Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

@article{Zhu2016IntegrationOS,
  title={Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets},
  author={Zhihong Zhu and F. Zhang and H. Hu and A. Bakshi and M. Robinson and J. Powell and G. Montgomery and M. Goddard and N. Wray and P. Visscher and J. Yang},
  journal={Nature Genetics},
  year={2016},
  volume={48},
  pages={481-487}
}
Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with human complex traits. However, the genes or functional DNA elements through which these variants exert their effects on the traits are often unknown. We propose a method (called SMR) that integrates summary-level data from GWAS with data from expression quantitative trait locus (eQTL) studies to identify genes whose expression levels are associated with a complex trait because of pleiotropy. We… Expand
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