The Bioinformatics Core aims to provide statistical expertise and programming support via a transdisciplinary approach during the implementation of projects 1 to 4, as well as during TREC pilot studies.
The specific aims are: 1). To provide statistical and methodological support to the Harvard TREC Center, and develop new methods of answering research questions raised by the Center;2). To interface epidemiology, basic sciences, and clinical medicine, and ensure that sound statistical methods are incorporated into all research and training activities at the TREC Center;3). To manage and maintain large data sets appropriate for use in secondary epidemiologic analyses regarding obesity and energetic issues, and for developing and refining measures of obesity and cancer-related phenotypes;and 4). To ensure timely sharing of data and their submission for centralized data collection at the Coordinating Center. Under the leadership of Dr. Bernard Rosner, Core members will meet monthly to review statistical and measurement issues across the projects. Members will participate in the annual retreat with presentations on state-of-the-art statistical methodology systems and multilevel analysis. Individual statisticians will meet regularly with the research teams they support and with the lead investigators of each developmental project. The Bioinformatics team has worked closely with all Project Leaders in developing the statistical methods and power calculations described in the proposals. The Core will actively participate in transdisciplinary research as an integral part ofthe TREC Center and will develop new methods (or apply existing methods in novel ways across projects), with a particular focus of working with pilot study recipients and new investigators.
|Song, Mingyang; Gong, Jian; Giovannucci, Edward L et al. (2015) Genetic variants of adiponectin and risk of colorectal cancer. Int J Cancer 137:154-64|
|Cao, Yin; Lindström, Sara; Schumacher, Fredrick et al. (2014) Insulin-like growth factor pathway genetic polymorphisms, circulating IGF1 and IGFBP3, and prostate cancer survival. J Natl Cancer Inst 106:dju085|
|Fontana, Luigi; Hu, Frank B (2014) Optimal body weight for health and longevity: bridging basic, clinical, and population research. Aging Cell 13:391-400|
|Jackson, Chandra L; Yeh, Hsin-Chieh; Szklo, Moyses et al. (2014) Body-Mass Index and All-Cause Mortality in US Adults With and Without Diabetes. J Gen Intern Med 29:25-33|
|Sun, Qi; Wedick, Nicole M; Pan, An et al. (2014) Gut microbiota metabolites of dietary lignans and risk of type 2 diabetes: a prospective investigation in two cohorts of U.S. women. Diabetes Care 37:1287-95|
|Jackson, Chandra L; Hu, Frank B; Redline, Susan et al. (2014) Racial/ethnic disparities in short sleep duration by occupation: the contribution of immigrant status. Soc Sci Med 118:71-9|
|Satija, Ambika; Hu, Frank B (2014) Big data and systematic reviews in nutritional epidemiology. Nutr Rev 72:737-40|
|Jeon, Justin Y; Meyerhardt, Jeffrey A (2014) Can we change the past for colorectal cancer patients and how do we move forward? Cancer 120:1450-2|
|Pan, An; Kawachi, Ichiro; Luo, Nan et al. (2014) Changes in body weight and health-related quality of life: 2 cohorts of US women. Am J Epidemiol 180:254-62|
|Jackson, Chandra L; Kawachi, Ichiro; Redline, Susan et al. (2014) Asian-White disparities in short sleep duration by industry of employment and occupation in the US: a cross-sectional study. BMC Public Health 14:552|
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