Characterizing and interpreting genetic variation from personal genome sequencing.
Since the completion of the human genome project, there has been enormous progress in the development of novel technologies for DNA sequencing. The advent of next-generation sequencing technologies now makes it possible to sequence an entire human genome in one or a few experiments. As a consequence, several individual human genomes have now been fully sequenced, using different experimental strategies. Although the protocols differ between the various sequencing technologies, the challenges of analyzing the data, calling variation, and interpreting the results are similar for all platforms. Here, we give an overview of the human genome sequencing projects completed to date. The strategies for aligning sequence reads and extracting information about different types of genetic variation from the sequence data are discussed. Identification of structural variation, such as copy number variation and insertion-deletion variants, can be complex, and there are a plethora of algorithms and analysis tools available. We also give an overview of the challenge of interpreting the whole-genome sequence data both from a technical and clinical perspective.
Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
Anna C V
AC
Johansson
Lars
L
Feuk
D000465:Algorithms; D056905:Chromosome Breakpoints; D002874:Chromosome Mapping; D056915:DNA Copy Number Variations; D015894:Genome, Human; D023281:Genomics / Q000379:methods*; D016045:Human Genome Project; D006801:Humans; D009369:Neoplasms / Q000235:genetics; D020641:Polymorphism, Single Nucleotide; D015203:Reproducibility of Results; D016415:Sequence Alignment; D017422:Sequence Analysis, DNA / Q000379:methods*