摘要
Since the first success of genome wide association study(GWAS)was reported in 2005 by Hoh and colleagues on the identification of a major gene for age related macular degeneration,many thousands of published studies have reported reproducible association signals between hundreds of thousands of genetic variants and thousands of traits and diseases in the past 16 years.There is a growing number of biobanks with up to one million participants developed across the world to facilitate genetic studies of complex traits through GWAS.Furthermore,many consortium projects have been initiated to collect diverse types of data that have proved very valuable for integrated analysis of GWAS data.These rich data present both great opportunities and challenges to scientists on data management,computation,analysis,integration,and interpretation.This special issue of Quantitative Biology collects nine papers that cover major progresses,challenges,and future directions for GWAS analysis.
