Format numbers in home page

client/pages/index.vue

@@ -7,8 +7,8 @@
         <v-card-text class="main-intro">
           The JASS web interface efficiently compute multi-trait genome-wide association study (GWAS) and enable user to interactively explore results.
           Multi-trait GWAS can increase statistical power by leveraging pleiotropy, but also can deepen our understanding of SNPs functional effect (for a detailed explanation see the citation box below).
-          Currently this website host a total of <b>{{ getTotalPhenotypes }}</b> phenotypes available from <b>{{ getTotalTables }}</b> ancestries for analysis with the Omnibus test.
-          All GWAS have been pre-processed using the <a href="https://gitlab.pasteur.fr/statistical-genetics/jass_suite_pipeline">JASS pre-processing pipeline</a> and imputation of missing statistics has been conducted using the <a href="https://gitlab.pasteur.fr/statistical-genetics/raiss">RAISS software</a>, resulting in a total of <b>{{ getTotalSNP }}</b> SNPs available for analysis.
+          Currently this website host a total of <b>{{ getTotalPhenotypes.toLocaleString() }}</b> phenotypes available from <b>{{ getTotalTables.toLocaleString() }}</b> ancestries for analysis with the Omnibus test.
+          All GWAS have been pre-processed using the <a href="https://gitlab.pasteur.fr/statistical-genetics/jass_suite_pipeline">JASS pre-processing pipeline</a> and imputation of missing statistics has been conducted using the <a href="https://gitlab.pasteur.fr/statistical-genetics/raiss">RAISS software</a>, resulting in a total of <b>{{ getTotalSNP.toLocaleString() }}</b> SNPs available for analysis.
           To analyze data in your own facility and/or access supplementary joint analysis tests, please download and install the <a href="https://statistical-genetics.pages.pasteur.fr/jass/">JASS python package.</a>
         </v-card-text>
       </v-col>