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Gorski, M.* et al.: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci. Rep. 7:45040 (2017)
Malik, R.* et al.: Common coding variant in SERPINA1 increases the risk for large artery stroke. Proc. Natl. Acad. Sci. U.S.A. 114, 3613-3618 (2017)
Wain, L.V.* et al.: Novel blood pressure locus and gene discovery using genome-wide association study and expression data sets from blood and the kidney. Hypertension 70, e4-e19 (2017)
Pattaro, C.* et al.: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat. Commun. 7:10023 (2016)
Köttgen, A.* et al.: Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat. Genet. 45, 145-154 (2013)
Minelli, C.* et al.: Importance of different types of prior knowledge in selecting genome-wide findings for follow-up. Genet. Epidemiol. 37, 205-213 (2013)
Sim, X.* et al.: Genetic loci for retinal arteriolar microcirculation. PLoS ONE 8:e65804 (2013)
Stambolian, D.* et al.: Meta-analysis of genome-wide association studies in five cohorts reveals common variants in RBFOX1, a regulator of tissue-specific splicing, associated with refractive error. Hum. Mol. Genet. 22, 2754-2764 (2013)
Thompson, J.R.* et al.: SNP prioritization using a Bayesian probability of association. Genet. Epidemiol. 37, 214-221 (2013)
Ikram, M.K.* et al.: Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo. PLoS Genet. 6:e1001184 (2010)