As requested by RFA-HD-04-002 entitled """"""""Genomic and Proteomic Network for Premature Birth Research,"""""""" we propose to establish a Data Management, Statistics, and Informatics Core at Yale University as a part of the Network. We will be responsible for the central database, data analysis, and management;information technology;and coordination of the administrative activities of the Network. We have assembled a team of investigators with extensive experience in all of these areas, and we have collaborated closely and successfully in related activities. Specifically, as a part of the Network, we will (1) establish and maintain a central database, data analysis, information technology;(2) collaborate with investigators in the three clinical cores to define the study hypotheses and play a leadership role in the study design;(3) interact with investigators in the analytic core for analyzing genomic and proteomic data;(4) establish and maintain a public, web-based, genomic and proteomic database for data mining and data deposition by the research community as well as within our network;(5) participate in the steering committee of the network, coordinate and administrate activities central to the network and communicate regularly with the NICHD program staff and the network investigators;(6) participate in manuscript preparation and publication with the network investigators, and disseminate scientific results timely through the network website;(7) initiate our own research activities consistent with the goal of the RFA, namely to hasten a deeper understanding of the patho-physiology of premature birth, discover novel target molecules and diagnostic biomarkers, and ultimately aid in formulating more effective interventions to prevent premature birth.
| Manuck, Tracy A; Esplin, M Sean; Biggio, Joseph et al. (2016) Predictors of response to 17-alpha hydroxyprogesterone caproate for prevention of recurrent spontaneous preterm birth. Am J Obstet Gynecol 214:376.e1-8 |
| Esplin, M Sean; Manuck, Tracy A; Varner, Michael W et al. (2015) Cluster analysis of spontaneous preterm birth phenotypes identifies potential associations among preterm birth mechanisms. Am J Obstet Gynecol 213:429.e1-9 |
| Manuck, Tracy A; Barbour, Kelli; Janicki, Lindsay et al. (2015) Conversion of Society for Maternal-Fetal Medicine abstract presentations to manuscript publications. Am J Obstet Gynecol 213:405.e1-6 |
| Zhang, Heping; Baldwin, Don A; Bukowski, Radek K et al. (2015) A genome-wide association study of early spontaneous preterm delivery. Genet Epidemiol 39:217-26 |
| Manuck, Tracy A; Esplin, M Sean; Biggio, Joseph et al. (2015) The phenotype of spontaneous preterm birth: application of a clinical phenotyping tool. Am J Obstet Gynecol 212:487.e1-487.e11 |
| Parry, Samuel; Zhang, Heping; Biggio, Joseph et al. (2014) Maternal serum serpin B7 is associated with early spontaneous preterm birth. Am J Obstet Gynecol 211:678.e1-12 |
| Zhang, Heping; Wang, Minghui (2009) Search for the smallest random forest. Stat Interface 2:381 |
| Chen, Xiang; Liu, Ching-Ti; Zhang, Meizhuo et al. (2007) A forest-based approach to identifying gene and gene gene interactions. Proc Natl Acad Sci U S A 104:19199-203 |
| Zhang, Heping; Liu, Lei; Wang, Xueqin et al. (2007) Guideline for data analysis of genomewide association studies. Cancer Genomics Proteomics 4:27-34 |
