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Bayesian modeling to predict malignant hyperthermia susceptibility and pathogenicity of RYR1, CACNA1S and STAC3 variants.


ABSTRACT: Aim: Identify variants in RYR1, CACNA1S and STAC3, and predict malignant hyperthermia (MH) pathogenicity using Bayesian statistics in individuals clinically treated as MH susceptible (MHS). Materials & methods: Whole exome sequencing including RYR1, CACNA1S and STAC3 performed on 64 subjects with: MHS; suspected MH event or first-degree relative; and MH negative. Variant pathogenicity was estimated using in silico analysis, allele frequency and prior data to calculate Bayesian posterior probabilities. Results: Bayesian statistics predicted CACNA1S variant p.Thr1009Lys and RYR1 variants p.Ser1728Phe and p.Leu4824Pro are likely pathogenic, and novel STAC3 variant p.Met187Thr has uncertain significance. Nearly a third of MHS subjects had only benign variants. Conclusion: Bayesian method provides new approach to predict MH pathogenicity of genetic variants.

SUBMITTER: Sadhasivam S 

PROVIDER: S-EPMC7006767 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Bayesian modeling to predict malignant hyperthermia susceptibility and pathogenicity of <i>RYR1</i>, <i>CACNA1S</i> and <i>STAC3</i> variants.

Sadhasivam Senthilkumar S   Brandom Barbara W BW   Henker Richard A RA   McAuliffe John J JJ  

Pharmacogenomics 20190901 14


<b>Aim:</b> Identify variants in <i>RYR1</i>, <i>CACNA1S</i> and <i>STAC3</i>, and predict malignant hyperthermia (MH) pathogenicity using Bayesian statistics in individuals clinically treated as MH susceptible (MHS). <b>Materials & methods:</b> Whole exome sequencing including <i>RYR1</i>, <i>CACNA1S</i> and <i>STAC3</i> performed on 64 subjects with: MHS; suspected MH event or first-degree relative; and MH negative. Variant pathogenicity was estimated using <i>in silico</i> analysis, allele fr  ...[more]

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