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An integrated genetic analysis of disease

Nature Reviews Nephrology volume 14, pages 287288 (2018) | Download Citation

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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Acknowledgements

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

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Affiliations

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

    • David L. Mattson

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  1. Search for David L. Mattson in:

Competing interests

The author declares no competing financial interests.

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Correspondence to David L. Mattson.

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DOI

https://doi.org/10.1038/nrneph.2018.26

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