ArticleFrontiers in genetics2015
The differential view of genotype-phenotype relationships.
Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Significant Association Between XRCC1 Expression and Its rs25487 Polymorphism and Radiotherapy-Related Cancer Prognosis.Frontiers in oncology · 2021Pooled it
- Metabolomic Profiles in Down Syndrome: A Scoping Review of Convergent and Context-Dependent Patterns.Journal of intellectual disability research : JIDR · 2026Article
- deepBreaks identifies and prioritizes genotype-phenotype associations using machine learning.Scientific reports · 2025Article
- Potential of Proteomics in Forensic Phenotyping: A Focus on Biological Sex Estimation.Journal of proteome research · 2025Article
- A mathematical framework for the quantitative analysis of genetic buffering.PLoS genetics · 2025Article
- Utilization of CoRDS registry to monitor quality of life in patients with VCP multisystem proteinopathy.Orphanet journal of rare diseases · 2025Article
- Article
- Phenotype prediction in plants is improved by integrating large-scale transcriptomic datasets.NAR genomics and bioinformatics · 2024Article
- A Donor Registry: Genomic Analyses ofEcology and evolution · 2024Article
- Identification of Specific microRNAs in Adipose Tissue Affected by Lipedema.Current issues in molecular biology · 2024Article
- Artificial Intelligence in Metabolomics: A Current Review.Trends in analytical chemistry : TRAC · 2024Article
- Robustness quantification of a mutant library screen revealed key genetic markers in yeast.Microbial cell factories · 2024Article
- Comparison of the gene expression profile of testicular tissue before and after sexual maturity in Qianbei Ma goats.BMC veterinary research · 2024Article
- CyVerse: Cyberinfrastructure for open science.PLoS computational biology · 2024Article
- Discovering genotype-phenotype relationships with machine learning and the Visual Physiology Opsin Database (VPOD).GigaScience · 2024Article
- A potential role of a special type of abortive seeds inFrontiers in plant science · 2024Article
- Convergent genomic signatures of local adaptation across a continental-scale environmental gradient.Science advances · 2023Article
- Functional comparison of metabolic networks across species.Nature communications · 2023Article
- Article
- Contribution of Genetic Polymorphisms in Human Health.International journal of environmental research and public health · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
An integrative view of diversity and singularity in the living world requires a better understanding of the intricate link between genotypes and phenotypes. Here we re-emphasize the old standpoint that the genotype-phenotype (GP) relationship is best viewed as a connection between two differences, one at the genetic level and one at the phenotypic level. As of today, predominant thinking in biology research is that multiple genes interact with multiple environmental variables (such as abiotic factors, culture, or symbionts) to produce the phenotype. Often, the problem of linking genotypes and phenotypes is framed in terms of genotype and phenotype maps, and such graphical representations implicitly bring us away from the differential view of GP relationships. Here we show that the differential view of GP relationships is a useful explanatory framework in the context of pervasive pleiotropy, epistasis, and environmental effects. In such cases, it is relevant to view GP relationships as differences embedded into differences. Thinking in terms of differences clarifies the comparison between environmental and genetic effects on phenotypes and helps to further understand the connection between genotypes and phenotypes.
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.