Why family health

Family health history unlocks
your longevity.

Your family's health is the most personal data you have, and the most powerful tool you have for protecting the years ahead. Here is what the evidence actually shows, and how Kinvera turns it into the prevention plan that is truly yours.

The headline finding

Family history is the most validated non-modifiable risk signal we have.

Across cardiovascular disease, cancer, Alzheimer's, type 2 diabetes, PCOS, and the long tail of chronic conditions, the literature has converged on a single conclusion. First-degree relatives roughly double an individual's lifetime risk for most major chronic diseases. Multiple affected relatives multiply that risk non-linearly.

And yet only a fraction of adults are receiving the full set of preventive services that could catch what their family history predicts.

94.7%
of U.S. adults aged 35 and older do not receive all recommended high-priority preventive services
Healthy People 2030 · ODPHP
The evidence base

Family history multiplies risk. Across every disease we screen for.

Six representative findings from the peer-reviewed literature, spanning cardiology, oncology, neurology, and endocrinology. Relative risks (RR) compare to population baseline.

Alzheimer's
RR 21
One first-degree relative plus two second-degree relatives affected. The strongest published constellation effect in any disease category.
Cannon-Albright, Neurology 2019
Cardiovascular
Up to 12×
Multiple affected relatives combined with early onset. A parent with premature CVD alone raises risk 60 to 75 percent.
UT Southwestern 2023 · Lloyd-Jones, JAMA 2004
Colorectal cancer
First-degree relatives of early-onset cases. Second-degree relatives still confer 3.1 times the baseline risk.
Utah Pedigree Database, 2021
Breast cancer
Two affected first-degree relatives. A single FDR diagnosed under age 40 raises risk for contralateral breast cancer by more than 3 times.
Swedish Family-Cancer Database
Type 2 diabetes
70%
Lifetime risk when both parents are affected. A 7.3-million-person cohort confirms the dose-response across degrees of relation.
Sweden 7.3M cohort · NHANES
PCOS
h² = 0.70
Heritability score from the Dutch twin study, among the highest in endocrinology. Sisters of women with PCOS show a 61% prevalence rate.
Vink et al., JCEM 2006
The calculator gap

Six standard risk calculators. None capture the full signal.

The physician formulas that determine when you start screening, how often, and what for, either ignore family history entirely or reduce it to one binary checkbox.

Calculator Year Used for Family history captured
Framingham Risk Score 1998 Cardiovascular None
ASCVD Pooled Cohort Eqs. 2013 Cardiovascular None
PREVENT (AHA update) 2024 Cardiovascular None
Gail / BCRAT 1989 Breast cancer 1 FDR, yes/no only
FINDRISC / ADA Risk Test 2003 Type 2 diabetes Parent or sibling, yes/no
QRISK3 2017 Cardiovascular (UK) 1 FDR <60, yes/no
What none of them capture

Number of affected relatives, age of onset beyond one threshold, second-degree relatives, maternal versus paternal lineage, or constellation patterns.

What this means in practice

Three structural reasons family history does not make it into your care.

Time. Constructing a multi-generation pedigree takes 15 to 20 minutes. The average primary care visit is 15 minutes total. The math does not work.

Structure. When family history does get documented, it lives as free text buried in clinical notes. It cannot feed risk-prediction formulas. It cannot trigger automated screening reminders. The data exists in a format the system cannot use.

Lag. The 2024 PREVENT update, presented as a major modernization, still does not include a family history field. The clinical evidence base is decades ahead of the tooling that is supposed to act on it.

The result is a population of patients receiving screening recommendations calibrated for someone else's risk profile. That is the gap Kinvera fills.

How Kinvera closes it

The platform built around the data the system cannot capture.

01 · Map

A collaborative family health map.

Family members contribute conditions, diagnoses, and ages of onset across maternal and paternal lineages. Built for asynchronous contribution from any device, no app download required for invited family members.

02 · Translate

A personalized prevention dashboard.

A rules-based engine draws from USPSTF and ACS guidelines, applies family-history modifiers, and surfaces what is overdue, due soon, and on track. Every recommendation cites the triggering relative and the guideline source.

03 · Act

A physician-ready export.

One document that summarizes your family health history and screening status for any clinical visit. The data your doctor's intake form was never built to capture, formatted for the chart.

Map yours

The evidence is there. Now the tooling is, too.

Start your family health map in five minutes. The collaborative map is free for everyone, permanently.

Start your map Want to see the full clinical evidence base? Review our sources.