While volunteer-based studies such as the UK Biobank have become the cornerstone of
genetic epidemiology, the participating individuals are rarely representative of their target …

Large studies such as UK Biobank are increasingly used for GWAS and Mendelian
randomization (MR) studies. However, selection into and dropout from studies may bias …

The trait of participating in a genetic study probably has a genetic component. Identifying this
component is difficult as we cannot compare genetic information of participants with …

Genome-wide association studies on human behavioural traits are producing large amounts
of polygenic signals with significant predictive power and potentially useful biological clues …

Genetic association results are often interpreted with the assumption that study participation
does not affect downstream analyses. Understanding the genetic basis of participation bias …

Genome-wide association studies (GWAS) have identified many loci contributing to variation
in complex traits, yet the majority of loci that contribute to the heritability of complex traits …

Meta-analyses of genome-wide association studies, which dominate genetic discovery, are
based on data from diverse historical time periods and populations. Genetic scores derived …

Genome-wide association studies (GWAS) have identified hundreds of SNPs responsible for
variation in human quantitative traits. However, genome-wide-significant associations often …

Social science genetics is concerned with understanding whether, how and why genetic
differences between human beings are linked to differences in behaviours and …

In genome-wide association studies (GWAS) for thousands of phenotypes in large biobanks,
most binary traits have substantially fewer cases than controls. Both of the widely used …