Title |
Whole-exome sequencing in the molecular diagnosis of individuals with congenital anomalies of the kidney and urinary tract and identification of a new causative gene
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Published in |
Genetics in Medicine, September 2016
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DOI | 10.1038/gim.2016.131 |
Pubmed ID | |
Authors |
Mir Reza Bekheirnia, Nasim Bekheirnia, Matthew N. Bainbridge, Shen Gu, Zeynep Hande Coban Akdemir, Tomek Gambin, Nicolette K. Janzen, Shalini N. Jhangiani, Donna M. Muzny, Mini Michael, Eileen D. Brewer, Ewa Elenberg, Arundhati S. Kale, Alyssa A. Riley, Sarah J. Swartz, Daryl A. Scott, Yaping Yang, Poyyapakkam R. Srivaths, Scott E. Wenderfer, Joann Bodurtha, Carolyn D. Applegate, Milen Velinov, Angela Myers, Lior Borovik, William J. Craigen, Neil A. Hanchard, Jill A. Rosenfeld, Richard Alan Lewis, Edmond T. Gonzales, Richard A. Gibbs, John W. Belmont, David R. Roth, Christine Eng, Michael C. Braun, James R. Lupski, Dolores J. Lamb |
Abstract |
To investigate the utility of whole-exome sequencing (WES) to define a molecular diagnosis for patients clinically diagnosed with congenital anomalies of kidney and urinary tract (CAKUT). WES was performed in 62 families with CAKUT. WES data were analyzed for single-nucleotide variants (SNVs) in 35 known CAKUT genes, putatively deleterious sequence changes in new candidate genes, and potentially disease-associated copy-number variants (CNVs). In approximately 5% of families, pathogenic SNVs were identified in PAX2, HNF1B, and EYA1. Observed phenotypes in these families expand the current understanding about the role of these genes in CAKUT. Four pathogenic CNVs were also identified using two CNV detection tools. In addition, we found one deleterious de novo SNV in FOXP1 among the 62 families with CAKUT. The clinical database of the Baylor Miraca Genetics laboratory was queried and seven additional unrelated individuals with novel de novo SNVs in FOXP1 were identified. Six of these eight individuals with FOXP1 SNVs have syndromic urinary tract defects, implicating this gene in urinary tract development. We conclude that WES can be used to identify molecular etiology (SNVs, CNVs) in a subset of individuals with CAKUT. WES can also help identify novel CAKUT genes.Genet Med advance online publication 22 September 2016Genetics in Medicine (2016); doi:10.1038/gim.2016.131. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 50% |
United Kingdom | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 1% |
Unknown | 93 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 15% |
Other | 11 | 12% |
Student > Ph. D. Student | 9 | 10% |
Student > Bachelor | 9 | 10% |
Professor > Associate Professor | 7 | 7% |
Other | 25 | 27% |
Unknown | 19 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 27 | 29% |
Biochemistry, Genetics and Molecular Biology | 20 | 21% |
Agricultural and Biological Sciences | 11 | 12% |
Unspecified | 5 | 5% |
Computer Science | 3 | 3% |
Other | 5 | 5% |
Unknown | 23 | 24% |