What are the genes that influence our weight,height,blood pressure,IQ,susceptibility to diseases,and even our lifespan? We do not know the answer yet but it has become clear that each of these traits involves multiple genes.Deciphering the genetic determinants of such complex traits has been the holly grail of human genetics.With the rapid advance of sequencing technology,it is now feasible to sequence/genotype thousands and even tens of thousands of individuals with specific phenotypic characteristics.The availability of electronic medical records also makes it possible to collect detailed physiological parameters for a large number of individuals.Such large scale,high dimensional sequence and phenotype data present a great opportunity for data driven discovery in human biology.However,the statistical methodologies/computational tools that can be used to derive biological insight from such data are lagging far behind.In this talk,I will discuss some of our recent work on developing new statistical frameworks and computational tools that enable the analysis of genotype-phenotype relation from a global and integrative perspective.I will demonstrate that by integrating genome-wide association study (GWAS) data and those from association studies of molecular traits,and by analyzing GWASs of different traits collectively,one may discover common genetic mechanisms underlying seemingly un-related human traits.