We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




Genomic Study Identifies Kidney Disease Loci in Type I Diabetes Patients

By LabMedica International staff writers
Posted on 30 Sep 2019
Print article
Image: A photomicrograph showing two glomeruli in diabetic kidney disease: the acellular light purple areas within the capillary tufts are the destructive mesangial matrix deposits (Photo courtesy of Wikimedia Commons).
Image: A photomicrograph showing two glomeruli in diabetic kidney disease: the acellular light purple areas within the capillary tufts are the destructive mesangial matrix deposits (Photo courtesy of Wikimedia Commons).
A large genome-wide association study (GWAS) identified 16 genetic loci linked to the development of kidney disease by individuals with type I diabetes.

Although earlier studies have found that diabetic kidney disease has a heritable component, searches for the genetic determinants of this complication of diabetes have had limited success.

To identify genetic variants that predispose people to diabetic kidney disease, investigators at Harvard Medical School (Boston, MA, USA) and their colleagues performed genome-wide association analyses on samples from19,406 individuals of European descent with type I diabetes, with and without kidney disease.

Results revealed 16 genome-wide loci linked to significant risk of developing kidney disease. The variant with the strongest association was a common missense mutation (a point mutation in which a single nucleotide change results in a codon that codes for a different amino acid) in the collagen type IV alpha 3 chain (COL4A3) gene, which encodes a major structural component of the glomerular basement membrane (GBM).

Mutations in COL4A3 have been implicated in heritable kidney disorders, including the progressive inherited nephropathy Alport syndrome.

“This study represents a substantial advance in the genetics of diabetic kidney disease, where previous studies had yielded few robust associations,” said senior author Dr. Jose C. Florez, professor of medicine at Harvard Medical School. “The 16 diabetic kidney disease-associated regions provide novel insights into the pathogenesis of diabetic kidney disease, identifying potential biological targets for prevention and treatment.”

Related Links:
Harvard Medical School

New
Gold Member
Chagas Disease Test
CHAGAS Cassette
Gold Member
Flocked Fiber Swabs
Puritan® Patented HydraFlock®
New
Refrigerated Centrifuge
CAPPRondo Refrigerated Centrifuge
New
PROM Test
AMNIOQUICK DUO

Print article

Channels

Molecular Diagnostics

view channel
Image: A coronal MRI section shows a high-intensity focused ultrasound lesion in the left thalamus of the brain (Photo courtesy of UT Southwestern Medical Center)

Newly Identified Stroke Biomarkers Pave Way for Blood Tests to Quickly Diagnose Brain Injuries

Each year, nearly 800,000 individuals in the U.S. experience a stroke, which occurs when blood flow to specific areas of the brain is insufficient, causing brain cells to die due to a lack of oxygen.... Read more

Immunology

view channel
Image: New research has revealed a novel biomarker for autoimmune diseases (Photo courtesy of Shutterstock)

Novel Analytical Method Tracks Progression of Autoimmune Diseases

Patients with autoimmune diseases often have lifelong contact with doctors and hospitals. The typical patient diagnosed is a woman in her fifties and the disease requires lifelong treatment.... Read more

Microbiology

view channel
Image: The study identified a genetic signature in bacteria that, when present, indicates the likelihood of developing antibiotic resistance (Photo courtesy of Tulane University)

Unique Genetic Signature Predicts Drug Resistance in Bacteria

Antibiotic resistance represents a significant global health threat, responsible for over a million deaths each year. By 2050, the World Health Organization predicts that it could surpass cancer and heart... Read more

Pathology

view channel
Image: The squares are representative partial pictures from the cancer microscopy slides, that the AI system has automatically organized by their similarity (Photo courtesy of University of Jyväskylä)

New AI Tool Outperforms Previous Methods for Identifying Colorectal Cancer from Tissue Sample Analysis

Tissue analysis typically involves a pathologist reviewing scanned digital slides from a patient’s intestinal sample and marking specific areas, such as those where cancerous and related tissues are present.... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.