Saturday, March 7, 2026

03072026b example 2 (DNA)

 Here is an adapted version of the “two men with the same name” example, now focused on DNA evidence correlation in Zotero.zotero+1

Scenario: which John is the DNA match’s ancestor?

Research question: “Which of two men named John Clark in Okmulgee County is the most probable father of DNA test-taker A’s great-grandmother, based on autosomal DNA evidence plus documentary records?” You want Zotero to help you correlate DNA match clusters, segment data, and traditional records in a GPS-style workflow.libnet+1

  • Candidate 1: John Clark (born c. 1875), farmer north of town.

  • Candidate 2: John Clark (born c. 1880), railroad worker in town.

Step 1: Use a DNA-aware collection structure

Starting from the genealogy blueprint that already includes a DNA subcollection, you set up a case-study library or group.[forums.zotero]​

  • Library: Genealogy Projects / Case Studies (group or personal)

  • Top-level collection (family line): Clark Line – Okmulgee County

  • Case-study subcollection (copied 00–10 structure):[forums.zotero]​

    • 00 Research Control

    • 01 Identity & Hypothesis

    • 02 Birth & Baptism

    • 03 Marriage(s)

    • 04 Death & Burial

    • 05 Occupation & Residence

    • 06 Children

    • 07 Associates & FAN Club

    • 08 DNA & Genetic Evidence

    • 09 Conflicting / Excluded Evidence

    • 10 Correspondence & Notes

All DNA-related items (match lists, segment maps, cluster diagrams, correspondence about DNA, methodology articles) live in 08 DNA & Genetic Evidence, not scattered across the library.[forums.zotero]​

Step 2: Define DNA-focused tags

You keep the earlier person, event, and status tags, but add a DNA “type” dimension that aligns with the genealogy blueprint and DNA-correlation practice.libnet+1

Core tag categories:

  • Type tags (evidence kind):

    • type: DNA

    • type: DNA match list

    • type: segment data

    • type: cluster report

    • type: tree analysis

  • Person and line tags (who and which line):

    • P:Clark, John (1875– ) – farmer

    • P:Clark, John (1880– ) – railroad

    • P:Tester A (Ancestry)

    • P:Tester B (FTDNA)

    • line: Clark – Okmulgee

  • GPS/workflow tags (status, as in the blueprint):[forums.zotero]​

    • gps: collect – raw data captured, not yet evaluated

    • gps: analyse – under active analysis

    • gps: conflict – conflicting DNA vs documentary evidence

    • gps: resolve – correlation and argument in progress

    • gps: proof – finished proof-level interpretation

  • Relationship / hypothesis tags:

    • hyp: John 1875 is ancestor

    • hyp: John 1880 is ancestor

    • cluster: Clark-Okmulgee

    • cluster: FAN – railroad

Every DNA item gets at least one type tag, one line tag, and one GPS tag, mirroring the “every item has type, status, line” rule in the Zotero genealogy framework.[forums.zotero]​

Step 3: Add sample DNA items into Zotero

You illustrate this in training with a small, realistic set of DNA evidence items.

  1. AncestryDNA match list (CSV export, screenshot, or PDF of 4–5 key matches)

    • Item type: “Document” or “Report”

    • Collection: 08 DNA & Genetic Evidence

    • Tags: type: DNA match list, P:Tester A (Ancestry), line: Clark – Okmulgee, gps: collect

  2. Shared match cluster report from a third‑party tool (e.g., cluster diagram or PDF)

    • Tags: type: cluster report, cluster: Clark-Okmulgee, P:Tester A (Ancestry), line: Clark – Okmulgee, gps: analyse

  3. Segment map screenshot (chromosome browser showing overlapping segments for matches in the Clark cluster)

    • Tags: type: segment data, cluster: Clark-Okmulgee, P:Tester A (Ancestry), P:Tester B (FTDNA), gps: analyse

  4. DNA-method article you rely on (e.g., genetic-genealogy proof examples)

    • Collection: 08 DNA & Genetic Evidence

    • Tags: type: DNA methodology, line: Clark – Okmulgee, gps: collect

  5. Extracted match summary for a key test-taker whose tree descends from John Clark (1875)

    • Item: a separate Zotero “Document” summarizing that match, with a link back to the original match list.

    • Tags: type: tree analysis, P:Tester A (Ancestry), P:Clark, John (1875– ) – farmer, line: Clark – Okmulgee, gps: analyse, hyp: John 1875 is ancestor

You can explain that DNA screenshots or exports are treated just like any other source: they get item entries with citations, tags, and notes, not just saved as loose image files.[static.libnet]​

Step 4: Link DNA items to documentary evidence

Using the “Related Items” rules from the genealogy blueprint, you connect DNA evidence to the people and records it illuminates.[forums.zotero]​

Examples:

  • The cluster report item is linked (“Related Items”) to:

    • Tester A’s DNA test item

    • Key matches’ summary items

    • Documentary sources for the matches’ ancestors (census, marriages, obituaries for descendants of John 1875).

  • A segment map item is linked to:

    • Each match summary item appearing on that segment

    • The note you will use for DNA correlation (“Evidence Correlation – Clark DNA cluster”).

  • Match summary items for descendants of John 1875 are linked to:

    • That John’s core documentary sources (e.g., 1900 census, land records)

    • The Identity & Hypothesis note for John 1875 in 01 Identity & Hypothesis.[forums.zotero]​

You can show your audience how a click on “Related” in the Zotero right-hand pane turns DNA evidence into an integrated network of sources rather than a pile of screenshots.libnet+1

Step 5: Use saved searches to drive DNA analysis

You build saved searches focused specifically on DNA evidence, borrowing the “DNA Evidence” view from the published blueprint.[forums.zotero]​

Example saved searches:

  1. “All DNA evidence – Clark line”

    • Conditions: Tag contains type: DNA AND Tag contains line: Clark – Okmulgee

  2. “Clark DNA cluster – analysis in progress”

    • Conditions: Tag contains cluster: Clark-Okmulgee AND Tag contains gps: analyse

  3. “DNA supporting John 1875 hypothesis”

    • Conditions: Tag contains hyp: John 1875 is ancestor AND Tag contains gps: analyse OR gps: proof

  4. “DNA conflicts”

    • Conditions: Tag contains gps: conflict

Running “DNA supporting John 1875 hypothesis” side-by-side with a saved search for documentary evidence for John 1875 (e.g., tag P:Clark, John (1875– ) – farmer) lets you visually demonstrate correlation: you can see both types of evidence sets in parallel, filtered by the same person/line tags.[forums.zotero]​

Step 6: Structure correlation and proof notes

You now adapt the note templates in the blueprint specifically for DNA correlation.[forums.zotero]​

  1. Evidence Correlation note (stored in 00 Research Control):

    • Title: Evidence Correlation – Clark DNA Cluster vs. Two Johns

    • Template sections (per the blueprint):[forums.zotero]​

      • Sources Compared: list DNA items (match list, cluster report, segment map, match summaries) and key documentary sources (census, land, probate).

      • Extracted Facts: bullet each relevant DNA fact (e.g., cM range, estimated relationship, shared matches’ tree lines) and corresponding documentary facts.

      • Agreements: where DNA and paper both point to John 1875 or John 1880.

      • Discrepancies: e.g., cluster members whose trees point to a different Clark line.

      • Resolution / Interpretation: narrative explanation that weighs the DNA and documentary evidence.

    • Tags: type: DNA, gps: resolve, line: Clark – Okmulgee

  2. Proof Summary note (also in 00 Research Control):

    • Title: Proof Summary – Which John is Tester A’s Ancestor?

    • Sections as suggested in the blueprint:[forums.zotero]​

      • Research Question

      • Summary of Evidence (documentary + DNA)

      • Analysis & Correlation (explicitly referencing the cluster and segment interpretation)

      • Conflict Resolution

      • Conclusion

    • Tags: type: DNA, gps: proof, line: Clark – Okmulgee, hyp: John 1875 is ancestor

You can show students how these notes act as the “bridge” between the DNA sources and the final proof argument they might publish or present.

Step 7: Move DNA items through GPS status

In your training session, demonstrate updating GPS tags as analysis proceeds.[forums.zotero]​

  • Start: most DNA items tagged gps: collect.

  • After an initial pass: change key cluster and segment items to gps: analyse.

  • When you identify conflicts (e.g., a match appears in the cluster but documents to the other John), tag those items gps: conflict and optionally add hyp: John 1880 is ancestor.

  • After you finish your correlation note and feel ready to write: set the correlation note and supporting match summaries to gps: resolve.

  • When your proof summary is drafted and ready, tag it (and the most critical DNA items) gps: proof.

A saved search such as “DNA Evidence – gps: proof” becomes your quick “bundle” of sources and narrative you need for sharing with cousins, reviewers, or a client.[forums.zotero]​

How to teach this in a session

For a class built around DNA:

  1. Introduce the research question and show the 00–10 structure with 08 DNA & Genetic Evidence.[forums.zotero]​

  2. Add one or two DNA items live (e.g., a small match list PDF and a cluster image) and tag them with type, GPS, line, and person tags.

  3. Build the “DNA Evidence – Clark line” and “Clark DNA cluster – analysis in progress” saved searches.

  4. Create a short “Evidence Correlation – Clark DNA Cluster” note and link it to the DNA items and to a couple of documentary sources for John 1875 and John 1880.[forums.zotero]​

  5. Update GPS tags from gps: collect to gps: analyse and gps: resolve so your audience sees how Zotero reflects progress in DNA correlation, not just storage.

Would it help if I next create a one‑page slide/handout outline that contrasts the “documentary-only” John Clark case with this DNA-focused version side-by-side

Here’s a one‑page style outline you can drop into a handout or slide for the DNA correlation example.

Zotero Case Study: DNA Evidence for Two Men Named John Clark

1. Research Question

  • Which John Clark in Okmulgee County is the most probable ancestor of Tester A’s great‑grandmother?

  • Goal: Correlate autosomal DNA (matches, clusters, segments) with documentary evidence (census, land, probate, etc.) to reach a GPS‑style conclusion.

2. Library & Collection Setup

  • Library: “Genealogy Projects / Case Studies”

  • Family line collection: Clark Line – Okmulgee County

  • Case‑study subcollection (00–10 pattern):

    • 00 Research Control

    • 01 Identity & Hypothesis

    • 02 Birth & Baptism

    • 03 Marriage(s)

    • 04 Death & Burial

    • 05 Occupation & Residence

    • 06 Children

    • 07 Associates & FAN Club

    • 08 DNA & Genetic Evidence

    • 09 Conflicting / Excluded Evidence

    • 10 Correspondence & Notes

3. Tagging Scheme (Core Pieces)

Person & line tags

  • P:Clark, John (1875– ) – farmer

  • P:Clark, John (1880– ) – railroad

  • P:Tester A (Ancestry)

  • line: Clark – Okmulgee

DNA type tags

  • type: DNA

  • type: DNA match list

  • type: segment data

  • type: cluster report

  • type: tree analysis

GPS / workflow tags

  • gps: collect – captured, not yet evaluated

  • gps: analyse – under active analysis

  • gps: conflict – conflicting DNA vs paper trail

  • gps: resolve – correlation in progress

  • gps: proof – ready for proof summary

Hypothesis / cluster tags

  • hyp: John 1875 is ancestor

  • hyp: John 1880 is ancestor

  • cluster: Clark-Okmulgee

Every DNA item gets: at least one type tag, one line tag, one GPS tag, and person/cluster/hypothesis tags as needed.

4. Example DNA Items in Zotero

  1. Ancestry match list (PDF/CSV)

    • Collection: 08 DNA & Genetic Evidence

    • Tags: type: DNA match list, P:Tester A (Ancestry), line: Clark – Okmulgee, gps: collect

  2. Cluster diagram/report

    • Tags: type: cluster report, cluster: Clark-Okmulgee, P:Tester A (Ancestry), line: Clark – Okmulgee, gps: analyse

  3. Segment map screenshot

    • Tags: type: segment data, cluster: Clark-Okmulgee, P:Tester A (Ancestry), gps: analyse

  4. Match summary for a key cousin descending from John (1875)

    • Tags: type: tree analysis, P:Tester A (Ancestry), P:Clark, John (1875– ) – farmer, line: Clark – Okmulgee, gps: analyse, hyp: John 1875 is ancestor

5. Saved Searches (Views)

Create named saved searches such as:

  • “DNA – Clark line (all)”

    • Tag contains type: DNA AND Tag contains line: Clark – Okmulgee

  • “Clark cluster – analysis in progress”

    • Tag contains cluster: Clark-Okmulgee AND Tag contains gps: analyse

  • “DNA supporting John 1875”

    • Tag contains hyp: John 1875 is ancestor AND (Tag contains gps: analyse OR gps: proof)

  • “DNA conflicts”

    • Tag contains gps: conflict

Use these live to show how the same library can present “all DNA,” “this cluster only,” or “evidence for this hypothesis.”

6. Notes for Correlation and Proof

Evidence Correlation note

  • Location: 00 Research Control

  • Title: Evidence Correlation – Clark DNA Cluster vs. Two Johns

  • Sections:

    • Research question

    • Sources compared (DNA + documents)

    • Extracted facts (cM, relationships, lines)

    • Agreements (DNA + paper point to same John)

    • Discrepancies (outliers, conflicting trees)

    • Interpretation (weighing all evidence)

  • Tags: type: DNA, gps: resolve, line: Clark – Okmulgee

Proof Summary note

  • Location: 00 Research Control

  • Title: Proof Summary – Which John is Tester A’s Ancestor?

  • Sections:

    • Question

    • Summary of evidence

    • Analysis & correlation

    • Conflict resolution

    • Conclusion

  • Tags: type: DNA, gps: proof, line: Clark – Okmulgee, hyp: John 1875 is ancestor

7. Teaching Flow (For Your Session)

  1. Present the research question (two Johns, DNA needed).

  2. Show the 00–10 collection structure with 08 DNA & Genetic Evidence.

  3. Add one DNA item live; apply person, line, type, and GPS tags.

  4. Build one saved search (e.g., “DNA – Clark line”).

  5. Create a short Evidence Correlation note and link it to the DNA items and one or two documentary sources.

  6. Update GPS tags (collect → analyse → resolve) so participants see how Zotero reflects progress, not just storage.

Would you like a matching one‑page outline for the “documentary‑only” John Clark example so you can give attendees two parallel handouts?

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