Our goal is to initiate the\u00a0cross-talk between clinicians, geneticists and basic scientists, thereby creating teams focused on understanding the phenotype\/genotype relationships. Thus a\u00a0broad range of\u00a0resources is required to advance the scientific knowledge.<\/p>\n
Here is a list of additional resources that could be explored or support your studies to make exciting breakthroughs that can directly impact patient care<\/p>\n
PrediXcan<\/span><\/strong><\/p>\n A\u00a0gene-based association method\u00a0 that directly tests the molecular mechanisms through which genetic variation affects phenotype. PredixVU can detect known and new genes associated with disease traits and provide insights into the mechanism of these associations.<\/p>\n https:\/\/www.scandb.org\/PXCAN\/index.html<\/a><\/p>\n BioVU<\/span><\/strong><\/p>\n BioVU is Vanderbilt\u2019s collection, or \u201cbank,\u201d of de-identified DNA samples.\u00a0Researchers are using these samples to study the links between genes and disease and between genes and how a patient might respond to a prescribed medication.<\/p>\n https:\/\/victr.vumc.org\/what-is-biovu\/<\/a><\/p>\n ClinVar<\/span><\/strong><\/p>\n ClinVar\u00a0provides a freely available archive of reports of relationships among medically important variants and phenotypes. ClinVar now accepts direct submissions with rich, structured details of phenotype, interpretation of functional and clinical significance, methodology used to capture variant calls and supporting evidence.\u00a0ClinVar thus provides all users access to a broader set of clinical interpretations than they may have collected on their own and the promise of a comprehensive site for obtaining current and historical data. ClinVar is available to individual users and organizations that want to incorporate the data into local applications and workflows.<\/p>\n http:\/\/www.ncbi.nlm.nih.gov\/clinvar\/<\/a><\/p>\n Other online servers to predict mutant phenotypes<\/strong><\/span><\/p>\n https:\/\/www.gtexportal.org\/home\/<\/a><\/p>\n https:\/\/www.ncbi.nlm.nih.gov\/clinvar\/<\/a><\/p>\n https:\/\/www.uniprot.org\/<\/a><\/p>\n https:\/\/www.ebi.ac.uk\/gwas\/<\/a><\/p>\n https:\/\/www.internationalgenome.org\/home<\/a><\/p>\n https:\/\/gnomad.broadinstitute.org\/<\/a><\/p>\n https:\/\/www.omim.org\/statistics\/geneMap<\/a><\/p>\n https:\/\/useast.ensembl.org\/info\/docs\/tools\/vep\/index.html<\/a><\/p>\n PDB<\/strong><\/span><\/p>\n Knowing the 3D structure of a biological macromolecule is essential for understanding its role in human health and disease.\u00a0The Protein Data Bank (PDB) was established as the 1st<\/sup>\u00a0open access digital data resource in all of biology and medicine.\u00a0\u00a0RCSB PDB\u00a0helps to enable open access to the accumulating knowledge of 3D structure, function, and evolution of biological macromolecules, expanding the frontiers of fundamental biology, biomedicine, and biotechnology.<\/p>\n https:\/\/www.rcsb.org\/<\/a><\/p>\n Grant funding possibilities<\/strong><\/span><\/p>\n https:\/\/www.vanderbilt.edu\/provost\/internal-funding\/trans-institutional-programs\/<\/a><\/p>\n https:\/\/research.vanderbilt.edu\/researchadministration\/limitedsubmission\/<\/a><\/p>\n