Case–case genome-wide association studies (GWAS) within a single genotyped cohort have proven useful in identifying genetic variants explaining different health outcomes, yet they are limited by data availability. A new study by Peyrot and Price proposes a clever statistical method to overcome this problem by inferring case–case GWAS results from a pair of standard case–control GWAS summary statistics that need not be from the same cohort.
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Acknowledgements
F.P., Z.Z. and B.J.V. are supported by the Danish National Research Foundation (Niels Bohr Professorship to J. McGrath) and also acknowledge the Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH (R248-2017-2003). B.J.V. is also supported by a Lundbeck Foundation Fellowship (R335-2019-2339).
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Privé, F., Zhu, Z. & Vilhjalmsson, B.J. Finding hidden treasures in summary statistics from genome-wide association studies. Nat Genet 53, 431–432 (2021). https://doi.org/10.1038/s41588-021-00824-z
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DOI: https://doi.org/10.1038/s41588-021-00824-z
