Biography:Paola Sebastiani

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Paola Sebastiani is a biostatistician and a professor at Boston University working in the field of genetic epidemiology, building prognostic models that can be used for the dissection of complex traits. Her research interests include Bayesian modeling of biomedical data, particularly genetic and genomic data.

Education and career

Sebastiani obtained a first degree in mathematics from the University of Perugia, Italy (1987), an M.Sc. in statistics from University College London (1990), and a Ph.D. in statistics from the Sapienza University of Rome (1992). She came to Boston University in 2003, after previously having been an assistant professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst.[1]

Contributions

Her most important contribution is a model based on a Bayesian network that integrates more than 60 single-nucleotide polymorphisms (SNPs) and other biomarkers to compute the risk for stroke in patients with sickle cell anemia. This model was shown to have high sensitivity and specificity and demonstrated, for the first time, how an accurate risk prediction model of a complex genetic trait that is modulated by several interacting genes can be built using Bayesian networks.[2]

A controversial paper regarding the genetics of aging with which she was associated was retracted from the journal Science in 2011 due to flawed data.[3][4] The corrected version was published in PLOS ONE,[5] and several of the genes found associated with exceptional human longevity were replicated in other studies of centenarians.[6][7][8][9]

Publications

She has published several peer-reviewed papers. According to Scopus the most cited ones are:

Awards and honors

She became a fellow of the American Statistical Association in 2017.[10]

References

  1. "BU Homepage for Paola Sebastiani". http://sph.bu.edu/index.php?option=com_sphdir&id=239&Itemid=340&INDEX=11326. 
  2. "Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia". Nature Genetics 37 (4): 435–40. April 2005. doi:10.1038/ng1533. PMID 15778708. 
  3. Wade, Nicholas (22 July 2011). "Scientists Retract Report on Predicting Longevity". The New York Times. https://www.nytimes.com/2011/07/23/science/23retract.html?_r=0. 
  4. "Science Longevity Paper Rectracted". July 2011. http://news.sciencemag.org/scienceinsider/2011/07/sciencelongevity-paper-retracted.html. 
  5. Sebastiani, Paola; Solovieff, Nadia; Dewan, Andrew T.; Walsh, Kyle M.; Puca, Annibale; Hartley, Stephen W.; Melista, Efthymia; Andersen, Stacy et al. (2012). "Genetic Signatures of Exceptional Longevity in Humans". PLOS ONE 7 (1): e29848. doi:10.1371/journal.pone.0029848. PMID 22279548. Bibcode2012PLoSO...729848S. 
  6. Conneely, Karen N.; Capell, Brian C.; Erdos, Michael R.; Sebastiani, Paola; Solovieff, Nadia; Swift, Amy J.; Baldwin, Clinton T.; Budagov, Temuri et al. (2012). "Human longevity and common variations in the LMNA gene: a meta-analysis". Aging Cell 11 (3): 475–481. doi:10.1111/j.1474-9726.2012.00808.x. PMID 22340368. 
  7. "Genetic Variants in PVRL2-TOMM40-APOE Region Are Associated with Human Longevity in a Han Chinese Population". PLOS ONE 9 (6): e99580. 2014. doi:10.1371/journal.pone.0099580. PMID 24924924. Bibcode2014PLoSO...999580L. 
  8. Tomàs Pinós (2014). "The rs1333049 polymorphism on locus 9p21.3 and extreme longevity in Spanish and Japanese cohorts". AGE 36 (2): 933–943. doi:10.1007/s11357-013-9593-0. PMID 24163049. 
  9. "Meta-analysis of genetic variants associated with human exceptional longevity". Aging 5 (9): 653–61. 2013. doi:10.18632/aging.100594. PMID 24244950. 
  10. "ASA Fellows list". American Statistical Association. http://www.amstat.org/ASA/Your-Career/Awards/ASA-Fellows-list.aspx.