LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Alzheimer's Disease Meta-Analysis Identifies New Risk Genes

By LabMedica International staff writers
Posted on 11 Mar 2019
Print article
Image: Newly identified (red) and known (blue) genes linked to Alzheimer’s disease spike in this table plotting results from genome-wide association analysis of 94,437 individuals with late onset Alzheimer’s (Photo courtesy of Brian W. Kunkle, MD, PhD and colleagues).
Image: Newly identified (red) and known (blue) genes linked to Alzheimer’s disease spike in this table plotting results from genome-wide association analysis of 94,437 individuals with late onset Alzheimer’s (Photo courtesy of Brian W. Kunkle, MD, PhD and colleagues).
The risk for late-onset Alzheimer’s disease (LOAD), the most prevalent dementia, is partially driven by genetics. Scientists have uncovered five new late-onset Alzheimer's disease risk genes in a genetic meta-analysis. They likewise confirmed 20 other genes previously linked to late-onset Alzheimer's risk.

A very large team of scientists led by those at the University of Miami Miller School of Medicine (Miami, FL, USA) combined 46 different datasets to yield an overall set of 35,274 clinical and autopsy-documented Alzheimer's cases and 59,163 controls to interrogate. Through the first two stages of their multi-stage analysis, they uncovered 21 loci reaching genome-wide significance, 18 of which had previously been identified. After the third stage of their investigation and an overall meta-analysis, they identified 13 novel loci associated with risk of late-onset Alzheimer's.

They identified the genes through a genome-wide association meta-analysis using data from more than 94,000 people, which also enabled them to tie certain biological processes like immune response, lipid metabolism, tau binding proteins, and amyloid precursor protein metabolism to disease. This, they noted, suggests that variants affecting amyloid precursor protein (APP) and beta amyloid (Aβ) processing play roles in both early- and late-onset Alzheimer's. Amyloid plaques of Aβ protein and neurofibrillary tangles of tau protein are disease hallmarks.

The team combined together various line of evidence, such as gene annotation, expression quantitative trait loci (eQTL) analyses, gene expression analysis, and pathway analyses, they prioritized candidate genes at the novel signals they found, implicating the IQCK, ACE, ADAM10, ADAMTS1, and WWOX genes in Alzheimer's risk. ADAM10, for instance, encodes an alpha secretase that is active in the brain and is part of the non-amyloidogenic pathway of APP. WWOZ, which is a high-density-lipoprotein cholesterol and triglyceride-associated gene, is highly expressed in astrocytes and neurons, and binds tau, where it may regulate tau hyper-phosphorylation, the formation of neurofibrillaries, and aggregation of Aβ.

The team noted that pathway analysis showing that tau is involved in late-onset Alzheimer's supports recent evidence that tau may play an early pathological role in the disease and confirms that therapies targeting tangle formation or degradation could potentially affect late-onset disease. Their analysis of risk genes and disease-linked pathways also indicated an enrichment of rare variants in late-onset Alzheimer's disease risk and suggested there might be additional rare variants to find if larger samples are studied. The study was published on February 28, 2019, in the journal Nature Genetics.

Related Links:
University of Miami Miller School of Medicine

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
Real-time PCR System
GentierX3 Series

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: The AI predictive model identifies the most potent cancer killing immune cells for use in immunotherapies (Photo courtesy of Shutterstock)

AI Predicts Tumor-Killing Cells with High Accuracy

Cellular immunotherapy involves extracting immune cells from a patient's tumor, potentially enhancing their cancer-fighting capabilities through engineering, and then expanding and reintroducing them into the body.... Read more

Microbiology

view channel
Image: The T-SPOT.TB test is now paired with the Auto-Pure 2400 liquid handling platform for accurate TB testing (Photo courtesy of Shutterstock)

Integrated Solution Ushers New Era of Automated Tuberculosis Testing

Tuberculosis (TB) is responsible for 1.3 million deaths every year, positioning it as one of the top killers globally due to a single infectious agent. In 2022, around 10.6 million people were diagnosed... Read more