Gram Research analysis of 829 kidney disease patients found that specific genetic variations in three genes significantly predict heart disease risk, with some variations doubling or tripling risk while one variation cut risk in half. Adding these four genetic markers to standard risk prediction improved accuracy by 7.6 percent, suggesting that genetic testing could help doctors identify high-risk patients earlier and start preventive treatments sooner.
Researchers studied 829 people with chronic kidney disease to understand how specific genes affect heart health and kidney function. They found that certain genetic variations in three key genes (called KL, FGF23, and FGFR) can predict who is more likely to have heart problems. According to Gram Research analysis, some genetic patterns protected people from heart events, while others increased risk by more than double. This discovery could help doctors identify which kidney disease patients need closer heart monitoring and earlier treatment. The findings suggest that personalized medicine based on genetics might improve outcomes for people with kidney disease.
Key Statistics
A 2026 study of 829 chronic kidney disease patients found that carriers of one FGFR4 genetic variation had 48 percent lower risk of heart events, while carriers of three other variations had 102 to 138 percent higher risk.
According to research reviewed by Gram, adding four genetic variations to standard heart risk prediction models improved accuracy from 73.9 percent to 79 percent in kidney disease patients, a 7.6 percent improvement.
A 2026 analysis of 829 kidney disease patients identified six genetic variations in the FGFR1 gene associated with vitamin D levels, with one variation showing particularly strong association (p<0.0001).
Research showed that certain combinations of genetic variations from different genes had significantly stronger effects on heart disease risk than individual variations alone, demonstrating important gene-gene interactions in kidney disease patients.
The Quick Take
- What they studied: How genetic differences in three specific genes affect heart disease risk and kidney function in people with chronic kidney disease.
- Who participated: 829 patients with chronic kidney disease at various stages (from early to end-stage disease requiring dialysis), who were tested for 54 genetic variations across four genes.
- Key finding: Certain genetic variations increased heart attack and stroke risk by up to 138 percent, while one variation cut risk in half. Adding these genetic markers to standard risk prediction improved accuracy by 7.6 percent.
- What it means for you: If you have chronic kidney disease, genetic testing might help your doctor predict your heart risk more accurately and start preventive treatments earlier. However, genetics is just one piece of the puzzle, and lifestyle changes remain important.
The Research Details
Researchers recruited 829 patients with chronic kidney disease and tested their DNA for 54 specific genetic variations in four genes involved in kidney and heart health. These genes control how the body regulates minerals, blood pressure, and heart function. The team followed patients over time to see who developed heart problems like heart attacks or strokes. They used statistical methods to find which genetic variations were connected to kidney function decline, blood pressure changes, vitamin D levels, and heart events. They also looked at how combinations of genetic variations worked together to affect risk, since genes often interact with each other rather than acting alone.
The researchers adjusted their analysis for other known risk factors like age, diabetes, and blood pressure medications to make sure the genetic effects were real and not just caused by these other conditions. They used advanced statistical techniques to identify patterns of genetic variations that worked together, similar to how a combination lock requires multiple numbers in the right sequence to open.
This approach is more realistic than looking at single genes because human health is determined by many genes working together, plus environmental factors like diet and exercise.
Most doctors currently predict heart risk in kidney disease patients using clinical information like blood pressure, cholesterol, and kidney function tests. However, these predictions miss many people who will have heart problems. Adding genetic information could catch more at-risk patients earlier. This study shows that genetic testing could improve prediction accuracy, potentially allowing doctors to start preventive treatments before heart damage occurs.
This study has several strengths: it included a large number of patients (829), tested many genetic variations (54), and followed patients over time to see real health outcomes rather than just measuring blood markers. The researchers adjusted for other risk factors that could confuse the results. However, the study was observational, meaning researchers watched what happened rather than randomly assigning people to different treatments, so we cannot prove that the genetic variations directly cause heart problems. The study also only included patients from one healthcare system, so results might differ in other populations. Additionally, the improvements in prediction accuracy, while statistically significant, were modest (7.6 percent improvement).
What the Results Show
The research identified four specific genetic variations that significantly affected heart disease risk in kidney disease patients. One variation in the FGFR4 gene (rs351855) was protective, cutting the risk of heart events in half (hazard ratio 0.52). In contrast, three other variations increased risk substantially: one in the KL gene (rs2283368) doubled risk, another KL variation (rs575536) more than doubled risk, and one in the FGFR1 gene (rs2956724) more than doubled risk.
The study also found that genetic variations affected kidney function and blood pressure. One FGF23 variation was associated with faster kidney function decline, while one KL variation was associated with better kidney preservation. Several KL variations affected blood pressure, with some lowering diastolic pressure by about 2.4 points and others raising pulse pressure by 3 to 5 points.
When researchers combined these four high-risk genetic variations into a prediction model alongside standard clinical information, the model’s accuracy improved from 73.9 percent to 79 percent. This means adding genetic information helped doctors better identify who would have heart problems. The study also found that certain combinations of genetic variations had even stronger effects than individual variations alone, suggesting that genes interact with each other in complex ways.
Six variations in the FGFR1 gene were associated with vitamin D levels, which is important because vitamin D affects bone health and heart health in kidney disease patients. The strongest association was with variation rs2978083. The researchers also identified specific combinations of genetic variations (called haplotypes) that affected heart risk more strongly than individual variations. Additionally, they found evidence of epistasis, meaning that certain pairs of genetic variations from different genes had much stronger effects when they occurred together than when they appeared separately.
This study builds on earlier research showing that the KL-FGF23-FGFR system is disrupted in kidney disease and contributes to heart problems. Previous studies looked at individual genes or single variations. This research is more comprehensive because it examines how multiple genes in this system work together and how they interact. The finding that genetic combinations are more predictive than single variations aligns with modern understanding that complex diseases like heart disease result from many genetic and environmental factors working together.
The study followed patients for a limited time period, so long-term effects are unknown. Only 73 patients (8.8 percent) experienced heart events during follow-up, which is a relatively small number for genetic studies and means some findings might not hold true in larger populations. The study included only patients from one healthcare system, mostly of European ancestry, so results might not apply to other ethnic groups or geographic regions. The improvement in prediction accuracy, while meaningful, was modest at 7.6 percent. The study is observational, so it cannot prove that these genetic variations directly cause heart problems, only that they are associated with them. Finally, the study did not examine how lifestyle factors like diet, exercise, and smoking might interact with these genetic variations.
The Bottom Line
If you have chronic kidney disease, discuss genetic testing with your nephrologist (kidney specialist) to see if it might help predict your heart risk. This is especially important if you have other heart disease risk factors like diabetes, high blood pressure, or a family history of heart disease. Continue following standard recommendations: take medications as prescribed, monitor blood pressure and kidney function regularly, eat a kidney-friendly diet, exercise as tolerated, and avoid smoking. Genetic information should complement, not replace, these proven strategies. The confidence level for these recommendations is moderate because the genetic improvements in prediction were modest, and more research is needed to determine if genetic testing actually changes treatment decisions and improves outcomes.
People with chronic kidney disease should be most interested in this research, especially those with additional heart disease risk factors. Nephrologists and cardiologists treating kidney disease patients should consider whether genetic testing could improve their risk assessment. People with a family history of both kidney disease and heart disease might also benefit from understanding this genetic connection. However, people without kidney disease do not need to worry about these specific genetic variations for now.
If genetic testing becomes available and shows high-risk variations, benefits would depend on how quickly doctors start preventive treatments. Some benefits like improved blood pressure control might appear within weeks to months. Protection from heart attacks and strokes would take longer to measure, likely months to years. This is why regular follow-up and monitoring remain essential.
Frequently Asked Questions
Can genetic testing predict if I will have a heart attack if I have kidney disease?
Genetic testing can improve heart disease risk prediction in kidney disease patients, but it is not a perfect predictor. Researchers found that adding four genetic markers improved prediction accuracy by 7.6 percent. Genetics is just one factor; your actual risk also depends on blood pressure, cholesterol, diabetes, age, and lifestyle choices.
What are the KL and FGFR genes and why do they matter for kidney disease?
KL and FGFR genes control proteins that regulate minerals, blood pressure, and heart function in your body. When kidney disease disrupts these systems, heart problems become more likely. Variations in these genes affect how well your body maintains these critical functions, influencing your heart disease risk.
If I have a genetic variation that increases heart risk, what should I do?
Work closely with your kidney and heart doctors to monitor your health more frequently. Take all prescribed medications consistently, especially blood pressure and heart medications. Make lifestyle changes like reducing salt intake, exercising regularly, managing stress, and avoiding smoking. Genetic risk is modifiable through treatment and lifestyle.
Does this research mean I should get genetic testing right now?
Discuss genetic testing with your nephrologist or cardiologist to determine if it is appropriate for you. It may be most helpful if you have multiple heart disease risk factors or if your doctors are uncertain about your risk level. Genetic testing is not yet standard care but may become more common as research advances.
How do genes from different genes interact to affect heart disease risk?
The study found that certain combinations of variations from KL and FGFR1 genes had much stronger effects on heart disease risk than individual variations alone. This means your genes work together like a team, and the combination matters more than any single gene, which is why multi-gene testing may be more useful than testing single genes.
Want to Apply This Research?
- If you have genetic testing results, track your blood pressure daily and log any heart-related symptoms (chest pain, shortness of breath, irregular heartbeat). Compare your readings to your target blood pressure goals set by your doctor. This creates a personalized baseline to monitor whether preventive treatments are working.
- Set medication reminders to ensure you take heart and kidney protective medications consistently. If your genetic results show increased risk, use the app to schedule more frequent blood pressure checks and kidney function tests. Create alerts for lifestyle goals like 30 minutes of moderate activity daily and reducing sodium intake to less than 2,300 mg per day.
- Use the app to track trends in blood pressure, kidney function test results (creatinine and GFR), and any cardiovascular symptoms over months and years. Share these trends with your doctor at each visit to assess whether your current treatment plan is working. If you receive genetic testing results, note the date and use the app to monitor whether your risk profile changes with treatment adjustments.
This article summarizes research findings and is not medical advice. Genetic testing and interpretation should only be performed by qualified healthcare providers. If you have chronic kidney disease, consult your nephrologist or cardiologist before making any changes to your treatment plan or pursuing genetic testing. The findings presented are from a single observational study and should not be considered definitive medical guidance. Individual results may vary based on your specific health situation, genetics, and other risk factors.
This research translation is published by Gram Research, the science division of Gram, an AI-powered nutrition tracking app.