Functional characterization of MLH1 missense variants unveils mechanisms of pathogenicity and clarifies role in cancer.
Marwa MahdouaniSlim Ben AhmedFahmi HmilaHenda RaisRihab Ben SghaierHanene SaadMariem Ben SaidSaber MasmoudiDorra HmidaAngela BriegerStefan ZeuzemAli SaadMoez GribaaGuido PlotzPublished in: PloS one (2022)
Lynch syndrome is a heritable condition caused by a heterozygous germline inactivating mutation of the DNA mismatch repair (MMR) genes, most commonly the MLH1 gene. However, one third of the identified alterations are missense variants, for which the clinical significance is unclear in many cases. We have identified three MLH1 missense alterations (p.(Glu736Lys), p.(Pro640Thr) and p.(Leu73Pro)) in six individuals from large Tunisian families. For none of these alterations, a classification of pathogenicity was available, consequently diagnosis, predictive testing and targeted surveillance in affected families was impossible. We therefore performed functional laboratory testing using a system testing stability as well as catalytic activity that includes clinically validated reference variants. Both p.(Leu73Pro) and p.(Pro640Thr) were found to be non-functional due to severe defects in protein stability and catalytic activity. In contrast, p.(Glu736Lys) was comparable to the wildtype protein and therefore considered a neutral substitution. Analysis of residue conservation and of the structural roles of the substituted residues corroborated these findings. In conjunction with the available clinical data, two variants fulfil classification criteria for class 4 "likely pathogenic". The findings of this work clarify the mechanism of pathogenicity of two unclear MLH1 variants and enables predictive testing and targeted surveillance in members of carrier families worldwide.
Keyphrases
- copy number
- genome wide
- anti inflammatory
- public health
- intellectual disability
- machine learning
- deep learning
- early onset
- cancer therapy
- magnetic resonance
- biofilm formation
- computed tomography
- staphylococcus aureus
- molecular docking
- drug delivery
- dna repair
- cystic fibrosis
- big data
- single molecule
- small molecule
- circulating tumor cells
- candida albicans
- artificial intelligence
- lymph node metastasis