<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dosi C</submitter><funding>FAS Salute 2018</funding><funding>Ministry of Health</funding><funding>Regione Toscana</funding><funding>Italian Ministry of Health-Ricerca Corrente</funding><funding>5×1000</funding><funding>InGene2.0</funding><pagination>298</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9956305</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(2)</volume><pubmed_abstract>Thanks to advances in gene sequencing, &lt;i>RYR1&lt;/i>-related myopathy (RYR1-RM) is now known to manifest itself in vastly heterogeneous forms, whose clinical interpretation is, therefore, highly challenging. We set out to develop a novel unsupervised cluster analysis method in a large patient population. The objective was to analyze the main &lt;i>RYR1&lt;/i>-related characteristics to identify distinctive features of RYR1-RM and, thus, offer more precise genotype-phenotype correlations in a group of potentially life-threatening disorders. We studied 600 patients presenting with a suspicion of inherited myopathy, who were investigated using next-generation sequencing. Among them, 73 index cases harbored variants in &lt;i>RYR1&lt;/i>. In an attempt to group genetic variants and fully exploit information </pubmed_abstract><journal>Genes</journal><pubmed_title>Using Cluster Analysis to Overcome the Limits of Traditional Phenotype-Genotype Correlations: The Example of &lt;i>RYR1&lt;/i>-Related Myopathies.</pubmed_title><pmcid>PMC9956305</pmcid><funding_grant_id>RF-2013-02359065</funding_grant_id><pubmed_authors>Dotti MT</pubmed_authors><pubmed_authors>Malandrini A</pubmed_authors><pubmed_authors>Valente M</pubmed_authors><pubmed_authors>Santorelli FM</pubmed_authors><pubmed_authors>Filosto M</pubmed_authors><pubmed_authors>Astrea G</pubmed_authors><pubmed_authors>Giannini F</pubmed_authors><pubmed_authors>Donati MA</pubmed_authors><pubmed_authors>Galatolo D</pubmed_authors><pubmed_authors>Sampaolo S</pubmed_authors><pubmed_authors>Moggio M</pubmed_authors><pubmed_authors>Maioli MA</pubmed_authors><pubmed_authors>Mignarri A</pubmed_authors><pubmed_authors>Schenone A</pubmed_authors><pubmed_authors>Tasca G</pubmed_authors><pubmed_authors>Siciliano G</pubmed_authors><pubmed_authors>Tupler R</pubmed_authors><pubmed_authors>Bruno C</pubmed_authors><pubmed_authors>Gigli GL</pubmed_authors><pubmed_authors>Bruno G</pubmed_authors><pubmed_authors>Mata S</pubmed_authors><pubmed_authors>Messina S</pubmed_authors><pubmed_authors>Grandis M</pubmed_authors><pubmed_authors>Melani F</pubmed_authors><pubmed_authors>Rubegni A</pubmed_authors><pubmed_authors>Pennisi EM</pubmed_authors><pubmed_authors>Sciacco M</pubmed_authors><pubmed_authors>Doccini S</pubmed_authors><pubmed_authors>Fiorillo C</pubmed_authors><pubmed_authors>Massa R</pubmed_authors><pubmed_authors>Volpi N</pubmed_authors><pubmed_authors>Ricci G</pubmed_authors><pubmed_authors>Lopergolo D</pubmed_authors><pubmed_authors>Magri F</pubmed_authors><pubmed_authors>Berardinelli A</pubmed_authors><pubmed_authors>Sacchini M</pubmed_authors><pubmed_authors>Cassandrini D</pubmed_authors><pubmed_authors>Baldacci J</pubmed_authors><pubmed_authors>Comi GP</pubmed_authors><pubmed_authors>Pegoraro E</pubmed_authors><pubmed_authors>Tonin P</pubmed_authors><pubmed_authors>Dosi C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Using Cluster Analysis to Overcome the Limits of Traditional Phenotype-Genotype Correlations: The Example of &lt;i>RYR1&lt;/i>-Related Myopathies.</name><description>Thanks to advances in gene sequencing, &lt;i>RYR1&lt;/i>-related myopathy (RYR1-RM) is now known to manifest itself in vastly heterogeneous forms, whose clinical interpretation is, therefore, highly challenging. We set out to develop a novel unsupervised cluster analysis method in a large patient population. The objective was to analyze the main &lt;i>RYR1&lt;/i>-related characteristics to identify distinctive features of RYR1-RM and, thus, offer more precise genotype-phenotype correlations in a group of potentially life-threatening disorders. We studied 600 patients presenting with a suspicion of inherited myopathy, who were investigated using next-generation sequencing. Among them, 73 index cases harbored variants in &lt;i>RYR1&lt;/i>. In an attempt to group genetic variants and fully exploit information </description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2026-05-16T03:12:28.141Z</modification><creation>2025-02-18T23:44:20.327Z</creation></dates><accession>S-EPMC9956305</accession><cross_references><pubmed>36833224</pubmed><doi>10.3390/genes14020298</doi></cross_references></HashMap>