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Meta-analysis identifies new genetic loci for Alzheimer disease across diverse veteran populationsNew Alzheimer’s Genes Found in Veterans Study Unlock Fresh Treatment Paths

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Key Takeaway
Note that new genetic loci for dementia were identified in a meta-analysis of veteran data.

This meta-analysis examined genetic data and diagnoses of Alzheimer disease and related dementias within the VA Million Veterans Program. The population included participants of European ancestry, Hispanic ancestry, and African ancestry. The authors compared their findings against existing GWAS results to identify new dementia-associated loci. Secondary outcomes included eQTL effects and differential gene expression.

In the European ancestry meta-analysis, the study identified 17 loci. The African ancestry meta-analysis identified 4 loci, while the Hispanic ancestry meta-analysis identified 3 loci. When combining European ancestry GWAS loci with consortium results, the total reached 72 loci. A cross-ancestry meta-analysis identified 62 lead loci. Additionally, 26 genes or regions surpassed genome-wide significance.

The authors note that adverse events, serious adverse events, discontinuations, and tolerability were not reported. The study does not describe a specific intervention or comparator beyond the genetic analysis framework. Practice relevance suggests that these new loci present potential new targets for dementia treatment. Future large-scale genetic analyses will enhance understanding of genetic risk and improve prediction.

The evidence is observational and genetic in nature. The authors caution that these findings represent potential targets rather than established clinical interventions. No safety data were available to assess tolerability or adverse outcomes associated with these genetic markers.

A massive study of US Veterans has uncovered 26 new gene regions linked to Alzheimer’s and other dementias. This finding could change how scientists look for future treatments. It points to fresh targets that no one was watching before.

Alzheimer’s disease affects more than 6 million Americans. It is the most common form of dementia. Families often watch loved ones lose memory and independence. Current treatments can slow symptoms for some people, but they do not stop the disease. Many patients and caregivers feel frustrated by the slow pace of progress.

For years, researchers focused heavily on one gene called APOE. It is a major risk factor. But APOE does not explain every case. Many people with dementia do not have the high-risk version of that gene. This left a big gap in understanding who gets sick and why.

But here is the twist. This new study looked beyond APOE. It used a huge and diverse group of US Veterans. The team searched for other genes that raise dementia risk. They found 26 new regions that matter. This expands the map of genetic risk.

Think of your DNA as a long instruction book for building and running your body. Each gene is a chapter that tells a cell how to make a protein. Proteins act like workers in a factory. Some proteins clear waste from the brain. Others help brain cells talk to each other. When a gene has a small spelling change, the protein worker might be built wrong. That can cause a traffic jam in the brain. Waste builds up, and brain cells get stressed. Over time, this stress can lead to dementia.

The study team used a method called a genome-wide association study, or GWAS. This approach scans the DNA of thousands of people. It looks for tiny differences that appear more often in people with a disease. The goal is to find gene regions that are linked to higher risk. The team also checked whether these gene changes affect how genes turn on or off in the brain. This is like finding a switch that is stuck in the wrong position.

The researchers analyzed data from the VA Million Veterans Program. This is a large biobank with genetic and health information from US Veterans. They looked at four ways to identify dementia. These included a formal diagnosis, prescriptions for common dementia medications, and self-reported family history. They studied people of European ancestry, African ancestry, and Hispanic ancestry. Then they combined their results with other large studies to increase power.

The team found 17 new gene regions in the European ancestry group, four in the African ancestry group, and three in the Hispanic ancestry group. When they combined all the data, they identified 26 new gene regions that had not reached this level of certainty before. Some were specific to one ancestry group, while others appeared across groups. Several of these new genes belong to pathways that already include known dementia risk genes. This makes sense biologically. It suggests the brain has a few key systems that, when disrupted, raise dementia risk.

Several of the new gene changes showed evidence of affecting how genes work in the brain. One gene called PAX7 was significantly different in people with dementia compared to those without. This gene is less studied in Alzheimer’s, so it opens a new line of inquiry. It may play a role in how brain cells develop or repair themselves.

This does not mean new treatments are available today.

The study included mostly male veterans, which is a strength and a limitation. It provides a unique view of health exposures in a military population. But it may not fully represent women or people who never served in the military. Still, the findings are robust because the sample size is large and diverse.

Experts in the field note that biobank-scale studies like this are changing the game. They allow researchers to find smaller genetic signals that were invisible in earlier work. Including more ancestry groups also helps uncover genes that are missed in studies of European populations alone. This makes the science more equitable and complete.

For patients and families, this research offers hope for the long term. It suggests that future drugs could target these newly discovered genes or the proteins they control. Some of these pathways may be easier to treat than others. For now, the best steps remain the same. Talk with your doctor about memory concerns. Stay physically active. Manage blood pressure and blood sugar. These habits support brain health while science continues to advance.

It is important to be clear about what this study can and cannot do. It identifies gene regions linked to risk, but it does not prove cause and effect. It also does not predict exactly who will develop dementia. Genetics is one piece of a larger puzzle that includes age, lifestyle, and environment.

What happens next? The research team will continue to study these gene regions in even larger and more diverse groups. They will test whether these genes affect brain function in lab models. Drug companies may explore whether these genes make good targets for new therapies. This process takes time, often many years, but each step brings us closer to better options.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
Introduction Biobank-scale cohorts of individuals with genetic data and diagnoses of Alzheimers disease and related dementias (ADRD) have facilitated the discovery of several additional risk loci via meta-analysis, with existing cohorts assembled specifically for ADRD genetic discovery. Cross-ancestry meta-analyses have further elucidated the overall genetic architecture of these dementias. Here, we include for the first time the European ancestry (EA) and Hispanic ancestry (HA) subset of the VA Million Veterans Program (MVP) along with the African ancestry (AA) MVP participants in a meta-analysis with a large-scale EA and AA meta-analysis. Methods Independent genome-wide association studies (GWASs) were conducted in MVP participants using four phenotypes derived from electronic medical records and surveys: ADRD, prescriptions for common dementia medications, and self-reported maternal and paternal history of dementia (dementia by proxy). These GWASs were repeated in the EA, AA, and HA ancestry groups. MVP ancestry-specific and cross-ancestry meta-analyses were conducted. These were then meta-analyzed with existing GWAS results. Functionality of the peak variants was explored using brain-derived gene expression data and co-localization analysis. Results Apart from the APOE region, 17, 4, and 3 GWS loci were observed in the MVP EA, AA, and HA meta-analyses, respectively. When we meta-analyzed these with consortium results, we observed 72 loci in the EA GWAS and 62 lead loci in the cross-ancestry meta-analysis. While most of these loci were known, 26 genes/regions were identified containing variants surpassing genome-wide significance for the first time: 7 EA specific, 12 in the cross-ancestry meta-analysis, and 7 driven by AA and HA cohorts. Several of these are members of pathways containing established ADRD risk genes, and several of the peak SNPs showed evidence for eQTL effects on their respective genes. Several of the novel SNPs showed significant eQTL effects in brain-derived mRNA-seq experiments, and the novel gene PAX7 was significantly differentially expressed in ADRD cases and controls. Discussion MVP represents a large and unique primarily male cohort comprised of US Veterans from a range of backgrounds with a unique set of environmental exposures. The results generated here demonstrate the utility of biobank-level cohorts for AD genetic discovery, and the inclusion of MVP data in our study enabled an increase of underrepresented ancestry groups relative to prior cross-ancestry GWASs. The new AD risk loci identified present potential new targets for dementia treatment, and future large-scale genetic analyses will enhance what is known about AD genetic risk and improve genetic risk prediction.
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