Evidence map›Paper›PMID 27497439›Full record

ArticleBioinformatics (Oxford, England)2016

genipe: an automated genome-wide imputation pipeline with automatic reporting and statistical tools.

Louis-Philippe Lemieux Perreault, Marc-André Legault, Géraldine Asselin, Marie-Pierre Dubé

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Genomic dissection of sleep archetypes in a large autism cohort.medRxiv : the preprint server for health sciences · 2025
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  19. gwasurvivr: an R package for genome-wide survival analysis.Bioinformatics (Oxford, England) · 2019
    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

4 authors.

Louis-Philippe Lemieux PerreaultBeaulieu-Saucier Université de Montréal Pharmacogenomics Centre, Montreal Heart Institute Research Center, Montréal, Canada H1T 1C8.
Marc-André LegaultBeaulieu-Saucier Université de Montréal Pharmacogenomics Centre, Montreal Heart Institute Research Center, Montréal, Canada H1T 1C8.
Géraldine AsselinBeaulieu-Saucier Université de Montréal Pharmacogenomics Centre, Montreal Heart Institute Research Center, Montréal, Canada H1T 1C8.
Marie-Pierre DubéBeaulieu-Saucier Université de Montréal Pharmacogenomics Centre, Montreal Heart Institute Research Center, Montréal, Canada H1T 1C8.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotype imputation is now commonly performed following genome-wide genotyping experiments. Imputation increases the density of analyzed genotypes in the dataset, enabling fine-mapping across the genome. However, the process of imputation using the most recent publicly available reference datasets can require considerable computation power and the management of hundreds of large intermediate files. We have developed genipe, a complete genome-wide imputation pipeline which includes automatic reporting, imputed data indexing and management, and a suite of statistical tests for imputed data commonly used in genetic epidemiology (Sequence Kernel Association Test, Cox proportional hazards for survival analysis, and linear mixed models for repeated measurements in longitudinal studies). AVAILABILITY AND IMPLEMENTATION: The genipe package is an open source Python software and is freely available for non-commercial use (CC BY-NC 4.0) at https://github.com/pgxcentre/genipe Documentation and tutorials are available at http://pgxcentre.github.io/genipe CONTACT: louis-philippe.lemieux.perreault@statgen.org or marie-pierre.dube@statgen.orgSupplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

GenomeSoftwareComputational BiologyElectronic Data ProcessingGenomicsGenotypeHumans

Identifiers

PMID27497439
PMCPMC5181529

What OpenQuestion holds

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LicenceCC BY-NC
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.