title: Clinical Interpretation of Genomic Variations.
abstract: Novel high-throughput sequencing technologies generate large-scale genomic data and are used extensively for disease mapping of monogenic and/or complex disorders, personalized treatment, and pharmacogenomics. Next-generation sequencing is rapidly becoming routine tool for diagnosis and molecular monitoring of patients to evaluate therapeutic efficiency. The next-generation sequencing platforms generate huge amounts of genetic variation data and it remains a challenge to interpret the variations that are identified. Such data interpretation needs close collaboration among bioinformaticians, clinicians, and geneticists. There are several problems that must be addressed, such as the generation of new algorithms for mapping and annotation, harmonization of the terminology, correct use of nomenclature, reference genomes for different populations, rare disease variant databases, and clinical reports.
authors: İstanbul University Faculty of Medicine, Institute of Experimental Medicine, Department of Genetics, İstanbul, Turkey Phone: +90 212 414 22 00-33312, E-mail: mugeay@istanbul.edu.tr.
authors: Müge
authors: M
authors: Sayitoğlu
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D014644:Genetic Variation / Q000235:genetics*; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans