Andrew Kasarskis

{{Short description|American biologist}}

{{Use mdy dates|date=October 2019}}

{{Infobox scientist

| name = Andrew Kasarskis

| image = Andrew Kasarskis-1.jpg

| birth_date = {{birth date and age|1972|11|2}}

| birth_place = Madison, Wisconsin

| work_institutions = [http://www.sema4.com Sema4]

| alma_mater = University of Kentucky
University of California, Berkeley

| citizenship = American

| field = Bioinformatics, genomics

}}

Andrew Kasarskis (born November 2, 1972) is an American biologist. He is the Chief Data Officer (CDO) at [http://www.Sema4.com Sema4].{{cite web|url=https://www.beckershospitalreview.com/healthcare-information-technology/4-hospital-execs-who-recently-left-their-roles-for-digital-health-companies.html |title=4 hospital execs who recently left their roles for digital health companies |access-date=2021-06-25}} He was previously CDO and an Executive Vice President (EVP) at the Mount Sinai Health System in New York City and, before that, vice chair of the Department of Genetics and Genomic Sciences and Co-director of the Icahn Institute for Genomics and Multiscale Biology at the Icahn School of Medicine at Mount Sinai.{{cite web|url=http://icahn.mssm.edu/profiles/andrew-kasarskis |title=Andrew Kasarskis - Icahn School of Medicine at Mount Sinai |publisher=Icahn.mssm.edu |access-date=2013-06-10}} Kasarskis is known for taking a network-based approach to biology and for directing the first medical school class offering students the opportunity to fully sequence and analyze their own genomes.{{cite web|author=Nicholas Tatonetti |url=http://www.genomeweb.com/sequencing/qa-mount-sinais-andrew-kasarskis-teaching-students-how-analyze-their-own-genomes |title=Q&A: Mount Sinai's Andrew Kasarskis on Teaching Students how to Analyze their Own Genomes | Clinical Sequencing News | Sequencing |date=October 24, 2012 |publisher=GenomeWeb |access-date=2013-06-10}}

Early life and education

Kasarskis completed bachelor's degrees in chemistry and biology at the University of Kentucky in 1992. In 1998, he completed his PhD in molecular and cell biology at the University of California, Berkeley, under the supervision of Kathryn Anderson.

Career and research

Throughout his career in industry and academia, Kasarskis' research has focused on the use of genetic and genomic data together with high-performance computing and advanced analytical tools to address biomedical needs and improve clinical treatment.

After completing his PhD in 1998, Kasarskis worked at Stanford University for two years, contributing to the development of various genome databases. In 2000, he entered industry, working in computational biology at DoubleTwist and later Rosetta Inpharmatics (acquired by Merck Research Laboratories). His work there centered on generating and mining complex biological data sets and using that information to build, predict, and model human disease. Kasarskis also worked for Sage Bionetworks and Pacific Biosciences before returning to academia.{{cite web|url=http://www.stanford.edu/class/biomedin206/bios_2010.html |title=BIOMEDIN 206: Informatics in Industry - Stanford University |publisher=Stanford.edu |access-date=2013-06-10}}

In 2011, Kasarskis became Vice Chair of the Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai and Co-director, along with Eric Schadt, of the Icahn Institute for Genomics and Multiscale Biology, where Kasarskis's research focuses on improving health outcomes through better data mining, and his research program includes sequencing-based pathogen surveillance; pharmacogenomics; electronic health records; and systems biology of sleep, behavior, and stress. In 2019, Kasarskis was appointed Chief Data Officer and Executive Vice President of Mount Sinai Health System,{{Cite web|url=https://www.mountsinai.org/about/newsroom/2019/mount-sinai-accelerates-datadriven-discovery-and-patient-care-with-new-chief-data-officer-role|title=Mount Sinai Accelerates Data-driven Discovery and Patient Care with New Chief Data Officer Role {{!}} Mount Sinai - New York|website=Mount Sinai Health System|language=en-US|access-date=2019-09-09}} where he leads efforts to improve clinical data infrastructure{{Cite web|url=https://www.genomeweb.com/informatics/qa-mount-sinai-chief-data-officer-andrew-kasarskis-his-new-role|title=Q&A: Mount Sinai Chief Data Officer Andrew Kasarskis on New Role|website=GenomeWeb|date=June 26, 2019|language=en-us|access-date=2019-09-09}} and leverage data to improve patient outcomes while accelerating research and innovation.{{Cite web|url=https://www.mountsinai.org/about/newsroom/2019/mount-sinai-accelerates-datadriven-discovery-and-patient-care-with-new-chief-data-officer-role|title=Mount Sinai Accelerates Data-driven Discovery and Patient Care with New Chief Data Officer Role {{!}} Mount Sinai - New York|website=Mount Sinai Health System|language=en-US|access-date=2019-09-09}}{{Cite web|url=https://www.beckershospitalreview.com/hospital-executive-moves/mount-sinai-health-system-selects-first-chief-data-officer-6-things-to-know.html|title=Mount Sinai Health System selects first chief data officer: 6 things to know|website=www.beckershospitalreview.com|access-date=2019-09-09}}

Kasarskis is known for directing the first graduate course that allowed medical and PhD students to fully sequence and analyze their own genomes, along with co-instructors Michael Linderman, George Diaz, Ali Bashir, and Randi Zinberg. He has said that courses like this will be critical for training teams of people capable of performing this type of analysis in a medical setting. He chose whole genome sequencing because he expects the more limited exome sequencing will not be a relevant technological approach in the long term.

Kasarskis has called for improvements to informed consent protocols in patient research based on the concept that studies involving DNA cannot fully be made anonymous. He was quoted in the journal Nature saying, "We need to move beyond an assumption that you cannot be identified from the data that exist about you and really work to make sure that we're protecting people's rights in ways that allow us to use the data that are out there for individuals' and researchers' benefit."{{cite journal |url=http://www.nature.com/news/open-data-project-aims-to-ease-the-way-for-genomic-research-1.10507 |title=Open-data project aims to ease the way for genomic research |journal=Nature News |publisher=Nature.com |date=2012-04-25 |access-date=2013-06-10|doi=10.1038/nature.2012.10507 |last1=Check Hayden |first1=Erika |s2cid=211728919 |url-access=subscription }}

In 2019, Kasarskis joined a five-year collaborative study with Mount Sinai Health System, Sanofi, and Sema4, aimed to provide insights into the biological mechanisms of asthma using diverse data sets such as clinical data, genomics, immunological environmental, and sensor data from devices to carryout advanced network modeling of the disease. Kasarskis reported that understanding the molecular basis of clinical subtypes of asthma in the study would enable better management of asthma and could provide opportunities to discover new treatments for the disease. {{Cite web|url=https://www.mountsinai.org/about/newsroom/2018/sanofi-sema4-mount-sinai-collaborate-on-largest-asthma-study-of-its-kind|title=Sanofi, Sema4, Mount Sinai Collaborate on Largest Asthma Study of Its Kind {{!}} Mount Sinai - New York|website=Mount Sinai Health System|language=en-US|access-date=2019-09-09}}

In 2020, the molecular pathogen surveillance program Kasarskis had established with Dr. Harm van Bakel and others at the Mount Sinai Health System clearly demonstrated that SARS-CoV2, the virus causing COVID-19, was introduced to the New York Metropolitan Area not from Asia but predominately from Europe, with some contribution from other United States regions.{{cite news|url=https://www.nytimes.com/2020/04/08/science/new-york-coronavirus-cases-europe-genomes.html |title=Most New York Coronavirus Cases Came From Europe, Genomes Show|website=New York Times|date=April 9, 2020|access-date=2021-06-25|last1=Zimmer|first1=Carl}} The ensuing research paper was published in the journal Science.{{cite journal|title=Introductions and early spread of SARS-CoV-2 in the New York City area|journal=Science|year=2020|doi=10.1126/science.abc1917|last1=Gonzalez-Reiche|first1=Ana S.|last2=Hernandez|first2=Matthew M.|last3=Sullivan|first3=Mitchell J.|last4=Ciferri|first4=Brianne|last5=Alshammary|first5=Hala|last6=Obla|first6=Ajay|last7=Fabre|first7=Shelcie|last8=Kleiner|first8=Giulio|last9=Polanco|first9=Jose|last10=Khan|first10=Zenab|last11=Alburquerque|first11=Bremy|last12=Van De Guchte|first12=Adriana|last13=Dutta|first13=Jayeeta|last14=Francoeur|first14=Nancy|last15=Melo|first15=Betsaida Salom|last16=Oussenko|first16=Irina|last17=Deikus|first17=Gintaras|last18=Soto|first18=Juan|last19=Sridhar|first19=Shwetha Hara|last20=Wang|first20=Ying-Chih|last21=Twyman|first21=Kathryn|last22=Kasarskis|first22=Andrew|last23=Altman|first23=Deena R.|last24=Smith|first24=Melissa|last25=Sebra|first25=Robert|last26=Aberg|first26=Judith|last27=Krammer|first27=Florian|last28=García-Sastre|first28=Adolfo|last29=Luksza|first29=Marta|last30=Patel|first30=Gopi|volume=369|issue=6501|pages=297–301|pmid=32471856|pmc=7259823|bibcode=2020Sci...369..297G|display-authors=1}}

Selected publications

= Pharmacogenomics =

  • {{Cite journal | doi=10.1038/nature11016| pmid=22504184| pmc=3390926| title=Validation of ITD mutations in FLT3 as a therapeutic target in human acute myeloid leukaemia| journal=Nature| volume=485| issue=7397| pages=260–263| year=2012| last1=Smith| first1=Catherine C.| last2=Wang| first2=Qi| last3=Chin| first3=Chen-Shan| last4=Salerno| first4=Sara| last5=Damon| first5=Lauren E.| last6=Levis| first6=Mark J.| last7=Perl| first7=Alexander E.| last8=Travers| first8=Kevin J.| last9=Wang| first9=Susana| last10=Hunt| first10=Jeremy P.| last11=Zarrinkar| first11=Patrick P.| last12=Schadt| first12=Eric E.| last13=Kasarskis| first13=Andrew| last14=Kuriyan| first14=John| last15=Shah| first15=Neil P.| bibcode=2012Natur.485..260S}}
  • {{cite journal|title=Integrative genomics strategies to elucidate the complexity of drug response |journal=Pharmacogenomics |volume=12 |issue=12 |pages=1695–1715 |doi=10.2217/pgs.11.115 |pmid=22118053 |year=2011 |last1=Kasarskis |first1=Andrew |last2=Yang |first2=Xia |last3=Schadt |first3=Eric |doi-access=free }}
  • {{Cite journal | doi=10.1038/nbt.2403| pmid=23138292| pmc=3827024| title=Assuring the quality of next-generation sequencing in clinical laboratory practice| journal=Nature Biotechnology| volume=30| issue=11| pages=1033–1036| year=2012| last1=Gargis| first1=Amy S.| last2=Kalman| first2=Lisa| last3=Berry| first3=Meredith W.| last4=Bick| first4=David P.| last5=Dimmock| first5=David P.| last6=Hambuch| first6=Tina| last7=Lu| first7=Fei| last8=Lyon| first8=Elaine| last9=Voelkerding| first9=Karl V.| last10=Zehnbauer| first10=Barbara A.| last11=Agarwala| first11=Richa| last12=Bennett| first12=Sarah F.| last13=Chen| first13=Bin| last14=Chin| first14=Ephrem L H.| last15=Compton| first15=John G.| last16=Das| first16=Soma| last17=Farkas| first17=Daniel H.| last18=Ferber| first18=Matthew J.| last19=Funke| first19=Birgit H.| last20=Furtado| first20=Manohar R.| last21=Ganova-Raeva| first21=Lilia M.| last22=Geigenmüller| first22=Ute| last23=Gunselman| first23=Sandra J.| last24=Hegde| first24=Madhuri R.| last25=Johnson| first25=Philip L F.| last26=Kasarskis| first26=Andrew| last27=Kulkarni| first27=Shashikant| last28=Lenk| first28=Thomas| last29=Liu| first29=C S Jonathan| last30=Manion| first30=Megan| display-authors=29}}

= Pathogens =

  • {{cite journal |last1=Gonzalez-Reiche |first1=Ana S.|date=July 17, 2020 |title=Introductions and early spread of SARS-CoV-2 in the New York City area |journal=Science |volume=369 |issue=6501 |pages=297–301 |doi=10.1126/science.abc1917 |pmid=32471856|pmc=7259823 |bibcode=2020Sci...369..297G}}
  • {{Cite journal|last1=Chacko|first1=Kieran|last2=Van Bakel|first2=Harm|last3=Sullivan|first3=Mitchell|last4=Chacko|first4=Andrew|last5=Kasarskis|first5=Collen|last6=Altman|first6=Deena|last7=Ciferri|first7=Brianne|last8=Pak|first8=Theodore|last9=Sebra|first9=Robert|date=March 27, 2018|title=Genetic Basis of Emerging Vancomycin, Linezolid, and Daptomycin Heteroresistance in a Case of Persistent Enterococcus faecium Bacteremia.|journal=Antimicrob Agents Chemother|volume=62|issue=4|doi=10.1128/AAC.02007-17|pmc=5913925|pmid=29339387}}
  • {{Cite journal|last1=Pak|first1=Theodore R.|last2=Kasarskis|first2=Andrew|date=2015-12-01|title=How next-generation sequencing and multiscale data analysis will transform infectious disease management|journal=Clinical Infectious Diseases |volume=61|issue=11|pages=1695–1702|doi=10.1093/cid/civ670|issn=1537-6591|pmc=4643486|pmid=26251049}}
  • {{Cite journal|last1=Pak|first1=Theodore R.|last2=Chacko|first2=Kieran I.|last3=O'Donnell|first3=Timothy|last4=Huprikar|first4=Shirish S.|last5=van Bakel|first5=Harm|last6=Kasarskis|first6=Andrew|last7=Scott|first7=Erick R.|date=December 2017|title=Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records|journal=Infection Control and Hospital Epidemiology|volume=38|issue=12|pages=1478–1486|doi=10.1017/ice.2017.214|issn=1559-6834|pmc=5923033|pmid=29103378}}
  • {{cite journal|title=Origins of the E. coli Strain Causing an Outbreak of Hemolytic–Uremic Syndrome in Germany |journal=New England Journal of Medicine |volume=365 |issue=8 |pages=709–717 |doi=10.1056/NEJMoa1106920 |pmid=21793740 |pmc=3168948 |year=2011 |last1=Rasko |first1=David A. |last2=Webster |first2=Dale R. |last3=Sahl |first3=Jason W. |last4=Bashir |first4=Ali |last5=Boisen |first5=Nadia |last6=Scheutz |first6=Flemming |last7=Paxinos |first7=Ellen E. |last8=Sebra |first8=Robert |last9=Chin |first9=Chen-Shan |last10=Iliopoulos |first10=Dimitris |last11=Klammer |first11=Aaron |last12=Peluso |first12=Paul |last13=Lee |first13=Lawrence |last14=Kislyuk |first14=Andrey O. |last15=Bullard |first15=James |last16=Kasarskis |first16=Andrew |last17=Wang |first17=Susanna |last18=Eid |first18=John |last19=Rank |first19=David |last20=Redman |first20=Julia C. |last21=Steyert |first21=Susan R. |last22=Frimodt-Møller |first22=Jakob |last23=Struve |first23=Carsten |last24=Petersen |first24=Andreas M. |last25=Krogfelt |first25=Karen A. |last26=Nataro |first26=James P. |last27=Schadt |first27=Eric E. |last28=Waldor |first28=Matthew K. }}
  • {{cite journal|title=The origin of the Haitian cholera outbreak strain |journal=New England Journal of Medicine |volume=364 |issue=1 |pages=33–42 |doi=10.1056/NEJMoa1012928 |pmid=21142692 |pmc=3030187 |year=2011 |last1=Chin |first1=Chen-Shan |last2=Sorenson |first2=Jon |last3=Harris |first3=Jason B. |last4=Robins |first4=William P. |last5=Charles |first5=Richelle C. |last6=Jean-Charles |first6=Roger R. |last7=Bullard |first7=James |last8=Webster |first8=Dale R. |last9=Kasarskis |first9=Andrew |last10=Peluso |first10=Paul |last11=Paxinos |first11=Ellen E. |last12=Yamaichi |first12=Yoshiharu |last13=Calderwood |first13=Stephen B. |last14=Mekalanos |first14=John J. |last15=Schadt |first15=Eric E. |last16=Waldor |first16=Matthew K. }}

= Complex disease =

  • {{Cite journal|last1=Scarpa|first1=Joseph R.|last2=Jiang|first2=Peng|last3=Losic|first3=Bojan|last4=Readhead|first4=Ben|last5=Gao|first5=Vance D.|last6=Dudley|first6=Joel T.|last7=Vitaterna|first7=Martha H.|last8=Turek|first8=Fred W.|last9=Kasarskis|first9=Andrew|date=July 2016|title=Systems Genetic Analyses Highlight a TGFβ-FOXO3 Dependent Striatal Astrocyte Network Conserved across Species and Associated with Stress, Sleep, and Huntington's Disease|journal=PLOS Genetics|volume=12|issue=7|pages=e1006137|doi=10.1371/journal.pgen.1006137|issn=1553-7404|pmc=4938493|pmid=27390852 |doi-access=free }}
  • {{Cite journal|last1=Michlmayr|first1=Daniela|last2=Pak|first2=Theodore R.|last3=Rahman|first3=Adeeb H.|last4=Amir|first4=El-Ad David|last5=Kim|first5=Eun-Young|last6=Kim-Schulze|first6=Seunghee|last7=Suprun|first7=Maria|last8=Stewart|first8=Michael G.|last9=Thomas|first9=Guajira P.|date=27 August 2018|title=Comprehensive innate immune profiling of chikungunya virus infection in pediatric cases|journal=Molecular Systems Biology|volume=14|issue=8|pages=e7862|doi=10.15252/msb.20177862|issn=1744-4292|pmc=6110311|pmid=30150281}}
  • {{cite journal|title=Pharmacological validation of candidate causal sleep genes identified in an N2 cross |journal=Journal of Neurogenetics |pmc=3568991 | pmid=22091728 |doi=10.3109/01677063.2011.628426 |volume=25 |issue=4 |year=2011 |pages=167–81 | last1 = Brunner | first1 = JI | last2 = Gotter | first2 = AL | last3 = Millstein | first3 = J | last4 = Garson | first4 = S | last5 = Binns | first5 = J | last6 = Fox | first6 = SV | last7 = Savitz | first7 = AT | last8 = Yang | first8 = HS | last9 = Fitzpatrick | first9 = K | last10 = Zhou | first10 = L | last11 = Owens | first11 = JR | last12 = Webber | first12 = AL | last13 = Vitaterna | first13 = MH | last14 = Kasarskis | first14 = A | last15 = Uebele | first15 = VN | last16 = Turek | first16 = F | last17 = Renger | first17 = JJ | last18 = Winrow | first18 = CJ}}

References