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High-Throughput Splicing Assays Identify Known and Novel WT1 Exon 9 Variants in Nephrotic Syndrome.

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Title: High-Throughput Splicing Assays Identify Known and Novel WT1 Exon 9 Variants in Nephrotic Syndrome.
Authors: Smith C; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA., Burugula BB; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA., Dunn I; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA., Aradhya S; Invitae, San Francisco, California, USA., Kitzman JO; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA., Yee JL; Department of Pediatrics, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Source: Kidney international reports [Kidney Int Rep] 2023 Aug 05; Vol. 8 (10), pp. 2117-2125. Date of Electronic Publication: 2023 Aug 05 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101684752 Publication Model: eCollection Cited Medium: Internet ISSN: 2468-0249 (Electronic) Linking ISSN: 24680249 NLM ISO Abbreviation: Kidney Int Rep Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: High-Throughput Splicing Assays Identify Known and Novel WT1 Exon 9 Variants in Nephrotic Syndrome.
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  Data: <searchLink fieldCode="AU" term="%22Smith+C%22">Smith C</searchLink>; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Burugula+BB%22">Burugula BB</searchLink>; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Dunn+I%22">Dunn I</searchLink>; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Aradhya+S%22">Aradhya S</searchLink>; Invitae, San Francisco, California, USA.<br /><searchLink fieldCode="AU" term="%22Kitzman+JO%22">Kitzman JO</searchLink>; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Yee+JL%22">Yee JL</searchLink>; Department of Pediatrics, Division of Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
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  Data: <searchLink fieldCode="JN" term="%22101684752%22">Kidney international reports</searchLink> [Kidney Int Rep] 2023 Aug 05; Vol. 8 (10), pp. 2117-2125. <i>Date of Electronic Publication: </i>2023 Aug 05 (<i>Print Publication: </i>2023).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101684752 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2468-0249 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224680249%22">24680249 </searchLink><i>NLM ISO Abbreviation: </i>Kidney Int Rep <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.ekir.2023.07.033
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