PheMAP–high-throughput Phenotyping by Measured, Automated Profile

PheMAP is a general, automatic, and portable approach to enable accurate high-throughput phenotyping within electronic health records (EHR). PheMAP quantifies relationships between phenotypes and relevant clinical concepts represented by standard medical terminologies. For each individual, PheMAP assigns a score and probability of having a particular phenotype from identified related concepts within EHRs.

Jun Qian, PhD

Jun
Qian
Ph.D.
Sr. Staff Scientist
Biomedical Informatics
2525 West End, Suite 1500
Nashville
Tennessee
37203
jun.qian@vumc.org

Peter C. Louis, MD, JD

Peter
C.
Louis
M.D., J.D.
Postdoctoral Research Fellow
Vanderbilt Genomic Medicine Training Program
Department of Biomedical Informatics
2525 West End, Suite 1500
Nashville
Tennessee
37203
peter.c.louis@vumc.org

Sarah DeLozier

Sarah
DeLozier
Statistical Genetic Analyst
Biomedical Informatics
2525 West End, Suite 1500
Nashville
Tennessee
37203
sarah.b.delozier@vumc.org

Neil Zheng

Neil
Zheng
Associate Application Developer
Biomedical Informatics
2525 West End, Suite 1500
Nashville
Tennessee
37203
neil.zheng@vumc.org

Josh F. Peterson, MD, MPH, FACMI, FAMIA

Josh
F.
Peterson
M.D.
Professor
Department of Biomedical Informatics
Professor
Department of Medicine
Director
Center for Precision Medicine
Vice President for Personalized Medicine
2525 West End Ave, Suite 1500
Nashville
Tennessee
37203
josh.peterson@vumc.org

Josh F. Peterson, MD, MPH, is a Professor of Biomedical Informatics and Medicine in the School of Medicine at Vanderbilt University Medical Center and he is a Fellow of the American College of Medical Informatics. Dr. Peterson received his M.D. through the Vanderbilt University School of Medicine (VUMC) in 1997 and completed an Internal Medicine residency at Duke University Medical Center, a fellowship in General Internal Medicine at the Brigham and Women’s Hospital, and a Master of Public Health degree at the Harvard School of Public Health. Dr. Peterson’s research interests are in precision medicine with a focus on developing systems of care to improve drug safety and efficacy and the translation of genomic technologies to routine practice. He serves as the Vice-President for Personalized Medicine and the Director for the Center for Precision Medicine at VUMC where he develops systems of care to translate genomic technologies to routine practice. He currently serves as a principal investigator for RISE, an NIH-funded project to simulate the clinical impact and cost-effectiveness of performing sequencing across large populations over their lifetime. He is also active within a variety of NHGRI sponsored research consortia, including eMERGE where he leads the Coordinating Center, and IGNITE Network where he is principal investigator of the I3P Clinical Site and serves as Network Chair. In these capacities, he is conducting cohort studies and randomized clinical trials to test novel genomic medicine interventions. Dr. Peterson was also the founding Program Director for the Master of Applied Clinical Informatics (MSACI) which trains physicians and other health professionals in the field of Clinical Informatics, and currently serves as Program Director for the Vanderbilt Genomic Medicine training program. 

 

PUBLICATIONS

 

Sandip Chaugai, M.D.

Sandip
Chuagai
M.D.
Staff Scientist
Biomedical Informatics
2525 West End Ave, Suite 1500
Nashville
Tennessee
37203
sandip.chaugai@vumc.org

Lina Sulieman, PhD

Lina
Sulieman
PhD
Research Assistant Professor
Biomedical Informatics
Office Address
2525 West End Ave, Suite 1500
Nashville
Tennessee
37203
lina.sulieman@vumc.org

Eric R. Gamazon, PhD, MS

Eric
R.
Gamazon
PhD, MS
Associate Professor
Medicine, Division of Genetic Medicine
Office Address
514 Light Hall
2215 Garland Avenue
Vanderbilt Genetics Institute
Nashville
Tennessee
37232
eric.gamazon@vumc.org

Eric R. Gamazon, PhD, MS is a tenured member of the faculty of the Division of Genetic Medicine at Vanderbilt University Medical Center. He is a Life Member of Clare Hall, University of Cambridge.

He is interested in what can be learned from DNA sequence and multi-omics data about disease mechanism, therapeutic intervention, molecular evolution, and genome function. An ongoing project involves understanding the effect of genetic variation on gene regulation across tissues and cell types to gain insights into disease mechanisms and therapeutic targets. He utilizes large-scale DNA biobank data linked to electronic health records, along with data science and computation, to identify genes involved in human health and disease in diverse populations, to discover novel biomarkers, and to enable a comprehensive systems view of the disease phenome.

His laboratory is an interdisciplinary group with expertise in computational genomics and molecular biology. The lab has been the research training ground for a Barry Goldwater Scholar, a Fulbright Scholar, and a NARSAD Young Investigator Grant recipient. See https://my.vanderbilt.edu/ericgamazon/ for more information. 

He co-chaired the GWAS Working Group of the GTEx Consortium and has served on various National Institutes of Health (NIH) study sections. He was a recipient (2019) of the inaugural Genomic Innovator Award from the NIH.

 

Philip O. Adejumo

Philip
O.
Adejumo
Research Analyst
2525 West End Ave, Suite 1500
Room / Suite
1500
Nashville
Tennessee
37203
philip.o.adejumo@vumc.org