Medicine in the post-genomic era
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Genome Medicine publishes peer-reviewed research articles, new methods, software tools, reviews and comment articles in all areas of medicine studied from a post-genomic perspective. Areas covered include, but are not limited to, disease genomics (including genome-wide association studies and sequencing-based studies), disease epigenomics, pathogen and microbiome genomics, immunogenomics, translational genomics, pharmacogenomics and personalized medicine, proteomics and metabolomics in medicine, systems medicine, and ethical, legal and social issues.
**Data from May 2014.
- Rebecca Furlong, PhD, Genome Medicine
- Louisa Flintoft, PhD, Genome Medicine
The NIH requires investigators to submit de-identified genomic data to dbGaP. This study explores the feasibility of re-contact and finds a small proportion of participants oppose submitting data.
Barbara Bernhardt explains how advances in clinical genomics are changing the role of genetic counselors by necessitating the communication of increasing amounts of complex information.
Matthew Farrer and Michelle Lin review advances in genetic and genomic studies of sporadic, Mendelian and more complex forms of parkinsonism, implicating the involvement of specific molecular pathways.
Michael F. Murray discusses the increasingly urgent need to improve genomics education for physicians and some exciting new projects that are aimed at meeting this need.
A blood-based DNA methylation signature derived from BRCA1 carriers is able to predict non-hereditary breast cancer risk and death years in advance of diagnosis.
A computational tool to predict driver genes and classify them as tumor suppressors or oncogenes. It is able to analyse mutation profiling data from any tumor type and uses somatic mutation data.
Trudy Mackay and Jason Moore argue that epistasis has been wrongly ignored in the quest to understand and predict complex human disease and explore how this situation can be changed.
In this Comment, Christoph Bock argues that cancer epigenomics and genomics projects should work more closely together, and he advocates the creation of an International Cancer Epigenome Consortium.
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