Estimating Effect Sizes and Expected Replication Probabilities from GWAS Summary Statistics

@inproceedings{Holland2016EstimatingES,
  title={Estimating Effect Sizes and Expected Replication Probabilities from GWAS Summary Statistics},
  author={Dominic Holland and Yunpeng Wang and Wesley K. Thompson and Andrew J. Schork and C Chen and M. Lo and Aree Witoelar and Thomas M Werge and Michael O'Donovan and Ole A. Andreassen and Anders M. Dale},
  booktitle={Front. Genet.},
  year={2016}
}
Genome-wide Association Studies (GWAS) result in millions of summary statistics ("z-scores") for single nucleotide polymorphism (SNP) associations with phenotypes. These rich datasets afford deep insights into the nature and extent of genetic contributions to complex phenotypes such as psychiatric disorders, which are understood to have substantial genetic components that arise from very large numbers of SNPs. The complexity of the datasets, however, poses a significant challenge to maximizing… CONTINUE READING
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