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Volume 42 Issue 7, July 2010

Editorial

  • Analyses of genome-wide association studies (GWAS) show that common SNPs can account for the majority of the heritability of complex traits, but that there are likely to be limits to the usefulness of the current strategy of accumulating common variants of small effect for risk prediction. The ongoing success of GWAS has implications for functional characterization of trait-associated loci.

    Editorial

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Correspondence

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News & Views

  • Sequence conservation of noncoding DNA across species can indicate functional conservation. However, a new study demonstrates notable differences between human and mouse stem cell regulatory networks, suggesting caution in generalizing from sequence to functional conservation.

    • Len A Pennacchio
    • Axel Visel
    News & Views
  • Although susceptibility loci identified through genome-wide association studies (GWAS) typically explain only a small proportion of the heritability, a classical quantitative genetic analysis now argues that considering together all common SNPs can explain a large proportion of the heritability of these complex traits. A related study provides recommendations for the sample sizes needed in future GWAS to identify additional susceptibility loci.

    • Greg Gibson
    News & Views
  • The virulence of Candida albicans, a major human fungal pathogen, has been considered dependent on the ability to transition between different morphologies. A new study reports a screen of C. albicans mutants that demonstrates that pathogenesis can be dissociated from morphological switching and in vitro growth rate.

    • P T Magee
    News & Views
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Research Highlights

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Analysis

  • Peter Visscher and colleagues report an analysis of the heritability explained by common variants identified through genome-wide association studies. They find that 45% of the variance for height can be explained by using a linear model to simultaneously consider the combined effect of common SNPs.

    • Jian Yang
    • Beben Benyamin
    • Peter M Visscher
    Analysis
  • Nilanjan Chatterjee and colleagues report an analysis of the number and effect size distribution of susceptibility variants identified from current genome-wide association studies. They estimate the number of susceptibility loci expected to be discovered by GWAS over a range of sample sizes and compare to recent findings from GWAS for height, Crohn's disease and several cancers.

    • Ju-Hyun Park
    • Sholom Wacholder
    • Nilanjan Chatterjee
    Analysis
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Brief Communication

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Article

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Letter

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