DNA Brick Wall Investigator

🧬 Genetic Voyage Research ToolV8.3 · iOS Fix

DNA Brick Wall Investigator

Turn your MyHeritage AutoCluster report into a research strategy. Upload the full HTML export and we calculate structural hierarchy (parent/child branches), filter out random ICW noise, and draw the visual correlation heatmap.

🌲 Branch Hierarchy Detection 🧽 ICW Noise Filter 🔥 Correlation Heatmap 🖱️ Actionable Click-Insights 🔮 MRCA Predictions
1 AutoCluster
2 Network Intelligence
3 Research Strategy
Your Brick Wall
Give the investigator enough context to distinguish a useful cluster from a cluster you already understand.
1. MyHeritage AutoCluster Report
This is the core input. For full Network Intelligence, upload the HTML export from MyHeritage/Genetic Affairs.
REQUIRED
📱 iPhone / iPad users: If you get an error when uploading a .html file, rename the file extension to .txt (e.g. report.txt) and upload it again. The content remains the same – iOS treats it as text and allows reading.
🧬
Import your AutoCluster HTML
Drop your AutoCluster HTML file here (or .txt if on iPhone)
Optional Evidence Enrichment
These are deliberately optional. Add them when you want to move from cluster intelligence toward candidate families.
OPTIONAL

Match Metadata

Add surnames, locations, tree information and other match metadata.

📋
Add metadata CSV

GEDCOM

Add your tree only after AutoCluster identifies an interesting cluster. GEDCOM is used for family-level evidence.

🌳
Add GEDCOM
AutoCluster Intelligence
Genetic Voyage has analyzed the structure of your AutoCluster report, applying noise-filters and computing hierarchical relationships.
Matches
Clusters
cM coverage
Tree coverage
Cluster Ranking & Predictions
This is a transparent research-prioritization score designed to answer: which cluster should I investigate first?
ClusterScoreHierarchy / RoleMatchesAvg / Max cMEst. MRCA DistanceDensityFingerprint
Interactive Ego-Network Map New in V8
👉 Click on any circle in the map to lock the selection and read a predictive genealogical insight about that specific person or external cluster. Noise has been filtered out.
Click on a node in the map to generate specific genealogical insights.
Cluster Correlation Heatmap New in V8
A visual matrix of how strongly clusters intersect. Dark cells mean no connection. Bright colors mean heavy match overlap. Diagonal cells show internal cluster density.
Genealogical Theories
Algorithms detecting structural and DNA patterns (like endogamy, branch splits, and generational gaps).
Leading Cluster Anchors
Cluster Fingerprint
The combination of DNA strength, trees, surnames, geography and network structure.
Bridge Matches
Matches that share DNA with people in more than one cluster (requires ≥3 shared connections).
Cluster Relatedness
The strongest cross-cluster signals detected in your data.
Next Best Research Action
Recommended next step
Candidate Families
Add GEDCOM enrichment to move from cluster intelligence to candidate-family analysis.
Data Quality

DNA Academy - Quick Answers

Simply enter the total centimorgan (cM) value you share with a match (e.g., 876 cM). Our calculator gives you an immediate probability list of relationships. For 876 cM, it might show 60% chance of grandparent, 30% of half-aunt/uncle, etc. This removes the guesswork when you see unfamiliar names in your match list.

Matches over 20 cM are generally considered genealogically useful. Matches under 10 cM are often “identical by chance” (IBC) and not from a recent ancestor. According to the ISOGG, we recommend focusing on matches > 50 cM for building your tree, as these are almost always valid. Test our calculator to see the probabilities.

A segment is a continuous stretch of DNA on a specific chromosome. Your total cM is the sum of all segments you share with a match. For example, you might share 120 cM spread across 4 segments (each on different chromosomes). Our calculator uses the total cM to determine relationship probabilities.

Yes! Our calculator includes half-relationships in its probability list. For example, 1,700 cM might show a 50% chance of grandparent and a 30% chance of half-sibling. The tool uses the latest Shared cM Project data to give you the most accurate probabilities, including half-aunt/uncle and half-first-cousin options. Try our calculator yourself.