Rongling Wu develops a transdisciplinary approach for building up multilayer, multiscale and multifunctional bridges that link genotype to phenotype. Dr. Wu asks, answers, and disseminates biologically meaningful questions in the boundaries of statistics, genetics, ecology, and evolution. He invented a statistical method called functional mapping to reveal the genetic architecture of developmental trajectories and incorporated this approach into the context of eco-evo-devo research aimed to unveil the genetic and ecological mechanisms underpinning evolutionary novelties. More recently, Dr. Wu has integrated evolutionary game theory and predator-prey theory through naturally omnipresent allometric scaling law into graph theory to create a new theory – functional game-graph theory. This new theory can unravel the internal workings of complex systems at an unprecedented level of detail by charting and tracing the causal, signed, and weighted roadmap of relationships among high- or even ultrahigh-dimensional variables from any data domains. The second part of this book represents the application of this theory to pharmacogenomic research. Dr. Wu received his PhD in forest genetics at the University of Washington in 1995. He was appointed as Assistant Professor of Statistics at the University of Florida in 2000 and awarded the University Foundation Professorship in 2007. Since 2008, Dr. Wu has been Professor of Public Health Sciences and Statistics, promoted to Distinguished Professor in 2015, and served as Director of the Center of Statistical Genetics at The Pennsylvania State University. Dr. Wu is a Fellow of the American Statistical Association and a Fellow of American Association for the Advancement of Science. Dr. Sang and Ms. Feng are collaborators of this book writing project under the leadership of Dr. Wu. Dr. Sang got his PhD degree at Beijing Forestry University in 2019 and is currently working as Lecturer of Medical Informatics at Nantong University Medical School, China. Ms. Feng is a PhD candidate in computational biology at Beijing Forestry University and going to graduate in 2023. The research interest of both Dr. Sang and Ms. Feng lies in the statistical modeling of computational biology and its applications to a broader area of agriculture, forestry, medicine, and beyond.