Top 100 MRCA Scoreboard
How It works| # | Name | Points |
|---|---|---|
| 1 | Michele Cragg | 1249 |
| 2 | Jay Fletcher | 777 |
| 3 | Paul Rakow | 528 |
| 4 | Samuel Boylan | 492 |
| 5 | Jill Schell | 368 |
| 6 | Terry Fitzgerald | 361 |
| 7 | Ruth Laverne Cattles | 341 |
| 8 | Douglas Husemann | 255 |
| 9 | Andreas West | 206 |
| 10 | Peggy Jude | 201 |
| 11 | James Smith | 188 |
| 12 | Tony Allegra | 178 |
| 13 | K Williams | 170 |
| 14 | Erik Granstrom | 166 |
| 15 | Max Gerald Heffler | 150 |
| 16 | Rodney Merrill | 132 |
| 17 | Marjorie Anderson | 119 |
| 18 | Tony Norris | 104 |
| 19 | Joseph Lawrence | 101 |
| 20 | John Roberts | 96 |
| 21 | Kenneth Louis Jordan Jr | 88 |
| 22 | Pamela E Culy | 78 |
| 23 | Evelyn Vinson | 73 |
| 24 | James Arnold | 67 |
| 25 | Veronica Williams | 56 |
| 26 | Robin Babou | 55 |
| 27 | Angela Townsend | 53 |
| 28 | Christy Jordan-Frank | 44 |
| 29 | Chase Clift | 43 |
| 30 | Steven Coker | 41 |
| 31 | Ricardo Roffiel | 40 |
| 32 | Pam Pennington | 33 |
| 33 | Tim Janzen | 32 |
| P Donley | 32 | |
| 35 | Lynne Williamson | 31 |
| 36 | Carrie Loranger | 23 |
| 37 | David Cheney Conroyd | 20 |
| William Harvey | 20 | |
| 39 | Mike Alexander | 16 |
| Robert Warthen | 16 | |
| 41 | william Watson | 15 |
| 42 | Shari Jamieson | 13 |
| 43 | Lisa L. | 10 |
| Elisabeth Oosterink | 10 | |
| Stephanie Payne | 10 | |
| 46 | Patrick Callaghan | 9 |
| 47 | Deborah Dixon Walker | 8 |
| 48 | Lynda Crackett | 7 |
| Zachary Kiyak | 7 | |
| 50 | Anna Castle-Byrne | 5 |
| 51 | Loretta Reich Rippee | 4 |
| 52 | Alfred Anheier | 3 |
| 53 | Kaitlyn Parker | 2 |
| Susan Stoddard | 2 | |
| David Wagner | 2 | |
| 56 | H Z | 1 |
| Vanessa Ebert | 1 | |
| Michelle Stella | 1 | |
| Franz Oster | 1 | |
| Angel Tai | 1 | |
| Dave Lyons | 1 | |
| Lisa Marley | 1 |
Here's how "Common Ancestor Points" work:
* Identify each Most Recent Common Ancestor (MRCA) between two of your DNA matches or between a DNA match and yourself. The MRCA is the person or couple through whom two DNA matches (or you and a DNA match) are related.
Examples:- In a parent/child relationship, the parent is the MRCA as the DNA to the child came through the parent. This is the easiest MRCA to identify.
- For full siblings, the MRCAs are the parents. For half-siblings, the MRCA is the parent from whom all half-siblings are descending.
- For 1st cousins, the MRCA is the grandparent couple from whom both cousins are descending. For 2nd cousins, it's the great-grandparent couple, and so on.
When we identify MRCAs for DNA matches in a triangulated group (TG), we know that the DNA has been inherited through the MRCA (single person), or for MRCA couples, we know that the DNA has come through one of them. As we add more MRCAs, we're collecting more evidence that the DNA was indeed inherited along this path and not any other possible path (especially important in endogamous relationships).
The "Common Ancestor Points" are calculated as follows:
For each DNA kit under your user profile, we identify all TGs with an assigned MRCA and give one point for each.
Example:You have 2 DNA kits under your user profile, and they have 17 TGs with 28 MRCAs assigned to them. The CAP will be 28 in this case.
Remember, if both DNA kits are in a TG together, we won't double count this TG. Also, there are more MRCAs than TGs as we haven't identified how all MRCAs in the TGs are related to each other.
Lastly, it's crucial to research the ancestors of ALL DNA matches in a TG! Every DNA match in a TG has inherited the same ancestral piece of DNA from an unknown common ancestor. By identifying MRCAs, we're collecting evidence as to who this common ancestor might have been.