Evidence map›Paper›PMID 33746914›Full record

ArticleFrontiers in microbiology2021

Global Geographic and Temporal Analysis of SARS-CoV-2 Haplotypes Normalized by COVID-19 Cases During the Pandemic.

Santiago Justo Arevalo, Daniela Zapata Sifuentes, César J Huallpa, Gianfranco Landa Bianchi, Adriana Castillo Chávez, Romina Garavito-Salini Casas, Guillermo Uceda-Campos, Roberto Pineda Chavarria

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

8 authors.

Santiago Justo ArevaloFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru.
Daniela Zapata SifuentesFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru.
César J HuallpaFacultad de Ciencias, Universidad Nacional Agraria La Molina, Lima, Peru.
Gianfranco Landa BianchiFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru.
Adriana Castillo ChávezFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru.
Romina Garavito-Salini CasasFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru.
Guillermo Uceda-CamposFacultad de Ciencias Biológicas, Universidad Nacional Pedro Ruiz Gallo, Lambayeque, Peru.
Roberto Pineda ChavarriaFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the identification of SARS-CoV-2, a large number of genomes have been sequenced with unprecedented speed around the world. This marks a unique opportunity to analyze virus spreading and evolution in a worldwide context. Currently, there is not a useful haplotype description to help to track important and globally scattered mutations. Also, differences in the number of sequenced genomes between countries and/or months make it difficult to identify the emergence of haplotypes in regions where few genomes are sequenced but a large number of cases are reported. We propose an approach based on the normalization by COVID-19 cases of relative frequencies of mutations using all the available data to identify major haplotypes. Furthermore, we can use a similar normalization approach to tracking the temporal and geographic distribution of haplotypes in the world. Using 171,461 genomes, we identify five major haplotypes or operational taxonomic units (OTUs) based on nine high-frequency mutations. OTU_3 characterized by mutations R203K and G204R is currently the most frequent haplotype circulating in four of the six continents analyzed (South America, North America, Europe, Asia, Africa, and Oceania). On the other hand, during almost all months analyzed, OTU_5 characterized by the mutation T85I in nsp2 is the most frequent in North America. Recently (since September), OTU_2 has been established as the most frequent in Europe. OTU_1, the ancestor haplotype, is near to extinction showed by its low number of isolations since May. Also, we analyzed whether age, gender, or patient status is more related to a specific OTU. We did not find OTU's preference for any age group, gender, or patient status. Finally, we discuss structural and functional hypotheses in the most frequently identified mutations, none of those mutations show a clear effect on the transmissibility or pathogenicity.

Indexed as

COVID-19epidemiologyglobal analysishaplotypesoperational taxonomic unitsphylogenomicSARS-CoV-2viral pandemic

Identifiers

PMID33746914
PMCPMC7971176

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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.