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Multiple molecular diagnoses in the field of intellectual disability and congenital anomalies: 3.5% of all positive cases. | LitMetric

AI 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

Article Abstract

Purpose: Wide access to clinical exome/genome sequencing (ES/GS) enables the identification of multiple molecular diagnoses (MMDs), being a long-standing but underestimated concept, defined by two or more causal loci implicated in the phenotype of an individual with a rare disease. Only few series report MMDs rates (1.8% to 7.1%). This study highlights the increasing role of MMDs in a large cohort of individuals addressed for congenital anomalies/intellectual disability (CA/ID).

Methods: From 2014 to 2021, our diagnostic laboratory rendered 880/2658 positive ES diagnoses for CA/ID aetiology. Exhaustive search on MMDs from ES data was performed prospectively (January 2019 to December 2021) and retrospectively (March 2014 to December 2018).

Results: MMDs were identified in 31/880 individuals (3.5%), responsible for distinct (9/31) or overlapping (22/31) phenotypes, and potential MMDs in 39/880 additional individuals (4.4%).

Conclusion: MMDs are frequent in CA/ID and remain a strong challenge. Reanalysis of positive ES data appears essential when phenotypes are partially explained by the initial diagnosis or atypically enriched overtime. Up-to-date clinical data, clinical expertise from the referring physician, strong interactions between clinicians and biologists, and increasing gene discoveries and improved ES bioinformatics tools appear all the more fundamental to enhance chances of identifying MMDs. It is essential to provide appropriate patient care and genetic counselling.

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Source
http://dx.doi.org/10.1136/jmg-2023-109170DOI Listing

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