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.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Visscher, P. M. et al. 10 years of GWAS discovery: biology, function, and translation. Am. J. Hum. Genet. 101, 5–22 (2017).
Kanai, M. et al. Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases. Nat. Genet. 50, 390–400 (2018).
Solovieff, N., Cotsapas, C., Lee, P. H., Purcell, S. M. & Smoller, J. W. Pleiotropy in complex traits: challenges and strategies. Nat. Rev. Genet. 14, 483–495 (2013).
Hirata, M. et al. Cross-sectional analysis of biobank Japan clinical data: a large cohort of 200,000 patients with 47 common diseases. J. Epidemiol. 27, S2–S8 (2017).
Nagai, A. et al. Overview of the biobank Japan project: study design and profile. J. Epidemiol. 27, S9–S21 (2017).
Finucane, H. K. et al. Partitioning heritability by functional annotation using genome-wide association summary statistics. Nat. Genet. 47, 1228–1235 (2015).
Roadmap Epigenomics Consortium et al. Integrative analysis of 111 reference human epigenomes. Nature 518, 317–330 (2015).
Timio, F., Kerry, S. M., Anson, K. M., Eastwood, J. B. & Cappuccio, F. P. Calcium urolithiasis, blood pressure and salt intake. Blood Press. 12, 122–127 (2003).
Kotchen, T. A., Cowley, A. W. Jr. & Liang, M. Ushering hypertension into a new era of precision medicine. JAMA 315, 343–344 (2016).
Acknowledgements
D.L.M. is supported by NIH Grants DK96859 and HL116264 and the American Heart Association (AHA) 15SFRN2391002.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing financial interests.
PowerPoint slides
Rights and permissions
About this article
Cite this article
Mattson, D. An integrated genetic analysis of disease. Nat Rev Nephrol 14, 287–288 (2018). https://doi.org/10.1038/nrneph.2018.26
Published:
Issue Date:
DOI: https://doi.org/10.1038/nrneph.2018.26