Literature DB >> 21952876

Influence of eight unclassified missense variants of the MLH1 gene on Lynch syndrome susceptibility.

Yimei Fan1, Jinyun Chen, Wei Wang, Puyuan Wu, Wenxian Zhi, Binshuang Xue, Wanfen Zhang, Yaping Wang.   

Abstract

Missense mutations in MLH1 have frequently been detected in patients with Lynch syndrome, but their genetic significance has not been extensively assessed. In this study, we attempt to evaluate the etiological role of eight MLH1 missense variants. The variants were analyzed for their ability to affect MLH1 protein interaction with its partner PMS2 in vivo employing a yeast two-hybrid system. In addition, a SIFT (sorting intolerant from tolerant) algorithm was adopted to predict the effects of amino acid substitutions. Finally, scanning of mutations in a normal Chinese population and assay of the clinical characteristics have all been taken into account. Our results demonstrated that the MLH1 variants D485E and L653R cause functional alterations of the human MutLα complex significantly. The R265C, D304V, A586P, and R755S variants affect partial interaction. The remaining two variants, N38D and L559R, could be nonfunctional polymorphisms or might affect the mismatch repair system through other mechanisms.

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Year:  2011        PMID: 21952876     DOI: 10.1007/s10528-011-9467-z

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  3 in total

Review 1.  Advances in the study of Lynch syndrome in China.

Authors:  Jun-Yu Lu; Jian-Qiu Sheng
Journal:  World J Gastroenterol       Date:  2015-06-14       Impact factor: 5.742

2.  SIFT web server: predicting effects of amino acid substitutions on proteins.

Authors:  Ngak-Leng Sim; Prateek Kumar; Jing Hu; Steven Henikoff; Georg Schneider; Pauline C Ng
Journal:  Nucleic Acids Res       Date:  2012-06-11       Impact factor: 16.971

3.  Functional implications of the p.Cys680Arg mutation in the MLH1 mismatch repair protein.

Authors:  Mev Dominguez-Valentin; Mark Drost; Christina Therkildsen; Eva Rambech; Hans Ehrencrona; Maria Angleys; Thomas Lau Hansen; Niels de Wind; Mef Nilbert; Lene Juel Rasmussen
Journal:  Mol Genet Genomic Med       Date:  2014-05-06       Impact factor: 2.183

  3 in total

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