Evidence map›Paper›PMID 35275946›Full record

ArticlePloS one2022

Genetic variants associated with sepsis.

Milo Engoren, Elizabeth S Jewell, Nicholas Douville, Stephanie Moser, Michael D Maile, Melissa E Bauer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  14. Advances in Rodent Experimental Models of Sepsis.International journal of molecular sciences · 2023
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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

6 authors at 2 institutions in 1 country.

Milo EngorenDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0002-3367-1906
Elizabeth S JewellDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, United States of America.
Nicholas DouvilleDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, United States of America.
Stephanie MoserDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, United States of America.
Michael D MaileDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0001-8236-3371
Melissa E BauerDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, United States of America.
University of Michigan · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe variable presentations and different phenotypes of sepsis suggest that risk of sepsis comes from many genes each having a small effect. The cumulative effect can be used to create individual risk profile. The purpose of this study was to create a polygenic risk score and determine the genetic variants associated with sepsis.

methodsWe sequenced ~14 million single nucleotide polymorphisms with a minimac imputation quality R2>0.3 and minor allele frequency >10-6 in patients with Sepsis-2 or Sepsis-3. Genome-wide association was performed using Firth bias-corrected logistic regression. Semi-parsimonious logistic regression was used to create polygenic risk scores and reduced regression to determine the genetic variants independently associated with sepsis.

findings2261 patients had sepsis and 13,068 control patients did not. The polygenic risk scores had good discrimination: c-statistic = 0.752 ± 0.005 for Sepsis-2 and 0.752 ± 0.007 for Sepsis-3. We found 772 genetic variants associated with Sepsis-2 and 442 with Sepsis-3, p<0.01. After multivariate adjustment, 100 variants on 85 genes were associated with Sepsis-2 and 69 variants in 54 genes with Sepsis-3. Twenty-five variants were present in both the Sepsis-2 and Sepsis-3 groups out of 32 genes that were present in both groups. The other 7 genes had different variants present. Most variants had small effect sizes.

conclusionsSepsis-2 and Sepsis-3 have both separate and shared genetic variants. Most genetic variants have small effects sizes, but cumulatively, the polygenic risk scores have good discrimination.

Indexed as

Genome-Wide Association StudySepsisGene FrequencyGenetic Predisposition to DiseaseHumansMultifactorial InheritancePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID35275946
PMCPMC8916629
OpenAlexW4220947868

What OpenQuestion holds

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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.