Evidence map›Paper›PMID 40340191›Full record

ArticleJournal of pediatric urology2025

Genetic analysis of two bladder exstrophy populations of South Asian and North American origin.

John K Weaver, Dana A Weiss, Austin Thompson, Rakesh Joshi, Jaishri Ramji, Aseem R Shukla, Neeta D'Souza, Erin Kim, Joonsue Lee, Chen-Han Wilfred Wu and 5 more

Abstract read
In one paragraph

Article in Journal of pediatric urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

John K WeaverDivision of Urology Cleveland Clinic Children's, Cleveland Clinic Lerner College of Medicine at Case Western Reserve University School of Medicine, Cleveland, OH, USA. Electronic address: weaverj14@ccf.org.
Dana A WeissDivision of Urology Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Austin ThompsonDivision of Urology Cleveland Clinic Children's, Cleveland Clinic Lerner College of Medicine at Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Rakesh JoshiCivil Hospital, Ahmedabad, India.
Jaishri RamjiCivil Hospital, Ahmedabad, India.
Aseem R ShuklaDivision of Urology Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Neeta D'SouzaDivision of Urology Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Erin KimDivision of Urology Cleveland Clinic Children's, Cleveland Clinic Lerner College of Medicine at Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Joonsue LeeUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.
Chen-Han Wilfred WuDepartment of Genetics and Genome Sciences, University Hospitals/Case Western Reserve University School of Medicine, Cleveland, OH, USA; Division of Urology Rainbow Babies and Children's Hospital/Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Reiley BromsDivision of Urology Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Joseph GlessnerDivision of Urology Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Frank MentchDivision of Urology Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Hakon HakonarsonDivision of Urology Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Louise C PyleCenter for Genetic Medicine Research Children's National Hospital, Washington DC, USA.

Funding

A comprehensive approach to understanding the genetic causes of urinary stone disease: combining monogenic and polygenic analysesK08DK135933 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Chen-Han Wilfred Wu · 2024 to 2026
$486k
NIDDK NIH HHS K08 DK135933
6 · The paper itself

Abstract

introductionBladder exstrophy-epispadias complex (BEEC) is a devastating congenital anomaly of the urinary tract and is associated with an increased risk of bladder cancer. The etiology of the BEEC is unknown, but a clear genetic component has been highlighted. Currently, all genetic studies suffer from small populations, limited to a European background.

objectivesTo identify copy number variations (CNVs) in a South Asian and North American bladder exstrophy cohorts. To identify novel non-European CNVs to expand the literature beyond its European ethnic background. STUDY

designPatients from our South Asian and North American cohorts had DNA isolated from peripheral blood samples and biobanked at the Children Hospital of Philadelphia's (CHOP) Center for Applied Genomics (CAG). DNA Genotyping was performed with various arrays for the North American cohort and the Illumina Global Screening Array for the South Asian cohort. Controls for both cohorts were identified from CHOP's CAG and ethnicity matching by principle component analysis was performed. CNV calling and filtering were performed with PennCNV and ParseCNV, respectively.

resultsThe North American and South Asian cohorts included 53 and 97 patients, respectively. Fifty-five statistically significant CNVs were identified across three independent analyses, of which 53 (96.4 %) were novel to the BE literature. Thirteen of our CNVs were near (within 100 million base pairs) but not in linkage disequilibrium with 8 previously identified BEEC genome-wide association study (GWAS) loci. One of our CNVs (chr16: 28,635,133-28,636,902) was near a previously reported CNV of clinical significance (chr16:29,645,396-30,168,276). Seventeen CNVs contained 15 distinct genes associated with cancer, of which 10/15 (66.7 %) have reported associations in bladder cancer. DISCUSSION: We present the first genetic analysis of a non-European cohort of bladder exstrophy patients. Our study identified a high number of novel CNVs containing cancer predisposition genes mostly distinct from those found in European cohorts. Limitations inherent to BEEC research include small sample sizes which required intermixing of all phenotypes of the BEEC spectrum (epispadias to cloacal exstrophy). These data highlight the importance of multi-institutional and international collaboration to create ethnically diverse cohorts and allow for severity-specific genetic analyses of the different phenotypes within the BEEC.

conclusionWe identified novel CNVs with distinct cancer predisposition genes in the first study to expand the BEEC literature beyond its European ethnic background. Additional studies in other non-European cohorts are needed to expand our understanding of the genetic landscape of BEEC.

Indexed as

Bladder ExstrophyDNA Copy Number VariationsEpispadiasNorth American PeopleSouth Asian PeopleAsia, SouthernChildChild, PreschoolFemaleGenetic Predisposition to DiseaseHumansInfantInfant, NewbornMaleNorth AmericaBladder exstrophyCopy number variantsEpispadias

Identifiers

PMID40340191
PMCPMC12912261

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.