Genome Medicine | Volume 3 Issue 9

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	Volume 3 Issue 9
	Comment
	Musings No small matter: qualitatively distinct challenges of pediatric genomic studies Isaac S Kohane Genome Medicine 2011, 3:62 (30 September 2011) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary Isaac Kohane muses on the reasons why pediatric genomic studies form only a small fraction of the genomic studies carried out to date, and the challenges involved in overcoming this.
	Research highlight Targeted next-generation sequencing for routine clinical screening of mutations Jamie MJ Weaver, Paul AW Edwards Genome Medicine 2011, 3:58 (12 September 2011) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary Weaver and Edwards highlight a new single-step targeted sequencing approach to detect mutations in the breast cancer gene BRCA1, towards the development of a novel clinical diagnostic protocol.
	Review
	Review A systems-biology approach to understanding the ciliopathy disorders Ji Eun Lee, Joseph G Gleeson Genome Medicine 2011, 3:59 (26 September 2011) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary Lee and Gleeson provide an overview of the varied diseases caused by defects in ciliary function, the ciliopathies, and the ways in which high-throughput approaches could lead to treatments.
	Review Stem cell approaches for diabetes: towards beta cell replacement Gordon C Weir, Claudia Cavelti-Weder, Susan Bonner-Weir Genome Medicine 2011, 3:61 (27 September 2011) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary Gordon Weir at al. review advances in understanding diabetes at the genomic level, and discuss how stem-cell-based approaches might be used for replacing beta cells and for treating the various forms of diabetes.
	Research
	Method Classification of unknown primary tumors with a data-driven method based on a large microarray reference database Kalle A Ojala, Sami K Kilpinen, Olli P Kallioniemi Genome Medicine 2011, 3:63 (17 October 2011) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary wAGEP is a scalable, adaptable method that can be used to accurately classify cancers of unknown primary origin by aligning microarray profiles against a microarray reference database.
	Correspondence
	Correspondence Developing and implementing an institute-wide data sharing policy Stephanie OM Dyke, Tim JP Hubbard Genome Medicine 2011, 3:60 (28 September 2011) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary Tim Hubbard and Stephanie Dyke from the Wellcome Trust Sanger Institute describe how this leading genomic center devised and implemented its institutional data-sharing policy.