In this pilot study, we will do a systems genetics approach to power a genome wide association study (GWAS) to reveal loci associated with increased bacterial susceptibility. Vesicoureteric reflux (VUR) is estimated to effect 10% of children and predisposes them to urinary tract infections (UTI) with 40-70% of these children having an associated UTI. We hypothesize that we will be able to identify new loci underlying VUR and UTI susceptibility by categorizing and quantifying UTI with a novel bacterial imaging technique and subsequently GWAS. This will be possible utilizing the Hybrid Mouse Diversity Panel (HDMP) which is comprised of a wide range of genetic backgrounds. A similar approach was successful at identifying a locus potentially involved in VUR with a small set of animal and using the VUR phenotype to drive the analysis. However, we propose to use UTI, the highly associated disease of VUR, as the phenotype to identify the genetic pathways that predispose to VUR essentially dividing groups on natural ability to resist a urinary tract infection.
In AIM1 we will categorize 50 fully sequenced mouse strains susceptible to pyelonephritis, the most severe form of UTI. The susceptible mice will be then tested for VUR.
In AIM2, we will perform GWAS using the EMMA algorithm, using the categorical and quantitative phenotypes for VUR and UTI to identify candidate loci.

Public Health Relevance

40-70% of children with a UTI have VUR. Identifying the genetic pathways of the associated disease of VUR will help locate genes that are rarely separable in such a complex condition. The ultimate goal is to be able to identify susceptibility to VUR and UTI for personalized treatment.

National Institute of Health (NIH)
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Specialized Center--Cooperative Agreements (U54)
Project #
Application #
Study Section
Special Emphasis Panel (ZDK1-GRB-7 (O2))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Columbia University (N.Y.)
New York
United States
Zip Code
Wang, Xueqiao; Zheng, Xiaoqing; Zhang, Juanlian et al. (2018) Physiological functions of ferroportin in the regulation of renal iron recycling and ischemic acute kidney injury. Am J Physiol Renal Physiol 315:F1042-F1057
Sanna-Cherchi, Simone; Westland, Rik; Ghiggeri, Gian Marco et al. (2018) Genetic basis of human congenital anomalies of the kidney and urinary tract. J Clin Invest 128:4-15
Joseph, Diya B; Chandrashekar, Anoop S; Abler, Lisa L et al. (2018) In vivo replacement of damaged bladder urothelium by Wolffian duct epithelial cells. Proc Natl Acad Sci U S A 115:8394-8399
Kiryluk, Krzysztof; Bomback, Andrew S; Cheng, Yim-Ling et al. (2018) Precision Medicine for Acute Kidney Injury (AKI): Redefining AKI by Agnostic Kidney Tissue Interrogation and Genetics. Semin Nephrol 38:40-51
Park, Jihwan; Shrestha, Rojesh; Qiu, Chengxiang et al. (2018) Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease. Science 360:758-763
Sanna-Cherchi, Simone; Khan, Kamal; Westland, Rik et al. (2017) Exome-wide Association Study Identifies GREB1L Mutations in Congenital Kidney Malformations. Am J Hum Genet 101:789-802
Costanzo, Maria Rosa; Ronco, Claudio; Abraham, William T et al. (2017) Extracorporeal Ultrafiltration for FluidĀ Overload in Heart Failure: Current Status and Prospects for Further Research. J Am Coll Cardiol 69:2428-2445
Lopez-Rivera, Esther; Liu, Yangfan P; Verbitsky, Miguel et al. (2017) Genetic Drivers of Kidney Defects in the DiGeorge Syndrome. N Engl J Med 376:742-754
Verbitsky, Miguel; Kogon, Amy J; Matheson, Matthew et al. (2017) Genomic Disorders and Neurocognitive Impairment in Pediatric CKD. J Am Soc Nephrol 28:2303-2309
Werth, Max; Schmidt-Ott, Kai M; Leete, Thomas et al. (2017) Transcription factor TFCP2L1 patterns cells in the mouse kidney collecting ducts. Elife 6:

Showing the most recent 10 out of 14 publications