ArticleBMC bioinformatics2022
H3AGWAS: a portable workflow for genome wide association studies.
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 9 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessment of the functionality and usability of open-source rare variant analysis pipelines.Briefings in bioinformatics · 2025Pooled it
- Genetic associations with alcohol drinking initiation and cessation in sub-Saharan African and African ancestry populations.Research square · 2026Article
- African-specific genetic loci determine iron status and risk of severe malaria and bacteremia in African children.Nature communications · 2026Article
- Genome-wide association study identifying novel risk variants associated with glycaemic traits in the continental African AWI-Gen cohort.Diabetologia · 2025Article
- Genome-wide association study identifies common variants associated with breast cancer in South African Black women.Nature communications · 2025Article
- Predicting suicidality in people living with HIV in Uganda: a machine learning approach.Frontiers in psychiatry · 2025Article
- Performing highly parallelized and reproducible GWAS analysis on biobank-scale data.NAR genomics and bioinformatics · 2024Article
- Genetic association and transferability for urinary albumin-creatinine ratio as a marker of kidney disease in four Sub-Saharan African populations and non-continental individuals of African ancestry.Frontiers in genetics · 2024Article
- Genome-wide association study of population-standardised cognitive performance phenotypes in a rural South African community.Communications biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundGenome-wide association studies (GWAS) are a powerful method to detect associations between variants and phenotypes. A GWAS requires several complex computations with large data sets, and many steps may need to be repeated with varying parameters. Manual running of these analyses can be tedious, error-prone and hard to reproduce.
resultsThe H3AGWAS workflow from the Pan-African Bioinformatics Network for H3Africa is a powerful, scalable and portable workflow implementing pre-association analysis, implementation of various association testing methods and post-association analysis of results.
conclusionsThe workflow is scalable-laptop to cluster to cloud (e.g., SLURM, AWS Batch, Azure). All required software is containerised and can run under Docker or Singularity.
Indexed as
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Registered trials
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.