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Melissa S. Cline

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Melissa Suzanne Cline is an American biologist. She is an Associate Research Scientist at the UC Santa Cruz Genomics Institute Between June 2001 and December 2004 she was a staff scientist at Affymetrix, Inc. in Emeryville, California where she was involved in developing ANOSVA, a "statistical method to identify alternative spicing from expression data," during which she "analyzed the effects of alternative splicing on protein transmembrane and signal peptide regions". [1] Subsequently, she moved to UC Santa Cruz, where she wrote on genome browsing. [2] According to the Thomson Reuters report, she was one of the most highly cited scientists in the world in 2012/13. [3]

Cline is currently the program manager for the BRCA Exchange, a platform that shares knowledge on the tens of thousands of BRCA 1 and BRCA 2 genetic variants that could influence a person's susceptibility to breast cancer, particularly on the clinical significance of those variants. [4] One of the challenge in curating the clinical impact of genetic variants is that is the curation often relies on clinical evidence of the variants in patients and their families; to protect patient privacy, most genetic data is siloed, or maintained in closed databases where the data are inaccessible to most researchers. [5] Addressing this problem, Dr. Cline and colleagues devised a "federated analysis" approach to analyze patient data within its secure home repository, gathering new knowledge for variant curation while safeguarding patient privacy. [6] [7] This approach has successfully gathered new variant knowledge from siloed data, advancing the curation of BRCA variants. [8] [9]

References

  1. "Melissa Susanne Cline" (PDF). University of California, Santa Cruz. Retrieved 14 November 2015.
  2. Cline, Melissa S; Kent, W James (2009-02-01). "Understanding genome browsing" . Nature Biotechnology. 27 (2): 153–155. doi:10.1038/nbt0209-153. ISSN   1087-0156. PMID   19204697. S2CID   205265560.
  3. "The World's Most Influential Scientific Minds 2014" (PDF). Duke University, Durham, North Carolina: Thomson Reuters. 2014. p. 13. Archived from the original (PDF) on 17 November 2015. Retrieved 14 November 2015.
  4. Miyatsu, Rose (October 23, 2023). "Working to improve clarity for patients assessing their genetic breast cancer risk".
  5. Diamond, Joel (July 13, 2018). "Don't lock genomic data into silos". MedCity News.
  6. Cline, Melissa (August 2023). "Federated Analysis for Privacy-Preserving Data Sharing: A Technical and Legal Primer". Annual Review of Genomics and Human Genetics. 24: 347–368. doi: 10.1146/annurev-genom-110122-084756 . PMC   10846631 .
  7. Cline, Melissa (March 9, 2022). "Federated analysis of BRCA1 and BRCA2 variation in a Japanese cohort". Cell Genomics. 2 (3).
  8. "How a bot beamed from California to Japan may stop unnecessary mastectomies for breast cancer patients". Global Alliance for Genomics and Health News. June 3, 2022.
  9. Borfitz, Deborah (June 14, 2022). "'Federated Analysis' Helps Fill Genetic Risk Knowledge Gap On BRCA Genes". Bio-IT World.
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