Evidence map›Paper›PMID 37272825›Full record

ArticleJournal of clinical microbiology2023

Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores.

Emily Maggioncalda, Evan Snitkin

Abstract readComment
In one paragraph

Article in Journal of clinical microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Emily MaggioncaldaDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Evan SnitkinDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, USA.ORCID 0000-0001-8409-278X

Funding

Regional genomic epidemiology to identify drivers of resistance, transmission and infection with carbapenem-resistant Klebsiella pneumoniaeR01AI148259 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SNITKIN, EVAN · 2020 to 2023
$2.2M
Elucidating genetic mechanisms of Clostridioides difficile pathogenesis and patient immune manipulationF32AI169765 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MAGGIONCALDA, EMILY · 2023 to 2024
$83k
NIAID NIH HHS F32 AI169765NIAID NIH HHS R01 AI148259
6 · The paper itself

Abstract

Determining the risk of a phenotypic outcome is a complex balance of variants "for" or "against" the phenotype, which in the context of human genetic diseases have been summarized using polygenic risk scores. In a previously published article (K. T. Hellmann, L. Challagundla, B. M. Gray, D. A. Robinson, J Clin Microbiol 61:e01412-22, 2023, https://doi.org/10.1128/jcm.01412-22), Hellmann and colleagues demonstrate how the use of a bacterial polygenic risk score to predict S. epidermidis infection versus colonization in neonates led to both increases in predictive accuracy and improved generalizability to external data.

Indexed as

Genome-Wide Association StudyStaphylococcus epidermidisHumansInfant, NewbornPhenotypeRisk Factors

Identifiers

PMID37272825
PMCPMC10358154

What OpenQuestion holds

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LicenceCC BY
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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.