The cost of genome sequencing has decreased dramatically over the past 15 years. It is estimated that 1 billion human genomes will be sequenced by 2026. However, our understanding of the human genome is far from complete, and new techniques need to be developed to analyze this vast amount of data. Although machine learning and deep learning have advanced dramatically in recent years, they have not tackled genomic data well. This is partially due to the lack of sufficient data connecting genomes, molecular and macroscopic phenotypes, and health information. In this presentation, we will review the importance of integrated genomic, phenotypic and health data in advancing human healthcare, emphasize the need for methods and infrastructure that connect the human genome with health records, and share some of the pitfalls in dealing with this type of data.