Channing Division of Network Medicine Training Program in Systems Approaches to the Epidemiology, Genetics, and Genomics of Lung Diseases This training program is a competing continuation of a program funded by Institutional Ruth L. Kirschstein National Research Service Award T32 HL007427. The program, which has operated continuously for the past 41 years, focuses on chronic respiratory diseases that are major public health problems, asthma and chronic obstructive pulmonary disease (COPD). Asthma and COPD are linked with early childhood factors, including gender, diet, allergen exposure, and cigarette smoke exposure, as well as with genetic susceptibility; these factors influence disease expression throughout life. Based on our current knowledge of complex traits, there is a critical need for individuals trained in the application of systems approaches to epidemiology, genetics, and genomics to perform quantitative research in respiratory biology. This program is instrumental in meeting this need, successfully training independent research investigators who go on to lead their own research programs across the U.S. and Canada. The program provides research training in seven areas: systems genetics; systems biology and network modeling; transcriptomics; functional genetics; emerging Omics; epigenomics; and systems epidemiology. Six postdoctoral and two predoctoral training positions are requested in this proposal, with a typical appointment duration of three years. The trainees interact with a pool of 33 faculty members in the seven interrelated research areas. Each trainee will have the opportunity to become involved in the design, execution, and analysis of ongoing federally funded research projects as well as develop an independent career path. Trainees' research is conducted at the Channing Division of Network Medicine, a research division of the Department of Medicine at Brigham and Women's Hospital (BWH) and Harvard Medical School (HMS). Predoctoral trainees work toward a Ph.D. in network science or biostatistics or an Sc.D. in epidemiology. Postdoctoral trainees undertake didactic classroom work leading to a master of science (M.S.) in epidemiology or a master of public health (M.P.H.) degree at the Harvard School of Public Health (HSPH) or a Master of Science (M.M.Sc.) degree in bioinformatics at Harvard Medical School. After completing our program, trainees will be eligible to assume faculty positions in systems biology/biostatistics or genetics/genomics. Trainees benefit from a close relationship with the Department of Biostatistics at HSPH and the Division of Pulmonary and Critical Care Medicine at Brigham and Women's Hospital. In the past 15 years, we have had 100% retention of T32 trainees in faculty positions, with >90% of those graduates still active in medical research.

Public Health Relevance

Channing Division of Network Medicine Training Program in Systems Approaches to the Epidemiology, Genetics, and Genomics of Lung Diseases Providing appropriate training in the application of the latest quantitative data analysis methods to understand the genetic and environmental causes of major lung diseases will be essential for the next generation of leaders in respiratory population-based research. This T32 program will build on a successful track record of training with both formal didactic education and mentored research experiences. The medical researchers trained in this program have made, and will continue to make, important contributions to our understanding of asthma and COPD that will ultimately lead to more effective treatment for these diseases.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Institutional National Research Service Award (T32)
Project #
5T32HL007427-40
Application #
9969395
Study Section
NHLBI Institutional Training Mechanism Review Committee (NITM)
Program Officer
Kalantari, Roya
Project Start
1987-07-01
Project End
2021-06-30
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
40
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Trivedi, Michelle; Fung, Vicki; Kharbanda, Elyse O et al. (2018) Racial disparities in family-provider interactions for pediatric asthma care. J Asthma 55:424-429
Kho, Alvin T; McGeachie, Michael J; Moore, Kip G et al. (2018) Circulating microRNAs and prediction of asthma exacerbation in childhood asthma. Respir Res 19:128
Mirzakhani, Hooman; Carey, Vincent J; McElrath, Thomas F et al. (2018) Impact of Preeclampsia on the Relationship of Maternal Asthma with Offspring Asthma: An Observation from the VDAART Clinical Trial. Am J Respir Crit Care Med :
Trivedi, Michelle K; Sharma, Sunita; Rifas-Shiman, Sheryl L et al. (2018) Folic Acid in Pregnancy and Childhood Asthma: A US Cohort. Clin Pediatr (Phila) 57:421-427
Gray, Kathryn J; Kovacheva, Vesela P; Mirzakhani, Hooman et al. (2018) Gene-Centric Analysis of Preeclampsia Identifies Maternal Association at PLEKHG1. Hypertension 72:408-416
Vergara, Candelaria; Parker, Margaret M; Franco, Liliana et al. (2018) Genotype imputation performance of three reference panels using African ancestry individuals. Hum Genet 137:281-292
Boueiz, Adel; Chang, Yale; Cho, Michael H et al. (2018) Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression. Chest 153:65-76
Mirzakhani, Hooman; Carey, Vincent J; McElrath, Thomas F et al. (2018) The Association of Maternal Asthma and Early Pregnancy Vitamin D with Risk of Preeclampsia: An Observation From Vitamin D Antenatal Asthma Reduction Trial (VDAART). J Allergy Clin Immunol Pract 6:600-608.e2
Yun, Jeong H; Lamb, Andrew; Chase, Robert et al. (2018) Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease. J Allergy Clin Immunol 141:2037-2047.e10
Halper-Stromberg, Eitan; Yun, Jeong H; Parker, Margaret M et al. (2018) Systemic Markers of Adaptive and Innate Immunity Are Associated with Chronic Obstructive Pulmonary Disease Severity and Spirometric Disease Progression. Am J Respir Cell Mol Biol 58:500-509

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