Integrating human and rodent data to identify the genetic factors involved in chronic kidney disease
- PMID: 20133484
- PMCID: PMC4473253
- DOI: 10.1681/ASN.2009080881
Integrating human and rodent data to identify the genetic factors involved in chronic kidney disease
Abstract
The increasing numbers of patients with chronic kidney disease combined with no satisfying interventions for preventing or curing the disease emphasize the need to better understand the genes involved in the initiation and progression of complex renal diseases, their interactions with other host genes, and the environment. Linkage and association studies in human, rat, and mouse have been successful in identifying genetic loci for various disease-related phenotypes but have thus far not been very successful identifying underlying genes. The purpose of this review is to summarize the progress in human, rat, and mouse genetic studies to show the concordance between the loci among the different species. The collective utilization of human and nonhuman mammalian datasets and resources can lead to a more rapid narrowing of disease loci and the subsequent identification of candidate genes. In addition, genes identified through these methods can be further characterized and investigated for interactions using animal models, which is not possible in humans.
Figures




Similar articles
-
A systems view of genetics in chronic kidney disease.Kidney Int. 2012 Jan;81(1):14-21. doi: 10.1038/ki.2011.359. Epub 2011 Oct 19. Kidney Int. 2012. PMID: 22012128 Free PMC article. Review.
-
Genetic epidemiology in kidney disease.Nephrol Dial Transplant. 2017 Apr 1;32(suppl_2):ii159-ii169. doi: 10.1093/ndt/gfw270. Nephrol Dial Transplant. 2017. PMID: 28201750 Free PMC article. Review.
-
Genome-wide association studies in pediatric chronic kidney disease.Pediatr Nephrol. 2016 Aug;31(8):1241-52. doi: 10.1007/s00467-015-3235-y. Epub 2015 Oct 21. Pediatr Nephrol. 2016. PMID: 26490952 Free PMC article. Review.
-
Unraveling the genetics of chronic kidney disease using animal models.Am J Physiol Renal Physiol. 2004 Sep;287(3):F347-52. doi: 10.1152/ajprenal.00159.2004. Am J Physiol Renal Physiol. 2004. PMID: 15297276 Review.
-
Combination of mouse models and genomewide association studies highlights novel genes associated with human kidney function.Kidney Int. 2016 Oct;90(4):764-73. doi: 10.1016/j.kint.2016.04.004. Epub 2016 Jun 3. Kidney Int. 2016. PMID: 27263491
Cited by
-
Genetic analysis of albuminuria in collaborative cross and multiple mouse intercross populations.Am J Physiol Renal Physiol. 2012 Oct;303(7):F972-81. doi: 10.1152/ajprenal.00690.2011. Epub 2012 Aug 1. Am J Physiol Renal Physiol. 2012. PMID: 22859403 Free PMC article.
-
Increased Expression of Rififylin in A < 330 Kb Congenic Strain is Linked to Impaired Endosomal Recycling in Proximal Tubules.Front Genet. 2012 Aug 8;3:138. doi: 10.3389/fgene.2012.00138. eCollection 2012. Front Genet. 2012. PMID: 22891072 Free PMC article.
-
Mice as a mammalian model for research on the genetics of aging.ILAR J. 2011;52(1):4-15. doi: 10.1093/ilar.52.1.4. ILAR J. 2011. PMID: 21411853 Free PMC article. Review.
-
Single-nucleotide polymorphisms of the dopamine D2 receptor increase inflammation and fibrosis in human renal proximal tubule cells.Hypertension. 2014 Mar;63(3):e74-80. doi: 10.1161/HYPERTENSIONAHA.113.02569. Epub 2013 Dec 30. Hypertension. 2014. PMID: 24379187 Free PMC article.
-
Genetic architecture of human fibrotic diseases: disease risk and disease progression.Front Pharmacol. 2013 Dec 18;4:159. doi: 10.3389/fphar.2013.00159. Front Pharmacol. 2013. PMID: 24391588 Free PMC article. Review.
References
-
- Coresh J, Selvin E, Stevens LA, Manzi J, Kusek JW, Eggers P, Van Lente F, Levey AS: Prevalence of chronic kidney disease in the United States. JAMA 298: 2038–2047, 2007 - PubMed
-
- USRDS: United States Renal Data System 2003 Annual Data Report. In: Atlas of End-Stage Renal Disease in the United States. Bethesda, National Institute of Diabetes and Digestive and Kidney Diseases, 2005 - PubMed
-
- Seaquist ER, Goetz FC, Rich S, Barbosa J: Familial clustering of diabetic kidney disease. Evidence for genetic susceptibility to diabetic nephropathy. N Engl J Med 320: 1161–1165, 1989 - PubMed
-
- Ferguson R, Grim CE, Opgenorth TJ: A familial risk of chronic renal failure among blacks on dialysis? J Clin Epidemiol 41: 1189–1196, 1988 - PubMed
-
- Freedman BI, Spray BJ, Tuttle AB, Buckalew VM, Jr: The familial risk of end-stage renal disease in African Americans. Am J Kidney Dis 21: 387–393, 1993 - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical