Discover Your Body's True Age.
What matters is how your organs are actually ageing – and now you can measure it with scientific precision.
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• Discover your Biological Age across Organs •
460 Biomarkers
19 Systems
1 SystemAge™ Test
Detect Risks
Before Symptoms
Science Backed
Clinically Driven
Tailored to You
Where science meets longevity
The Gold Standard in Biological Age Testing
Stop waiting for symptoms to start
Detect Disease Early, Before it Manifests
Aging is the root cause of most chronic illness. SystemAge is the first and only clinically validated test that detects early biological risks—before you feel a thing.
Your body speaks before disease strikes. We help you listen.
Read Our Publication →
Entropy Curve
SystemAge™ biological age test
460 Biomarkers
19 Systems
1 SystemAge™ Test
Detect Risks
Before Symptoms
Science Backed
Clinically Driven
Tailored to Your Clients
Scientifically backed insights
01
Easy At-Home Test
02
Get Your SystemAge Report + Personalised Action Plan
03
Track your Progress
Revealing Biological Noise
What our tests reveal
Our test services DNA methylation-based epigenetic processing and analysis diagnostics to deliver DNA your body's instruction that tells your biological age.
01
Top Ageing Factors
Uncover ageing factors accelerating biological decline and areas of gain, providing the blueprint for precision intervention strategies.
02
Ageing Stressors
Pinpointing stressors posing a grave threat to accelerated ageing. We focus on the processes that post comprehensive insights into the pace of ageing.
03
Ageing Trajectory
Get precise insight into aging trajectory, measures the efficacy of lifestyle changes, supplements, and anti-aging interventions.
DNA Methylation Noise Detection
Clinician Benefits
01
System-level biological ageing insight
Reveals how fast the body is ageing at the cellular and organ-system level, not just a single biological age number.
02
Early detection before symptoms
Detects biological instability early, supporting proactive, preventive care before disease develops.
03
Track healthspan outcomes
Objectively monitor how lifestyle, nutrition, and emerging therapies impact biological aging over time.
04
Built for longevity medicine
Supports a proactive, personalised care model focused on reversing ageing speed, extending healthspan, not just treating disease.
Trusted by 275+ Clinics
We're honored to be the choice of the medical pioneers who use our insights to transform lives, every day.
Become a Provider
Dr. Steven Murphy, MD
Pioneer in Genomic Medicine, Author & Medical Professor. “With traditional medicine falling short, there's a growing demand for personalized data to prevent illness.”
Dr. Mariel Saade, MD
Specialist in Longevity Medicine
Dr. Dana Churchill, NMD
Founder of Churchill Center, Specialist of Integrated Healthcare
Peter Diamandis
Executive chairman of the X Prize Foundation. “We're the first generation with the power to understand and slow aging, extend human healthspan. Generation Lab is at the forefront of that science.”
Dr. Steven Murphy, MD
Pioneer in Genomic Medicine, Author & Medical Professor. “With traditional medicine falling short, there's a growing demand for personalized data to prevent illness.”
Dr. Mariel Saade, MD
Specialist in Longevity Medicine
Dr. Dana Churchill, NMD
Founder of Churchill Center, Specialist of Integrated Healthcare
Peter Diamandis
Executive chairman of the X Prize Foundation. “We're the first generation with the power to understand and slow aging, extend human healthspan. Generation Lab is at the forefront of that science.”
Dr. Elizabeth Yurth, MD
Founder of Boulder Longevity Institute
Dr. George Church, PhD
The Robert Winthrop Professor of Genetics at Harvard Medical School. "The team is taking cutting edge research straight out of the lab and applying it to a pressing issue: identifying disease much earlier than ever before possible using genetic markers. It's a pivotal moment in epigenetics and I'm excited to see what unfolds
Dr. Weiguo Li, MD
Physician at Alhambra Hospital Medical Center & Garfield Medical Center
Carrie Drinkwine
Owner & CEO of Institute of Regenerative Health
Dr. Elizabeth Yurth, MD
Founder of Boulder Longevity Institute
Dr. George Church, PhD
The Robert Winthrop Professor of Genetics at Harvard Medical School. "The team is taking cutting edge research straight out of the lab and applying it to a pressing issue: identifying disease much earlier than ever before possible using genetic markers. It's a pivotal moment in epigenetics and I'm excited to see what unfolds
Dr. Weiguo Li, MD
Physician at Alhambra Hospital Medical Center & Garfield Medical Center
Carrie Drinkwine
Owner & CEO of Institute of Regenerative Health
Dr. Adeel Khan, MD
Regenerative Medicine Doctor, CEO & Founder of Eterna Health. “We are now ready for healthcare 3.0 focusing on prevention. Generation Lab is the tool that I trust.”
Dr. Adeel Khan, MD
Regenerative Medicine Doctor, CEO & Founder of Eterna Health
Natalia Naila
Certified Health Coach & Host of Wellness Is Life Podcast
Dr. Ariana Fontenot, PT
Founder of Slight Motion PT
Dr. Adeel Khan, MD
Regenerative Medicine Doctor, CEO & Founder of Eterna Health. “We are now ready for healthcare 3.0 focusing on prevention. Generation Lab is the tool that I trust.”
Dr. Adeel Khan, MD
Regenerative Medicine Doctor, CEO & Founder of Eterna Health
Natalia Naila
Certified Health Coach & Host of Wellness Is Life Podcast
Dr. Ariana Fontenot, PT
Founder of Slight Motion PT
Science Developed by Dr. Irina Conboy After 20+ Years of Research
The Gold Standard in Biological Age Testing
Clinically validated. Head-to-head tested.
Proven Accuracy Outperforming Competition
See how The SystemAge™ stacks up in direct comparisons against traditional biological age clocks— and why doctors are standing behind it.
Learn more →| SystemAge™ | DunedinPACE | PhenoAge | |
|---|---|---|---|
| Accuracy | 0.99 | 0.58 | 0.57 |
| Confidence (MMC) | 0.97 | 0.16 | 0.14 |
| Specificity (TNR) | 0.983 | 0.584 | 0.573 |
| Sensitivity | 0.994 | 0.576 | 0.568 |
| Negative Predictive Value (NPV) | 0.986 | 0.537 | 0.568 |
| F1-score | 0.993 | 0.586 | 0.571 |
Your full-body aging profile, decoded
19 Organ Systems, 1 Simple Test
Our proprietary 460-biomarker panel delivers the most comprehensive aging profile available today.
1. Auditory System
2. Cardiac System
3. Blood & Vascular System
4. Hepatic System (Liver)
5. Muscular System
6. Skeletal System
7. Nervous System
8. Brain Health & Cognition
9. Respiratory System
10. Blood Sugar & Insulin Control
11. Immune System
12. Oncogenesis (Cell Mutation)
13. Metabolism
14. Inflammatory Regulation
15. Tissue Regeneration
16. Fibrosis (Scar Tissue Formation)
17. Digestive System
18. Urinary System
19. Reproductive System
Stop waiting for symptoms to start
Detect Disease Early, Before it Manifests
Aging is the root cause of most chronic illness. SystemAge is the first and only clinically validated test that detects early biological risks—before you feel a thing.
Your body speaks before disease strikes. We help you listen.
Read Our Publication →
Entropy Curve
Turning health data into real decisions
Personalization Powered by Our Intelligence Engine™
Personalized health insights. Clinically backed. Built for your body.
Our proprietary Intelligence Engine™ analyzes your biological age data to deliver tailored recommendations—grounded in science, designed for change.
FAQ
How do we measure SystemAge, and what science is it based on?
The SystemAge section encompasses both overall SystemAge and functional SystemAge calculations for a total of 19 distinct systems. Each system represents a critical system contributing to the overall functionality of the body. SystemAge is calculated in the report by employing a "noise barometer" approach, which focuses on cytosines with stable methylation throughout life. Biological age is measured by quantifying the dysregulation of these cytosines, using the sums of standard deviations of their methylation values as biomarkers of ageing and disease. This method identifies increased biological noise as a key indicator of ageing and disease.
Our science/ approach is rooted in extensive research led by one of our co-founders Dr. Irina Conboy, a field expert with over 20+ years of experience, which strengthens our ability to advance in biological ageing science and product development. For more detailed scientific information, please refer to the following publications:
https://pmc.ncbi.nlm.nih.gov/articles/PMC10522373/
https://doi.org/10.1101/2024.10.09.617512
How's the overall SystemAge calculated compared to the SystemAge of 19 different systems?
The overall SystemAge calculation is not simply an average of the SystemAges for the 19 systems. Rather, it is based on a more complex and comprehensive set of biomarkers, going beyond those mapped to individual systems. While each SystemAge provides valuable insights into the health of a specific system, your overall body performance is influenced by a broader set of factors. By incorporating a wider range of biomarkers, the overall SystemAge offers a more holistic and complete assessment of your general health.
Is it normal to see a significant age difference between SystemAge and my chronological age?
There can sometimes be significant differences between SystemAge and chronological age, as chronological age only reflects the passage of time, not your health. Additionally, ageing is not a linear process—both overall and system-specific ageing can enter multiple plateau phases where biological changes slow down and stabilise. For example, if overall ageing enters a plateau between ages 28 and 40, seeing a SystemAge of 28, 38, or 40 wouldn't suggest major biological differences, as these ages fall within a range where biological noise remains relatively unchanged.
How do we calculate the SystemAge statuses (Reverse/ Excellent, Good, Normal, Needs Attention)?
The statuses are distinguished based on your Ageing Speed, which is a ratio that indicates how fast you have aged biologically compared to the chronological time. The cutoff values for these statuses are based on the age distribution of the population in our comprehensive dataset of half a million. The cutoff values will be slightly adjusted over time to reflect new insights and data in biological healthy ageing.
What population are we comparing to?
Depending on the section you are viewing:
The Ageing Entropy curve for each function and the SystemAges for various body systems are derived from a healthy reference population across different age groups. While both healthy and unhealthy populations are used during product development and validation, the data used for the Ageing Entropy curve and bio-noise calculations come from healthy individuals of various ages.
For calculations such as age difference, ageing speed, and ageing factors, we compare your SystemAge results with your chronological age or compare the SystemAge across your different body systems. This helps identify which systems may need the most attention, specifically for you as Top Ageing factors.
How do we measure the SystemAge/ biological age for different organs/ systems using blood?
To assess the biological age of different organs and systems, SystemAge analysis uses a method that examines specific cytosines in blood samples. While we aren't testing the organs directly, we can mirror each system's ageing process by analysing the methylation patterns for specific cytosines in blood (PBMC - stands for Peripheral Blood Mononuclear Cell). These cytosines are linked to genes that correspond to various biological systems, allowing us to estimate the ageing process within each system. This approach provides a unique ageing profile for each system, showing how each one contributes to the overall biological age.
Do we have details on the individual markers that went into each age report?
At this time, we are unable to disclose the detailed list of biomarkers for each specific system. The biomarkers used in each specific system are selected for their relevance to the biological functions of that system, while the overall SystemAge is calculated using a more comprehensive set of biomarkers selected from over 260K cytosines, reflecting the complexity of overall health beyond a single system. Each of the 19 systems in our analysis uses a specific subset of these biomarkers, ensuring accurate evaluation based on clinical relevance and scientific validation.
We have our Custom Aging Chip in total of 260K CpGs co-designed and manufactured by Illumina. For more insight into the logic behind our algorithm and calculations, please refer to the following research paper if you are interested:
https://pmc.ncbi.nlm.nih.gov/articles/PMC10522373/
What is the size of this reference population group?
Our reference population group consists of more than half a million samples from healthy and unhealthy individuals, sourced from different biobanks and our research initiatives over 20+ years in Conboy Lab. The Conboy Lab and Generation Lab collaborate on this effort, encompassing a diverse range of ages from both healthy and unhealthy populations. We are continuously working to expand our datasets to further enhance our analysis.
Why am I getting very different results from other biological age tests/clocks?
Most biological age clocks rely on mathematical models that often prioritize features with minimal biological relevance, which highly limits their ability to distinguish between healthy and unhealthy aging patterns. In contrast, our approach is built on selecting biomarkers with high biological significance. This ensures that the features we analyze accurately reflect underlying health conditions, leading to a more precise and meaningful measure of biological age. If you are interested in more detailed information, please refer to the following papers:
https://pmc.ncbi.nlm.nih.gov/articles/PMC10522373/
https://doi.org/10.1101/2024.10.09.617512
Are 'Associated Diseases' and 'Associated Pathways' personalised?
No, they are not personalised. 'Associated Diseases' and 'Associated Pathways' provide typical links relevant to each bodily system, offering general insights rather than individualised biomarker data.
If all of my SystemAge numbers are younger or close to my chronological age, am I done?
Having SystemAge numbers close to or younger than your chronological age is a great indicator of health, but it's not the end of the journey. It's important to keep monitoring and addressing the top ageing factors that most impact you. Sustaining a healthy SystemAge requires ongoing focus on these areas to support long-term health and resilience. The goal is to keep you on a healthy "plateau" for as long as possible.
Will exercise affect the SystemAge of the Muscular System?
The SystemAge of the Muscular System can be influenced by factors such as exercise levels. While regular exercise supports muscular health, over-exercising or intense-exercising may accelerate the SystemAge of the muscular system temporarily due to the physical stress they place on muscle tissues.
High-intensity exercise causes small tears in muscle fibers, leading to inflammation and oxidative stress as the body repairs these tissues. This repair process increases the production of free radicals and stress hormones, which can elevate cellular damage markers. Consequently, this temporary increase in biological noise can register as an "older" SystemAge for the Muscular System. However, with proper recovery, the system typically returns to a younger or healthier state, as regular exercise strengthens and improves overall muscular health.
Chronological Age vs. SystemAge:
Chronological age reflects the number of years a person has lived, a measure that is constant and remains constant, regardless of health or lifestyle factors. In contrast, SystemAge is dynamic, reflecting changes in health and physiological status. SystemAge can rise or fall depending on each system's health; for instance, illness or disease can accelerate ageing in specific systems, temporarily raising your SystemAge. As health improves, SystemAge can decrease, offering a more accurate view of recovery and overall vitality. This adaptability makes SystemAge a powerful tool for tracking health over time and evaluating the impact of lifestyle interventions.
What do systems like neurodegeneration and oncogenesis indicate?
Systems such as neurodegeneration and oncogenesis do not imply that you have these diseases. Instead, they reflect the ageing trajectory associated with specific systems. For example, the Neurodegeneration System pertains to the ageing of nerve cells, highlighting potential vulnerabilities within that system rather than diagnosing any particular condition.
Systems like neurodegeneration and oncogenesis in ageing assessments reflect the potential ageing pathways or vulnerabilities in specific bodily systems rather than diagnosing any disease. For instance:
Neurodegeneration System: This system assesses the rate at which nerve cells (neurons) show signs of ageing. While a higher SystemAge in neurodegeneration could indicate vulnerability or stress in neural tissues, it does not diagnose a neurological disease like Alzheimer's. Instead, it reflects factors like inflammation, oxidative stress, or metabolic strain on the nervous system. Such information can help guide preventive steps to support long-term brain health.
Oncogenesis System: This system tracks cellular changes associated with the development of cancer cells, focusing on cellular repair, immune surveillance, and DNA integrity. A higher SystemAge in oncogenesis could indicate an elevated cellular stress level or reduced efficiency in repair mechanisms, making cells more susceptible to mutations. However, it does not mean there is a cancer diagnosis; instead, it highlights areas where lifestyle changes, like improving diet or reducing exposure to carcinogens, could support cellular resilience.
These systems provide insights into the ageing trajectory of different body systems, helping to identify areas that might benefit from preventive measures or lifestyle adjustments. They offer a broader picture of health and ageing, allowing individuals to take proactive steps without implying specific disease diagnoses.
What does 'reverse' status mean?
'Reverse' status indicates excellent system function, often exceeding typical biological age expectations.
Is SystemAge™ classified as an in vitro diagnostic tool?
SystemAge™ is not a medical device or an in vitro diagnostic under EU MDR (Regulation (EU) 2017/745) or IVDR (Regulation (EU) 2017/746).
The platform delivers epigenetic and biological aging analyses for wellness, research, and preventive health use. Outputs are non-diagnostic, do not provide medical claims, and are not intended to inform clinical decision-making without confirmation by certified IVD tests and clinical assessment by a licensed healthcare professional.
How does SystemAge ensure compliance, data security, and analytical quality?
SystemAge™ by Generation Lab operates to ISO/IEC 17025 standards, ensuring reliable, high-quality analysis. The platform follows GDPR- and HIPAA-aligned data protection principles and can be delivered as a white-label solution for scalable preventive health and longevity programs.
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Tissue Regeneration
NGF
SEMA6A
FGF1
NOTCH4
Full-Body Aging Insights
460
Biomarkers
19
Systems
1
Complete Profile
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Hepatic System (Liver)
KCNQ1
AHSG
GAK
GAKNOTCH4
Muscular System
KY
DMD
CACNA2D4
IL1RN
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Nervous System
GAK
CHD5
GRIN2D
Respiratory System
KCNQ1
TNF
CHRNA2
IGF2BP2
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
Fibrosis (Scar Tissue Formation)
NGF
PRDM16
LOXL3
COL23A1
Oncogenesis (Cell Mutation)
KCNQ1
NGF
FGF1
NOTCH4
