8/28/2023 0 Comments Coventry v gillingham odds checkerWe formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-19 1, 2, host genetics may also be important. The genetic make-up of an individual contributes to the susceptibility and response to viral infection. The code for summary statistics lift-over, the projection PCA pipeline including precomputed loadings and meta-analyses are available on GitHub ( ) and the code for the Mendelian randomization and genetic correlation pipeline is available on GitHub at. We used publicly available data from GTEx ( ), the Neale lab ( ), Finucane lab ( ), the FinnGen Freeze 4 cohort ( ) and the eQTL catalogue release 3 ( ). Individual level data can be requested directly from contributing studies, listed in Supplementary Table 1. Summary statistics for non-European ancestry samples are not currently available due to the small individual sample sizes of these groups, but results for lead variants of 13 loci are reported in Supplementary Table 3. COVID-19 HGI continues to regularly release new data freezes. The analyses described here include the freeze-5 data. Summary statistics generated by the COVID-19 HGI are available at and are available in the GWAS Catalog (study code GCST011074). Note that the COVID-19 lead variants were chosen across all the meta-analyses (Supplementary Table 2 see Methods) and were not necessarily a variant with the most significant P-value from each inverse variance weighted meta-analysis. For each genome-wide significant locus in three meta-analyses: meta-analysis of critical illness, hospitalization, and reported infection, we showed 1) a manhattan plot of each locus where a color represents a weighted-average r 2 value (see Methods) to a lead variant (unadjusted P-values from the two-tailed inverse variance weighted meta-analysis) 2) r 2 values to a lead variant across gnomAD v2 populations, i.e., African/African-American (AFR), Latino/Admixed American (AMR), Ashkenazi Jewish (ASJ), East Asian (EAS), Estonian (EST), Finnish (FIN), Non-Finish Europeans (NFE), North-Western Europeans (NWE), and Southern Europeans (SEU) 3) genes at a locus and 4) genes prioritized by each gene prioritization metric where a size of circles represents a rank in each metric. Supplementary Figure 2: LozusZoom plots to visualise the meta-analysis results at the loci passing genome-wide significance.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |