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Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

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A Single Cell Dissociation Approach for Molecular Analysis of Urinary Bladder in the Mouse Following Spinal Cord Injury

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Published on: June 17, 2020

A genome-wide association study with tissue transcriptomics identifies genetic drivers for classic bladder exstrophy.

Enrico Mingardo^1,2,3, Glenda Beaman⁴, Philip Grote^5,6

¹Institute for Anatomy and Cell Biology, University Hospital Bonn, University of Bonn, Bonn, Germany. enming@uni-bonn.de.

Communications Biology

|November 9, 2022

Summary

This summary is machine-generated.

This study identifies eight genetic loci associated with classic bladder exstrophy, a severe congenital anomaly. These findings suggest novel genetic drivers for bladder exstrophy and potential links to bladder cancer susceptibility.

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Area of Science:

Genetics
Developmental Biology
Urology

Background:

Classic bladder exstrophy is a severe congenital anomaly of the urinary tract.
It is associated with an increased risk of bladder cancer.
Previous genetic studies were limited in scope.

Purpose of the Study:

To conduct the largest genome-wide association analysis for classic bladder exstrophy to date.
To identify novel genetic loci and genes involved in its development.
To explore the potential role of these genes in bladder cancer susceptibility.

Main Methods:

Genome-wide association analysis (GWAS) on a large cohort.
Identification and characterization of significant genetic loci.
Gene expression analysis in embryonic tissues and bladder cancer.
Re-sequencing of candidate genes, including EFNA1.

Main Results:

Identified eight genome-wide significant loci for classic bladder exstrophy, seven novel.
Found ten coding and four non-coding genes within these loci.
EFNA1 showed enrichment of rare protein-altering variants in patients.
Nine coding genes were differentially expressed in bladder cancers, suggesting a link.

Conclusions:

The study proposes novel genetic drivers for classic bladder exstrophy.
Identified genes are expressed during embryonic bladder development.
These genetic factors may contribute to bladder cancer susceptibility.