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Research Article
Gyaneshwer Chaubey
Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, Uttar Pradesh, India-221005
Corresponding Author
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With the growing evidence on the variable human susceptibility against COVID-19, it is evident that some genetic loci modulate the severity of the infection. Recent studies have identified several loci associated with greater severity. More recently, a study has identified a 50kb segment introgressed from Neanderthal adding a risk for COVID-19, and this trait is present among 16% and 50% people of European and South Asian origin respectively. Contrary to this finding, our studies on ACE2 identified a haplotype present among 20% and 60% of European and South Asian populations respectively, which appears to be responsible for the low case fatality ratio among South Asian populations. This result was also consistent with the realtime infection rate and case fatality ratio among various states of India. We readdressed this issue using both of the contrasting datasets and compared them with the realtime infection rates and case fatality ratio in India. We found out that the polymorphism present in the 50kb introgressed segment (rs10490770) did not show any significant correlation with the realtime infection and case fatality ratio in India.
Keywords
variable human susceptibility, realtime infection rate, case fatality ratio, risk for COVID-19
Figure 1
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
- SuppFig.1.SNPscomparison.jpg
Supplementary Figure 1. The statewise frequency distribution of the both of the compared SNPs in our analysis.
- Supptable1.pdf
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CURRENT STATUS: Under Review
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Posted 11 Mar, 2021
No community comments so far
Editorial decision: Major revision
On 05 May, 2021
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Received 11 Apr, 2021
Reviewers agreed
On 26 Mar, 2021
Reviewers invited
Invitations sent on 23 Mar, 2021
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On 23 Mar, 2021
Editor invited
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This preprint is under consideration at Scientific Reports. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Gyaneshwer Chaubey
Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, Uttar Pradesh, India-221005
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 11 Mar, 2021
No community comments so far
Editorial decision: Major revision
On 05 May, 2021
Reviews received
Received 11 Apr, 2021
Reviewers agreed
On 26 Mar, 2021
Reviewers invited
Invitations sent on 23 Mar, 2021
Editor assigned
On 23 Mar, 2021
Editor invited
On 08 Mar, 2021
Submission checks complete
On 08 Mar, 2021
First submitted
On 23 Feb, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
With the growing evidence on the variable human susceptibility against COVID-19, it is evident that some genetic loci modulate the severity of the infection. Recent studies have identified several loci associated with greater severity. More recently, a study has identified a 50kb segment introgressed from Neanderthal adding a risk for COVID-19, and this trait is present among 16% and 50% people of European and South Asian origin respectively. Contrary to this finding, our studies on ACE2 identified a haplotype present among 20% and 60% of European and South Asian populations respectively, which appears to be responsible for the low case fatality ratio among South Asian populations. This result was also consistent with the realtime infection rate and case fatality ratio among various states of India. We readdressed this issue using both of the contrasting datasets and compared them with the realtime infection rates and case fatality ratio in India. We found out that the polymorphism present in the 50kb introgressed segment (rs10490770) did not show any significant correlation with the realtime infection and case fatality ratio in India.
Figure 1
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
- SuppFig.1.SNPscomparison.jpg
Supplementary Figure 1. The statewise frequency distribution of the both of the compared SNPs in our analysis.
- Supptable1.pdf
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