Covid-19, a lethal virus caused by inflammation of the lung is subdued an experiments of the GeenOMMIC, the genetics and mortality critical care, and they are comparing the genomes about the infected people with a population control. They found quite difference significant with the genomes IL10RB, PLSCR1 among others. Also they view another effects like changing the blood type antigen secretor status, FUT2, or the reduced membrane flippase APT11A. With microarrays genotyping, the best way to sequence the genotype of humans, they found that the Covid-19 is associated with the variation of the host immune response of viral infections like inflammasome regulator DPP9.
Gwas is a study in which DNA markers throughout the genome of people with a disease or trait are compared with those of people who do not have the disease or trait. Implemented with SAIGE, that it is an efficiently controller of associating large scale of genome, they could found a few numbers of causes of each country and the relation of the numbers of population control. They also use the data of SAIGE to reduce the genotyping errors and using the z-scores variants, the number of standard deviations from the mean of a data point, with z-scores imput for the same variant with discrepant values are excluded. In addition, a study complemented with SusieR, analysing 17 diferent regions with diferent population they found 22 independent credible set of variants. One of those, is the SLC6A20 that has a mutation with the guanine to thymine in the 3r chromosome. Also there are variations in the second credible set in the region of LZTFL1 and the PLSCR1 and IFNA10 that both seams to be deleterious.
For replication, they use, 23andMe, that it is a meta-analysis of a summary statistics, but they had a problem, they weren’t available to leave one out. To solve the problem, they removed the signal using mathematical subtraction. One of the 25 that could not replicated is a variant that it is dominated by SNP, a variation in DNA sequence that affects a single base of a genome sequence, genotyping data.
In other region, the HLA, the acronyms for human leukocyte antigens, is dominated by rs9271609 that upstream others genes, and they also had done a study that affirms the p is stronger than the lead SNP.
They also used TWAS, to calculate the effect of this variations of the genes in relation to the expressions on diseases. They found two relevant diseases with the lung and the whole blood, with lots of expressions signals of genes, concretely 16.
Five of the most important leads like IFNA10 had an important change with transmutation trypsinogen to a cysteine, and this implies that reduce expression of his receptor, also is affected his sequence genome.
In conclusion, they affirm that this mutations genes will change a lot on the genetics’ field and will be the therapeutic targeting. Also, due to covid 19 and their respective investigations they could found the all genome sequence. In addition, they think that will be a hard-work to translating their findings into the molecular and biological fields.