Where Will Your Roots Map Take You?

A couple of years ago I was looking at a map I bought while on vacation in Italy. I realized all my ancestral hometowns fit into a small area of the map. My roots are extremely concentrated. They're all in one province (that's like a county in the U.S.), with one exception that's just over the border.

Here's the part that amazes me. My grandparents and one set of great grandparents met and married in America. But their roots were in neighboring towns in Italy. You may have similar stories in your family tree. Of course immigrants felt comfortable in neighborhoods where everyone spoke the same language. And they felt even more comfortable when their neighbors spoke the same dialect. Imagine how much that helped them make the transition to their newly adopted country.

Generating Your Roots Map

This week I wanted to see a visualization of not only my ancestors' towns, but all their birthplaces on the map. I turned to a program I tested 2 years ago: Microsoft's Power BI Desktop. (BI stands for Business Intelligence.) If you want to try this, see the 5 steps further down in this article. But here's how easy it is to create the map once you're in Power BI:

1. Click the Map icon (which looks like a globe) and expand the graphic to fill the workarea.
2. Drag the FactType field into the Filters column and check Birth in the list.
3. Drag the SortableLocation field and drop it in the Location section of the Visualizations column.

Those 3 steps gave me 18,947 blue dots on my world map. (That's how many people are in the GEDCOM file I'm using.) I see a ton of dots covering the New York City area and scattering over to the Midwest where Dad was born. Italy is positively overrun with blue dots.

Each datapoint in your family tree can generate more research leads.

I can use the scroll wheel on my mouse to zoom in on Italy. There I can see a huge cluster of blue dots from Naples in the west to Foggia in the east. I love this visual. This is the cradle of my civilization.

If you'd like to create this map for your roots, all the software is free. The only caveat is you must be using a Windows computer. Here's what to do:

1. Download and install the free Microsoft program at https://powerbi.microsoft.com/en-us/desktop.
2. Export a GEDCOM from your family tree program or website. You may want to filter your export to your blood relatives (your ancestors and all their descendants) or only your direct ancestors.
3. Open your GEDCOM with Family Tree Analyzer (https://ftanalyzer.com) and choose to Export Facts to Excel. (It will actually be a CSV file.)
4. Open the CSV file to see if there are any columns you don't want. I noticed start date and end date columns, and 2 columns up front, that I decided to delete. Save your changes.
5. Launch Power BI Desktop and choose to Get Data from your CSV file.

Now you're ready to create your map by following the 3 steps I outlined at the top of this article. It makes me proud to have such a tight cluster of roots. Having clusters all over the world might make your existence more of a miracle.

Following the Trail Wherever It May Lead

My Italian cluster is why I spend all my time indexing and exploring vital records from these towns. Even if someone is in my tree due to marriage only, they are me. They're all me.

I'm even expanding into other neighboring towns. I was trying to track down the family of a DNA match when I realized her ancestor's last name exists in the next town. I started scouring that town and found her ancestor's 1842 birth record. And I saw a handful of familiar last names there.

The nearby dots, towns next to your ancestral towns, hint at future family tree research.

I have more than enough towns and data to keep me exploring and discovering for the rest of my life.

Are your map clusters telling you to research a new town? Look for nearby dots on your map. Maybe your ancestor married someone from the next town. It may be time to expand your search.

How to Deal with the Worst Document Handwriting

Discovering where my 2nd great grandmother was born was a genealogy victory. No one else in my extended family knew about this town. They only knew that some ancestors came from somewhere in Avellino, Italy. I'm the one who gave it a name: Santa Paolina in the province of Avellino.

In a nutshell, here's how I discovered her hometown:

• Her eldest son's U.S. WWII draft registration card said he was born in Tufo, Avellino (find out more). I searched that town's vital records.
• The records told me his mother's family came from nearby Santa Paolina. I searched that town's vital records.
• There I found my 2nd great grandparents' 1871 marriage documents and my 2nd great grandmother's 1845 birth record. Victory!
  

Once I knew the town, I could research my family. I used the Antenati website to build several generations of her Consolazio family. (That name itself was a recent discovery.) But my 3rd great grandmother who married a Consolazio had no relatives in Santa Paolina. Where did she come from?

Her 1898 death record from Santa Paolina had the answer. She was born in another town called Apice. I don't know how Rufina, my 3rd great grandmother, met her husband when their towns are 10 miles apart. Back then, transportation involved mules or horses.

A Tough Challenge

This got me excited to explore the vital records from Apice. Then I got a look at those vital records! The town of Apice has some of the worst vital records I've ever seen. The handwriting is atrocious, and I swear the clerk routinely left letters out of names. Amazingly, I did identify Rufina's ancestors, including all 8 of her great grandparents. They are my 6th great grandparents, all born in the early 1700s.

Building my 3rd great grandmother's family tree from AWFUL documents required a helpful tool.

Chasing down all those names was a challenge, and I may have some of the last names spelled wrong. But my family tree mission is to connect as many people as possible from my ancestral hometowns. I'd like to piece together a lot more Apice families. It's the horrible handwriting that slows me down.

The other night I forced myself to go through all 112 Apice birth records for 1816, the year Rufina was born. I'd already downloaded the files to my computer, so my goal was to rename each file, making them searchable. It was torture. I had to guess at many last names. I hope that other documents, written by a better clerk, will make the family names clearer. Literally.

A Helpful Research Tool

When I first tried to tackle the Apice documents, I created a companion file as an aid. Someday this town's last names will be as familiar to me as those from my grandfathers' hometowns. But until then, my companion document is a necessity.

My document is an Excel file, which makes alphabetizing a snap. But you can use a text file or Word document, too. Here's all it contains:

• Name. I record my best guess for every last name I see. As I review more records, I check what I think I see against what I recorded in my spreadsheet.
• Alternate. It's typical to see variations in Italian names, particularly in the prefix or final letter. Giannini/Giannino, deMarco/diMarco. I make note of variations to assure myself I've seen this before.
• Cognomix results. That refers to an Italian last-name website that tells you where in Italy you'll find a particular last name. Whenever I add a name to the spreadsheet, I check this resource to see if the name exists in Apice or in towns nearby. It's reassuring to find the name still in Apice because I know I'm spelling it right. I can also consult the Italian White Pages online to see if the name is in the area.

You'll need another type of resource for names that aren't from Italy, of course. Consider censuses for your town, directories, and newspaper articles.

One last thing I did in this spreadsheet is a bit of color-coding:

• A green background in the name field means I'm pretty confident about the spelling.
• Red text in the Cognomix results field confirms the name still exists in that town today.

You can find lots of help online for deciphering bad handwriting. (Go to the FamilySearch Wiki and search for the word handwriting.) You can compare letters from the word you can't quite understand to similar shapes on the same page. Can you confirm that the first letter is a capital P? Do some of the letters match a word you can read because of its context?

But last names can be a big problem. It helps so much if you get familiar with the language. For instance, I know a last name in Italy won't start with a W or contain a K.

Don't give up when the town scribe had the worst handwriting imaginable.

Here's how you can overcome the worst handwriting in your genealogy research:

• Get familiar with last names from the place you're researching.
• Get in-language handwriting tips from FamilySearch.org.
• Use directories and other tools to see if what you think is a name is actually a name.
• Keep a log (like my spreadsheet) while reviewing documents from a particular place.

I can't go back further than my 6th great grandparents from Apice unless the town's church records go online. But I want to keep exploring the town and find links to any DNA matches. This spreadsheet is critical to my research. Will it help you, too?

Collect Important Family Places to 'Tour' Anytime

I've had 16 homes in my life. And that's not counting college dorms or the months my family lived with relatives. It's a lot to keep track of. I do have a list of the 16 addresses along with some details in my ongoing biography Word document. But I wanted something better.

I turned to Google Earth for a far more visual way of storing these addresses. Now I can "fly" from home to home: starting in the Bronx where I was born, flying out to California, then back to the east coast, ever-so-briefly to Indiana, then several more stops on the east coast.

How can you use Google Earth for genealogy? You can create several collections of places, each with a unique name. I named my first collection Houses. What if you created a collection of all the addresses you have for a certain branch of the family? I could collect all the past addresses of my Ohio cousins or my western Pennsylvania cousins.

Take a virtual visit to your family's past anytime you choose.

What I found infinitely enjoyable was collecting places from my vacations. I used my photos to help me remember and find hotels, restaurants, landmarks, and more. I was so excited to find the magical side street in Lyon, France, where I had the dinner of a lifetime. I'd forgotten the name of our hotel in Lyon, unfortunately. So I used Google Earth to roam the streets, pulling details from my memory, and I found it!

Preserving these details in this 100% visual way will be a treasure for the rest of my life. I did the same for a little town near Nice, France, and for Milano, Italy, but I have many more vacation destinations to do.

To start building your collections, you'll need a free Google account. Your collections get saved to your Google Drive. To save a place to a collection, use the magnifying glass icon to search for the address. Then choose Add to Collection. Click the Replace button (a misleading label) to change the title of the place, add a description, and even upload a photo. It can be your own photo or one you capture there in Google Earth.

I lived in California as an infant and didn't return to the west coast until 2016. I made sure to visit my old house and take a few photos. I attached the best one to this address in my collection. I also added something no one else can: a photo of the house under construction in 1959.

When you want to take a virtual tour of your saved places, open your collection. If it isn't already open, find it in Google Drive and double-click it to launch Google Earth. Once it's open in Google Earth, click the Present button.

Use family photos for landmarks and you can find those important places in Google Earth.

The globe will spin and zoom in on the first location. You can use your mouse or the onscreen +/- buttons to zoom in or out some more. There will be a big panel on the right showing an image of the place or landmark. Sometimes you can click More info in this panel to scroll through photos of the place. Close that panel to see more options. You can drag and drop the little person icon to a spot on the map and have a street-side view of what's around. That works the same as it does in Google Maps.

Back in Present mode, you can keep clicking the right arrow until you've flown to all the locations. Or you can click the Table of Contents and choose any one of your saved places to visit.

Which collections would you like to create? How about adding places from your family photo collection? Imagine adding photos of the family gathered at that location. I guarantee you're going to have a lot of fun.

You can fly from one favorite place to another using Google Earth. Here's a flight from Lyon, France, to Milano, Italy.

Using Shared Matches and Genealogy to Solve a Mystery

When shopping for a new home, you have to look past the dirty carpet to envision what the house can be. That's true in genealogy research, too. You have to look past the mistakes in other family trees to envision the truth and find the correct facts.

Focus on the Right Branch

The other day I wanted to figure out my connection to a DNA match with an Irish last name. Let's call him Danny Irish. Where does he tie into my all-Italian family tree? Based on our shared matches alone, I narrowed down our common family tree branch as follows. We should connect through:

• My maternal grandmother Mary Sarracino's line. Why? Because Mom and my maternal 1st and 2nd cousins are in our shared matches list. Going further back, we should connect through:
• Grandma's mother Maria Rosa Saviano's line. Why? Because some of my Saviano cousins are in our shared matches list. Going further back, we should connect through:
• Maria Rosa Saviano's mother Colomba Consolazio's line. Why? Because some of our shared matches connect to me only through the Consolazio branch. Going further back, we should connect through:
• Colomba Consolazio's father's maternal Ricciardelli line. Why? Because some of our shared matches connect to me only through the Ricciardelli branch. And that puts our connection in the town of Santa Paolina, Avellino, Italy.

Can you see the power of shared matches now? With no other clues, I can see that Danny Irish connects to my 4th great grandparents, Gaetano Consolazio and Colomba Ricciardelli.

Danny Irish's tiny tree has only the names of his father and his Irish grandparents. He has no maternal branch at all. AncestryDNA says he has 16% Italian DNA, so he could have an Italian great grandparent. I had to find his maternal line.

When my 3rd great uncle changed his name, none of his descendants could find his past. But I did. The key was waiting in a shared DNA match list.

Fill in Their Tree's Blanks

A search for his deceased father gave me the name of his wife Hilda, and she has an Italian last name. Based on obituaries and other clues, I'm confident Hilda is the mother of Danny Irish. I continued searching for clues about her.

I found several family trees with Hilda's father's family, but they all hit a dead end quickly. No one seemed to know anything beyond Hilda's Italian grandparents' names.

I tried to pull some research-worthy clues from these family trees. I took all their names and dates as hints, not facts. I rolled my eyes as tree after tree called Luigi's wife Felechlr. That's what's in the transcription of the 1900 U.S. census. In the words of Dr. Evil, "How about no!" Right away I guessed it was Felicella, a name I've seen in my target town of Santa Paolina.

My "break" came from a link to a Geneanet family tree that called her Felicella Marano. The name Marano is from Santa Paolina. And this tree says her mother was a Censullo. That's another Santa Paolina name.

Things started out beautifully because Felicella's supposed mother was my 2C4R. Finally, a blood relative! I used the Santa Paolina vital records to add all the children of Luigi Marano and Maria Filomena Censullo to my family tree.

Then I saw the problem. This couple married in 1874 and had 9 children between 1875 and 1894. The Geneanet tree claims that Felicella is also their daughter, born in 1859. The couple was born in 1851. It doesn't work. And there is no Felicella Marano (or any variant of her first name) in the town's vital records. The Geneanet tree also had Luigi Marano's ancestors all wrong. I know because I have his detailed marriage records.

Turning to the censuses, I realized Felicella died in New Jersey between 1900 and 1910. Without her death certificate, I'm stuck. I can't seem to find her arrival in America even though I know which children should be traveling with her.

I've been ignoring this mystery DNA match for a long time. Now I have the right tool to use to figure him out.

Use What You Know About the Branch

I noticed one family tree was mixing siblings with 2 different last names. Yet this tree said they were children of the same Luigi Marano and Maria Filomena Censullo. I searched the town's vital records for that extra last name, Dato. I found a Maria Felicia Dato (Felicella could have been her nickname) born in Santa Paolina at the right time. And what do you know? She married my 3rd great uncle, Luigi Consolazio.

I've seen only one of my families completely change their last name. Their name is too hard for an American mouth to pronounce. They switched to a bit of a soundalike, so it was a logical change. But this would be changing Consolazio to Rossi, which isn't logical to me. Still, this couple had 2 children in Santa Paolina whose births match the 1900 census. And the names of their American-born children match the names of Luigi and Felicella's parents.

I looked at my relationship calculator spreadsheet. (Get yours when you visit "How to Find Your Exact Relationship to Any Cousin.") If Danny Irish is the great grandchild of my 3rd great uncle, he's my 3C1R. AncestryDNA says we could be 3rd cousins or 3rd cousins once removed. How about that?

As for the name change, the only rays of hope are that Luigi Rossi/Rosse used the middle initial C (for Consolazio?) and he was a shoemaker (as was my Uncle Luigi back in Italy).

Then came good news. I searched for "Maria Felicia Dato" and found her coming to America in 1893! She is 35 years old, traveling with her 2 young Consolazio children. They're bound for Orange, New Jersey. A few lines up on the ship manifest is Paolina Consolazio, my 3rd great aunt and Luigi's sister. She has her 2 sons with her, making it a sure match.

Let's go back to my original estimate about where Danny Irish belongs:

• I knew from our shared matches that he was at the very least on my maternal grandmother Mary's branch.
• More shared matches pointed to her Saviano branch, and to her mother's Consolazio branch.
• Still more shared matches came from my Consolazio 3rd great grandfather's Ricciardelli branch.

That all proves to be true!

Put Shared Matches to Work for You

When you want to solve a mystery DNA match, first look at the DNA matches you both share. Can you identify any of them? Do the ones you know point to a specific branch of your family tree?

Use this method to find the best branch for your match, then get researching.

When you isolate a branch for your mystery match, hunt down their people until you can make sense of it all. If they don't have a tree that's much help, some of your shared matches may. And more trees may turn up from non-DNA testers.

Narrowing down to a specific branch will help you focus on the right people and records. "Danny Irish" is a mystery match no more.

Choosing and Using the Most Reliable Sources

I'm so close to finishing the source citation clean-up project I started in January. It's been massive. My tree has more than 57,000 people, so I have tons of citations. And this review doesn't include my 1,000s of Italian vital record citations. I'll get to them next.

This review involves making sure each citation has:

• facts about the source
• specifics of the citation
• a link to the record, and
• an image if available.

Also, importantly, I'm making sure citations get shared, not duplicated. For example, bad Ancestry syncs caused one census citation for a family of 8 to split into 8 source citations. It was mayhem. That ends now.

I went through my source list alphabetically. But I saved a few big ones for last. They included the:

• Social Security Death Index (SSDI)
• Social Security Applications and Claims Index
• U.S. Public Records Indexes, volumes 1 and 2
• U.S. City Directories
• Find a Grave

For my U.S. Public Records Index source citations, my goal was to delete each one where I had a better source. Why? Because too many times I've seen this source say that a person's birthday was the 1st of the month when I knew better. These were estimates. They were definitely not reliable. So, if I had a reliable source for someone's birthday, I deleted their Public Records Index citation.

When you have a handful of sources telling you the same facts, do you need them all?

The Most Reliable Sources

Most of my family lived in New York City until the last several decades. That means I have access to many of their birth, marriage, and death records online. These are big clear images of the documents themselves. They haven't been available online for long, so I'm still finding and downloading more and more.

Actual vital record images are very reliable for dates and places. I know my maternal grandmother was born on 25 Oct 1899 even though her grave marker purposely says 1900. Names are subject to spelling errors and variations, but if you keep an open mind, you can gather what you need.

If I have an image of a relative's vital record, any other source that happens to be correct is a supporting source. And some supporting sources are more respected than others. I'm putting my faith in the birth record written on the day. If the SSDI happens to have the same date, it's a nice supporting source. But if a Public Records Index happens to be right too, do I need to cite it? Not if I have the real thing. It's not a reliable source, and it adds nothing.

U.S. WWI and WWII draft registration cards are well respected sources, too. Of course your relatives born in the late 1800s may not be 100% certain about their birth date. So mistakes can happen. But if you've got a young man born in the 1920s registering for the WWII draft, I'd bet he knows his birth date and won't make a mistake.

Post-1890s ship manifests can be reliable, especially for identifying hometowns. Naturalization papers often have a lot of correct dates and places. These are both great to have when they support your most reliable sources.

Make sure you're choosing the most reliable sources for your family tree facts.

Less Reliable Sources

My own birth is on Ancestry.com as an image of a New York City index page. It's not a very clear image, so the certificate number is open to interpretation. And I didn't have a first name on day one, so how could anyone be sure Female Iamarino is me?

Last year I ordered my paternal grandmother's upstate New York birth certificate. I hope I got the certificate number right. She's listed as Female Merino instead of Lucy Iamarino, which is why I couldn't find her for so long. I'm eager to get the certificate to finally confirm her birth date. If it's really the 10th, my dad had it wrong his whole life. And my son was born on her birthday, but we never knew it! My son is 30.

When you have a bad index image or a database of facts pulled from indexes, it can't compare to seeing the original document.

The 1900 U.S. census includes the month and year of each person's birth. How nice! But that's only as reliable as the person who talked to the census taker. A census is a reliable source for home addresses, but not much else. The censuses are fantastic supporting documents unless they have a glaring error.

When I went through my U.S. Public Records Index citations, I planned to keep them only if they were my only source for a name, birth date, or death date. I whittled the citations down from 132 to 37. Most of what I kept is the only source I can find for a contemporary person's date of birth.

The two domestic sources I have left to review are U.S. City Directories and Find a Grave. I love when I find a grave marker image or an obituary on Find a Grave, but I know they're not reliable. My grandmother's grave marker says she was born in 1900 because she hated that she was born in 1899. My aunt told me she requested it that way because otherwise "my mother would kill me." And an obituary writer may not have the facts straight.

I'm sure I'll keep every Find a Grave source citation because they're often the only way to know where someone is buried. But if they disagree with a birth or death date from a reliable source, I won't attach the Find a Grave citation to that fact.

You may not want to launch a months-long review of all your citations, so here's what you can do. Each time you're working on a particular family unit, take a good look at all your citations for them. Can you find a more reliable source for key facts? Is what you have a most reliable source, a solid supporting source, or a less reliable source?

Use Color-Coding to Solve Mystery DNA Matches

Last week's article on sorting your DNA matches by grandparent branch was a big hit. Thank you for reading it! Since that DNA exercise was so popular, I've got another one for you. This is especially helpful for those of you whose parents have not DNA tested.

This color-coding exercise comes from a RootsTech presentation by Diahan Southard. It's called, "Shared Matches—The only DNA tool you will ever need."

Choose a Goal No Further Back than a 3rd Great Grandparent

My goal for this exercise is to find descendants of my unknown 3rd great grandmother. All I know is she married Antonio Muollo in the tiny hamlet of Pastene in Italy. To do this, I'll choose the closest match I know who descends from each of my 4 pairs of 1st great grandparents. These should be people who you've already fit into your family tree. Southard calls these cousins your Best Known Matches, or BKMs.

For each BKM, click to view them and find the list of your shared matches. (The location of this list depends on your DNA website.) These are people who match both you and the BKM. Create a color-code on your DNA website for each of your 1st great grandparent pairs. Give the right color to all the shared matches of each BKM. Give it to your BKM from that branch, too.

Divide your DNA matches with this color-coding system and watch all the pieces fall into place.

You can go a step further and give that color to the shared matches of everyone in your BKM's shared match list.

Without using my parents or reusing any BKMs, here are my closest tested cousins for each branch. They're strong matches with longest segments of shared DNA between 35 and 86 cMs.

BKMs by 1st great grandparents branch:

1. Iamarino/Caruso—June 1C1R, 441 cM match, longest segment 51 cM
2. Iamarino/Pilla—Jessica 3C1R, 168 cM match, longest segment 65 cM
3. Leone/Iammucci—Nicky 1C, 793 cM match, longest segment 86 cM
4. Sarracino/Saviano—Christine 2C, 308 cM match, longest segment 35 cM

If that list is confusing, it's because my father's parents were both named Iamarino. They were 3rd cousins.

Use Color-Coding to Filter Your Matches

Next, I'll go back to my main match page and filter my list by only my Sarracino/Saviano branch. The goal is to separate them by my 2nd great grandparent couples. I'll use another color to divide the Sarracino-only matches into a 2nd great grandparent group called Sarracino/Muollo. And I'll divide the Saviano-only matches into a 2nd great grandparent group called Saviano/Consolazio. It's the Sarracino/Muollo group that can help me break through my Muollo brick wall.

Here are the BKMs I chose for my 2nd great grandparent branches:

1. Sarracino/Muollo—Mary, 191 cM match, longest segment 51 cM
2. Saviano/Consolazio—Teresa, 2C1R, 157 cM match, longest segment 35 cM
3. Iamarino/Zeolla—another Teresa, 125 cM match, longest segment 65 cM
4. Pilla/Liguori—Nicole, 59 cM match, longest segment 25 cM
5. Iamarino/diPaola—Keith, 2C, 232 cM match, longest segment 51 cM
6. Caruso/Girardi—Daniel, 2C, 229 cM match, longest segment 42 cM
7. Leone/Pisciotti—Anne, 3C, 97 cM match, longest segment 71 cM
8. Iammucci/Bozza—none! There's only my mother and 1C Nicky.

You May Find Some Surprises

Diahan Southard said this exercise can point out the endogamy in your family tree. Endogamy is when generations of families keep intermarrying. That leaves you with multiple relationships to people. And it's very common in the small, somewhat isolated hill towns that were home to all my ancestors.

I see endogamy right away because my only 1C who's tested, my maternal 1st cousin, is somehow a match to my father. He's a very distant relation to my Dad. They share only 11 cMs in one segment. They each have ancestors from bordering towns, so there are lots of ways they may connect. But I'll probably never find the answer.

If you don't have endogamy, this process should work extremely well for you. You'll wind up with a long list of matches who must belong to a particular branch of your family tree. They've probably been mystery matches because they have no tree or no familiar names.

As a shortcut, I took Southard's advice and looked at Ancestry's ThruLines^® for Muollo branch descendants. There's only one, aside from my 1C and my mom. She's my 3C1R, and she looks remarkably like me. It's possibly she has some Muollo in her ancestry, but she seems to be only on the Sarracino side. If there is a Muollo descendant in my matches, they don't have a public family tree. Still, I will circle back and examine my shared matches with my lookalike 3C1R.

With the Muollo branch at an impasse, I turned my attention to my Consolazio ancestors. My 2nd great grandmother was a Consolazio from the town of Santa Paolina. Many people from that town intermarried with people in the neighboring town of Tufo. And my Tufo vital record collection needs a lot more research.

I chose as my BKM Lynda, my 3C3R, 30 cM match, with a longest segment of 19 cM. I know exactly where she belongs on the Consolazio branch. I marked her and our shared matches with the color for my Consolazio/Zullo branch.

Harvest Your Mystery Matches

Looking at these matches, I moved onto the next step, which is Southard's mantra, "Do genealogy!" I'll choose a shared match with a decent family tree and expand it until it reaches a branch of my tree.

I was digging into one match with a Consolazio family in his tree, but they were from the wrong town. I researched them anyway, and they did, in fact, have roots in my Consolazio town of Santa Paolina. That's a good lesson right there. Don't count someone out because their closer ancestors come from a place you don't know. Dig deeper!

Expert Diahan Southard offers this incredible method for finding exactly the DNA matches you need. I can't praise this method highly enough.

When I did the genealogy, this match whose close family was from another town turned out to be my 3C2R. Our longest shared DNA segment measured 20 cM, which is now very logical.

Our common ancestors are my 4th great grandparents, Gaetano Consolazio and Colomba Ricciardelli. Our shared roots go very deep in Santa Paolina. I color-coded all our shared matches as Consolazio/Zullo.

In the past I marked one of our shared matches as "Consolazio NOT from Santa Paolina." Now I knew I needed to dig into her family tree to bring her roots back to my town. And I did it! I found our connection, which was a mystery before today. She's my 4C1R, and we share the same ancestors—Gaetano Consolazio and Colomba Ricciardelli.

I'd marked another shared match as "lots of Santa Paolina names." Today's exercise brought him to my attention again. Almost instantly, I saw a way into his tree. His grandfather is already in my family tree, but there isn't a cousin connection. When I researched his grandmother, I found our connection. Now this mystery match is my 5C1R.

This is really working! Diahan Southard hit the nail on the head in her presentation. She said, "Stop looking at shared last names, and start looking at shared matches. Then, do genealogy."

This method can solve a ton of your mystery DNA matches. Give it a try!

And speaking of DNA tools:

• This DNA Reference Site Solved a Mystery
• The Leeds Method May Have Solved a Big Family Puzzle
• Combine DNA Tools to Calculate Unknown Relationships