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An integrated genetic analysis of disease

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A genome-wide association study (GWAS) of quantitative traits that incorporated data from GWAS of complex diseases provides clues regarding the relationships between genetic loci, intermediate phenotypes and diseases. Together, the data demonstrate pleiotropy, genetic correlation and cell-type specificity of quantitative traits as predictors of multiple complex diseases.

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Figure 1: Relationships between genetic variants, quantitative traits and diseases.

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Acknowledgements

D.L.M. is supported by NIH Grants DK96859 and HL116264 and the American Heart Association (AHA) 15SFRN2391002.

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Authors and Affiliations

  1. Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA

    David L. Mattson

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  1. David L. Mattson
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Correspondence to David L. Mattson.

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The author declares no competing financial interests.

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Mattson, D. An integrated genetic analysis of disease. Nat Rev Nephrol 14, 287–288 (2018). https://doi.org/10.1038/nrneph.2018.26

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