Capturing data…
Capturing data…
TUE, 22 SEPT · 78 ITEMS
"Identifying Putative Pathogenic Non-Coding Variants in Unresolved Rare Disease Patients Using Topologically Associated Domains" — bioRxiv (Genomics) · Science & Medicine
This bioRxiv preprint describes a computational method that uses (TADs) to identify non-coding DNA variants that may cause rare diseases in patients who have remained undiagnosed after standard genetic testing. By focusing on structural regions of the genome that organize gene regulation, the approach aims to find hidden variants missed by conventional exome or genome sequencing.
The claim is based on a primary source (a bioRxiv preprint), which is the actual research paper rather than a news report. As a preprint, it has not yet undergone formal peer review, so the findings should be considered preliminary but are directly from the authors who conducted the study.
This is a newly posted preprint on bioRxiv; no recirculation year is indicated, so it represents genuinely new research.