Do genetic variants of the Y chromosome affect mortality from COVID-19

https://pmc.ncbi.nlm.nih.gov/articles/PMC12159340/

Abstract
Aims:
During the early stages of the COVID-19 pandemic, significant differences in mortality patterns emerged based on sex and geographical regions. While we were studying on the heredity of variants of the Y chromosome, we observed that regional variations in mortality rates appeared to correlate with the geographical distribution of certain variants of the Y chromosome. This observation led us to propose that some genes on the Y chromosome, with an influence on immune responses, may represent a confounding factor in the observed geographical mortality differences.

Methods:
In this analysis, we investigate the potential associations between COVID-19 morbidity and disease-specific mortality and specific Y chromosome variants. The study is based on publicly available pandemic data validated by state authorities or presented in scientific literature documented in PubMed and Medline.

Results:
We find that Y chromosome haplogroups in different populations exhibit wave-like patterns corresponding with persistent global disparities in COVID-19-related mortality.

Conclusions:
These findings warrant further research to uncover possible new pathophysiological mechanisms.

https://pmc.ncbi.nlm.nih.gov/articles/PMC7890103/

The Y chromosome ancestry marker R1b1b2: a surrogate of the SARS-CoV-2 population affinity

Abstract
Individual and population susceptibilities to disease remain a murky area of investigation, clouded by past bias based on ideological differences and wars. The current SARS-CoV-2 pandemic, the largest in living memory, brought this matter to forefront as the disparity in disease burden became apparent. A timeline analysis of the pandemic revealed the presence of country clusters that display a marked preponderance of disease among populations carrying the ancestry marker R1b1b2, notably associated with both infection and mortality. This marker is a relic of past human expansions from western Asia and subsequently Europe and the rest of the world, which may have been accompanied by peculiar biological events rendering these populations vulnerable to SARS-CoV-2.

https://pmc.ncbi.nlm.nih.gov/articles/PMC11069473/

Chromosome-Y haplogroups in Asturias (Northern Spain) and their association with severe COVID-19

Abstract
The main objective of this study was to determine whether the common Y-haplogroups were be associated with the risk of developing severe COVID-19 in Spanish male. We studied 479 patients who required hospitalization due to COVID-19 and 285 population controls from the region of Asturias (northern Spain), They were genotyped for several polymorphisms that define the common European Y-haplogroups. We compared the frequencies between patients and controls aged ≤ 65 and >65 years. There were no different haplogroup frequencies between the two age groups of controls. Haplogroup R1b was less common in patients aged ≤65 years. Haplogroup I was more common in the two patient´s groups compared to controls (p = 0.02). Haplogroup R1b was significantly more frequent among hypertensive patients, without difference between the hypertensive and normotensive controls. This suggested that R1b could increase the risk for severe COVID-19 among male with pre-existing hypertension. In conclusion, we described the Y-haplogroup structure among Asturians. We found an increased risk of severe COVID-19 among haplogroup I carriers, and a significantly higher frequency of R1b among hypertensive patients. These results indicate that Y-chromosome variants could serve as markers to define the risk of developing a severe form of COVID-19.

https://pmc.ncbi.nlm.nih.gov/articles/PMC7442561/

The potential influence of human Y-chromosome haplogroup on COVID-19 prevalence and mortality

https://www.google.com/url?sa=t&rct=...8&opi=89978449

Possible Correlation between COVID-19 Contagion and Y-DNA Haplogroup R1b

Abstract
Here we develop some of the ideas we have first proposed in [1]. In particular, the linear correlation between the initial
growth rate of COVID-19 contagion and the average Y-DNA haplogroup percentages in different countries is computed.
In the case of haplogroup R1b, a positive correlation with high confidence level is found. Utilizing the maximum R1b
percentages in place of the average ones, a more significant result is obtained. Considering an extended R1b data set,
correlations with even higher confidence level are found (p-values 394 10 7 and 240 10 9, respectively). Repeating the
same procedure for the initial growth rate of deaths, similar results are obtained (p-values 917 10 11 and 218 10 12,
respectively). Furthermore, the correlation of haplogroup R1b with cases and deaths per capita is calculated over a
five-month period, obtaining comparable results (e.g. p-value 245 10 17 on April 10th). The difference between the
correlation with maximum R1b percentages and the correlation with average ones is decreasing over time. Finally, assuming
the possible involvement of R1b carriers, three scenarios are outlined according to their passive or active role in the spread
of the virus.

https://www.researchgate.net/publica...R1b_Haplogroup

Coronavirus and DNA ADN: The R1b Haplogroup

Abstract
This chapter affirms that countries with enviable indicators in development, per capita income, life expectancy, cultural level, human rights, environmental care, etc. are the most affected by the pandemic. The fact that the UK, Belgium, and Spain are failing at the hands of the coronavirus and Syria, Rwanda, or Ethiopia have had hardly any (reported) infections or deaths can be justified in many ways but none of them is convincing. The author suggests that the reason could be that those three European countries have something in common: the shared frequency of the male haplogroup R1b, which in the three aforementioned cases represents over 60% of their population and is also predominant in Western Europe and (because of historical immigration) in most of America. If we put together the map of COVID-19 and the haplogroup R1b, he concludes, we can obtain the following formula: the higher the frequency of R1b, the greater incidence, proven or probable (real or potential), of COVID-19.

they should (also) look at mitochondrial DNA, as mtDNA has a role in detecting viruses and regulating immune signaling during infection, which YDNA does not.

they should look if the covid impact in the R1b nations isn't from some specific mtDNA hg (maternal ancestry) more than yDNA hg.

Very interesting. I had covid and the main symptoms lasted for 3-4 days. And after that it took a few more days for my taste to come back. It may have taken a week.

Y dna doesn't code for shit, X chromosome is a much better candidate, it affect aspects of metabolism