Anthony Marcketta

TL;DR: In this article, the authors used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 individuals, including 20,952 with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a respiratory illness causing hospitalization or death.

TL;DR: An exome sequence analysis of type 2 diabetes cases and controls presents a Bayesian framework to recalibrate association p-values as posterior probabilities of association, estimating that reaching p<0.05 in this study increases the odds of causal T2D association for a nonsynonymous variant by a factor of 1.3.

TL;DR: The largest genome-wide association analysis to date of serum ALT and AST levels in over 388k people of European ancestry from UK biobank and DiscovEHR was reported in this article.

TL;DR: A genome-wide screen for Parent-of-origin effects on a broad range of clinical traits derived from electronic health records (EHR) in the DiscovEHR study enriched with familial relationships suggests that accurately modeling PoO effects has the potential to find new associations that may have been missed by the standard additive model, further enhancing the mechanistic understanding of genetic influence on complex traits.

TL;DR: The Age-ExWAS, the largest performed to date, confirmed and identified previously unreported candidate variants associated with human age, as well as several nominally-associated population-specific variants.