The copy number variation landscape of congenital anomalies of the kidney and urinary tract
- PMID: 30578417
- PMCID: PMC6668343
- DOI: 10.1038/s41588-018-0281-y
The copy number variation landscape of congenital anomalies of the kidney and urinary tract
Erratum in
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Author Correction: The copy number variation landscape of congenital anomalies of the kidney and urinary tract.Nat Genet. 2019 Apr;51(4):764. doi: 10.1038/s41588-019-0376-0. Nat Genet. 2019. PMID: 30816350
Abstract
Congenital anomalies of the kidney and urinary tract (CAKUT) are a major cause of pediatric kidney failure. We performed a genome-wide analysis of copy number variants (CNVs) in 2,824 cases and 21,498 controls. Affected individuals carried a significant burden of rare exonic (that is, affecting coding regions) CNVs and were enriched for known genomic disorders (GD). Kidney anomaly (KA) cases were most enriched for exonic CNVs, encompassing GD-CNVs and novel deletions; obstructive uropathy (OU) had a lower CNV burden and an intermediate prevalence of GD-CNVs; and vesicoureteral reflux (VUR) had the fewest GD-CNVs but was enriched for novel exonic CNVs, particularly duplications. Six loci (1q21, 4p16.1-p16.3, 16p11.2, 16p13.11, 17q12 and 22q11.2) accounted for 65% of patients with GD-CNVs. Deletions at 17q12, 4p16.1-p16.3 and 22q11.2 were specific for KA; the 16p11.2 locus showed extensive pleiotropy. Using a multidisciplinary approach, we identified TBX6 as a driver for the CAKUT subphenotypes in the 16p11.2 microdeletion syndrome.
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Comment in
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CNVs in CAKUT.Nat Rev Nephrol. 2019 Apr;15(4):192. doi: 10.1038/s41581-019-0115-x. Nat Rev Nephrol. 2019. PMID: 30664682 No abstract available.
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The genomic landscape of CAKUT; you gain some, you lose some.Kidney Int. 2019 Aug;96(2):267-269. doi: 10.1016/j.kint.2019.03.017. Kidney Int. 2019. PMID: 31331462 No abstract available.
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METHODS ONLY REFERENCES
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- Price AL et al. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 38, 904–9 (2006). - PubMed
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- Fasel D, Verbitsky M & Sanna-Cherchi S CNVkit – Software Tools for Analyzing Genomic Structural Variants. J Am Soc Nephrol 26(2015).
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- Wickham H ggplot2: Elegant Graphics for Data Analysis, 213 (Springer-Verlag, 2009).
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