Department of Economics and Business Economics

Finding hidden treasures in summary statistics from genome-wide association studies

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperComment/debate/letter to the editorCommunication

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.

Original languageEnglish
JournalNature Genetics
Pages (from-to)431-432
Publication statusPublished - Apr 2021

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