| Title: | Genetic analyses identify widespread sex-differential participation bias |
| Journal: | Nature Genetics |
| Published: | 22 Apr 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/33888908/ |
| DOI: | https://doi.org/10.1038/s41588-021-00846-7 |
| URL: | https://research.vu.nl/files/153902146/Genetic_analyses_identify_widespread_sexdifferential_participation_bias.pdf |
| Citations: | 160 (78 in last 2 years) as of 8 Aug 2024 |
Publication 4883
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Genetic association results are often interpreted with the assumption that study participation does not affect downstream analyses. Understanding the genetic basis of participation bias is challenging since it requires the genotypes of unseen individuals. Here we demonstrate that it is possible to estimate comparative biases by performing a genome-wide association study contrasting one subgroup versus another. For example, we showed that sex exhibits artifactual autosomal heritability in the presence of sex-differential participation bias. By performing a genome-wide association study of sex in approximately 3.3 million males and females, we identified over 158 autosomal loci spuriously associated with sex and highlighted complex traits underpinning differences in study participation between the sexes. For example, the body mass index-increasing allele at FTO was observed at higher frequency in males compared to females (odds ratio = 1.02, P = 4.4 × 10−36). Finally, we demonstrated how these biases can potentially lead to incorrect inferences in downstream analyses and propose a conceptual framework for addressing such biases. Our findings highlight a new challenge that genetic studies may face as sample sizes continue to grow.</p>
29 Authors
- Nicola Pirastu
- Mattia Cordioli
- Priyanka Nandakumar
- Gianmarco Mignogna
- Abdel Abdellaoui
- Benjamin Hollis
- Masahiro Kanai
- Veera M. Rajagopal
- Pietro Della Briotta Parolo
- Nikolas Baya
- Caitlin E. Carey
- Juha Karjalainen
- Thomas D. Als
- Matthijs D. Van der Zee
- Felix R. Day
- Ken K. Ong
- Takayuki Morisaki
- Eco de Geus
- Rino Bellocco
- Yukinori Okada
- Anders D. Børglum
- Peter Joshi
- Adam Auton
- David Hinds
- Benjamin M. Neale
- Raymond K. Walters
- Michel G. Nivard
- John R. B. Perry
- Andrea Ganna
Enabling scientific discoveries that improve human health