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Leveraging correlations between polygenic risk score predictors to detect heterogeneity in GWAS cohorts
Jie Yuan, Henry Xing, Alexandre Lamy, The Schizophrenia Working Group of the Psychiatric Genomics Consortium, Todd Lencz, Itsik Pe’er
doi: https://doi.org/10.1101/827162
Jie Yuan
1Department of Computer Science, Columbia University, New York
Henry Xing
1Department of Computer Science, Columbia University, New York
Alexandre Lamy
1Department of Computer Science, Columbia University, New York
Todd Lencz
2The Center for Psychiatric Neuroscience,, Feinstein Institutes for Medical Research, New York
Itsik Pe’er
1Department of Computer Science, Columbia University, New York
Posted November 01, 2019.
Leveraging correlations between polygenic risk score predictors to detect heterogeneity in GWAS cohorts
Jie Yuan, Henry Xing, Alexandre Lamy, The Schizophrenia Working Group of the Psychiatric Genomics Consortium, Todd Lencz, Itsik Pe’er
bioRxiv 827162; doi: https://doi.org/10.1101/827162
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