Field Reports on Our Disease Prevention Panel

Experiences of people seeking advice

We have already been able to help many people with our Disease Prevention Panel. Click on the pictures and look at the testimonials of people seeking advice who have gained certainty about their genetic predisposition with our prevention panel and are now actively shaping their lives more healthily.

A Selection of Our Field Reports

Malika S., Module 01: Tumor Diseases
Paul P. has an increased risk of cardiac arrhythmia.

Paul P., Module 02: Cardiovascular Diseases
Martina S. hat ein erhöhtes Risiko für Thrombosen.

Martina S., Module 03: Thrombosis and Coagulation Disorders
Tamika K. has an increased risk of the iron storage disease hemochromatosis.

Tamika K., Module 04: Iron & Copper Storage Disorders
Patrick R. has an increased risk of high cholesterol levels.

Patrick R., Module 05: Hypercholesterolaemia
Bei Nina B. wurde ein erhöhtes Risiko für den Grünen Star festgestellt.

Nina B., Module 06: Glaucoma
Lucas C. was diagnosed with a predisposition to malignant hyperthermia by the screening panel.

Lucas C., Module 07: Malignant Hyperthermia
Isabel T. has created a pharmacogenetic profile with CeGaT's Module 08.

Isabel T., Module 08: Drug Metabolization
Markus G. has an increased risk of diabetes.

Markus G., Module 09: Diabetes
Lucy G. hat eine Variante im Gen OTC, die einen Ornithin-Transcarbamylase-Mangel (OTC-Mangel) auslösen kann.

Lucy G., Module 12: Genetic Prevention for Metabolic Defects in Adulthood
Sonja M. eine Variante im Gen PKD1, die zu einer polyzystischen Nierenerkrankung führen kann.

Sonja M., Module 13: Genetic Prevention for Kidney Diseases
Bei Alex R. wurde eine Variante im Gen LMNA gefunden, die zu einem erhöhten Risiko für dilatative Kardiomyopathien beiträgt.

Alex R., Module 14: Prevention with ACMG
Annika M. eine Variante im Gen APP festgestellt, die zu einem erhöhten Risiko für eine Demenz führt

Annika M.: Predictive Analysis for Dementia
Felix H. ein erhöhtes Risiko für Parkinson durch eine Variante im Gen PARK7 ergeben.

Felix H.: Predictive Analysis for Parkinson’s Disease

Malika S., Module 01: Tumor Diseases

Age: 26 years

Lifestyle: enjoys cooking, spends a lot of time with her family

Result: Our preventive diagnostics revealed an increased risk of tumors in Malika S. due to a variant in the PMS2 gene, which can cause tumors in the intestines, uterus and other organs.

Consequence: Malika S. now regularly attends close-meshed cancer screening examinations, as the chances of recovery are much better with early detection and treatment than if a tumor is discovered late. This includes, for example, colonoscopies and other screening examinations.

“Cancer prevention is an important topic in my environment. That’s why I had myself tested and know that I should have regular examinations for early detection. That way, I have better treatment options if I do develop a cancer.”

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Paul P., Module 02: Cardiovascular Diseases

Age: 42 years

Lifestyle: office work with low exercise, carnivore diet

Result: our preventive diagnostics revealed an increased risk of cardiac arrhythmia in Paul P. due to a variant in the SCN5A gene.

Consequence: Paul P. has contacted a cardiologist and goes for regular check-ups to start treatment early if necessary.

“In my genetic analysis, a variant was found that can cause cardiac arrhythmia. Since then, I’ve been going to the cardiologist regularly for check-ups and have adapted my physical activity and diet to this new situation.“

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Martina S., Module 03: Thrombosis and Coagulation Disorders

Age: 42 years

Lifestyle:  sedentary office work, little exercise

Result: Our preventive diagnostics identified an increased risk of thrombosis in Martina S. due to a variant in the PROC gene.

Consequence: Martina S. generally pays attention to a healthy lifestyle and tries to get more exercise. If she is without exercise for a longer period of time, e.g. on a long car journey or after an operation, she discusses the need for additional preventive measures with her internist to prevent thrombosis.

“I’m glad I did the test. Now I know that I have an increased risk of thrombosis and how I can counteract this in everyday life and when traveling.”

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Tamika K., Module 04: Iron & Copper Storage Disorders

Age: 24 years

Lifestyle: healthy diet, very active in sports

Result: our preventive diagnostics identified a variant in Tamika K.’s HFE gene, which increases the risk of the iron storage disease hemochromatosis.

Consequence: Tamika K. attends regular check-ups and, if necessary, receives treatment for hemochromatosis to avoid symptoms and, in some cases, irreversible organ damage.

“I was surprised to find out that I have a variant that can cause a condition called hemochromatosis. This condition causes an accumulation of iron in the liver. Fortunately, it is possible to treat the disease and thus avoid complications as far as possible.”

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Patrick R., Module 05: Hypercholesterolaemia

Age: 30 years

Lifestyle: normal diet, not a lot of exercise

Result: by sequencing Patrick R.’s genetic information, an increased risk for elevated cholesterol levels through a variant in the gene LDLR was found.

Consequence: Patrick R.  now has his blood fat values checked regularly. He pays attention to his diet and exercises regularly.

“I have experienced several heart attacks in my social environment, so I had my genes tested. The analysis showed that I have a change in the LDLR gene. Now I know what I need to do to prevent secondary diseases.“

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Nina B., Module 06: Glaucoma

Age: 37 years

Lifestyle: athletic, adventurous

Result: with our preventive diagnostics for Nina B., we identified an increased risk for glaucoma through a variant in the gene MYOC.

Consequence: Nina B. now has regular eye examinations. For example, her intraocular pressure and the back of her eye are examined in order to prevent visual field defects and maintain her vision.

“I have a genetic predisposition to glaucoma. That is why I now visit the ophthalmologist at regular intervals to have the condition of my eyes checked and, if necessary, to be able to intervene at an early stage.”

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Lucas C., Module 07: Malignant Hyperthermia

Age: 23 years

Lifestyle: normal diet, exercise in everyday life

Result: it was found in the Disease Prevention Panel that Lucas C. has a predisposition to malignant hyperthermia due to a variant in the RYR1 gene.

Consequence: Lucas C. now receives alternative narcotics during surgery to not trigger that life-threatening reaction.

“I wanted to have my DNA tested to get an overview of my health and my body. I was surprised to find out that I have a predisposition to this anesthetic complication, but of course I’m glad to know now. It’s great what you can find out with the latest technology.”

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Isabel T., Module 08: Drug Metabolization

Age: 42 years

Lifestyle: health awareness

Result: A pharmacogenetic profile was created for Isabel T., which provides information on how she metabolizes various medications. Among other things, the genotype SLC01B1*1/*5 was analyzed. This increases the probability of certain side effects, e.g. during the therapy with statins (a drug to decrease the level of cholesterol).

Consequence: Isabel T. is sensitized through the genetic predictive test for future therapies and the treating physician can make alterations in the current medication if necessary.

“Thanks to the pharmacogenetics analysis, I now know my risk of developing side effects from statins. If I need to lower my cholesterol levels with medication later on, my physician already knows exactly what to look out for when choosing the medication and dose.”

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Markus G., Module 09: Diabetes

Age: 35 years

Lifestyle: healthy diet, little exercise due to office work

Result: the preventive genetic test discovered a higher risk for diabetes (type MODY) for Markus G. due to a variant in the gene PDX1.

Consequence: Markus G. adapted his lifestyle. He pays attention to his diet and exercises two to three times a week. If necessary, he can be supported by medication.

“I was already sensitized to the topic of diabetes through my environment. I was therefore interested in finding out whether I was at an increased risk of developing it myself. With the Prevention Panel, I was able to determine that I have a predisposition to MODY diabetes even without symptoms. I now pay more attention to my diet and exercise more often. I also have my blood glucose level measured regularly as a precaution so that I can take early countermeasures with my doctor if I have elevated levels.“

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Lucy G., Module 12: Genetic Prevention for Metabolic Defects in Adulthood

Age: 27 years

Lifestyle: fond of traveling, conscious nutrition

Result: For Lucy G., our predictive diagnostics discovered a variant in the OTC gene, which can cause ornithine transcarbamylase deficiency (OTC deficiency).

Consequence: Lucy G. now regularly attends medical check-ups. If necessary, appropriate treatment can be started immediately and possible damage might be avoided.

„I am very happy to now know my genetic predisposition to OTC deficiency. I am aware that potential damage caused by the disease can be mitigated or even avoided altogether if I act in time.”

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Sonja M., Module 13: Genetic Prevention for Kidney Diseases

Age: 30 years old

Lifestyle: normal sleeping pattern, healthy diet

Result: our analysis revealed a variant in the PKD1 gene in Sonja M., which can lead to polycystic kidney disease.

Consequence: Sonja M. now regularly visits the doctor  and has her kidneys checked so that she can counteract any occurrence of the disease at an early stage and mitigate its progression.

„I am glad that I took the test. Now I can counteract a possible disease in good time. Also, my family can get tested to see if they have the same genetic predisposition. “

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Alex R., Module 14: Prevention with ACMG

Age: 25 years

Lifestyle: little exercise, smoker

Result: For Alex R., a variant in the gene LMNA was found that contributes to an increased risk for dilative cardiomyopathy.

Konsequenz: Alex R. now regularly attends check-ups with a cardiologist and has given up smoking. If necessary, measures can be taken at an early stage to mitigate the limitation in cardiac function.

“The test has opened my eyes to my increased risk for heart diseases. I am grateful to know this now and to be able to take countermeasures in time.”

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Annika M.: Predictive Analysis for Dementia

Age: 41 years

Lifestyle:regularly walks her dog

Result: our predictive diagnostics identified a variant in the APP gene in Annika M. that leads to an increased risk of dementia.

Consequence:Annika M. is sensitized to the topic of dementia and adapts her life planning to the circumstances..

“Thanks to the genetic analysis of predispositions to dementia, I now have certainty and feel prepared.”

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Felix H.: Predictive Analysis for Parkinson’s Disease

Age: 30 years

Lifestyle: sporty and adventurous

Result: for Felix H., our predictive diagnostics found an increased risk for Parkinson’s disease due to a variant in the gene PARK7, that can trigger an onset of Parkinson’s disease before the age of fourty.

Consequence: Felix H. regularly visits the doctor, to be able to take countermeasures at an early stage if necessary.

„The analysis of my genes has given me clarity about my genetic predisposition and sensitized me to the early detection of a possible disease. This makes me feel better prepared for the future.”

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You Are also Welcome to Take a Look at the Following Areas

Disease Prevention Panel

Genetic risk analysis for individual prevention

Genetic Prevention Knowledge Center

Further information related to genetic prevention

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