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Breast Cancer Prognosis using your 23andme BRCA1 raw data

Breast cancer prognosis is good when the cancer is detected earlier than when it is detected during the later stages of the disease. According to WHO, Breast Cancer is the most common malignancy among women, both in the developed as well as in the developing nations. Though this type of cancer is known to have a good prognosis, there are variations in survival, which is indicative of a genetic basis.

There have been considerable strides in developing candidate gene testing for breast cancer over the past 10 years with variants primarily identified in breast cancer susceptibility genes, microenvironment of the tumour and in genes associated with drug metabolism. Genome wide association studies have permitted the identification of gene variants that are located in genes which have never been associated with cancer susceptibility. The common breast cancer variant markers, commonly SNPs are found in the new v5 23andme chip. Hence it is possible to use your 23andme BRCA1 raw data to learn more about  breast cancer prognosis.

Genetic Testing for Breast Cancer Prognosis:

A study conducted on a Swedish family with affected first degree family showed a higher risk of mortality, indicative of a genetic basis. Women with breast cancer are found to have 60 to 80% higher risk of mortality when they have first degree relatives with poor prognosis than if they have relatives with good prognosis. The association with prognosis was more definitive when the cancer was detected at a young age. If you have already done an ancestry genetic report for your family all you have to do is upload the your raw data onto our tool to learn more about breast cancer prognosis. 

The host genetic makeup, apart from familial inheritance, plays an important role in the molecular profiling of the cancer subtype. Such differences could lead to altered molecular behaviour, affecting the prognosis of the patient.

Genetic susceptibility to certain cancers

In the Swedish study, there existed a smaller gap in the age at which the cancer was detected between sisters when compared with the age of diagnosis of breast cancer in the mother, suggestive of a larger genetic aspect in determining prognosis.

There is increasing evidence from research studies that specific gene variants are associated with specific types of cancer, which is, in turn, influence the survival of the individual. For example, BRCA1 is associated with early onset breast cancer, which is also associated with poor prognosis.

The gene variants carried by an individual could influence

This can be identified using your 23andme BRCA1 raw data.

Role of genetic variant implicated in breast cancer prognosis

One of the genetic variants associated with prognosis has been shown to regulate the expression of SNCG (Synuclein gamma) gene. Studies have shown that an increased expression of synuclein gamma is associated with an increase in the motility of cancer cells, contributing to their survival. This gene has also been implicated in late stage metastasis in breast and ovarian cancer.

Another genetic variant associated with prognosis is present near a gene which codes for a specific proteasome component. There is an increase in proteasome activity among tumor cells, associated with an increase in cell growth.

The biological associations of these genetic variants along with their association with prognosis in population studies, make them candidate genes for prognosis analysis.

Identifying the genetic variants that you carry will help in developing treatment strategies to improve prognosis. One study showed that hormone replacement therapy was associated with prognosis, while another study found that the number of pregnancies and the age at pregnancy was also associated with prognosis. Response to chemotherapy is also associated with genetic variants carried and this information can also be used to for a personalized treatment plan.

You can now find out if you carry the variants associated with breast cancer prognosis from Xcode’s Breast Cancer report by uploading your 23andme BRCA1 raw data or any other ancestry DNA raw data. You can read more about the Xcode Breast Cancer report here.

The FDA gave the go-ahead to 23andme in April of last year to provide information about an individual’s personal health risks. Now for an additional $100 23andme health report are available for more than 10 conditions.

The newly approved 23andMe health report focus on specific genetic variants related to 10 diseases or conditions:

Genetic Health Risk ReportWellness ReportTrait ReportCarrier Status Report
BRCA1/BRCA2 (Selected Variants)
Age-Related Macular Degeneration
Alpha-1 Antitrypsin Deficiency
Celiac Disease
G6PD Deficiency
Hereditary Hemochromatosis (HFE‑Related)
Hereditary Thrombophilia
Late-Onset Alzheimer's Disease
Parkinson's Disease
Alcohol Flush Reaction
Caffeine Consumption
Deep Sleep
Genetic Weight
Lactose Intolerance
Muscle Composition
Saturated Fat and Weight
Sleep Movement
Ability to Match Musical Pitch
Asparagus Odor Detection
Back Hair (available for men only)
Bald Spot (available for men only)
Bitter Taste
Cheek Dimples
Cilantro Taste Aversion
Cleft Chin
Earlobe Type
Early Hair Loss (available for men only)
Earwax Type
Eye Color
Fear of Heights
Finger Length Ratio
Freckles
Hair Photobleaching (hair lightening from the sun)
Hair Texture
Hair Thickness
Light or Dark Hair
Misophonia (hatred of the sound of chewing)
Mosquito Bite Frequency
Newborn Hair
Photic Sneeze Reflex
Red Hair
Skin Pigmentation
Sweet vs. Salty
Toe Length Ratio
Unibrow
Wake-Up Time
Widow's Peak
ARSACS
Agenesis of the Corpus Callosum with Peripheral Neuropathy
Autosomal Recessive Polycystic Kidney Disease
Beta Thalassemia and Related Hemoglobinopathies
Bloom Syndrome
Canavan Disease
Congenital Disorder of Glycosylation Type 1a (PMM2-CDG)
Cystic Fibrosis
D-Bifunctional Protein Deficiency
Dihydrolipoamide Dehydrogenase Deficiency
Familial Dysautonomia
Familial Hyperinsulinism (ABCC8-Related)
Familial Mediterranean Fever
Fanconi Anemia Group C
GRACILE Syndrome
Gaucher Disease Type 1
Glycogen Storage Disease Type Ia
Glycogen Storage Disease Type Ib
Hereditary Fructose Intolerance
Herlitz Junctional Epidermolysis Bullosa (LAMB3-Related)
Leigh Syndrome, French Canadian Type
Limb-Girdle Muscular Dystrophy Type 2D
Limb-Girdle Muscular Dystrophy Type 2E
Limb-Girdle Muscular Dystrophy Type 2I
MCAD Deficiency
Maple Syrup Urine Disease Type 1B
Mucolipidosis Type IV
Neuronal Ceroid Lipofuscinosis (CLN5-Related)
Neuronal Ceroid Lipofuscinosis (PPT1-Related)
Niemann-Pick Disease Type A
Nijmegen Breakage Syndrome
Nonsyndromic Hearing Loss and Deafness, DFNB1 (GJB2-Related)
Pendred Syndrome and DFNB4 Hearing Loss (SLC26A4-Related)
Phenylketonuria and Related Disorders
Primary Hyperoxaluria Type 2
Rhizomelic Chondrodysplasia Punctata Type 1
Salla Disease
Sickle Cell Anemia
Sjögren-Larsson Syndrome
Tay-Sachs Disease
Tyrosinemia Type I
Usher Syndrome Type 1F
Usher Syndrome Type 3A
Zellweger Syndrome Spectrum (PEX1-Related)

A few more conditions have been added under this category ever since like Glycogen storage diseases, Leigh’s syndrome, Bloom’s syndrome, Sickle cell anemia, Tay Sach disease, Phenylketonuria etc.

Other than disorders the 23andme health report also covers some heritable traits listed below:

Type 2 diabetes
Hypertension
Cardiovascular disease
Obesity
Thrombosis
Familial Hypercholesterolemia
Beta Thalassemia
Atrial fibrillation
Cardiomyopathy
Hypertriglyceridemia
Cystic fibrosis
Depression
Epilepsy
Psoriasis
Rheumatoid arthritis
Scoliosis
Chronic Obstructive Pulmonary Disease (COPD)
Non-Alcoholic Fatty Liver disease
Ulcerative Colitis
Stroke
Bone Mineral Density
Osteoarthritis
Anxiety
Depression
Gallstone disease
Glaucoma
Gout
Hemochromatosis
Anemia
Multiple sclerosis
Crohn’s disease
Osteoporosis
Age-related Macular Degeneration
Chronic Kidney Disease
Asthma
Vitiligo
Migraine
Alzheimer’s Disease
Parkinson’s Disease
Schizophrenia
Bloom’s Syndrome
Beta Thalassemia
Hemophilia
Glycogen storage disease
Alopecia Areata
Anorexia

However there are many more companies and online tools today who provide you with health information and you definitely don’t need a $100. The raw data that you receive after you take the ancestry genetic test from 23andme is your true treasure. Uploading it onto third party sites like Promethease, Xcode Life, Nutrahacker, Genetic Genie will give you information that both you and your specialist will find useful.

In contrast let’s look at what you get for $99 at Xcode Life:

Gene Nutrition

Understanding the functioning of your nutritional metabolism is a prerequisite to healthy living. The nutrition report will help you translate the results from your DNA test into actionable recommendations that are suited to your genetic nature. Upload your 23andme raw data establish unique nutrition goals, tailor a unique diet plan according to your genetic metabolism of macronutrients, requirements of micronutrients and food sensitivities.

Categories covered under Gene Nutrition:

Tendency To Overeat
Tendency To Prefer Fatty Foods
Tendency To Prefer Sweets
Tendency To Prefer Bitter Vegetables
Tendency To Gain Weight
Carbohydrate Intake And Weight Gain Tendency
Saturated Fats, Intake And Weight Gain Tendency
Mono Unsaturated Fats Intake And Weight Gain Tendency
PUFA Intake And Weight Gain Tendency
Protein Intake And Weight Loss Tendency
Fibre Intake And Weight Loss Tendency
Tendency To Regain Weight
Vitamin requirements
Calcium Needs
Choline Deficiency
Copper Needs
Iron Needs
Magnesium Needs
Phosphate Needs
Zinc Needs
Antioxidant Needs
Caffeine Metabolism
Alcohol Metabolism
Gluten Sensitivity
Lactose Intolerance
Salt Intake And Blood Pressure Sensitivity.

Gene Fitness

Optimizing your fitness routine requires a deep understanding of your body type. Without proper knowledge about yourself, you are bound to engage in lots of wasted effort through trials and errors. Studies have shown that a significant part of the athletic ability is inherited, meaning, its coded in the genes. Hence, understand your genetics makes a big difference in optimizing your fitness regimen according to your genetic nature. 

Categories covered under Gene Fitness:

Endurance
Power
Aerobic capacity
Heart Capacity
Lung Capacity
Handgrip strength
Tendon strength
Ligament strength
Exercise motivation
Likelihood of injury
Likelihood of fatigue
HDL cholesterol level with exercise
Insulin sensitivity with exercise
Weight loss or weight gain with exercise

Gene Allergy

More than 30% of the Indian population suffers from at least one allergic disease. Do not wait for a sudden reaction to an exposure to learn about your allergies. Know of your genetic sensitivities to the most common allergens and protect yourselves from the allergens. Allergens are everywhere and easily affect those who are genetically susceptible to allergies.

Categories covered under Gene Allergy:

Cockroach Allergy
Dust Mites Allergy
Pets Allergy
Egg Allergy
Milk Allergy
Peanut Allergy
Pollen Allergy
Histamine intolerance
Misophonia
Motion sickness

Gene Health

A comprehensive assessment comprising of an analysis of around 200 genes pertaining to hypertension, heart diseases, obesity and type 2 diabetes. All these conditions are genetically- and lifestyle-mediated,  and can be prevented by making appropriate dietary and lifestyle modifications. An early predisposition warning will help you from developing these conditions.

NOTE: These reports are to be interpreted only by your physician.

Categories covered under Gene Health:

Type 2 diabetes
Hypertension
Cardiovascular disease
Obesity
Thrombosis
Familial Hypercholesterolemia
Beta Thalassemia
Atrial fibrillation
Cardiomyopathy
Hypertriglyceridemia
Cystic fibrosis
Depression
Epilepsy
Psoriasis
Rheumatoid arthritis
Scoliosis
Chronic Obstructive Pulmonary Disease (COPD)
Non-Alcoholic Fatty Liver disease
Ulcerative Colitis
Stroke
Bone Mineral Density
Osteoarthritis
Anxiety
Depression
Gallstone disease
Glaucoma
Gout
Hemochromatosis
Anemia
Multiple sclerosis
Crohn’s disease
Osteoporosis
Age-related Macular Degeneration
Chronic Kidney Disease
Asthma
Vitiligo
Migraine
Alzheimer’s Disease
Parkinson’s Disease
Schizophrenia
Bloom’s Syndrome
Beta Thalassemia
Hemophilia
Glycogen storage disease
Alopecia Areata
Anorexia

Gene Skin

A genetic report for personalised and proactive skin care. Your skin type is unique in terms of its tone, collagen content, aging profile, oxidation, glycation among various other factors. Understanding genetic aspects of your skin helps you nurture it in the correct way.

Categories covered under Gene Skin:

Glycation protection
Contact Dermatitis
Atopic Dermatitis
Generalized Psoriasis
Rosacea
Dry Skin
Folate deficiency
Vitamin Deficiency
Skin Antioxidant capacity
Freckles/Ephelides
Sun spots/Lentigines
Tanning response
Wrinkle and Collagen degradation
Response to Cellulite
Striae Distensae/ Stretch Marks
Varicose Veins
Response to UV Radiation (UVR).

Precision Medicine

34% of all clinically significant drug interactions have a genetic basis. Get the right medications at the right dose. The precision medicine report helps you avoid  unnecessary side-effects from medications that may not work for you.The Xcode Precision Medicine report covers more than 150 drugs under various categories like cardiology, neuropsychiatry, antidiabetics and pain-related drugs.

NOTE: These reports are to be interpreted by your physician ONLY.

Methylation and MTHFR status

An MTHFR status report is one of the many indicators for identifying the risk of developing cardiovascular disease, or the risk for neural tube defects and sensitivity to methotrexate. This report profiles more than 70 known genetic polymorphisms in the MTHFR gene and related genes.

This test could help individuals presenting with the following conditions:

Coronary Artery Disease
Elevated Homocysteine
Bipolar Disorder
Schizophrenia
Peripheral Vascular Artery Disease
Acute Myocardial Infarction
Depression
Stroke
Venous Thromboembolism
Migraines
History of Preeclampsia
Neural Tube Defects
Recurrent Miscarriages
Autism Spectrum Disorders

Summary: 23andme health report is tuned towards informing an individual about rare diseases and physical and other characteristics. In contrast, Xcode Life health reports are designed to inform the individual about common and preventable health conditions (and  recommendations to prevent these), your unique nutritional metabolism and nutrient requirements, your genetic body type and the fitness regimen most suited to your genetics and much more. The focus of Xcode Life health reports is to empower the individual with information about their genetics that will help them live a healthy life.

Get the Xcode MegaPack ($99) for all the above reports and more!

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