Evidence map›Paper›PMID 33815467›Full record

ArticleFrontiers in genetics2021

Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions.

Chandni Radhakrishnan, Mohit Kumar Divakar, Abhinav Jain, Prasanth Viswanathan, Rahul C Bhoyar, Bani Jolly, Mohamed Imran, Disha Sharma, Mercy Rophina, Gyan Ranjan and 18 more

Open access · goldAbstract read
In one paragraph

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors at 5 institutions in 1 country.

Chandni RadhakrishnanGovernment Medical College, Kozhikode, India.
Mohit Kumar DivakarCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Abhinav JainCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Prasanth ViswanathanGovernment Medical College, Kozhikode, India.
Rahul C BhoyarCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Bani JollyCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Mohamed ImranCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Disha SharmaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Mercy RophinaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Gyan RanjanCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Paras SehgalCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Beena Philomina JoseGovernment Medical College, Kozhikode, India.
Rajendran Vadukkoot RamanGovernment Medical College, Kozhikode, India.
Thulaseedharan Nallaveettil KesavanGovernment Medical College, Kozhikode, India.
Kalpana GeorgeGovernment Medical College, Kozhikode, India.
Sheela MathewGovernment Medical College, Kozhikode, India.
Jayesh Kumar PoovullathilGovernment Medical College, Kozhikode, India.
Sajeeth Kumar Keeriyatt GovindanGovernment Medical College, Kozhikode, India.
Priyanka Raveendranadhan NairGovernment Medical College, Kozhikode, India.
Shameer VadekkandiyilGovernment Medical College, Kozhikode, India.
Vineeth GladsonGovernment Medical College, Kozhikode, India.
Midhun MohanGovernment Medical College, Kozhikode, India.
Fairoz Cheriyalingal ParambathGovernment Medical College, Kozhikode, India.
Mohit ManglaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Afra ShamnathCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) Consortium
Sridhar SivasubbuCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Vinod ScariaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, India.
Government Medical College · INAcademy of Scientific and Innovative Research · INGovernment College Kodanchery · INCouncil of Scientific and Industrial Research · INInstitute of Genomics and Integrative Biology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) rapidly spread from a city in China to almost every country in the world, affecting millions of individuals. The rapid increase in the COVID-19 cases in the state of Kerala in India has necessitated the understanding of SARS-CoV-2 genetic epidemiology. We sequenced 200 samples from patients in Kerala using COVIDSeq protocol amplicon-based sequencing. The analysis identified 166 high-quality single-nucleotide variants encompassing four novel variants and 89 new variants in the Indian isolated SARS-CoV-2. Phylogenetic and haplotype analysis revealed that the virus was dominated by three distinct introductions followed by local spread suggesting recent outbreaks and that it belongs to the A2a clade. Further analysis of the functional variants revealed that two variants in the

Indexed as

COVID-19COVIDSeqgenetic epidemiologyKeralavariants

Identifiers

PMID33815467
PMCPMC8010186
OpenAlexW3137538968

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.