ArticlePhysiological genomics2022
Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity.
Article in Physiological genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- Point mutations and complex variants impact gene expression and addiction-related behaviors in Heterogeneous Stock rats.bioRxiv : the preprint server for biology · 2026Article
- Identification of novel candidate neural genes for diet-induced obesity in outbred heterogeneous stock rats.Research square · 2026Article
- Obesity Biomarkers: Exploring Factors, Ramification, Machine Learning, and AI-Unveiling Insights in Health Research.MedComm · 2025Review
- RatXcan: A framework for cross-species integration of genome-wide association and gene expression data.PLoS genetics · 2025Article
- The Genetic Characteristics of FT-MIRS-Predicted Milk Fatty Acids in Chinese Holstein Cows.Animals : an open access journal from MDPI · 2024Article
- The Power of the Heterogeneous Stock Rat Founder Strains in Modeling Metabolic Disease.Endocrinology · 2023Article
- Genome-wide association studies of human and rat BMI converge on synapse, epigenome, and hormone signaling networks.Cell reports · 2023Article
- Genetic Mapping of Multiple Traits Identifies Novel Genes for Adiposity, Lipids, and Insulin Secretory Capacity in Outbred Rats.Diabetes · 2023Article
- Highlighting recent impactful publications inPhysiological genomics · 2022Article
- An American Physiological Society cross-journal Call for Papers on "The Physiology of Obesity".American journal of physiology. Lung cellular and molecular physiology · 2022Article
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
Abstract
Transcriptomic analysis in metabolically active tissues allows a systems genetics approach to identify causal genes and networks involved in metabolic disease. Outbred heterogeneous stock (HS) rats are used for genetic mapping of complex traits, but to-date, a systems genetics analysis of metabolic tissues has not been done. We investigated whether adiposity-associated genes and gene coexpression networks in outbred heterogeneous stock (HS) rats overlap those found in humans. We analyzed RNAseq data from adipose tissue of 415 male HS rats, correlated these transcripts with body weight (BW) and compared transcriptome signatures to two human cohorts: the "African American Genetics of Metabolism and Expression" and "Metabolic Syndrome in Men." We used weighted gene coexpression network analysis to identify adiposity-associated gene networks and mediation analysis to identify genes under genetic control whose expression drives adiposity. We identified 554 orthologous "consensus genes" whose expression correlates with BW in the rat and with body mass index (BMI) in both human cohorts. Consensus genes fell within eight coexpressed networks and were enriched for genes involved in immune system function, cell growth, extracellular matrix organization, and lipid metabolic processes. We identified 19 consensus genes for which genetic variation may influence BW via their expression, including those involved in lipolysis (e.g.,
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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 Socratic graph.