ReviewThe Journal of physiology2013
Bridging the genotype-phenotype gap: what does it take?
Review in The Journal of physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Precision medicine in low-income settings and small island developing states.Nature reviews. Endocrinology · 2026Review
- Plasma Proteomic Signatures for Diverticulitis Risk Stratification.The Journal of surgical research · 2026Article
- A mathematical framework for the quantitative analysis of genetic buffering.PLoS genetics · 2025Article
- Evaluation of loci to predict ear morphology using two SNaPshot assays.Forensic science, medicine, and pathology · 2023Article
- Drought stress detection technique for wheat crop using machine learning.PeerJ. Computer science · 2023Article
- Improving Coconut Using Modern Breeding Technologies: Challenges and Opportunities.Plants (Basel, Switzerland) · 2022Review
- The Non-Linear Path from Gene Dysfunction to Genetic Disease: Lessons from the MICPCH Mouse Model.Cells · 2022Review
- The BrAID study protocol: integration of machine learning and transcriptomics for brugada syndrome recognition.BMC cardiovascular disorders · 2021Article
- Perception-driven dynamics of mimicry based on attractor field model.Interface focus · 2021Article
- Grand Challenges for Artificial Intelligence in Molecular Medicine.Frontiers in molecular medicine · 2021Article
- Applications of Multi-Omics Technologies for Crop Improvement.Frontiers in plant science · 2021Review
- Phenotypes to remember: Evolutionary developmental memory capacity and robustness.PLoS computational biology · 2020Article
- Low Entropy Sub-Networks Prevent the Integration of Metabolomic and Transcriptomic Data.Entropy (Basel, Switzerland) · 2020Article
- Development of a novel and rapid phenotype-based screening method to assess rice seedling growth.Plant methods · 2020Article
- Changes in gene expression predictably shift and switch genetic interactions.Nature communications · 2019Article
- Using a system of differential equations that models cattle growth to uncover the genetic basis of complex traits.Journal of applied genetics · 2017Article
- Translating natural genetic variation to gene expression in a computational model of the Drosophila gap gene regulatory network.PloS one · 2017Article
- A mathematical model for active contraction in healthy and failing myocytes and left ventricles.PloS one · 2017Article
- Image Harvest: an open-source platform for high-throughput plant image processing and analysis.Journal of experimental botany · 2016Article
- Conformational changes of an ion-channel during gating and emerging electrophysiologic properties: Application of a computational approach to cardiac Kv7.1.Progress in biophysics and molecular biology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The genotype-phenotype map (GP map) concept applies to any time point in the ontogeny of a living system. It is the outcome of very complex dynamics that include environmental effects, and bridging the genotype-phenotype gap is synonymous with understanding these dynamics. The context for this understanding is physiology, and the disciplinary goals of physiology do indeed demand the physiological community to seek this understanding. We claim that this task is beyond reach without use of mathematical models that bind together genetic and phenotypic data in a causally cohesive way. We provide illustrations of such causally cohesive genotype-phenotype models where the phenotypes span from gene expression profiles to development of whole organs. Bridging the genotype-phenotype gap also demands that large-scale biological ('omics') data and associated bioinformatics resources be more effectively integrated with computational physiology than is currently the case. A third major element is the need for developing a phenomics technology way beyond current state of the art, and we advocate the establishment of a Human Phenome Programme solidly grounded on biophysically based mathematical descriptions of human physiology.
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.