K award NIH Biosketch https://grants.nih.gov/grant s/forms/biosketch.htm
Karla Kerlikowske, MD Professor of Medicine and Epidemiology and Biostatistics
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K award NIH Biosketch https://grants.nih.gov/grant - - PowerPoint PPT Presentation
K award NIH Biosketch https://grants.nih.gov/grant s/forms/biosketch.htm Karla Kerlikowske, MD Professor of Medicine and Epidemiology and Biostatistics 1 What is NIH Biographical Sketch? Highly formatted component of a grant proposal
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OMB No. 0925-0001 and 0925-0002 (Rev. 09/17 Approved Through 03/31/2020)
BIOGRAPHICAL SKETCH
Provide the following information for the Senior/key personnel and other significant contributors. Follow this format for each person. DO NOT EXCEED FIVE PAGES.
NAME: Kim, Tiffany Y. eRA COMMONS USER NAME (credential, e.g., agency login): tiffany.kim POSITION TITLE: Assistant Professor of Medicine EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.) INSTITUTION AND LOCATION DEGREE
(if applicable)
Completion Date MM/YYYY FIELD OF STUDY University of California, Berkeley BA 05/2007 Molecular and Cell Biology University of Illinois at Chicago MD 05/2011 Medicine University of California, Los Angeles Residency 06/2014 Internal Medicine University of California, San Francisco Certificate 06/2016 Advanced Training in Clinical Research University of California, San Francisco Fellowship 06/2017 Endocrinology San Francisco VA Health Care System Fellowship 06/2019 Women’s Health
I am an endocrinologist, Assistant Professor of Medicine at the University of California, San Francisco (UCSF) and Staff Physician at the San Francisco VA Health Care System (SFVAHCS). My long-term goal is to become an independent clinical investigator focused on understanding mechanisms of diabetic bone disease and improving the skeletal health of people with type 2 diabetes. I am the Principal Investigator for this K23 proposal, which seeks to examine the role of bone marrow fat in diabetic bone disease.
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I am a clinician-investigator with a longstanding interest in improving cancer screening and prevention. My research has evolved from describing the unintended effects of cancer screening to studying novel approaches to screening that are informed by individual risk. My current research focuses on developing risk stratification tools to allow personalization of breast cancer screening and prevention, with a special focus on integrating circulating biomarkers and existing risk prediction models. For instance, I have shown that genetic variants and sex hormones can improve the performance of risk models based on clinical risk factors. As an investigator in the WISDOM Study, an ongoing randomized trial of personalized versus annual breast cancer screening, I am studying how to integrate risk models into clinical decision-making around screening and prevention, and whether this practice improves outcomes. This K08 proposal aims to extend my prior work by developing and validating a risk model that accounts for breast cancer phenotype, enabling screening and prevention to target the aggressive cancers most likely to cause morbidity and mortality.
2009 Oct 21; 302(15):1685-92. PMID: 19843904
cancer: hope and hype. Nat Rev Clin Oncol. 2016 Sep; 13(9):550-565. PMID: 27071351
Kerlikowske K, Ziv E. Breast cancer risk prediction using a clinical risk model and polygenic risk score. Breast Cancer Res Treat. 2016 Oct; 159(3):513-25. PMID: 27565998. PMCID: PMC5033764
Esserman LJ, Tice JA. Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial. J Natl Cancer Inst. 2017 Jan; 109(5). PMID: 28130475
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1. Genetic variants and other circulating markers in breast cancer risk
(SNPs), have been associated with breast cancer risk, but their role in informing clinical risk prediction is still being elucidated. I showed that a polygenic risk score (PRS) representing the cumulative effect of 83 SNPs had a strong association with breast cancer that was largely independent of family history and other risk factors. Moreover, incorporating the PRS into an established risk model containing clinical risk factors and breast density resulted in improved discrimination and reclassification. These results contributed to a growing evidence base that PRS may enhance risk
effects of sex hormones, SNPs, and clinical risk factors in breast cancer risk
prediction of estrogen-receptor positive breast cancers, results that could potentially be used to better identify high-risk women for chemoprevention.
Vachon CM, Cummings SR, Kerlikowske K, Ziv E. Breast cancer risk prediction using a clinical risk model and polygenic risk score. Breast Cancer Res Treat. 2016 Oct; 159(3):513-25. PMID: 27565998. PMCID: PMC5033764
E, Kerlikowske K, Cummings SR. Joint relative risks for estrogen receptor-positive breast cancer from a clinical model, polygenic risk score, and sex hormones. Breast Cancer Res Treat. 2017 Aug 08. PMID: 28791495. PMCID: PMC5669824
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Ongoing Research Support K12HL138046 NHLBI Garcia (PI) 07/01/2018-present Implementing Depression Screening and Care for Patients with CVD and Language Barriers Cardiovascular disease (CVD) and comorbid depression lead to increased morbidity and mortality. Patients with CVD and language barriers face additional challenges to obtaining care for depression in primary care. This study sought to identify ways to improve care for vulnerable patients with CVD and language barriers. Completed/Past Research Support D55HP23202 Margot Kushel (PI) Role: Research Fellow 07/01/14-06/30/17 HRSA Faculty Development in Primary Care (UCSF) This grant provided fellowship level support for three years to acquire methodological research skills in addition to mentored research experience with established investigators at the University of California, San Francisco.
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