Atul Butte

Administrative Appointments

• Associate Director, CTSA Translational Informatics Program, Stanford Center for Clinical and Translational Education and Research (2008 - present)
• Director, Biomedical Informatics Scholarly Area (2007 - present)
• Board of Directors, American Medical Informatics Association (2007 - present)
• Scientific Program Committee, American Medical Informatics Association (2007 - 2007)
• Study Section Reviewer, NIH Biomedical Computing and Health Informatics Study Section (2005 - 2009)
View All 11administrative appointments of Atul Butte

Honors and Awards

• Elected Fellow, American College of Medical Informatics (2009)
• New Investigator Award, American Medical Informatics Association (2008)
• Tomorrow's Principal Investigator, Genome Technology Magazine (2007)
• HHMI Physician-Scientist Early Career Award, Howard Hughes Medical Institute (2006-2011)
• Research Starter Grant in Informatics, Pharmaceutical Research and Manufacturers of America Foundation (2006-2008)

Professional Education

Postdoctoral Advisees

Annie Chiang, Purveshkumar Khatri, David Ruau, Shai Shen-Orr, Silpa Suthram, Shivkumar Venkatasubrahmanyam

Graduate & Fellowship Program Affiliations

• Biomedical Informatics
• Cancer Biology
• Immunology
• Medicine
• Pediatrics
• Bioengineering

Web Site Links

• Laboratory Site / Project Descriptions

Industry Relationships

Stanford is committed to ethical and transparent interactions with our industry partners. It is our policy to disclose payments of $5,000 or more, equity valued at $5,000 or more in a publicly traded company, or any equity in a privately held company, to physicians and scientists employed by Stanford University from companies or other commercial entities with which they interact as part of their professional activities. View Full Information

Research Interests

Translational bioinformatics has been defined as the development of analytic, storage, and interpretive methods to optimize the transformation of increasingly voluminous genomic and biological data into diagnostics and therapeutics for the clinician. The long-term research goal of the Butte Lab is to develop translational bioinformatics methods to reason over many available genome-scale measurement and experimental modalities, and apply these methods to study complex disorders in genomic medicine, especially obesity and type 2 diabetes mellitus.

Dr. Butte's laboratory focuses on solving problems relevant to genomic medicine by developing new methodologies in translational bioinformatics. The Butte Lab currently has been funded by HHMI and under five NIH grants. The Butte Lab has developed bioinformatics methods to take genomic, genetic, phenotypic, and RNAi data from multiple sources and phenotypes and reason over these data. Example of this method include our work on cancer drug discovery published in the Proceedings of the National Academy of Science (2000), on type 2 diabetes mellitus published in the Proceedings of the National Academy of Science (2003), on fat cell formation published in Nature Cell Biology (2005), on obesity in Bioinformatics (2007), and in transplantation published in Proceedings of the National Academy of Science (2009). To facilitate this, the Butte Lab has developed tools to automatically index and find genomic data sets based on the phenotypic and contextual details of each experiment, published in Nature Biotechnology (2006), and in re-mapping microarray data, published in Nature Methods (2007). The Butte Lab has also been developing novel methods in comparing clinical data from electronic health record systems with gene expression data, as described in Science (2008).

Clinical Trials

• Genome, Proteome and Tissue Microarray in Childhood Acute Leukemia Recruiting

Publications

• Relationship of differential gene expression profiles in CD34+ myelodysplastic syndrome marrow cells to disease subtype and progression. Sridhar K, Ross DT, Tibshirani R, Butte AJ, Greenberg PL. Blood. 2009
• Protein microarrays identify antibodies to protein kinase Czeta that are associated with a greater risk of allograft loss in pediatric renal transplant recipients. Sutherland SM, Li L, Sigdel TK, Wadia PP, Miklos DB, Butte AJ, Sarwal MM. Kidney Int. 2009
• C3 polymorphisms and outcomes of renal allografts. Naesens M, Butte AJ, Sarwal MM. N Engl J Med. 2009; 360 (23): 2478; author reply 2478-9
• Wiskott-Aldrich syndrome protein is an effector of Kit signaling. Mani M, Venkatasubrahmanyam S, Sanyal M, Levy S, Butte A, Weinberg K, Jahn T. Blood. 2009; 114 (14): 2900-8
• Infection in the intensive care unit alters physiological networks. Grossman AD, Cohen MJ, Manley GT, Butte AJ. BMC Bioinformatics. 2009: 10 Suppl 9 S4