Automated Reannotation Process for Genetic Data Accelerates Rare Disease Diagnosis

Mayo Clinic's Center for Individualized Medicine has developed a semi-automated system called RENEW (REanalysis of NEgative Whole-exome/genome data) to accelerate the diagnosis of rare diseases. This innovative technology compares patient genomic sequencing data with newly published global research discoveries to identify previously undetected disease-causing genetic variants.

A recent study published in Human Genetics highlights RENEW's success, revealing probable diagnoses for 63 out of 1,066 previously undiagnosed cases. The system's sophisticated filtering mechanism efficiently sifts through new genetic information, pinpointing pathogenic variants responsible for patients' disorders.

RENEW's efficiency is notable, taking an average of 20 seconds to review each of the 5,741 genomic variants it prioritized. The total analysis time per unresolved case ranged from 10 seconds to 1.5 hours, a significant improvement over the weeks-long manual reanalysis process traditionally conducted by researchers and clinicians.

"Considering that the majority of patients with rare diseases who undergo genomic sequencing remain without a diagnosis, this is no small accomplishment," explains Alejandro Ferrer, lead author of the study. "Each successful diagnosis facilitated by RENEW signifies a profound breakthrough in providing answers and hope to people navigating the complexities of rare diseases. 

"Looking forward, through advances in technology, we hope to further improve the automation and efficiency in this interpretative process, bringing this technology to a broader aperture of genetic test data," adds Eric Klee, the creator of RENEW.