ArticleFrontiers in genetics2021
Genetic Risk Prediction of COVID-19 Susceptibility and Severity in the Indian Population.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks.PLoS genetics · 2023Pooled it
- Comparative GWAS using global and Indian Reference Panels reveals non-coding drivers of COVID-19 severity and mortality.PLoS neglected tropical diseases · 2026Article
- Genetic Determinants of the Acute Respiratory Distress Syndrome.Journal of clinical medicine · 2023Review
- Molecular signature of postmortem lung tissue from COVID-19 patients suggests distinct trajectories driving mortality.Disease models & mechanisms · 2022Article
- Article
- Covid-19: virology, variants, and vaccines.BMJ medicine · 2022Review
- African Genetic Representation in the Context of SARS-CoV-2 Infection and COVID-19 Severity.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Host genetic variants can determine their susceptibility to COVID-19 infection and severity as noted in a recent Genome-wide Association Study (GWAS). Given the prominent genetic differences in Indian sub-populations as well as differential prevalence of COVID-19, here, we compute genetic risk scores in diverse Indian sub-populations that may predict differences in the severity of COVID-19 outcomes. We utilized the top 100 most significantly associated single-nucleotide polymorphisms (SNPs) from a GWAS by Pairo-Castineira et al
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Registered trials
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