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| August 2012 Volume 13 Number 8 | Advertisement | ||||||||||||||||||||||||||||||||||||
| In this issue
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| REVIEWS | Top | ||||||||||||||||||||||||||||||||||||
| Computational tools for prioritizing candidate genes: boosting disease gene discovery Yves Moreau & Léon-Charles Tranchevent p523 | doi:10.1038/nrg3253 Various studies (such as genetic linkage or 'omics'-based approaches) generate large lists of candidate genes, of which only a minority may be biologically relevant for a phenotype or disease of interest. This Review discusses computational tools for gene prioritization, emphasizing key considerations for how biologists can incorporate these tools into their research, and it includes hands-on tutorials. Abstract | Full Text | PDF | Supplementary information | |||||||||||||||||||||||||||||||||||||
Genetic architectures of psychiatric disorders: the emerging picture and its implications Patrick F. Sullivan, Mark J. Daly & Michael O'Donovan p537 | doi:10.1038/nrg3240 This Review considers recent findings — from genome-wide association studies, structural variant studies and exome sequencing — about the genetics of nine psychiatric disorders. The authors evaluate the implications of our current picture of the genetic architectures of these conditions for future research strategies. Abstract | Full Text | PDF | Supplementary information | |||||||||||||||||||||||||||||||||||||
Studying and modelling dynamic biological processes using time-series gene expression data Ziv Bar-Joseph, Anthony Gitter & Itamar Simon p552 | doi:10.1038/nrg3244 Biological processes are inherently dynamic and therefore capturing data about gene expression at multiple time points can provide valuable insights into biological systems. This Review discusses experimental and analytical considerations for studies of gene expression dynamics, and the possibilities for integration with other data sets. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
De novo mutations in human genetic disease Joris A. Veltman & Han G. Brunner p565 | doi:10.1038/nrg3241 Recent family-based genomic studies are providing a window into the incidence of new mutations in human genomes. This Review discusses our understanding of various types of de novo mutation, including the determinants and consequences of their occurrence rates, and the challenges both for their detection and for linking them to disease pathogenesis. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
Genetics of osteoporosis from genome-wide association studies: advances and challenges J. Brent Richards, Hou-Feng Zheng & Tim D. Spector p576 | doi:10.1038/nrg3228 Genome-wide association studies have recently furthered the understanding of the genetics of osteoporosis. The authors here present the major findings from these studies, the pathways that have been highlighted in the progress of the disease and strategies for future diagnosis and therapy development. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
| PERSPECTIVES | Top | ||||||||||||||||||||||||||||||||||||
| VIEWPOINT The place of genetics in ageing research Nir Barzilai, Leonard Guarente, Thomas B. L. Kirkwood, Linda Partridge, Thomas A. Rando & P. Eline Slagboom p589 | doi:10.1038/nrg3290 Is ageing in our genes? In this Viewpoint, six experts present their views on the extent to which ageing is genetic and discuss future strategies for research into ageing and longevity. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
| Erratum: Transcriptome-wide N 6-methyladenosine analysis Hannah Stower p594 | doi:10.1038/nrg3292 Full Text | PDF | |||||||||||||||||||||||||||||||||||||
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| *2011 Journal Citation Report (Thomson Reuters, 2012) |
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