Literature DB >> 32801363

When phenotype does not match genotype: importance of "real-time" refining of phenotypic information for exome data interpretation.

Lina Basel-Salmon1,2,3,4, Noa Ruhrman-Shahar5, Naama Orenstein6, Yael Goldberg5,7, Claudia Gonzaga-Jauregui8, Alan R Shuldiner8, Rivka Sukenik-Halevy5,7, Idit Maya5, Nurit Magal5, Ofir Hagari5, Noy Azulay5, Gabriel Arie Lidzbarsky5, Lily Bazak5.   

Abstract

PURPOSE: Clinical data provided to genetic testing laboratories are frequently scarce. Our purpose was to evaluate clinical scenarios where phenotypic refinement in proband's family members might impact exome data interpretation.
METHODS: Of 614 exomes, 209 were diagnostic and included in this study. Phenotypic information was gathered by the variant interpretation team from genetic counseling letters and images. If a discrepancy between reported clinical findings and presumably disease-causing variant segregation was observed, referring clinicians were contacted for phenotypic clarification.
RESULTS: In 16/209 (7.7%) cases, phenotypic refinement was important due to (1) lack of cosegregation of disease-causing variant with the reported phenotype; (2) identification of different disorders with overlapping symptoms in the same family; (3) similar features in proband and family members, but molecular cause identified in proband only; and (4) previously unrecognized maternal condition causative of child's phenotype. As a result of phenotypic clarification, in 12/16 (75%) cases definition of affected versus unaffected status in one of the family members has changed, and in one case variant classification has changed.
CONCLUSION: Detailed description of phenotypes in family members including differences in clinical presentations, even if subtle, are important in exome interpretation and should be communicated to the variant interpretation team.

Entities:  

Keywords:  exome; overlapping features; phenotypic information; variant classification; variant interpretation

Mesh:

Year:  2020        PMID: 32801363     DOI: 10.1038/s41436-020-00938-5

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  2 in total

1.  Implementation of chromosomal microarrays in a cohort of patients with intellectual disability at the Argentinean public health system.

Authors:  Lucía Daniela Espeche; Andrea Paula Solari; María Ángeles Mori; Rubén Martín Arenas; María Palomares; Myriam Pérez; Cinthia Martínez; Vanesa Lotersztein; Mabel Segovia; Romina Armando; Liliana Beatriz Dain; Julián Nevado; Pablo Lapunzina; Sandra Rozental
Journal:  Mol Biol Rep       Date:  2020-09-13       Impact factor: 2.316

2.  Paternal De Novo Variant of TAOK1 in a Fetus With Structural Brain Abnormalities.

Authors:  Lihua Yu; Chaoxiang Yang; Ning Shang; Hongke Ding; Juan Zhu; Yuanyuan Zhu; Haowen Tan; Yan Zhang
Journal:  Front Genet       Date:  2022-07-19       Impact factor: 4.772

  2 in total

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