Neonatal Fetal Nutrition & Metabolism 3
Session: Neonatal Fetal Nutrition & Metabolism 3
Ruggero Spadafora, MD (he/him/his)
Assistant Professor
Tufts Childrens Hospital
Weston, Massachusetts, United States
Using a Whole Genome Correlation Network Analysis (WGCNA) to study placental coding genes we established correlations between Maternal-Fetal Metabolic Traits and placental genes. Each correlation is characterized by a coefficient of correlation and a (P-value). Turquoise indicates negative correlation, Pink positive correlation. Notable negative correlations are: fffa with MEGreen and METan modules (-1, p=0.001; -0.99; p=0.01), notable positive correlations are: ffa with MEPurple and mlep with MERed and MEBrown modules (0.95, p=0.048; 1, p=0.001; 0.98, p=0.02).
Using a Whole Genome Correlation Network Analysis (WGCNA) to study placental coding genes we established correlations between Maternal-Fetal Metabolic Traits and placental genes. Each correlation is characterized by a coefficient of correlation and a (P-value). Turquoise indicates negative correlation, Pink positive correlation. Notable negative correlations are: fffa with MEGreen and METan modules (-1, p=0.001; -0.99; p=0.01), notable positive correlations are: ffa with MEPurple and mlep with MERed and MEBrown modules (0.95, p=0.048; 1, p=0.001; 0.98, p=0.02).