Grand Challenge Topic: Genomic Medicine The Liver Cancer Genome Project: Translating Genetic Discoveries to Clinical Benefits
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Translating genomics for precision cancer medicine.
The Human Genome Project not only provided the essential reference map for the human genome but also stimulated the development of technology and analytic tools to process massive quantities of genomic data. As a result of this project, new technologies for DNA sequencing have improved in efficiency and cost by more than a millionfold over the past decade, and these technologies can now be rout...
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Schizophrenia is a complex neuropsychiatric disease with documented clinical and genetic heterogeneity, and evidence for neurodevelopmental origins. Driven by new genetic technologies and advances in molecular medicine, there has recently been concrete progress in understanding some of the specific genetic causes of this serious psychiatric illness. In particular, several large rare structural ...
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MOTIVATION Widespread availability of low-cost, full genome sequencing will introduce new challenges for bioinformatics. RESULTS This review outlines recent developments in sequencing technologies and genome analysis methods for application in personalized medicine. New methods are needed in four areas to realize the potential of personalized medicine: (i) processing large-scale robust genomi...
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In this review, we discuss some of the most recent developments in genomics research and their relevance to the field of pediatrics. In particular, we examine 3 major approaches that are being used to identify genetic correlates of disease: genome-wide association studies, copy number variation studies, and next-generation sequencing. In the past few years, these approaches have yielded major i...
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Since the start of the Human Genome Project 25 years ago, basic discoveries related to genomics and other “-omic” fields have continued to advance exponentially. This progress has facilitated the 2015 launch of the US Precision Medicine Initiative (PMI). The PMI is intended to merge genomic, biological, behavioral, environmental, and other data on individuals to identify drivers of health that ...
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