Evidence map›Paper›PMID 20174570›Full record

ArticlePLoS genetics2010

Genome-wide identification of susceptibility alleles for viral infections through a population genetics approach.

Matteo Fumagalli, Uberto Pozzoli, Rachele Cagliani, Giacomo P Comi, Nereo Bresolin, Mario Clerici, Manuela Sironi

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  12. Systems Biology Approaches for Therapeutics Development Against COVID-19.Frontiers in cellular and infection microbiology · 2020
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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

7 authors at 4 institutions in 1 country.

Matteo FumagalliScientific Institute IRCCS E. Medea, Bioinformatic Lab, Bosisio Parini (LC), Italy.
Uberto Pozzoli
Rachele Cagliani
Giacomo P Comi
Nereo Bresolin
Mario Clerici
Manuela Sironi
IRCCS Eugenio Medea · ITUniversity of Milan · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITPolitecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses have exerted a constant and potent selective pressure on human genes throughout evolution. We utilized the marks left by selection on allele frequency to identify viral infection-associated allelic variants. Virus diversity (the number of different viruses in a geographic region) was used to measure virus-driven selective pressure. Results showed an excess of variants correlated with virus diversity in genes involved in immune response and in the biosynthesis of glycan structures functioning as viral receptors; a significantly higher than expected number of variants was also seen in genes encoding proteins that directly interact with viral components. Genome-wide analyses identified 441 variants significantly associated with virus-diversity; these are more frequently located within gene regions than expected, and they map to 139 human genes. Analysis of functional relationships among genes subjected to virus-driven selective pressure identified a complex network enriched in viral products-interacting proteins. The novel approach to the study of infectious disease epidemiology presented herein may represent an alternative to classic genome-wide association studies and provides a large set of candidate susceptibility variants for viral infections.

Indexed as

AllelesGenetic Predisposition to DiseaseGene Regulatory NetworksGenetics, PopulationGenetic VariationGenome-Wide Association StudyHumansPolymorphism, Single NucleotideSelection, GeneticVirus DiseasesViruses

Identifiers

PMID20174570
PMCPMC2824813
OpenAlexW2042066248

What OpenQuestion holds

Textmetadata
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.