Classification ofPTENgermline non-truncating variants: a new approach to interpretation

PTEN公司 考登综合征 遗传学 生物 生殖系 错义突变 生物信息学 表型 计算生物学 遗传异质性 人口 生物信息学 医学 基因 PI3K/AKT/mTOR通路 细胞凋亡 环境卫生
作者
Henri Margot,Natalie Jones,Thibaut Matis,Dominique Bonneau,Tiffany Busa,Françoise Bonnet,Solène Conrad,Louise Crivelli,Pauline Monin,Sandra Fert‐Ferrer,Isabelle Mortemousque,Sabine Raad,Didier Lacombe,F. Caux,Nicolas Sévenet,Virginie Bubien,Michel Longy
出处
期刊:Journal of Medical Genetics [BMJ]
卷期号:61 (12): 1071-1079
标识
DOI:10.1136/jmg-2024-109982
摘要

Background PTEN hamartoma tumour syndrome (PHTS) encompasses distinct syndromes, including Cowden syndrome resulting from PTEN pathogenic variants. Missense variants account for 30% of PHTS cases, but their classification remains challenging. To address these difficulties, guidelines were published by the Clinical Genome Resource PTEN Variant Curation Expert Panel. Methods Between 2010 and 2020, the Bergonie Institute reference laboratory identified 76 different non-truncating PTEN variants in 166 patients, 17 of which have not previously been reported. Variants were initially classified following the current guidelines. Subsequently, a new classification method was developed based on four main criteria: functional exploration, phenotypic features and familial segregation, in silico modelling, and allelic frequency. Results This new method of classification is more discriminative and reclassifies 25 variants, including 8 variants of unknown significance. Conclusion This report proposes a revision of the current PTEN 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 PTEN 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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