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Gene based diagnosis of Type 2 Diabetes-deCODE T2™

deCODE T2 TM is a DNA-based test designed to help individuals, working with their doctor, better understand their risk of type 2 diabetes (T2D) and to enable more effective prevention strategies. It defines genetic risk for T2D, independent of family history and obesity, that ranges from 0.6 to 2 fold the general population risk.

Understanding risk can empower prevention. By knowing and understanding genetic risk, it may be possible to take actions that reduce or minimize the likelihood of an individual developing diabetes. In addition to predicting or recalculating the remaining lifetime risk of developing T2D, the test results can predict the likelihood of prediabetes coverting to the full blown T2D and which patients may benefit the most from preventive management.

Type 2 diabetes is a chronic condition that develops when the body either becomes resistant to or doesn’t secrete enough insulin.

deCODE T2 is a test to detect versions of SNPs (single nucleotide polymorphism), a one letter variations in the sequence of the genome, that predict

  • the risk of developing T2D
  • the risk of converting from prediabetes (impaired fasting blood sugar and glucose tolerance test) to full blown T2D
  • who are candidates for the most aggressive preventive measures
  • what medication may be most effective for treatment
deCODE T2TM is a risk assessment test but not a determinate test about who will or will not get T2D or respond or not respond to preventive measures or treatment.

Knowing one's increased risk of developing T2D according to the deCODE T2 TM results should act as motivation for individuals to be more compliant with suggested life style changes and weight loss recommendations by their physicians. For patients who fail to lose significant weight within 6 months, high risk prediabetics may benefit the most from nutritional advice and more aggressive lifestyle intervention. Finally, high risk prediabetics who still fail to respond to lifestyle intervention, may be prime candidates for metformin as suggested by the latest ADA recommendations (Standards of medical care in diabetes--2008. Diabetes Care, 2008. 31 Suppl 1: S12-54). You may wish to consult with your physician regarding specific alternatives for high risk prediabetics.

 

Gene based diagnosis of Myocardial Infarction-deCODE MI™

deCODE MI™ is a DNA-based test for assessing an inherited risk factor for myocardial infarction (MI). The test detects versions of SNPs (single nucleotide polymorphism) – single letter variations in the sequence of the genome – in a region of the genome that deCODE has linked to increased risk of MI.

The medical term for heart attack is myocardial infarction. A heart attack is also sometimes called a coronary artery thrombosis or coronary artery occlusion.

Common diseases such as MI occur at the interface of genes and the environment, as both inherited as well as lifestyle and other health risk factors play important roles in the disease process. As a result, it is important to understand what carrying an inherited risk variant for a common disease means, and how that information can help to keep a predisposition to a given condition from ever developing into a disease.The deCODE MI™ test detects versions of SNPs (single nucleotide polymorphism) – single letter variations in the sequence of the genome – in a region of the genome that deCODE has linked to increased risk of MI.

The conventional risk factors for MI and other atherosclerotic diseases include high serum total cholesterol levels, elevated serum LDL cholesterol, and low serum HDL cholesterol, cigarette smoking, diabetes, hypertension, and obesity. Despite increased knowledge of the specific risk factors and the wide-spread use of medications that inhibit thrombosis (aspirin) or treat medical risk factors, such as elevated cholesterol levels in blood (statins), diabetes or hypertension, the prevalence of atherosclerotic disease continues to be high. This is largely attributed to the aging of the population and the increase in the prevalence of modifiable risk factors in large segments of the population.


Gene based diagnosis of Glucoma-deCODE Glaucoma™

The deCODE Glaucoma™ test detects versions of SNPs (single nucleotide polymorphism) – single letter variations in the sequence of the genome – in a specific gene that deCODE has linked to increased risk of one of the more common types of glaucoma, exfoliation type glaucoma.

The medical term “Glaucoma” refers to a group of eye diseases affecting the major nerve of vision, called the optic nerve. The optic nerve receives light from the retina and transmits impulses to the brain perceived as vision. The symptoms of glaucoma present as a result of a particular pattern of progressive damage to the optic nerve that generally begins with a subtle loss of side vision (peripheral vision). If glaucoma is not diagnosed and treated, it can progress to loss of central vision and blindness.

Common diseases such as glaucoma occur at the interface of genes and the environment, as both inherited as well as other health risk factors play important roles in the disease process. As a result, it is important to understand what carrying an inherited risk variant for a common disease means, and how that information can help to keep a predisposition to a given condition from ever developing into a disease. deCODE Glaucoma™ is a reference laboratory DNA test for assessing an inherited risk factor for exfoliation glaucoma.


Gene based diagnosis of Prostate Cancer-deCODE ProCa™

The deCODE ProCa ™ test is a novel, non-invasive, DNA-based test for the first genetic risk factors ever found to confer risk for a common type of cancer in the general population. These markers are not dependent on a family history of prostate cancer – in fact, they are independent of family history and the genetic risk of the ProCa test multiples with the family risks mentioned above. All but one of the variants were discovered in Iceland and confirmed in several American and European ancestry cohorts but have also been confirmed in several other populations by independent research groups.

Prostate cancer is the most commonly diagnosed non-skin cancer in men in developed countries and the second leading cause of cancer death, after lung cancer, among men in the United States. It carries a lifetime risk of 16% and a mortality of 3% in the general population. The risk is generally higher for men of African-American heritage, for men with affected fathers and/or brothers, and for those with relatives diagnosed at younger ages. A family history of breast or ovarian cancer can also be a risk factor, as the diseases share a common genetic mutation.

Almost 95 percent of prostate cancers are adenocarcinomas, cancers originating in the prostate´s gland cells. Most prostate cancers grow very slowly, improving the chances of early detection, diagnosis, treatment and survivability. Early detection is the key to overcoming prostate cancer; the five-year survival rate among men whose prostate cancer is caught early is 100 percent.


The deCODE ProCa™ test identifies eight known variants, three on chromosome 8 two on chromosome 17 one on chromosome 2 (in the 2p15 region), one on chromosome 11 and one on the X-chromosome (sex chromosome). Based on the presumption that these markers are independent of each other, and the individual risks therefore multiply, the various genotype combinations have associated relative risks in the range of 0.33to 17.6) compared to the general population risk. Combined, these 8 variants appear to account for about half of the cases of prostate cancer (sometimes termed population attributable risk). About 40% of the population has a genotype combination of the tested markers that have an increased relative risk (>1) over the general population and about 10% of the population has a genotype combinations that confer an average two-fold relative risk, and about 1% have relative risk above 3. One should be careful to apply extreme risk results to individuals since they are based on presumptions of a multiplicative model and are associated with genotype combinations that are extremely rare. Note that deCODE ProCa™ only measures these 8 validated genes. There are likely other genes that have not yet been discovered and there are other risk factors such as family history and ethnicity that need to be multiplied to this genetic risk to refine an individual’s risk.



Gene based diagnosis of Breast Cancer-deCODE Breast Cancer

The deCODE Breast CancerTM test is a novel, DNA-based reference laboratory test for the first common genetic risk factors to be identified that contribute to a substantial proportion of female breast cancers in the general population.

The deCODE BreastCancerTM test determines whether the subject has inherited the risk or non-risk version at 7 different variable sites in the human genome. By comparing deCODE BreastCancer™ test results to the general risk of women in the population it can be seen whether the person tested has a risk greater or lower than the average population risk. The risks at each of the 7 markers are multiplied together to define combined risks from 0.4-to 4.0- fold the relative general population risk. The deCODE BreastCancerTM test examines only genetic risk factors, so other factors such as age and hormonal factors need also to be taken into account. By combining the test results and risks associated with other known risk factors, a more complete lifetime risk estimate can be generated.

The test is done on the DNA isolated from an inner cheek or a blood sample, and it looks at 7 marker variants (SNPs, single nucleotide polymorphisms) in the genome that people inherit from their parents and have been associated with increased risk for breast cancer. These variations are very common in the population but have been shown to affect a woman’s risk of getting breast cancer. The test’s validity in identifying risk for breast cancer has been confirmed in a number of large, multinational studies including more than 10,000 patients and 30,000 controls.

According to the test results, only about 5% of women have an average 2-fold risk for breast cancer compared to the general population, and about 1% have a 3-fold risk. This translates for white women to a lifetime risk of 24% and 36%, respectively, versus the average population-based risk of 12%. It is estimated that these 7 markers together account for 60% of breast cancer (population attributable risk).

Breast cancers can be classified as either estrogen receptor positive (ER+) or estrogen receptor negative (ER-), depending on whether they contain certain proteins that allow the cancer to respond to the female sex hormone estrogen, which can make the breast tissues more susceptible to hormonal risk factors and drive small tumors into larger tumors. Several of the genetic variants examined by the deCODE BreastCancerTM test affect the chance that a breast tumor, if it arises, will be ER+ or ER-. At the same time, ER+ tumors may be more amenable to prevention by drugs that target the estrogen pathway, such as tamoxifen.

The deCODE BreastCancerTM test does not test for what is generally referred to as familial or inherited forms of breast cancer caused by rare mutations in breast cancer genes such as BRCA1, BRCA2, TP53, and PTEN. These mutations confer extremely high risks of breast cancer and occur only in rare families that may have exceptionally high numbers of breast cancer cases, often arising in younger women and sometimes along with ovarian cancer. Mutations in these genes need to be tested for separately under the guidance of a genetic counselor. However, for individuals who are known to carry mutations in these genes, the deCODE BreastCancerTM test provides additional information on their overall risk of breast cancer since some of the test markers are shown to influence the effect of these rare breast cancer gene mutations.

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