Jennifer Lee

Jennifer Lee, MD PhD, Associate Professor, Department of Medicine and, by courtesy, of Epidemiology and Population Health, Stanford University School of Medicine; Associate Chief of Staff for Research, VA Palo Alto Health Care System

Research description: Dr. Lee is a clinician scientist with clinical practice in endocrinology clinic and inpatient endocrinology consultation service for 15 years. At Stanford Medical Center, she conducts clinical and molecular/genetic epidemiology research that align well with the Stanford Diabetes Research Center. Her group strives for a bidirectional learning healthcare system with close partnerships among research activities, quality and process improvement, and clinical operations of health care system She chairs a VA national research initiative - Leverage Electronic Health Data to Advance Precision Medicine (LEAP). LEAP is creating a national electronic health record data resource and advancing rigorous data science methods to provide real-world evidence. The primary focus is characterizing, mapping, and predicting glycemic dysregulation, cardiometabolic conditions, and related outcomes, such as cancers, longitudinally. She is also the PI for a national Million Veteran Program (MVP) study to evaluate semi-automation tools for accurate phenotyping in EHR data and a Co-I for an MVP study of the genetic and clinical risks of cardiometabolic conditions. She is also primary PI of the VA Epidemiology, Immunology and Clinical Characteristics of COVID-19 (EPICCC) study, a national multi-site longitudinal observational cohort study of the virology, immunology, transmission dynamics, and clinical outcomes related to SARS-CoV-2 infection and related COVID-19 clinical syndrome. She is the VA Palo Alto site PI for the NIH’s All of Us initiative. She serves as co-site Director of VA-NCI Big Data Scientist Training and Enhancement Program (BD-STEP) at Palo Alto. She is involved in clinical operations activities, on various task forces and data access committees, to facilitate population and precision health care and research activities.

Selected relevant publications (SDRC Members in BOLD): 

  1. Valderrábano RJ, Buzkova P, Chang PY, Zakai NA, Fink HA, Robbins JA, Wu JY, Lee JS; Cardiovascular Health Study group. Associations of hemoglobin and change in hemoglobin with risk of incident hip fracture in older men and women: the cardiovascular health study. Osteoporos Int. 2021 Feb 12. doi: 10.1007/s00198-021-05873-y. PMID: 33576845. 

  2. Serper M, Vujkovic M, Kaplan DE, Carr RM, Lee KM, Shao Q, Miller DR, Reaven PD, Phillips LS, O'Donnell CJ, Meigs JB, Wilson PWF, Vickers-Smith R, Kranzler HR, Justice AC, Gaziano JM, Muralidhar S, Pyarajan S, DuVall SL, Assimes TL, Lee JS, Tsao PS, Rader DJ, Damrauer SM, Lynch JA, Saleheen D, Voight BF, Chang KM; VA Million Veteran Program. Validating a non-invasive, ALT-based non-alcoholic fatty liver phenotype in the million veteran program. PLoS One. 2020 Aug 25;15(8):e0237430. doi: 10.1371/journal.pone.0237430. PMID: 32841307; PMCID: PMC7447043. 

  3. Klarin D, Damrauer SM, Cho K, Sun YV, Teslovich TM, Honerlaw J, Gagnon DR, DuVall SL, Li J, Peloso GM, Chaffin M, Small AM, Huang J, Tang H, Lynch JA, Ho YL, Liu DJ, Emdin CA, Li AH, Huffman JE, Lee JS, Natarajan P, Chowdhury R, Saleheen D, Vujkovic M, Baras A, Pyarajan S, Di Angelantonio E, Neale BM, Naheed A, Khera AV, Danesh J, Chang KM, Abecasis G, Willer C, Dewey FE, Carey DJ; Global Lipids Genetics Consortium; Myocardial Infarction Genetics (MIGen) Consortium; Geisinger-Regeneron DiscovEHR Collaboration; VA Million Veteran Program, Concato J, Gaziano JM, O'Donnell CJ, Tsao PS, Kathiresan S, Rader DJ, Wilson PWF, Assimes TL. Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program. Nat Genet. 2018 Nov;50(11):1514-1523. doi: 10.1038/s41588-018-0222-9. PMID: 30275531; PMCID: PMC6521726.