Genetic analyses identify widespread sex-differential participation bias
Nicola Pirastu, Mattia Cordioli, Priyanka Nandakumar, Gianmarco Mignogna, Abdel Abdellaoui, Benjamin Hollis, Masahiro Kanai, Veera Manikandan Rajagopal, Pietro Della Briotta Parolo, Nikolas A. Baya, Caitlin E. Carey, Juha M Karjalainen, Thomas D. Als, Matthijs D. van der Zee, Felix R. Day, , Andrea Ganna
The paper identifies sex-differential participation bias in genetic studies by performing GWAS on sex in 3.3 million individuals, finding 158 loci associated with sex and highlighting traits like BMI that may influence participation.
Nature Genetics · Apr 22, 2021Peer-reviewedGenetics