Elena Tenedini
Papers
2
Total Citations
6
H-Index
2
About
Elena Tenedini is a researcher specializing in next-generation sequencing (NGS) methodologies and their clinical application in hereditary cancer genetics. Her work focuses on the development and optimization of genomic workflows designed to identify mutations in hereditary cancer genes, with the ultimate goal of enabling personalized prevention strategies for at-risk individuals. Tenedini's most notable contributions center on the implementation of automated, capture-based NGS workflows within clinical routine settings. Her landmark 2021 study, which documented the experience of processing over one thousand patients, demonstrated the practical scalability and reliability of these approaches in real-world diagnostic environments. By comparing amplicon-based and capture-based library construction protocols, her research has helped clarify which methodologies offer greater uniformity and accuracy for clinical genetic testing — a critical distinction when results directly inform patient care decisions. Though her citation record is still emerging, with her primary works accumulating early scholarly recognition, Tenedini's research addresses a genuinely pressing challenge in clinical genomics: bridging the gap between cutting-edge sequencing technology and accessible, standardized patient care. Her contributions are particularly valuable for genetic counselors, oncologists, and laboratory specialists seeking evidence-based guidance on implementing NGS in hereditary cancer screening programs.
Research Focus
Key Achievements
Top Papers
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