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| November 2011 Volume 12 Number 11 | Advertisement | ||||||||||||||||||||||||||||||||||||
| In this issue
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| From the editors p737 | doi:10.1038/nrg3091 Exploring patterns of mutation across the genome, plus a free Poster on small RNAs. | |||||||||||||||||||||||||||||||||||||
Comment: Connecting the public with biobank research: reciprocity matters Herbert Gottweis, George Gaskell & Johannes Starkbaum p738 | doi:10.1038/nrg3083 Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
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| REVIEWS | Top | ||||||||||||||||||||||||||||||||||||
Exome sequencing as a tool for Mendelian disease gene discovery Michael J. Bamshad, Sarah B. Ng, Abigail W. Bigham, Holly K. Tabor, Mary J. Emond, Deborah A. Nickerson & Jay Shendure p745 | doi:10.1038/nrg3031 Exome sequencing is a powerful approach for accelerating the discovery of the genes underlying Mendelian disorders and, increasingly, of genes underlying complex traits. This Review describes the experimental and analytical options for applying exome sequencing and the key challenges in using this approach. Abstract | Full Text | PDF | Supplementary information | |||||||||||||||||||||||||||||||||||||
| Variation in the mutation rate across mammalian genomes Alan Hodgkinson & Adam Eyre-Walker p756 | doi:10.1038/nrg3098 Large genomic data sets are revealing that mutation rates vary across genomes at many different scales, from the effects caused by neighbouring nucleotides to patterns that affect whole chromosomes. These varying mutation rates have implications for inherited and somatic disease. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
Molecular spandrels: tests of adaptation at the genetic level Rowan D. H. Barrett & Hopi E. Hoekstra p767 | doi:10.1038/nrg3015 Although many studies claim to have detected an adaptive allele, this label is not always applied rigorously. The authors argue that obtaining direct evidence that specific alleles are adaptive requires approaches which functionally connect genotype, phenotype and fitness. Abstract | Full Text | PDF | Supplementary information | |||||||||||||||||||||||||||||||||||||
| Understanding type 1 diabetes through genetics: advances and prospects Constantin Polychronakos & Quan Li p781 | doi:10.1038/nrg3069 Various genetic and functional studies have enhanced the understanding of type 1 diabetes susceptibility genes, including their roles in the underlying immune dysfunction. This Review summarizes the current understanding of type 1 diabetes genetics from the identification of novel susceptibility loci to functional characterization of new and established risk loci. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
| The early bird catches the worm: new technologies for the Caenorhabditis elegans toolkit Xiao Xu & Stuart K. Kim p793 | doi:10.1038/nrg3050 The nematode worm Caenorhabditis elegans has long been a key model organism, not least owing to its powerful genetic toolkit. Recent technological advances — for example, in manipulating gene expression and physiology — further increase the power of the worm as a model. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
| Erratum: Assessing and managing risk when sharing aggregate genetic variant data David W. Craig, Robert M. Goor, Zhenyuan Wang, Justin Paschall, Jim Ostell, Michael Feolo, Stephen T. Sherry & Teri A. Manolio p801 | doi:10.1038/nrg3093 Full Text | PDF | |||||||||||||||||||||||||||||||||||||
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| *2010 Journal Citation Report (Thomson Reuters, 2011) |
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