A new statistic and its power to infer membership and phenotype in a genome-wide association study using genotype frequencies

@inproceedings{Jacobs2009ANS,
  title={A new statistic and its power to infer membership and phenotype in a genome-wide association study using genotype frequencies},
  author={Kevin B. Jacobs and Meredith Yeager and Sholom Wacholder and David W. Craig and Peter Kraft and David J. Hunter and Justin Paschal and Teri Manolio and Margaret A. Tucker and Robert Nathaniel Hoover and Gilles D. Thomas and Stephen J. Chanock and Nilanjan Chatterjee},
  booktitle={Nature Genetics},
  year={2009}
}
Aggregate results from genome-wide association studies (GWAS), such as genotype frequencies for cases and controls, were until recently often made available on public websites because they were thought to disclose negligible information concerning an individual's participation in a study. Homer et al. recently suggested that a method for forensic detection of an individual's contribution to an admixed DNA sample could be applied to aggregate GWAS data. Using a likelihood-based statistical… CONTINUE READING
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