ReviewNature metabolism2019
Systems genetics applications in metabolism research.
Review in Nature metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An atlas of genome-wide gene expression and metabolite associations and possible mediation effects towards body mass index.Journal of molecular medicine (Berlin, Germany) · 2023Pooled it
- Systems genetics approaches model the heritable architecture of polyendocrine metabolic ovarian syndrome.The Journal of clinical investigation · 2026Article
- Systems genetics reveals ITIH5 as a key mediator of adipocyte-Endothelial crosstalk.Molecular metabolism · 2026Article
- Enterocytes rely on purine biosynthesis/salvage pathway to facilitate dietary fat absorption.Nature communications · 2026Article
- Mendelian randomization identifies causal effects of phospholipids on portal vein thrombosis risk: FADS1/2-mediated pathways and their potential as diagnostic biomarkers.Nutrition & metabolism · 2026Article
- Sex-specific cardiac dysfunction in mice with chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025Article
- Collagen V regulates renal function after kidney injury and can be pharmacologically targeted to enhance kidney repair in mice.Science translational medicine · 2025Article
- Establishing the hybrid rat diversity program: a resource for dissecting complex traits.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Combinatorial In Vivo Genome Editing Identifies Widespread Epistasis and an Accessible Fitness Landscape During Lung Tumorigenesis.Molecular biology and evolution · 2025Article
- Scrutinizing neurodegenerative diseases: decoding the complex genetic architectures through a multi-omics lens.Human genomics · 2024Review
- Unlocking metabolic insights with mouse genetic diversity.The EMBO journal · 2024Article
- Striving for clarity in language about gene expression.Nucleic acids research · 2024Article
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- Gene Regulatory Networks in Coronary Artery Disease.Current atherosclerosis reports · 2023Review
- Systems genetics approaches for understanding complex traits with relevance for human disease.eLife · 2023Review
- Mechanisms Behind NAFLD: a System Genetics Perspective.Current atherosclerosis reports · 2023Review
- When diet meets genetics.eLife · 2023Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The common forms of metabolic diseases are highly complex, involving hundreds of genes, environmental and lifestyle factors, age-related changes, sex differences and gut-microbiome interactions. Systems genetics is a population-based approach to address this complexity. In contrast to commonly used 'reductionist' approaches, such as gain or loss of function, that examine one element at a time, systems genetics uses high-throughput 'omics' technologies to quantitatively assess the many molecular differences among individuals in a population and then to relate these to physiologic functions or disease states. Unlike genome-wide association studies, systems genetics seeks to go beyond the identification of disease-causing genes to understand higher-order interactions at the molecular level. The purpose of this review is to introduce the systems genetics applications in the areas of metabolic and cardiovascular disease. Here, we explain how large clinical and omics-level data and databases from both human and animal populations are available to help researchers place genes in the context of pathways and networks and formulate hypotheses that can then be experimentally examined. We provide lists of such databases and examples of the integration of reductionist and systems genetics data. Among the important applications emerging is the development of improved nutritional and pharmacological strategies to address the rise of metabolic diseases.
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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.