Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits

@article{Yang2012ConditionalAJ,
  title={Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits},
  author={Jian Yang and T. Ferreira and A. Morris and S. Medland and P. Madden and A. Heath and N. Martin and G. Montgomery and M. Weedon and R. Loos and T. Frayling and M. McCarthy and J. Hirschhorn and M. Goddard and P. Visscher},
  journal={Nature Genetics},
  year={2012},
  volume={44},
  pages={369-375}
}
We present an approximate conditional and joint association analysis that can use summary-level statistics from a meta-analysis of genome-wide association studies (GWAS) and estimated linkage disequilibrium (LD) from a reference sample with individual-level genotype data. Using this method, we analyzed meta-analysis summary data from the GIANT Consortium for height and body mass index (BMI), with the LD structure estimated from genotype data in two independent cohorts. We identified 36 loci… Expand
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