From GWAS to functional genomics-based precision medicine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nephrology
Link
http://www.nature.com/articles/nrneph.2017.21.pdf
Reference10 articles.
1. Lim, S. S. et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2224–2260 (2012).
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3. Kearney, P. M. et al. Global burden of hypertension: analysis of worldwide data. Lancet 365, 217–223 (2005).
4. Liu, C. et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat. Genet. 48, 1162–1170 (2016).
5. Surendran, P. et al. Trans-ancestry meta-analysis identify rare and common variants associated with blood pressure and hypertension. Nat. Genet. 48, 1151–1161 (2016).
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