Evidence map›Paper›PMID 35927623›Full record

ArticleBMC bioinformatics2022

ImputAccur: fast and user-friendly calculation of genotype-imputation accuracy-measures.

Kolja A Thormann, Viola Tozzi, Paula Starke, Heike Bickeböller, Marcus Baum, Albert Rosenberger

Abstract read
In one paragraph

Article in BMC bioinformatics, 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

6 authors.

Kolja A ThormannInstitute of Computer Science, Georg-August-University Göttingen, 37077, Göttingen, Germany. koljaalexander.thormann@uni-goettingen.de.
Viola TozziDepartment of Genetic Epidemiology, University Medical Center Göttingen, 37079, Göttingen, Germany.
Paula StarkeDepartment of Genetic Epidemiology, University Medical Center Göttingen, 37079, Göttingen, Germany.
Heike BickeböllerDepartment of Genetic Epidemiology, University Medical Center Göttingen, 37079, Göttingen, Germany.
Marcus BaumInstitute of Computer Science, Georg-August-University Göttingen, 37077, Göttingen, Germany.
Albert RosenbergerDepartment of Genetic Epidemiology, University Medical Center Göttingen, 37079, Göttingen, Germany. arosenb@gwdg.de.ORCID http://orcid.org/0000-0001-7848-1332

Funding

Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos · 2017 to 2026
$23.7M
NCI NIH HHS U19 CA203654
6 · The paper itself

Abstract

backgroundImputAccur is a software tool to measure genotype-imputation accuracy. Imputation of untyped markers is a standard approach in genome-wide association studies to close the gap between directly genotyped and other known DNA variants. However, high accuracy for imputed genotypes is fundamental. Several accuracy measures have been proposed, but unfortunately, they are implemented on different platforms, which is impractical.

resultsWith ImputAccur, the accuracy measures info, Iam-hiQ and r

conclusionsThe source code (Python version 3.9.4), a standalone executive file, and example data for ImputAccur are freely available at https://gitlab.gwdg.de/kolja.thormann1/imputationquality.git .

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideGenotypeSoftwareAccuracyGWASImputationMarker selectionQuality controlSNP

Identifiers

PMID35927623
PMCPMC9351229

What OpenQuestion holds

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LicenceCC BY
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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.