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Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), a respiratory illness that can result in hospitalization or death. We used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 individuals, including 20,952 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome wide or when specifically focusing on (1) 13 interferon pathway genes in which rare deleterious variants have been reported in individuals with severe COVID-19, (2) 281 genes located in susceptibility loci identified by the COVID-19 Host Genetics Initiative, or (3) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, and results are publicly available through the Regeneron Genetics Center COVID-19 Results Browser.

Hundreds of thousands of human whole genome sequencing (WGS) datasets will be generated over the next few years. These data are more valuable in aggregate: joint analysis of genomes from many sources increases sample size and statistical power. A central challenge for joint analysis is that different WGS data processing pipelines cause substantial differences in variant calling in combined datasets, necessitating computationally expensive reprocessing. This approach is no longer tenable given the scale of current studies and data volumes. Here, we define WGS data processing standards that allow different groups to produce functionally equivalent (FE) results, yet still innovate on data processing pipelines. We present initial FE pipelines developed at five genome centers and show that they yield similar variant calling results and produce significantly less variability than sequencing replicates. This work alleviates a key technical bottleneck for genome aggregation and helps lay the foundation for community-wide human genetics studies., Sharing of whole genome sequencing (WGS) data improves study scale and power, but data from different groups are often incompatible. Here, US genome centers and NIH programs define WGS data processing standards and a flexible validation method, facilitating collaboration in human genetics research.

We recently reported the discovery of a homeobox gene cluster on the mouse X chromosome, Rhox, whose 12 members are selectively expressed in specific cell types in reproductive organs. Here we report the existence of 20 additional Rhox homeobox genes in this gene cluster. Most of the newly identified Rhox paralogs retain the same order and relative orientation as three of the originally described Rhox genes, suggesting that they arose from recent duplications of this trimer unit. Many of these new Rhox family members are expressed in the testis and placenta. Analysis of synonymous and nonsynonymous substitutions in their homeodomain region suggests that these new Rhox paralogs duplicated so recently that their encoded proteins have not yet acquired distinct DNA-binding specificities. The existence of these new Rhox genes provides an opportunity to examine the initial stages of gene cluster evolution. genesis 44:122–129, 2006. © 2006 Wiley-Liss, Inc.