Evidence map›Paper›PMID 38709879›Full record

ArticleNucleic acids research2024

Imputation Server PGS: an automated approach to calculate polygenic risk scores on imputation servers.

Lukas Forer, Daniel Taliun, Jonathon LeFaive, Albert V Smith, Andrew P Boughton, Stefan Coassin, Claudia Lamina, Florian Kronenberg, Christian Fuchsberger, Sebastian Schönherr

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Polygenic Score Catalog: new functionality and tools to enable FAIR research.medRxiv : the preprint server for health sciences · 2024
    Article
  10. 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

10 authors.

Lukas ForerInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-2139-7329
Daniel TaliunCanada Excellence Research Chair in Genomic Medicine, McGill University, Montreal, Québec, Canada.
Jonathon LeFaiveDepartment of Biostatistics and the Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-3668-6086
Albert V SmithDepartment of Biostatistics and the Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Andrew P BoughtonDepartment of Biostatistics and the Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Stefan CoassinInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0001-5677-8979
Claudia LaminaInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-5398-5806
Florian KronenbergInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-2229-1120
Christian FuchsbergerInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
Sebastian SchönherrInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0001-5909-9226

Funding

Medical University of Innsbruck
6 · The paper itself

Abstract

Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele dosages for genetic variants associated with the trait or disease in question. Present approaches for calculating PGS from genotypes are often inefficient and labor-intensive, limiting transferability into clinical applications. Here, we present 'Imputation Server PGS', an extension of the Michigan Imputation Server designed to automate a standardized calculation of polygenic scores based on imputed genotypes. This extends the widely used Michigan Imputation Server with new functionality, bringing the simplicity and efficiency of modern imputation to the PGS field. The service currently supports over 4489 published polygenic scores from publicly available repositories and provides extensive quality control, including ancestry estimation to report population stratification. An interactive report empowers users to screen and compare thousands of scores in a fast and intuitive way. Imputation Server PGS provides a user-friendly web service, facilitating the application of polygenic scores to a wide range of genetic studies and is freely available at https://imputationserver.sph.umich.edu.

Indexed as

Genetic Predisposition to DiseaseMultifactorial InheritanceSoftwareAllelesGenetic Risk ScoreGenome-Wide Association StudyGenotypeHumansInternetPolymorphism, Single Nucleotide

Identifiers

PMID38709879
PMCPMC11223871

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.