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 Teresa M. Ferreira and Andrew P. Morris and Sarah E. Medland and Pamela A. F. Madden and Andrew Craig Heath and Nicholas G. Martin and Grant W. Montgomery and M. N. Weedon and Ruth J F Loos and Timothy M. Frayling and Mark I. McCarthy and Joel Hirschhorn and M. E. Goddard and Peter M. 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… CONTINUE READING
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