ReviewCell2015
The Convergence of Systems and Reductionist Approaches in Complex Trait Analysis.
Review in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 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
41 citing papers in PubMed.
- Challenges and Opportunities in Multi-Omics Data Acquisition and Analysis: Toward Integrative Solutions.Biomolecules · 2026Review
- Rethinking medical education through systems biology to address complexity.NPJ systems biology and applications · 2026Review
- Synthetic microbial communities: a novel emerging models for dissecting gut microbiota-host interactions in neurodegenerative diseases.Frontiers in immunology · 2026Review
- Progressive Retinal Vascular and Neuronal Degeneration in BXD32 Mice: A Model for Age-Dependent Neurovascular Pathology.International journal of molecular sciences · 2025Article
- Genetic mapping of lifespan and mitochondrial stress response inbioRxiv : the preprint server for biology · 2025Article
- From Parts to Whole: A Systems Biology Approach to Decoding Milk Fever.Veterinary sciences · 2025Review
- Can a plant biologist fix a thermostat?The New phytologist · 2025Review
- Unlocking metabolic insights with mouse genetic diversity.The EMBO journal · 2024Article
- High-content phenotypic analysis of a C. elegans recombinant inbred population identifies genetic and molecular regulators of lifespan.Cell reports · 2024Article
- High-content phenotypic analysis ofbioRxiv : the preprint server for biology · 2024Article
- Review: Cancer and neurodevelopmental disorders: multi-scale reasoning and computational guide.Frontiers in cell and developmental biology · 2024Review
- Early-life peripheral infections reprogram retinal microglia and aggravate neovascular age-related macular degeneration in later life.The Journal of clinical investigation · 2023Article
- Comethyl: a network-based methylome approach to investigate the multivariate nature of health and disease.Briefings in bioinformatics · 2022Article
- Reduced ech-6 expression attenuates fat-induced lifespan shortening in C. elegans.Scientific reports · 2022Article
- Beyond to the Stable: Role of the Insertion Sequences as Epidemiological Descriptors inFrontiers in microbiology · 2022Article
- CoffeeProt: an online tool for correlation and functional enrichment of systems genetics data.Nucleic acids research · 2021Article
- Article
- Alcohol Sensitivity as an Endophenotype of Alcohol Use Disorder: Exploring Its Translational Utility between Rodents and Humans.Brain sciences · 2020Review
- Confounding factors from inducible systems for spatiotemporal gene expression regulation.The Journal of cell biology · 2020Article
- Mouse Systems Genetics as a Prelude to Precision Medicine.Trends in genetics : TIG · 2020Review
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
Research into the genetic and environmental factors behind complex trait variation has traditionally been segregated into distinct scientific camps. The reductionist approach aims to decrypt phenotypic variability bit by bit, founded on the underlying hypothesis that genome-to-phenome relations are largely constructed from the additive effects of their molecular players. In contrast, the systems approach aims to examine large-scale interactions of many components simultaneously, on the premise that interactions in gene networks can be both linear and non-linear. Both approaches are complementary, and they are becoming increasingly intertwined due to developments in gene editing tools, omics technologies, and population resources. Together, these strategies are beginning to drive the next era in complex trait research, paving the way to improve agriculture and toward more personalized medicine.
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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.