This proposal is submitted to create an Analytical Core, which will serve the Genomic and Proteomics Network for Premature Birth Research. The Analytical Core will have five components that will meet the needs for 1) sample processing, storage and distribution/retrieval;2) high-throughput genotyping and interpretation of genetic studies;3) microarray analysis and data mining;4) proteomics, lipidomics and assessment of oxidative stress;and 5) Bioinformatics and statistics. Each component of this Core will be supervised by an established investigator with expertise in the specific methodology and data interpretation. The overall coordination of Analytical Core1 functions will be the responsibility of the Principal Investigator who will also serve as the Director of the sample processing, storage, distribution/retrieval component and administrative unit (Jerome F. Strauss, III, M.D., Ph.D.), working in concert with the component facility directors (Genotyping and genetic analysis: Richard S. Spielman, Ph.D.;Microarray: Don Baldwin Ph.D.; Proteomics/lipidomics and oxidative stress: Ian Blair, Ph.D.: Bioinformatics and statistics: David Fenstermacher, Ph.D.) who will serve as the Analytical Core Steering Committee. The Principal Investigator will serve as the Steering Committee Chair and the interface with the other investigators and N.I.C.H.D. staff participating in this program. The proposed Core builds on established strengths of the University of Pennsylvania in the study of the genetics of preterm birth, the genetics of complex traits, proteomics, the study of oxidative stress biomarkers, and microarray analysis. The existing facilities are prepared to accommodate high-throughput assays. In addition, the Core key personnel can provide expert advice in study design and data analysis. A Concept Protocol built around the use of admixture mapping and the transmission disequilibrium test to identify the impact of ancestry on preterm birth and neonatal outcomes after preterm delivery as well as association and linkage studies to identify specific risk promoting and protective genes, and parent of origin effects.
|Manuck, Tracy A; Esplin, M Sean; Biggio, Joseph et al. (2016) Predictors of response to 17-alpha hydroxyprogesterone caproateÂ forÂ 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|
|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|
|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|
|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|
|Shah, Sumit J; Yu, Kenneth H; Sangar, Vineet et al. (2009) Identification and quantification of preterm birth biomarkers in human cervicovaginal fluid by liquid chromatography/tandem mass spectrometry. J Proteome Res 8:2407-17|