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Volume 48 Issue 4, April 2016

Editorial

  • The FAIR data principles are simple guidelines for ensuring that machines can find and use data, supporting data reuse by individuals. More—and better—research can be generated by designing data and algorithms to be findable, accessible, interoperable and reusable, together with the tools and workflows that led to these data.

    Editorial

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News & Views

  • Teleosts have emerged as important model organisms, yet their ancestrally duplicated genomes sometimes complicate developmental genetic analyses and comparisons to humans. A new genome sequence of spotted gar, a fish related to teleosts but lacking a duplicated genome, now helps to bridge human and teleost biology.

    • David M Parichy
    News & Views
  • A new study compares DNA methylation profiles in developing zebrafish, Xenopus tropicalis and mice and suggests roles for Tet proteins in demethylating conserved gene enhancers during the phylotypic period of early development. These findings provide an epigenetic underpinning for the 'hourglass' model.

    • Peter G Hendrickson
    • Bradley R Cairns
    News & Views
  • Polymorphism of haptoglobin in human serum was first discovered over 60 years ago. A new paper characterizes the complex structural variation at the HP locus in detail and, by using imputation from flanking SNP genotype data, shows that it affects blood cholesterol levels.

    • Edward J Hollox
    • Louise V Wain
    News & Views
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Analysis

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Brief Communication

  • David Solit and colleagues report that inactivating CDH1 mutations are found in 84% of plasmacytoid bladder cancer samples tested and are not found in other bladder cancer subtypes. CRISPR/Cas9-mediated knockout of CDH1 in cell lines leads to enhanced cellular migration.

    • Hikmat A Al-Ahmadie
    • Gopa Iyer
    • David B Solit
    Brief Communication
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Article

  • Jun Yang and colleagues perform targeted sequencing of NUDT15 and identify loss-of-function variants associated with thiopurine intolerance. Functionally, they show that NUDT15 inactivates thiopurine metabolites, providing a mechanism to explain the association between NUDT15 loss-of-function variants and thiopurine toxicity.

    • Takaya Moriyama
    • Rina Nishii
    • Jun J Yang
    Article
  • Thomas Whitington and colleagues present a detailed characterization of gene regulatory mechanisms underlying prostate cancer susceptibility. Their analysis highlights key mechanisms altered by disease-associated SNPs, including widespread disruption of ternary complexes involving AR, FOXA1 and HOXB13.

    • Thomas Whitington
    • Ping Gao
    • Fredrik Wiklund
    Article
  • Ozren Bogdanović, Ryan Lister, José Luis Gómez-Skarmeta, Michiel Vermeulen and colleagues report widespread DNA demethylation at developmental enhancers during the phylotypic period in zebrafish, Xenopus and mouse embryos. Their findings suggest a conserved role for Tet proteins and active DNA demethylation in the regulation of phylotypic enhancers.

    • Ozren Bogdanović
    • Arne H Smits
    • Ryan Lister
    Article
  • Ingo Braasch, John Postlethwait and colleagues report the genome of the spotted gar (Lepisosteus oculatus), whose lineage diverged from teleosts before genome duplication. Their data provide insights into the evolution of genes involved in immunity, mineralization and development and facilitate the comparison of cis-regulatory elements between teleosts and humans.

    • Ingo Braasch
    • Andrew R Gehrke
    • John H Postlethwait
    Article Open Access
  • Bin Han and colleagues present a genome-wide association analysis of grain size and shape in cultivated rice and identify a major locus for grain size encoding the transcription factor OsSPL13. They find that the large-grain allele in tropical japonica cultivars was introgressed from indica varieties during selection for improved grain yield.

    • Lizhen Si
    • Jiaying Chen
    • Bin Han
    Article
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Letter

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Technical Report

  • Andy Dahl and colleagues present a method for imputing missing phenotype data in genetic studies with multiple correlated phenotypes where samples can have any level of relatedness. They apply their method to simulated and real data sets and show that it improves the sensitivity to detect association signals.

    • Andrew Dahl
    • Valentina Iotchkova
    • Jonathan Marchini
    Technical Report
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Erratum

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Corrigendum

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