New tool uncovers overlooked disease-linked genes by accounting for ancestry and family ties
Researchers at Baylor College of Medicine have developed a new computational tool called Tractor-Mix to improve genetic disease research. The method allows scientists to accurately analyze diverse populations with mixed ancestry and family relationships, which were previously difficult to study.
Why it matters
This tool helps eliminate bias in genetic studies by allowing for more inclusive data, potentially leading to more accurate medical breakthroughs for diverse populations.
by Molly Chiu, Baylor College of Medicine
edited by Swati Mestri , reviewed by Robert Egan
This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility:
Add as preferred source Credit: Pixabay/CC0 Public Domain Every person's DNA tells a unique story. To unlock the full potential of genetic research, scientists need tools that reflect the complexity of the people they study.
Researchers at Baylor College of Medicine and Texas Children's Duncan Neurological Research Institute (Duncan NRI) have developed a new computational method that enables scientists to more accurately identify genetic changes linked to disease by accounting for the ancestry and family relationships found in real-world populations.
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