🇮🇳 India's Most Advanced Breast Cancer Risk Tool

Your risk isn't random.
Find out in 2 minutes.

Most women don't know their real breast cancer risk. This tool goes beyond the standard calculator: it adds diabetes, physical activity, and real Indian data that Western tools miss.

Private & secure, no data stored

Takes ~2 minutes

Based on validated clinical models

~1 in 25 Indian women develop breast cancer: vs 1 in 8 in the US

AUC 0.70 Accuracy of the Indian-validated Snehita BRISK model (8,483 women)

20–30% Higher risk in women with diabetes, mainly after menopause: ignored by most standard tools

🇮🇳 Real Indian incidence data (NCRP 2020), not US/UK averages

🩸 Adds diabetes & insulin resistance risk: most tools skip this

🏃 Physical activity is included in the calculation

🔬 5-year, 10-year & lifetime risk, not just a single score

5-YEAR BREAST CANCER RISK

Answer questions to see your risk

RISK SCORES

5-Year

risk %

10-Year

risk %

Lifetime

to age 80

Rel. Risk

vs avg

Quick check before we begin

This tool is designed for women aged 25–75 who have never had breast cancer. Please select the option that best describes you.

What do the "RR" numbers mean throughout this calculator?

RR stands for Relative Risk: it compares your risk to an average Indian woman of the same age.
RR 1.0 = same as average · RR 2.0 = twice the average risk · RR 0.85 = 15% below average (protective).
A higher number means higher risk compared to average. The calculator multiplies all your RRs together to get your personal total.

Tell us about you

Your age and menstrual history shape how long your body has been exposed to estrogen: the key hormone that drives breast tissue growth.

How old are you?

years

Enter your age between 25 and 75

At what age did you get your first period?

Why this matters: Estrogen is the main fuel for breast cell growth. Every year of periods = another year of estrogen exposure. Girls who start earlier accumulate more estrogen-years over their lifetime, which slightly raises breast cancer risk.

Are your periods regular?

Why this matters: PCOS and irregular cycles cause estrogen to dominate without the balancing effect of progesterone, this persistent hormonal imbalance is linked to higher breast cancer risk in the Indian BRISK model.

Family & reproductive history

These are the heaviest factors in the Gail Model: your answers in this section carry the most weight in the calculation.

When was your first pregnancy that resulted in a live birth?

Why this matters: Pregnancy permanently changes breast cells into a more mature, cancer-resistant form. Having a first child before age 20 gives the strongest lifelong protection. Having children later (or never) leaves breast tissue in a less mature state for longer.

How many of your mother, sisters, or daughters have had breast cancer?

First-degree relatives only: that means your mother, full sisters, and daughters. These are the women who share the most DNA with you. Two or more affected relatives triggers an automatic genetic counselling recommendation in your results.

Have you ever had a breast biopsy?

Why this matters: A biopsy history is the single strongest risk factor in the Indian BRISK model (4.1× risk). This is true even for biopsies with benign (non-cancerous) results, because it signals that your breast tissue is biologically active.

Hormones & lifestyle

Breastfeeding, hormone treatments, and alcohol each directly affect estrogen levels in your breast tissue. Some increase risk; some are strongly protective.

How long have you breastfed in total (across all children)?

This is good news: Breastfeeding is one of the most powerful protective factors for Indian women. During breastfeeding, estrogen levels drop significantly. In the Snehita BRISK Indian study, women who breastfed for 24+ months had 60% lower breast cancer risk. Traditional Indian practice of extended breastfeeding is genuinely protective.

What is your menopause status?

Pre-menopausal

Your ovaries are still producing estrogen normally and you have regular monthly periods. Your ovaries are the main estrogen source: body fat does not yet play a significant role in breast cancer risk. Most Indian women in their 20s–early 40s are pre-menopausal.

BMI & waist modifiers = inactive in this calculator

Perimenopausal transition phase

Your ovaries are slowing down. Periods become irregular: sometimes heavier, sometimes missed, sometimes closer together. Estrogen fluctuates wildly rather than following its usual cycle. You may experience hot flushes, sleep disturbances, or mood changes. In Indian women, perimenopause typically begins around age 40–46 (earlier than the Western average of 47–50). This phase usually lasts 4–8 years.

Signs: skipped periods, heavier or lighter bleeds, hot flushes, night sweats, mood changes, sleep problems

Post-menopausal risk modifiers activate

Menopause is confirmed when you have had no periods for 12 consecutive months (without pregnancy or other medical cause). Your ovaries have stopped producing estrogen. In Indian women, the average age of natural menopause is 46.2 years, nearly 5 years earlier than the Western average of 51.4 years.

After menopause: body fat becomes your main estrogen source via aromatase. This is why BMI, waist size, and HRT use all activate as additional risk modifiers in this calculator for post-menopausal women.

Not sure which stage you're in? If your periods are still mostly regular → Pre-menopausal. If they've become unpredictable (but haven't stopped completely for 12 months) → Perimenopausal. If you haven't had a period in over a year → Post-menopausal. If you had a hysterectomy but your ovaries are intact, you may still be pre-menopausal: check with your doctor.

Have you used Hormone Replacement Therapy (HRT / MHT)?

The combined HRT pill (estrogen + progestin together) is the type that raises breast cancer risk. Estrogen-only HRT (for women without a uterus) has a different, smaller effect. This question covers the combined type.

Have you used the combined contraceptive pill (OCP)?

The combined pill (estrogen + progestin together) slightly raises breast cancer risk during use. This effect is small and fades completely within 10 years of stopping. The pill's contraceptive and health benefits still outweigh this small risk for most women, but we include it in the calculation. The mini-pill (progestin-only) and hormonal IUDs have a different risk profile not captured here.

How much alcohol do you drink?

There is no safe level of alcohol for breast cancer. Even light drinking (1 glass of wine a day) raises estrogen levels and makes cells more susceptible to DNA damage. This is one of the few fully modifiable risk factors.

Do you know your breast density from a mammogram? optional

Your mammogram report may mention BIRADS A, B, C, or D. This is important because dense breasts (C or D) carry 2–6× higher risk AND make mammograms less accurate, but this factor is NOT included in the Gail formula. We flag it separately in your results and screening plan.

Metabolic health & activity

This is where DietXP goes beyond every other calculator. Diabetes, body weight, and physical activity each independently drive breast cancer risk: through hormones you may not have heard of.

Your measurements optional but recommended

After menopause, body fat becomes your main source of estrogen. Fat tissue contains an enzyme called aromatase that converts other hormones into estrogen. The more abdominal fat you carry post-menopausally, the more estrogen your body produces. We calculate both BMI and waist size separately.

Height (cm)

Weight (kg)

Waist circumference (cm) optional Measured at belly-button level, stomach relaxed

Do you have Type 2 diabetes or insulin resistance?

The diabetes-breast cancer link most tools ignore: High blood sugar → high insulin → higher levels of IGF-1 → breast cells told to grow faster. India has 101 million people with T2DM (ICMR 2023): the world's 2nd highest burden. This makes the diabetes modifier uniquely important for Indian women.

How physically active are you?

Exercise directly reduces breast cancer risk through three separate pathways: it lowers estrogen levels, improves insulin sensitivity (reducing IGF-1), and strengthens immune surveillance of abnormal cells. Most calculators ignore this: we apply it directly to your risk number.

Optional, but adds accuracy

These extra questions improve the precision of your results. You can skip any you're unsure about: your risk will still be calculated from what you've already answered.

Any of these patterns in your family history? select all that apply

These specific patterns strongly suggest a hereditary cancer syndrome (like a BRCA mutation). They aren't in the standard Gail formula, but we use them to trigger a genetic counselling recommendation in your results. You can select more than one.

Results are population-level probabilities, not individual predictions. This calculator does not replace a clinical assessment. Please discuss your results with a doctor or specialist before making health decisions.

BREAST HEALTH NUTRITION

Reduce Your Risk

Evidence-based dietary and lifestyle guidance: anti-inflammatory nutrition, phytoestrogen balance, weight management, and personalised action plans (ESPEN/ASPEN guidelines).

Book a Consultation →

WHAT MAKES THIS DIFFERENT

Real Indian data (NCRP 2020)Not US or UK averages: Indian incidence rates for each age

Diabetes & insulin resistance riskMeta-analyses (Larsson 2007; Boyle 2012): most calculators skip this entirely

Physical activity as a calculated modifierWCRF/AICR 2018: applied to your actual risk number

5yr, 10yr & lifetime absolute riskCompeting hazard survival model, not just a relative score

Snehita BRISK (AUC 0.70)Indian risk model validated in 8,483 women: moderate accuracy

IMPORTANT LIMITATIONS

Gail Model accuracyC-statistic ~0.54: moderate. Good for population guidance, not individual certainty.

BRCA mutations not capturedSeverely underestimates BRCA1/2 carriers. Use Tyrer-Cuzick or BOADICEA instead.

Breast density not in GailBIRADS C/D adds 4–6× independent risk: we flag it but don't add it to the number.

First-degree relatives onlyGail uses mother/sisters/daughters: paternal or second-degree relatives not captured.

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⚕️ Clinical Disclaimer: Population-level risk estimates using the Modified Gail Model (Indian NCRP 2020 incidence rates) and Snehita BRISK model. Validated for women aged 25–75 with no personal history of breast cancer, no known BRCA mutation, and no prior chest radiotherapy. Risk estimates are probabilistic, not individual predictions. All results require physician interpretation. Screening decisions must be individualised by your doctor or specialist.

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Optional, but adds accuracy

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Optional, but adds accuracy

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