Classification of <i>PTEN</i> germline non-truncating variants: a new approach to interpretation

This report proposes a revision of the current <i>PTEN</i> variant classification criteria which at present rely on functional tests evaluating only the phosphatase activity of PTEN and apply a particularly stringent clinical PHTS score.The classification of non-truncating variants of <i>PTEN</i> is facilitated by taking into consideration protein stability for variants with intact phosphatase activity, clinical and segregation criteria adapted to the phenotypic variability of PHTS and by specifying the allelic frequency of variants in the general population. This novel method of classification remains to be validated in a prospective cohort.

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Publication Details

Journal
Journal of Medical Genetics
Published
2024-10-02
DOI
https://doi.org/10.1136/jmg-2024-109982
Citations
1
Primary Topic
PI3K/AKT/mTOR signaling in cancer
Type
article
Field-Weighted Citation Impact
0.23

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article

Classification of PTEN germline non-truncating variants: a new approach to interpretation

Michel Longy, Tiffany Busa, Sabine Raad, Isabelle Mortemousque et al.
1 citations
Journal of Medical Genetics
PI3K/AKT/mTOR signaling in cancer
0.23
article

Classification of PTEN germline non-truncating variants: a new approach to interpretation

Michel Longy, Tiffany Busa, Sabine Raad, Isabelle Mortemousque, F. Caux, Louise Crivelli, Natalie Jones, Pauline Monin, Nicolas Sévenet, Thibaut Matis, Virginie Bubien, Solène Conrad, Henri Margot, Dominique Bonneau, Didier Lacombe, Françoise Bonnet, Sandra Fert‐Ferrer
article en
1 citations

Abstract

This report proposes a revision of the current <i>PTEN</i> variant classification criteria which at present rely on functional tests evaluating only the phosphatase activity of PTEN and apply a particularly stringent clinical PHTS score.The classification of non-truncating variants of <i>PTEN</i> is facilitated by taking into consideration protein stability for variants with intact phosphatase activity, clinical and segregation criteria adapted to the phenotypic variability of PHTS and by specifying the allelic frequency of variants in the general population. This novel method of classification remains to be validated in a prospective cohort.

Journal of Medical GeneticsVol. 61(12)
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Inserm (FR), Centre Hospitalier Universitaire de Grenoble (FR), Centre Hospitalier Universitaire de Bordeaux (FR), Centre Hospitalier Universitaire de Nantes (FR), Assistance Publique Hôpitaux de Marseille (FR), Centre Hospitalier Universitaire de Tours (FR), Bordeaux Population Health (FR), Services déconcentrés d'appui à la recherche Pays de la Loire (FR), Centre Hospitalier Métropole Savoie (FR), Centre Eugène Marquis (FR), Hôpital Pellegrin (FR), Hôpital Lyon Sud (FR), Hôpital Avicenne (FR), Services déconcentrés d'appui à la recherche Val de Loire (FR), Institut Bergonié (FR), Agence Régionale de Santé Nouvelle-Aquitaine (FR), Université d'Angers (FR)
Institut National Du Cancer
Reduced inequalities
Openalex Percentile: Top 42%
PI3K/AKT/mTOR signaling in cancer
0.23
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