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Alzheimer disease

A quantitative trait approach to GWAS pays dividends

Nature Reviews Neurology volume 13, pages 321–322 (2017)Cite this article

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Genome-wide association studies have provided important insights into the genetic underpinnings of Alzheimer disease (AD), but the relevance of the identified variants to AD pathogenesis is often unclear. A new study uses a powerful quantitative trait approach to identify genetic variants that are associated with biologically meaningful parameters in AD.

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Authors and Affiliations

  1. Liana G. Apostolova is at the Indiana University School of Medicine, Indiana Alzheimer's Disease Center, 355 W 16th Street, Suite 4700, Indianapolis, Indiana 46202, USA.,

    Liana G. Apostolova

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  1. Liana G. Apostolova
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Correspondence to Liana G. Apostolova.

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The author declares no competing financial interests.

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Cite this article

Apostolova, L. A quantitative trait approach to GWAS pays dividends. Nat Rev Neurol 13, 321–322 (2017). https://doi.org/10.1038/nrneurol.2017.61

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