians and biologists, the study underlines the importance of updated clinical information and enhanced bio
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Purpose: Within the Solve-RD project (https://solve-rd.eu/), the European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies aimed to investigate whether a reanalysis of exomes from unsolved cases based on ClinVar annotations could establish additional diagnoses. We present the results of the "ClinVar low-hanging fruit" reanalysis, reasons for the failure of previous analyses, and lessons learned.

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Patients with rare or ultra-rare genetic diseases, which affect 350 million people worldwide, may experience a diagnostic odyssey. High-throughput sequencing leads to an etiological diagnosis in up to 50% of individuals with heterogeneous neurodevelopmental or malformation disorders. There is a growing interest in additional omics technologies in translational research settings to examine the remaining unsolved cases.

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