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| TABLE OF CONTENTS | |||||||||||||||||||||||||||||||||||||||||||||||
| June 2013 Volume 14 Number 6 | Advertisement | ||||||||||||||||||||||||||||||||||||||||||||||
| In this issue
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| ETHICS WATCH | Top | ||||||||||||||||||||||||||||||||||||||||||||||
| Rare diseases and now rare data? Deborah Mascalzoni, Bartha Maria Knoppers, Ségolène Aymé, Matteo Macilotti, Hugh Dawkins, Simon Woods & Mats G. Hansson p372 | doi:10.1038/nrg3494 Rare disease research is threatened by proposed changes to European privacy laws. Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
| PROGRESS | Top | ||||||||||||||||||||||||||||||||||||||||||||||
Therapy for Duchenne muscular dystrophy: renewed optimism from genetic approaches Rebecca J. Fairclough, Matthew J. Wood & Kay E. Davies p373 | doi:10.1038/nrg3460 Several promising genetic approaches are being investigated for the treatment of Duchenne muscular dystrophy, including traditional gene therapy, stop codon read-through, exon skipping and increased expression of a compensatory gene. The lessons learned should also be valuable for other disorders. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
| REVIEWS | Top | ||||||||||||||||||||||||||||||||||||||||||||||
Meta-analysis methods for genome-wide association studies and beyond Evangelos Evangelou & John P. A. Ioannidis p379 | doi:10.1038/nrg3472 The authors review statistical methods for meta-analysis of genome-wide association studies (GWASs) and extensions of these methods to complex data. They discuss how low-frequency variants can be incorporated into meta-analyses as next-generation sequencing data become more commonly used in GWASs. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
| Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data Job Dekker, Marc A. Marti-Renom & Leonid A. Mirny p390 | doi:10.1038/nrg3454 The three-dimensional organization of genomes can now be explored at increased resolution using approaches based on 3C technology. This Review discusses how these chromatin interaction data sets can be interpreted using statistical approaches and computational modelling, and considers the levels of organization that are revealed. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
| Understanding the origin of species with genome-scale data: modelling gene flow Vitor Sousa & Jody Hey p404 | doi:10.1038/nrg3446 Genome-wide data hold the key to answering long-standing questions about the mechanisms of speciation, including the role of gene flow. Here, the authors discuss recently developed methods to analyse genome-wide data and consider emerging results from their recent application. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
Molecular genetic testing and the future of clinical genomics Sara Huston Katsanis & Nicholas Katsanis p415 | doi:10.1038/nrg3493 The authors review current technologies for clinical genetic testing. Moves are being made towards whole-genome and whole-exome sequencing in the clinic, although other technologies will continue to be of value. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
| Mechanisms and models of somatic cell reprogramming Yosef Buganim, Dina A. Faddah & Rudolf Jaenisch p427 | doi:10.1038/nrg3473 Our understanding of the molecular steps that occur during reprogramming somatic cells to induced pluripotent stem cells has recently been improved through analyses of cell populations and single cells. Here the authors consider the phases of reprogramming, models for describing the process and the roles of reprogramming factors. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
| Erratum: From neural development to cognition: unexpected roles for chromatin Jehnna L. Ronan, Wei Wu & Gerald R. Crabtree p440 | doi:10.1038/nrg3508 Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
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| *2011 Journal Citation Report (Thomson Reuters, 2012) |
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