ArticleNAR genomics and bioinformatics2020
JASS: command line and web interface for the joint analysis of GWAS results.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.PLoS genetics · 2025Pooled it
- Genetic architecture of cytokine autoantibodies and associated risk of common diseases.Nature communications · 2026Article
- Multi-trait GWAS reveals divergent local and polygenic architecture of cardiovascular traits across African and European ancestries in the UK Biobank.Communications biology · 2026Article
- Dissecting pleiotropy to gain mechanistic insights into human disease.Nature reviews. Genetics · 2026Review
- Large-scale composite hypothesis testing procedure for omics data analyses.NAR genomics and bioinformatics · 2025Article
- Genome-wide large-scale multi-trait analysis characterizes global patterns of pleiotropy and unique trait-specific variants.Nature communications · 2024Article
- Trait selection strategy in multi-trait GWAS: Boosting SNP discoverability.HGG advances · 2024Article
- MANOCCA: a robust and computationally efficient test of covariance in high-dimension multivariate omics data.Briefings in bioinformatics · 2024Article
- Multi-trait GWAS for diverse ancestries: mapping the knowledge gap.BMC genomics · 2024Article
- A perspective on genetic and polygenic risk scores-advances and limitations and overview of associated tools.Briefings in bioinformatics · 2024Review
- The melatonin receptor 1B gene links circadian rhythms and type 2 diabetes mellitus: an evolutionary story.Annals of medicine · 2023Review
- Trait selection strategy in multi-trait GWAS: Boosting SNPs discoverability.bioRxiv : the preprint server for biology · 2023Article
- Uncovering structural variants associated with body weight and obesity risk in labrador retrievers: a genome-wide study.Frontiers in genetics · 2023Article
- Fitting Gaussian mixture models on incomplete data.BMC bioinformatics · 2022Article
- Multitrait GWAS to connect disease variants and biological mechanisms.PLoS genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Genome-wide association study (GWAS) has been the driving force for identifying association between genetic variants and human phenotypes. Thousands of GWAS summary statistics covering a broad range of human traits and diseases are now publicly available. These GWAS have proven their utility for a range of secondary analyses, including in particular the joint analysis of multiple phenotypes to identify new associated genetic variants. However, although several methods have been proposed, there are very few large-scale applications published so far because of challenges in implementing these methods on real data. Here, we present JASS (Joint Analysis of Summary Statistics), a polyvalent Python package that addresses this need. Our package incorporates recently developed joint tests such as the omnibus approach and various weighted sum of
Identifiers
What OpenQuestion holds
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.