Evidence map›Paper›PMID 35896971›Full record

ArticleBMC bioinformatics2022

Canary: an automated tool for the conversion of MaCH imputed dosage files to PLINK files.

Adam N Bennett, Jethro Rainford, Xiaotai Huang, Qian He, Kei Hang Katie Chan

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Adam N BennettJockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0001-8307-327X
Jethro Rainford.
Xiaotai HuangSchool of Computer Science and Technology, Xidian University, Xi'an, 710071, Shaanxi, China.
Qian HeDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-4346-9899
Kei Hang Katie ChanDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China. katie.kh.chan@cityu.edu.hk.ORCID http://orcid.org/0000-0001-9070-5394

Funding

WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
City University of Hong Kong New Research Initiative/Infrastructure Support from Central (APRC) 9610401WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

backgroundPrevious studies have demonstrated the value of re-analysing publicly available genetics data with recent analytical approaches. Publicly available datasets, such as the Women's Health Initiative (WHI) offered by the database of genotypes and phenotypes (dbGaP), provide a wealthy resource for researchers to perform multiple analyses, including Genome-Wide Association Studies. Often, the genetic information of individuals in these datasets are stored in imputed dosage files output by MaCH; mldose and mlinfo files. In order for researchers to perform GWAS studies with this data, they must first be converted to a file format compatible with their tool of choice e.g., PLINK. Currently, there is no published tool which easily converts the datasets provided in MACH dosage files into PLINK-ready files.

resultsHerein, we present Canary a singularity-based tool which converts MaCH dosage files into PLINK-compatible files with a single line of user input at the command line. Further, we provide a detailed tutorial on preparation of phenotype files. Moreover, Canary comes with preinstalled software often used during GWAS studies, to further increase the ease-of-use of HPC systems for researchers.

conclusionsUntil now, conversion of imputed data in the form of MaCH mldose and mlinfo files needed to be completed manually. Canary uses singularity container technology to allow users to automatically convert these MaCH files into PLINK compatible files. Additionally, Canary provides researchers with a platform to conduct GWAS analysis more easily as it contains essential software needed for conducting GWAS studies, such as PLINK and Bioconductor. We hope that this tool will greatly increase the ease at which researchers can perform GWAS with imputed data, particularly on HPC environments.

Indexed as

Genome-Wide Association StudyFemaleHumansPhenotypePolymorphism, Single NucleotideSoftwareDosage fileGWASImputed dataMaCHPLINK

Identifiers

PMID35896971
PMCPMC9327220

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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.