This month in the journal

摘要

Although genome-wide association studies (GWASs) have identified many variants associated with numerous complex traits, the actual causal variants-the information that everyone wants-are known for only a few cases. In this issue, Zhu et al. present a new method for generating a prioritized list of candidate causal variants from GWAS data sets. Their method, which they term the preferential linkage-disequilibrium (LD) approach, is based on the premise that the SNP identified in the GWAS is better able to tag the causal variant than are most other geno-typed variants.