ReviewTrends in genetics : TIG2022
Maturation and application of phenome-wide association studies.
Review in Trends in genetics : TIG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- A Mendelian randomization study reveals TNF-β as a potential protective factor against sarcopenia.Medicine · 2026Article
- Article
- Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health.Cell genomics · 2024Article
- Study of tree shrew biology and models: A booming and prosperous field for biomedical research.Zoological research · 2024Review
- Translation of genome-wide association study: from genomic signals to biological insights.Frontiers in genetics · 2024Review
- Genetic variants in hypoxia-inducible factor pathway are associated with colorectal cancer risk and immune infiltration.Journal of cellular and molecular medicine · 2024Article
- Identification of genetic profile and biomarkers involved in acute respiratory distress syndrome.Intensive care medicine · 2024Article
- From genetic correlations of Alzheimer's disease to classification with artificial neural network models.Functional & integrative genomics · 2023Article
- Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis.Human genetics · 2023Article
- Pharmacogenomics: Driving Personalized Medicine.Pharmacological reviews · 2023Review
- Ayurgenomics-based frameworks in precision and integrative medicine: Translational opportunities.Cambridge prisms. Precision medicine · 2023Review
- Editorial: Current Status and Future Challenges of Biobank Data Analysis.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In the past 10 years since its introduction, phenome-wide association studies (PheWAS) have uncovered novel genotype-phenotype relationships. Along the way, PheWAS have evolved in many aspects as a study design with the expanded availability of large data repositories with genome-wide data linked to detailed phenotypic data. Advancement in methods, including algorithms, software, and publicly available integrated resources, makes it feasible to more fully realize the potential of PheWAS, overcoming the previous computational and analytical limitations. We review here the most recent improvements and notable applications of PheWAS since the second half of the decade from its inception. We also note the challenges that remain embedded along the entire PheWAS analytical pipeline that necessitate further development of tools and resources to further advance the understanding of the complex genetic architecture underlying human diseases and traits.
Indexed as
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.