DNAGedcom is a third-party service that provides tools for downloading and analyzing DNA match data from testing companies like Ancestry, 23andMe, and FTDNA. It also offers GWorks for GEDCOM comparisons, and JWorks/KWorks for autosomal DNA triangulation and segment analysis.

A GEDCOM (GEnealogical Data COMmunication) is a plain text file with a .ged extension containing genealogical information about individuals. It is the standard format for exchanging family tree data between different genealogy software programs.

Click the Sign In button in the top navigation, then use the registration option. You'll need a username, email address, and password. Remember your DNAGedcom username — it is typically not your email address, FTDNA login, or GEDmatch kit number.

First, make sure you're using your DNAGedcom username (not your email or FTDNA kit number). If you've forgotten your password, use the password reset option on the login page. Check your spam folder for the reset email. If you still can't get in, email support@dnagedcom.com with your username.

The most common cause is incorrect login credentials for the DNA testing company. Make sure you can log in directly to FTDNA, 23andMe, or Ancestry first. FTDNA user IDs are typically a number (e.g., 123456 or B1234); 23andMe user IDs are your email address.

If credentials are correct, check your downloaded files in the Members > View Files area. Files may still be processing in a "Building" folder.

Save the .zip file to a location you can find easily, then right-click and select Extract All. If you have trouble, you can download individual files from Members > View Files by double-clicking each file.

GWorks is DNAGedcom's GEDCOM comparison tool. Upload your family tree files and search for common surnames, locations, and ancestor overlaps with your DNA matches. For detailed instructions, see the documentation center.

JWorks is an Excel-based autosomal DNA grouping tool for triangulation and ICW (In Common With) segment comparison. KWorks provides similar functionality through a web interface. Both help you identify clusters of related matches.