Emerging Challenges and Opportunities in Statistical Genetics and Genomics

• Activity Number: 167 - Section on Statistics in Genomics and Genetics P.M. Roundtable Discussion (Added Fee)
• Type: Roundtables
• Date/Time: Monday, August 8, 2022 : 12:30 PM to 1:50 PM
• Sponsor: Section on Statistics in Genomics and Genetics
• Author(s): Xihong Lin*
• Companies: Harvard University
• Keywords: Statistical Genetics and Genomics; Multi-omics Data; Whole Genome Sequencing; Single Cell Genomics; Integrative Analysis; Cloud Computing

Abstract

Big genetic and genomic and phenotype data are becoming available at a rapidly increasing rate with no apparent end in sight. Examples include Whole Genome Sequencing data, single cell data, and Electronic Health Records (EHRs). Biobanks integrate genotype, electronic health records, and epidemiological and biomarker data, and is the trend of health science research. Different types of omics data present exciting opportunities in studying biological mechanisms. In this roundtable, I will discuss statistical and computational opportunities and challenges in scalable analysis of large whole genome data, biobanks, integrative analysis of different type of genetic and omic data, and cloud computing.