Since receiving the K24 award, I have established a successful clinical research and training program in patient-oriented research (POR) in rheumatic disease with a focus on genetic, biomarker, and environmental risk factors for rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). I continue to have independent grant support, and have mentored 15 new clinical investigators who have published 25 peer- reviewed papers during the K24 period. Three mentees have received NIH K awards and one has received an NIH R01. With renewal of the K24, I would continue to have protected time to devote to this program that has a unique training environment and an array of important POR projects. Genetic and environmental epidemiology studies have produced convincing evidence for multiple alleles and exposures as RA risk factors. A strong gene-environment (GXE) interaction between HLA-DRB1 alleles and smoking has been demonstrated for risk of the immune phenotype of CCP positive RA but not CCP negative RA. As CCP antibodies occur years before RA onset, I hypothesize that this interaction induces anti-citrulline immunity, a critical step in RA pathogenesis. These findings emphasize the need to study genes, environment and immunity with careful phenotyping. Family history encompasses unmeasured genetic and environmental risk, yet is not measured accurately in other studies including those in my research portfolio.
Specific aims are to: 1) Maintain and expand my clinical research training program by mentoring new clinical investigators in POR in rheumatic diseases;2) Enrich my comprehensive POR program to study family history, genetic, and environmental predictors in the etiology of RA using a new collection of RA cases and controls from Partners HealthCare;2a) Collect family history data and environmental exposure data concerning smoking and reproductive factors on 1,500 RA patients and 4,500 age- and gender-matched controls by utilizing natural language processing (NLP) queries of electronic medical records;2b: Examine genetic risk factors, environmental risk factors and GXE in predicting immune phenotypes of RA: RA with and without CCP antibodies (CCP?), and RA with and without rheumatoid factor antibodies (RF?);and 2c: Apply this comprehensive risk model to RA cases and controls and to subsets of RA stratified by specific immune phenotypes and stratified by family history of RA and other autoimmune diseases. The proposed study will leverage the NIH funded Informatics for Integrating Biology and the Bedside study that used an advanced informatics infrastructure to extract clinical data on RA diagnostic features through database mining and NLP. A highly specific algorithm was used to identify RA cases and collect samples from cases and controls. The NLP techniques will be used to extract risk factor data from clinical notes. This proposal builds on my strong track record of POR, extending the work to add family history from a new case-control collection, validate data by patient interview, and develop predictive models for risk of RA that can be used to select high risk individuals for future RA prevention trials.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Midcareer Investigator Award in Patient-Oriented Research (K24)
Project #
5K24AR052403-09
Application #
8485543
Study Section
Special Emphasis Panel (ZAR1-CHW-J (M1))
Program Officer
Witter, James
Project Start
2005-07-01
Project End
2015-05-31
Budget Start
2013-06-01
Budget End
2014-05-31
Support Year
9
Fiscal Year
2013
Total Cost
$157,939
Indirect Cost
$11,699
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Ananthakrishnan, Ashwin N; Cagan, Andrew; Cai, Tianxi et al. (2016) Statin Use Is Associated With Reduced Risk of Colorectal Cancer in Patients With Inflammatory Bowel Diseases. Clin Gastroenterol Hepatol 14:973-9
Karlson, Elizabeth W; van Schaardenburg, Dirkjan; van der Helm-van Mil, Annette H (2016) Strategies to predict rheumatoid arthritis development in at-risk populations. Rheumatology (Oxford) 55:6-15
Prescott, Jennifer; Karlson, Elizabeth W; Orr, Esther H et al. (2016) A Prospective Study Investigating Prediagnostic Leukocyte Telomere Length and Risk of Developing Rheumatoid Arthritis in Women. J Rheumatol 43:282-8
Chang, Hui-Hsin; Liu, Guang-Yaw; Dwivedi, Nishant et al. (2016) A molecular signature of preclinical rheumatoid arthritis triggered by dysregulated PTPN22. JCI Insight 1:e90045
Tedeschi, Sara K; Cui, Jing; Arkema, Elizabeth V et al. (2016) Elevated BMI and antibodies to citrullinated proteins interact to increase rheumatoid arthritis risk and shorten time to diagnosis: A nested case-control study of women in the Nurses' Health Studies. Semin Arthritis Rheum :
Lee, Yvonne C; Agnew-Blais, Jessica; Malspeis, Susan et al. (2016) Post-Traumatic Stress Disorder and Risk for Incident Rheumatoid Arthritis. Arthritis Care Res (Hoboken) 68:292-8
Ananthakrishnan, Ashwin N; Cagan, Andrew; Cai, Tianxi et al. (2016) Comparative Effectiveness of Infliximab and Adalimumab in Crohn's Disease and Ulcerative Colitis. Inflamm Bowel Dis 22:880-5
Ananthakrishnan, Ashwin N; Cagan, Andrew; Cai, Tianxi et al. (2016) Identification of Nonresponse to Treatment Using Narrative Data in an Electronic Health Record Inflammatory Bowel Disease Cohort. Inflamm Bowel Dis 22:151-8
Sparks, Jeffrey A; Karlson, Elizabeth W (2016) The Roles of Cigarette Smoking and the Lung in the Transitions Between Phases of Preclinical Rheumatoid Arthritis. Curr Rheumatol Rep 18:15
Sparks, Jeffrey A; Chang, Shun-Chiao; Deane, Kevin D et al. (2016) Associations of Smoking and Age With Inflammatory Joint Signs Among Unaffected First-Degree Relatives of Rheumatoid Arthritis Patients: Results From Studies of the Etiology of Rheumatoid Arthritis. Arthritis Rheumatol 68:1828-38

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