Evidence map›Paper›PMID 36712796›Full record

ArticlePNAS nexus2022

Continuous genomic diversification of long polynucleotide fragments drives the emergence of new SARS-CoV-2 variants of concern.

Karthik Murugadoss, Michiel J M Niesen, Bharathwaj Raghunathan, Patrick J Lenehan, Pritha Ghosh, Tyler Feener, Praveen Anand, Safak Simsek, Rohit Suratekar, Travis K Hughes and 1 more

Abstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Karthik Murugadossnference, Cambridge, MA 02139, USA.
Michiel J M Niesennference, Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0002-9255-6203
Bharathwaj Raghunathannference, Toronto, ON M5V 1M1, Canada.
Patrick J Lenehannference, Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0002-1950-9179
Pritha Ghoshnference Labs, Bengaluru, Karnataka 560017, India.
Tyler Feenernference, Toronto, ON M5V 1M1, Canada.
Praveen Anandnference Labs, Bengaluru, Karnataka 560017, India.
Safak Simseknference, Cambridge, MA 02139, USA.
Rohit Suratekarnference Labs, Bengaluru, Karnataka 560017, India.
Travis K Hughesnference, Cambridge, MA 02139, USA.
Venky Soundararajannference, Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0001-7434-9211

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly transmissible or immuno-evasive SARS-CoV-2 variants have intermittently emerged, resulting in repeated COVID-19 surges. With over 6 million SARS-CoV-2 genomes sequenced, there is unprecedented data to decipher the evolution of fitter SARS-CoV-2 variants. Much attention has been directed to studying the functional importance of specific mutations in the Spike protein, but there is limited knowledge of genomic signatures shared by dominant variants. Here, we introduce a method to quantify the genome-wide distinctiveness of polynucleotide fragments (3- to 240-mers) that constitute SARS-CoV-2 sequences. Compared to standard phylogenetic metrics and mutational load, the new metric provides improved separation between Variants of Concern (VOCs; Reference = 89, IQR: 65-108; Alpha = 166, IQR: 149-181; Beta 131, IQR: 114-149; Gamma = 164, IQR: 150-178; Delta = 235, IQR: 217-255; and Omicron = 459, IQR: 395-521). Omicron's high genomic distinctiveness may confer an advantage over prior VOCs and the recently emerged and highly mutated B.1.640.2 (IHU) lineage. Evaluation of 883 lineages highlights that genomic distinctiveness has increased over time (

Identifiers

PMID36712796
PMCPMC9802374

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.