Obi L. Griffith, Ph.D.

Assistant Professor
Internal Medicine
Oncology
Assistant Director, The Genome Institute
Genetics

Human and Statistical Genetics Program
Computational and Systems Biology Program
Molecular Genetics and Genomics Program
Molecular Cell Biology Program

  • 314-747-9248

  • 314-286-1810

  • 8501

  • 4444 Forest Park Ave Room 5140

  • obigriffith@wustl.edu

  • http://www.obigriffith.org/

  • https://twitter.com/obigriffith

  • bioinformatics, clinical statistics, machine learning, biomarkers, cancer, sequencing, software, databases, genomics, personalized medicine

  • Development of personalized medicine strategies for cancer using genomic technologies

Research Abstract:

Genome-scale technologies, with next‐generation sequencing (NGS) leading the field, have begun to inform clinical decision-making for a small number of cancer patients. The anecdotal cases currently coming out of major genome centers represent the crest of a wave that will soon spread to many institutes and hospitals. Most will find themselves drastically unprepared for the task of processing and interpreting significant numbers of tumor genomes. Data analysis and interpretation continues to be the major bottleneck. Serious practical, technical and ethical challenges remain when it comes to processing these data sets and transmitting genomic information to clinicians and patients. My research focuses on tackling these challenges in three key areas: (1) Development of tools and technologies to identify cancer-driving genomic events; (2) Development of knowledgebases for improved interpretation of cancer genomics; (3) Training the next generation of cancer informaticians and clinical genomicists.

Selected Publications:

Ainscough BJ, Griffith MϮ, Coffman AC, Wagner AH, Kunisaki J, Choudhary MNK, McMichael JF, Fulton RS, Wilson RK, Griffith OLϮ, Mardis ER. (2016). DoCM: a database of curated mutations in cancer. Nature Methods. Accepted. ϮCorresponding author.

Skidmore ZL, Wagner AH, Lesurf R, Campbell KM, Kunisaki J, Griffith OLϮ, Griffith MϮ. (2016). GenVisR: Genomic Visualizations in R. Bioinformatics. pii: btw325. [Epub ahead of print]. PMID: 27288499. ϮCorresponding author.

Griffith M*, Griffith OL*, Krysiak K, Skidmore ZL, Christopher MJ, Klco JM, Ramu A, Lamprecht TL, Wagner AH, Campbell KM, Lesurf R, Hundal J, Zhang J, Larson DE, Heath S, Fronick C, O`Laughlin S, Fulton RS, Magrini V, McGrath S, Smith SM, Miller CA, Maher CA, Payton JE, Walter MJ, Link DC, Graubert TA, Westervelt P, Kulkarni S, DiPersio JF, Mardis ER, Wilson RK, Ley TJ. (2016). Comprehensive genomic analysis reveals FLT3 activation and a therapeutic strategy for a patient with relapsed adult B-lymphoblastic leukemia. Experimental Hematology. 44(7):603-13. PMCID: PMC4914477. *These authors contributed equally to this work.

Griffith OL*Ϯ, Griffith M*, Krysiak K*, Magrini V, Ramu A, Skidmore ZL, Kunisaki J, Austin R, McGrath S, Zhang J, Demeter R, Graves T, Eldred JM, Walker J, Larson DE, Maher CA, Lin Y, Chapman W, Mahadevan A, Miksad R, Nasser I, Hanto DWϮ, Mardis ERϮ. (2016). A genomic case study of mixed fibrolamellar hepatocellular carcinoma. Annals of Oncology. 27(6):1148-54. PMCID: PMC4880064. *These authors contributed equally to this work. ϮCorresponding author.

Krysiak K, Christopher MJ, Skidmore ZL, Demeter RT, Magrini V, Kunisaki J, O’Laughlin M, Duncavage EJ, Miller CA, Ozenberger BA, Griffith M, Wartman LDϮ, Griffith OLϮ. (2016). A genomic analysis of Philadelphia chromosome-negative AML arising in patients with CML. Blood Cancer Journal. 6:e413. PMCID: PMC4855253. ϮCorresponding author.

Lesurf R, Cotto KC, Wang G, Griffith M, Kasaian K, Jones SJM, Montgomery SBϮ, Griffith OLϮ. (2016). ORegAnno 3.0: a community-driven resource for curated regulatory annotation. Nucleic Acids Research. 44(D1):D126-32. PMCID: PMC4702855. ϮCorresponding author.

Wagner AH, Coffman AC, Ainscough BJ, Spies NC, Skidmore ZL, Campbell KM, Krysiak K, Pan D, McMichael JF, Eldred JM, Walker JR, Wilson RK, Mardis ER, Griffith MϮ, Griffith OLϮ. (2016). DGIdb 2.0: a drug-dene resource for precision medicine hypothesis generation. Nucleic Acids Research. 44(D1):D1036-44. PMCID: PMC4702839. ϮCorresponding author.

Griffith MϮ, Walker JR, Spies N, Ainscough BJ, Griffith OLϮ. (2015). Informatics for RNA-seq: A web resource for analysis on the cloud. PLoS Computational Biology. 11(8):e1004393. PMCID: PMC4527835. ϮCorresponding author.

Griffith M*Ϯ, Griffith OL*Ϯ, Smith SM*, Ramu A, Callaway MB, Brummett AM, Kiwala M, Coffmann AC, Regier AA, Oberkfell BJ, Sanderson GE, Mooney TP, Nutter N, Belter EA, Du F, Long RL, Abbott TE, Ferguson I, Morton D, Burnett M, Weible JV, Peck JB, Dukes A, McMichael JF, Lolofie JT, Derickson BR, Hundall J, Skidmore ZL, Ainscough BJ, Dees ND, Schierding WS, Kandoth C, Kim K, Lu C, Harris CC, Maher N, Maher CA, Magrini VJ, Abbott BS, Chen K, Clark E, Das I, Fan X, Hawkins AE, Hepler TG, Wylie TN, Leonard S, Schroeder WE, Shi X, Carmichael KL, Weil M, Wohldstadter RW, Stiehr G, McLellan MD, Pohl CS, Miller CA, Koboldt DC, Walker JR, Eldred JM, Larson DE, Dooling DJ, Ding L, Mardis ER, Wilson RK. (2015). Genome Modeling System: A Knowledge Management Platform for Genomics. PLoS Computational Biology. 11(7): e1004274. PMCID: PMC4497734. *These authors contributed equally to this work and are listed in alphabetical order. ϮCorresponding author.

Good BM, Ainscough BJ, McMichael JF, Su AIϮ, Griffith OLϮ. (2014). Organizing knowledge to personalize medicine in cancer. Genome Biology. 15(8):438. PMCID: PMC4281950. ϮCorresponding author.

Last Updated: 8/24/2016 3:25:56 PM

The informatics and interpretation bottleneck of precision medicine. (Good et al. 2014. Genome Biology. 15(8):438)
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