Eric Schadt

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Eric Schadt
Eric Schadt headshot 2014.jpg
Born (1965-01-31) January 31, 1965 (age 53)
St. Joseph, Michigan, United States
Alma materCalifornia Polytechnic State University
University of California, Davis
University of California, Los Angeles
Scientific career
InstitutionsIcahn School of Medicine at Mount Sinai
Sage Bionetworks

Eric Emil Schadt (born January 31, 1965) is an American mathematician and computational biologist. He is Dean for Precision Medicine at the Icahn School of Medicine at Mount Sinai and Chief Executive Officer of Sema4, a spinout next generation health information company of the Mount Sinai Health System that provides advanced genomic testing and merges big data analytics with clinical diagnostics. He was previously founding director of the Icahn Institute for Genomics and Multiscale Biology and chair of the Department of Genetics and Genomics Sciences at the Icahn School of Medicine at Mount Sinai. Schadt’s work combines supercomputing and advanced computational modeling with diverse biological data to understand the relationship between genes, gene products, other molecular features such as cells, organs, organisms, and communities and their impact on complex human traits such as disease.[1] He is known for calling for a shift in molecular biology toward a network-oriented view of living systems to complement the reductionist, single-gene approaches that currently dominate biology to more accurately model the complexity of biological systems.[2][3] Schadt has also worked to engage the public, encouraging people to participate in scientific research and helping them understand privacy concerns around DNA-based information.[4][5]

Research and training[edit]

In 1983, Schadt left high school early to enlist in the United States Air Force and joined a Special Operations/Rescue unit. After sustaining a serious shoulder injury that required reconstructive surgery, Schadt attended California Polytechnic State University on a military scholarship to study computer science and mathematics, and received his bachelor's degree in applied mathematics in 1991.[1] He went on to earn a master's degree in pure mathematics at the University of California, Davis in 1993. After that, he pursued a PhD in biomathematics at the University of California, Los Angeles, which required PhD candidacy in both molecular biology and biomathematics, completing his doctorate under the supervision of Ken Lange in 2000.[3] During his PhD work, Schadt worked as a senior software engineer at the UCLA Office of Academic Computing and later as director of computing in the UCLA mathematical sciences department[citation needed].

Scientific career[edit]

While completing his PhD, Schadt joined Roche Bioscience in 1998 as a senior research scientist and began his work on DNA microarrays, designing novel algorithms to process and interpret these data. He published some of the first independently developed algorithms to process gene chip data[6][7] work that he later applied to produce an early whole genome functional annotation of the human genome.[8]

In 1999, after becoming acquainted with Stephen Friend, he was hired as chief scientist at Rosetta Inpharmatics, a startup biotech company focused on the generation and analysis of high-dimensional functional genomics data.[1] Merck acquired Rosetta in 2001, which allowed Schadt to combine large-scale molecular profiling with Merck’s disease-focused databases to demonstrate the existence of molecular networks working together to give rise to complex system behavior.[9][10] During this period Schadt developed his theory that single-gene approaches to understanding and treating common human diseases must give way to a network-based approach and that many of the failures in pharmaceutical therapies were caused by an incomplete understanding of biology underlying the therapeutic targets.[2]

Demonstrating the ability to infer causal relationships among features in high dimensional data using DNA variation information, Schadt and his colleagues at Merck began reconstructing predictive networks that were shown to be causally associated with disease,[11] [12] [13] [14] [15] leading to the idea of targeting networks, not single genes, to effectively treat common disorders such as Alzheimer’s disease, obesity, and most forms of cancer.[16] A Merck spokesman said that the papers Schadt began publishing based on this genetic network data “changed the way people looked at disease.” Schadt used the information about these networks to determine which genes Merck should pursue as targets; by the time he left the company, Schadt estimated that his group was responsible for half the drugs in the company’s development pipeline.[1]

In 2009, along with Stephen Friend, Schadt founded Sage Bionetworks,[3] a nonprofit organization with the goal of encouraging collaboration between academic and commercial scientists in performing network-based studies of disease and making the data publicly available. When Merck closed down the Rosetta business unit, it donated the data, research, and computer equipment from that unit to Sage Bionetworks.[1] Schadt remains involved as a board member.[17]

Also in 2009, Schadt joined DNA sequencing company Pacific Biosciences as the chief scientific officer. During his time there, Schadt demonstrated the application of SMRT sequencing technology for various applications,[18] including to sequence bacterial genomes of public health concern to provide real-time information about these pathogenic strains during an active outbreak. He led research projects to resolve the origins of the Haitian cholera outbreak strain from 2010[19] and to characterize the highly virulent German E. coli outbreak strain in the summer of 2011.[20] He also demonstrated the ability to infer epigenetic changes from the sequencing data, uncovering novel regulatory mechanisms that may impact pathogenicity and virulence of bacteria of concern in public health.[21] [22]

In 2011, Schadt joined the Mount Sinai School of Medicine in New York, where he founded the new Icahn Institute for Genomics and Multiscale Biology and became chair of the Department of Genetics and Genomics Sciences.[23][24][25] The new institute was launched with $100 million for the first five years and is co-directed by Andrew Kasarskis.[25] Schadt has said that his interest in joining Mt. Sinai was to bring predictive modeling of biology to patients. In his time at the institute, he has opened the first CLIA-certified next-generation sequencing lab in New York City[26] and established the first class at the school in which students sequence their own genomes.[27][28] Schadt also serves on the executive committee of the New York Genome Center.

In 2013, Schadt and his team were awarded a grant from the National Institutes of Health to study biological networks in Alzheimer's disease.[29] They also published a paper in Cell reporting that a network of genes linked to inflammatory response plays a role in late-onset Alzheimer's disease.[30][31] Also that year, Schadt joined the Cure Alzheimer's Fund's Research Consortium along with Richard L. Huganir.

Schadt started a personalized cancer therapy initiative at the Icahn Institute to analyze tumor DNA, RNA, and protein states for a more tailored treatment approach for patients with cancer.[32] One example is a colon cancer patient named Stephanie Lee. Scientists transplanted her tumor cells into a fruit fly to use as a model for testing, and they identified an existing drug that knocked out the tumor.[33][34][35]

Schadt’s team was cited as the reason the Icahn School of Medicine at Mount Sinai was named #5 of the top 10 most innovative organizations in big data by Fast Company in a 2014 ranking.[36] According to the article, "The New York City hospital is bringing on top Silicon Valley talent to build a facility that will map patients’ genomes to predict diseases, reduce the number of average hospital visits, and streamline electronic medical records."

In May 2014, Schadt and his team announced the Resilience Project in collaboration with Sage Bionetworks.[37] The project is intended to perform genotyping on as many as 1 million people to find protective biological mechanisms that prevent disease-causing genetic mutations from becoming active. Participants will be healthy people age 30 and older, and the project will initially target variations linked to 127 Mendelian diseases.[38][39] Based on an analysis of publicly available data, scientists in the Resilience Project estimate that one person in 15,000 has a protective mechanism preventing activity of disease-causing genetic variants.[40]

Media appearances and awards[edit]

Schadt has appeared on CBS Morning News,[41] CNN, CBS This Morning,[34] and the Katie Couric talk show. He and his scientific projects have been profiled in the New York Times, Esquire magazine,[2] Bloomberg BusinessWeek,[42] among others,[43] and several scientific trade publications. He was executive producer and creative director of a documentary film called “The New Biology” that won a Cine Master Series Award in 2012.[44] He published a commentary in Huffington Post calling on scientists to incorporate information about RNA, proteins, metabolites and more into their genetic or clinical research, while asking the public to participate in research projects to help speed scientific discovery.[45] In 2014, he was named on the list of "The World's Most Influential Scientific Minds" by Thomson Reuters[46] and was given the Rustum Roy Spirit Award by The Chopra Foundation.[47]

Selected publications[edit]

Schadt has published more than 190 peer-reviewed papers. A few of these publications include:

A Nature Genetics paper[48] that was selected by Science as one of the top 10 breakthroughs of the year in 2005.[49]

The first publication linking a full-genome scan of methylation to a genome sequence for the E. coli microbe.[21]

One of the earliest publications using microarrays to annotate the human genome.[8]

An editorial in Molecular Systems Biology on privacy concerns in the genome era calling for improved education of legislators, expanded non-discrimination laws, and protection of patients' rights.[4]

A publication in Nature Genetics predicting a shift from genome-wide association studies to integrative, network-based association studies (INAS) that take into account more types of biological data in order to discern the cause of variation in traits and diseases.[50]

References[edit]

  1. ^ a b c d e David Ewing Duncan (2009-08-24). "Enlisting Computers to Unravel the True Complexity of Disease". The New York Times. Retrieved 2017-06-17.
  2. ^ a b c Junod, Tom (2011-03-22). "Eric Schadt Profile - Interview with Eric Schadt Pacific Biosciences". Esquire.com. Retrieved 2017-06-17.
  3. ^ a b c "The Schadt Equation | GEN". Genengnews.com. 2013-01-15. Retrieved 2017-06-17.
  4. ^ a b Schadt EE (2012). "The changing privacy landscape in the era of big data". Molecular Systems Biology. 8: 612. doi:10.1038/msb.2012.47.
  5. ^ ""Genetic Heroes" May Be Key to Treating Debilitating Diseases". Scientific American. 2014-05-30. Retrieved 2017-06-17.
  6. ^ Schadt, E. E.; Li, C.; Su, C.; Wong, W. H. (2000). "Analyzing high-density oligonucleotide gene expression array data" (PDF). Journal of Cellular Biochemistry. 80: 192–202. doi:10.1002/1097-4644(20010201)80:2<192::aid-jcb50>3.3.co;2-n.
  7. ^ Schadt, E. E.; Li, C.; Su, C.; Wong, W. H. (2001). "Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data" (PDF). Journal of Cellular Biochemistry. Supplement Suppl 37: 120–125. doi:10.1002/jcb.10073.
  8. ^ a b Shoemaker, D. D.; et al. (2001). "Experimental annotation of the human genome using microarray technology" (PDF). Nature. 409: 922–927. doi:10.1038/35057141.CS1 maint: Explicit use of et al. (link)
  9. ^ Schadt, E. E.; et al. (2003). "Genetics of gene expression surveyed in maize, mouse and man". Nature. 422: 297–302. doi:10.1038/nature01434.CS1 maint: Explicit use of et al. (link)
  10. ^ Schadt, E. E.; Monks, S. A.; Friend, S. H. (2003). "A new paradigm for drug discovery: integrating clinical, genetic, genomic and molecular phenotype data to identify drug targets". Biochemical Society Transactions. 31: 437–443. doi:10.1042/bst0310437.
  11. ^ Schadt, E. E.; Sachs, A.; Friend, S. (2005). "Embracing complexity, inching closer to reality". Science's STKE : signal transduction knowledge environment. 2005: 40. doi:10.1126/stke.2952005pe40.
  12. ^ Chen, Y.; et al. (2008). "Variations in DNA elucidate molecular networks that cause disease". Nature. 452: 429–435. doi:10.1038/nature06757. PMC 2841398.CS1 maint: Explicit use of et al. (link)
  13. ^ Emilsson, V.; et al. (2008). "Genetics of gene expression and its effect on disease". Nature. 452: 423–428. doi:10.1038/nature06758.CS1 maint: Explicit use of et al. (link)
  14. ^ Schadt, E. E. (2009). "Molecular networks as sensors and drivers of common human diseases". Nature. 461: 218–223. doi:10.1038/nature08454.
  15. ^ Yang, X.; et al. (2009). "Validation of candidate causal genes for obesity that affect shared metabolic pathways and networks". Nature Genetics. 41: 415–423. doi:10.1038/ng.325. PMC 2837947.CS1 maint: Explicit use of et al. (link)
  16. ^ Schadt, E. E.; Friend, S. H.; Shaywitz, D. A. (2009). "A network view of disease and compound screening". Nature Reviews Drug Discovery. 8: 286–295. doi:10.1038/nrd2826.
  17. ^ "Archived copy". Archived from the original on 2012-02-11. Retrieved 2013-01-30.CS1 maint: Archived copy as title (link)
  18. ^ Schadt, E. E.; Turner, S.; Kasarskis, A. (2010). "A window into third-generation sequencing". Human Molecular Genetics. 19: R227–R240. doi:10.1093/hmg/ddq416.
  19. ^ Chin, C. S.; et al. (2011). "The origin of the Haitian cholera outbreak strain". The New England Journal of Medicine. 364: 33–42. doi:10.1056/NEJMoa1012928. PMC 3030187.CS1 maint: Explicit use of et al. (link)
  20. ^ Rasko, D. A.; et al. (2011). "Origins of the E. coli strain causing an outbreak of hemolytic-uremic syndrome in Germany". The New England Journal of Medicine. 365: 709–717. doi:10.1056/NEJMoa1106920. PMC 3168948.CS1 maint: Explicit use of et al. (link)
  21. ^ a b Fang, G.; et al. (2012). "Genome-wide mapping of methylated adenine residues in pathogenic Escherichia coli using single-molecule real-time sequencing". Nature Biotechnology. 30: 1232–1239. doi:10.1038/nbt.2432.CS1 maint: Explicit use of et al. (link)
  22. ^ Schadt, E. E.; et al. (2013). "Modeling kinetic rate variation in third generation DNA sequencing data to detect putative modifications to DNA bases". Genome Research. 23: 129–141. doi:10.1101/gr.136739.111.CS1 maint: Explicit use of et al. (link)
  23. ^ "Eric Schadt, PhD, Named Director of Institute for Genomics and Multiscale Biology at The Mount Sinai Medical Center - Icahn School of Medicine at Mount Sinai". Mssm.edu. Retrieved 2017-06-17.
  24. ^ "Archived copy". Archived from the original on 2011-07-30. Retrieved 2013-01-30.CS1 maint: Archived copy as title (link)
  25. ^ a b "Archived copy". Archived from the original on 2013-02-24. Retrieved 2013-01-30.CS1 maint: Archived copy as title (link)
  26. ^ "Eric Schadt". Nature Biotechnology. 30: 769–770. 2012. doi:10.1038/nbt.2331. Retrieved 2017-06-17.
  27. ^ "Q&A: Mount Sinai's Andrew Kasarskis on Teaching Students how to Analyze their Own Genomes". GenomeWeb.com. 2012-10-24. Retrieved 2017-06-17.
  28. ^ "Genomics annual report fnl by Mount Sinai Health System". Issuu.com. 2014-05-02. Retrieved 2017-06-17.
  29. ^ "NIH funding boosts new Alzheimer's research on prevention, novel drug targets | National Institutes of Health (NIH)". Nih.gov. 2013-09-18. Retrieved 2017-06-17.
  30. ^ [1]
  31. ^ "Archived copy". Archived from the original on 2014-08-19. Retrieved 2014-08-18.CS1 maint: Archived copy as title (link)
  32. ^ "Archived copy". Archived from the original on 2014-08-19. Retrieved 2014-08-18.CS1 maint: Archived copy as title (link)
  33. ^ Warren, Mark (2013-11-20). "New Method of Cancer Treatment Tested - Stephanie Lee Cancer Profile". Esquire.com. Retrieved 2017-06-17.
  34. ^ a b "War widow "finds purpose" following Stage 4 cancer diagnosis". CBS News. 2013-12-19. Retrieved 2017-06-17.
  35. ^ "A New Way of Killing Cancer - The Leonard Lopate Show". WNYC.org. 2013-11-27. Retrieved 2017-06-17.
  36. ^ "The Most Innovative Companies of 2014 by Sector". Fast Company. Retrieved 2017-06-17.
  37. ^ Friend, Stephen H. (2014-05-30). "Clues from the resilient | Science". Sciencemag.org. Retrieved 2017-06-17.
  38. ^ "The Search for Genes That Prevent Disease". The Atlantic. 2014-05-29. Retrieved 2017-06-17.
  39. ^ "The Resilience Project | Join the Search. Be a Hero". Resilienceproject.me. 2016-04-11. Retrieved 2017-06-17.
  40. ^ "Searching For The Hidden Health Heroes Whose DNA Prevents Disease". Fastcoexist.com. 2014-05-29. Retrieved 2017-06-17.
  41. ^ "Fetal genetic code mapped: What it means for you - Videos". CBS News. 2012-06-08. Retrieved 2017-06-17.
  42. ^ "Icahn Institute's Eric Schadt on Data Analysis in Medicine - Bloomberg". Businessweek.com. 2014-03-06. Retrieved 2017-06-17.
  43. ^ "The little girl who may hold the secret to aging". Macleans.ca. 2014-07-20. Retrieved 2017-06-17.
  44. ^ "Archived copy" (PDF). Archived from the original (PDF) on 2013-01-20. Retrieved 2013-01-30.CS1 maint: Archived copy as title (link)
  45. ^ "It's Not Just the Genes | HuffPost". Huffingtonpost.com. Retrieved 2017-06-17.
  46. ^ "The World's Most Influential Scientific Minds" (PDF). Sciencewatch.com. 2014. Retrieved 2017-06-17.
  47. ^ "Archived copy". Archived from the original on 2014-10-10. Retrieved 2014-08-18.CS1 maint: Archived copy as title (link)
  48. ^ Schadt, E. E.; et al. (2005). "An integrative genomics approach to infer causal associations between gene expression and disease". Nature Genetics. 37: 710–717. doi:10.1038/ng1589.CS1 maint: Explicit use of et al. (link)
  49. ^ + See all authors and affiliations (2005-12-23). "The Runners-Up | Science". Sciencemag.org. Retrieved 2017-06-17.
  50. ^ Califano A; Butte AJ; Friend S; Ideker T; Schadt EE (2012). "Integrative Network-based Association Studies: Leveraging cell regulatory models in the post-GWAS era". Nature Genetics. 44 (8): 841–847. doi:10.1038/ng.2355.