Lenning Ole Bernt, Myhre Ronny, Vadla May Sissel, Omdal Roald, Martínez Jarreta Begoña, Gómez Moreno Ángel, De Blas Ignacio, Braut Geir Sverre
Research Department, Stavanger University Hospital, Stavanger, Norway.
Norwegian Institute of Public Health, Division of Health Data and Digitalization, Department of Genetics and Bioinformatics (HDGB), Oslo, Norway.
Scand J Public Health. 2025 Jul;53(5):560-564. doi: 10.1177/14034948251333236. Epub 2025 Apr 14.
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.
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.
We find that Y chromosome haplogroups in different populations exhibit wave-like patterns corresponding with persistent global disparities in COVID-19-related mortality.
These findings warrant further research to uncover possible new pathophysiological mechanisms.
在新冠疫情的早期阶段,基于性别和地理区域出现了显著的死亡率差异。在我们研究Y染色体变异的遗传情况时,我们观察到死亡率的区域差异似乎与Y染色体某些变异的地理分布相关。这一观察结果使我们提出,Y染色体上一些对免疫反应有影响的基因,可能是观察到的地理死亡率差异中的一个混杂因素。
在本分析中,我们研究了新冠发病率、疾病特异性死亡率与特定Y染色体变异之间的潜在关联。该研究基于经国家当局验证的公开疫情数据,或发表在PubMed和Medline记录的科学文献中的数据。
我们发现,不同人群中的Y染色体单倍群呈现出与新冠相关死亡率持续存在的全球差异相对应的波浪状模式。
这些发现值得进一步研究以揭示可能的新病理生理机制。