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
INTEGRA BIOSCIENCES AG

Download Mobile App




Genetic Profiling Identifies Blood Clot Risk

By LabMedica International staff writers
Posted on 14 Dec 2010
An analysis of genome-wide platelet ribonucleic acid (RNA) expression data can identify people at risk of developing potentially fatal blood clots that can lead to heart attack. More...


The discovery of novel genes regulating platelets will help our understanding of what makes these cells more sticky in some people than in others and could provide potential therapeutic targets for treatment of cardiovascular disease.

An international team from the Universities of Leicester, (Leicester, UK) and Cambridge (Cambridge, UK), analyzed expression data from 37 subjects representing the normal range of platelet responsiveness within a cohort of 500 subjects. They identified 63 genes in which transcript levels correlated with variation in the platelet response to adenosine diphosphate and/or the collagen-mimetic peptide, a cross-linked collagen-related peptide. An association study of 6 of the 63 genes in 4,235 cases and 6,379 controls showed a putative association with myocardial infarction.

Willem Ouwehand, MD PhD, one of the senior authors of the study, said, "Studies in large number of UK National Health Service patients who experienced a heart attack and healthy controls suggests that genetic differences in the gene for this protein slightly modifies the risk for blood clots. This type of study will help us to unravel the complex question why some people have a higher risk of a heart attack than others. One day this type of investigation may lead to a new generation of drugs that can be used to reduce the risk of this devastating disease.” The study was published in November 2010 in the journal Blood.

Related Links:
Universities of Leicester
University of Cambridge



Platinum Member
ADAMTS-13 Protease Activity Test
ATS-13 Activity Assay
Verification Panels for Assay Development & QC
Seroconversion Panels
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
COVID-19 Antigen Self-Test
Panbio COVID-19 Antigen Self-Test
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 © 2000-2026 Globetech Media. All rights reserved.