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Volume 46 Issue 2, February 2014

Editorial

  • The price of DNA sequencing has never been lower. However, there is little consensus as to when the identification of a genetic variant is clinically useful. Clinical geneticists carrying out systematic community reviews of evidence for the pathogenicity of variants collected in locus-specific and disease-specific databases are beginning to bridge the gap between research evidence and rules used to make clinical decisions.

    Editorial

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News & Views

  • A new study shows that HOXB13 is preferentially recruited to the risk allele of a prostate cancer–associated SNP, enhancing the expression of RFX6, a driver of prostate cancer cell migration and predictor of disease progression. The work illustrates how a single risk locus contributes both to prostate cancer incidence and, through functional follow-up, to disease progression.

    • Ian G Mills
    News & Views
  • Although dozens of common variants have been associated with increased risk of type 2 diabetes (T2D), the mechanisms by which these variants increase disease susceptibility are largely unknown. A new study mapping the human pancreatic islet cistrome provides a roadmap for exploring the effects of these variants and suggests that altered enhancer function might be a common contributor to the genetic risk of T2D.

    • Dana Avrahami
    • Klaus H Kaestner
    News & Views
  • Genomic aberrations affecting genes in B cell differentiation are hallmarks of B-precursor acute lymphoblastic leukemia (ALL). A new whole-genome sequencing study of ETV6-RUNX1–positive ALL has now identified RAG-mediated recombination, which specifically targets genes and regulatory elements active during B cell differentiation, as the underlying mechanism.

    • Roland P Kuiper
    • Esmé Waanders
    News & Views
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Research Highlights

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Perspective

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Analysis

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Article

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Letter

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Technical Report

  • Gonçalo Abecasis, Dajiang Liu and colleagues report a meta-analysis framework to identify rare variant associations based on gene-level tests and the use of shared summary statistics provided by individual studies. They demonstrate their approach on a meta-analysis of blood lipid levels including 18,699 individuals, drawn from across 7 studies and genotyped with exome arrays.

    • Dajiang J Liu
    • Gina M Peloso
    • Gonçalo R Abecasis
    Technical Report
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