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
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. More...


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


Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Verification Panels for Assay Development & QC
Seroconversion Panels
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
Blood Glucose Reference Analyzer
Nova Primary
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.