ReviewGenome research2015
Contrasting genetic architectures in different mouse reference populations used for studying complex traits.
Review in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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
40 citing papers in PubMed, 64 citations in OpenAlex.
- Deconstruction ofbioRxiv : the preprint server for biology · 2026Article
- Establishing the hybrid rat diversity program: a resource for dissecting complex traits.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Twenty-first century mouse genetics is again at an inflection point.Lab animal · 2025Review
- Unlocking metabolic insights with mouse genetic diversity.The EMBO journal · 2024Article
- A complete chromosome substitution mapping panel reveals genome-wide epistasis in Arabidopsis.Heredity · 2024Article
- A Missense Pathogenic Variant in a Conserved Region ofMolecular syndromology · 2023Article
- Intermediate Molecular Phenotypes to Identify Genetic Markers of Anthracycline-Induced Cardiotoxicity Risk.Cells · 2023Article
- Intermediate molecular phenotypes to identify genetic markers of anthracycline-induced cardiotoxicity risk.bioRxiv : the preprint server for biology · 2023Article
- Comparative genomic analyses of multiple backcross mouse populations suggest SGCG as a novel potential obesity-modifier gene.Human molecular genetics · 2022Article
- Genetics of murine type 2 diabetes and comorbidities.Mammalian genome : official journal of the International Mammalian Genome Society · 2022Review
- Genetic Modifiers of Oral Nicotine Consumption inFrontiers in psychiatry · 2021Article
- A Novel Mapping Strategy Utilizing Mouse Chromosome Substitution Strains Identifies Multiple Epistatic Interactions That Regulate Complex Traits.G3 (Bethesda, Md.) · 2020Article
- Modeling epistasis in mice and yeast using the proportion of two or more distinct genetic backgrounds: Evidence for "polygenic epistasis".PLoS genetics · 2020Article
- The Genetics of Variation of the Wave 1 Amplitude of the Mouse Auditory Brainstem Response.Journal of the Association for Research in Otolaryngology : JARO · 2020Article
- Mouse Systems Genetics as a Prelude to Precision Medicine.Trends in genetics : TIG · 2020Review
- Systems genetics applications in metabolism research.Nature metabolism · 2019Review
- Untangling the genomics of noise-induced hearing loss and tinnitus: Contributions of Mus musculus and Homo sapiens.The Journal of the Acoustical Society of America · 2019Review
- Whole Genome Sequencing of the Mutamouse Model Reveals Strain- and Colony-Level Variation, and Genomic Features of the Transgene Integration Site.Scientific reports · 2019Article
- Benefits and limitations of genome-wide association studies.Nature reviews. Genetics · 2019Review
- Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Quantitative trait loci (QTLs) are being used to study genetic networks, protein functions, and systems properties that underlie phenotypic variation and disease risk in humans, model organisms, agricultural species, and natural populations. The challenges are many, beginning with the seemingly simple tasks of mapping QTLs and identifying their underlying genetic determinants. Various specialized resources have been developed to study complex traits in many model organisms. In the mouse, remarkably different pictures of genetic architectures are emerging. Chromosome Substitution Strains (CSSs) reveal many QTLs, large phenotypic effects, pervasive epistasis, and readily identified genetic variants. In contrast, other resources as well as genome-wide association studies (GWAS) in humans and other species reveal genetic architectures dominated with a relatively modest number of QTLs that have small individual and combined phenotypic effects. These contrasting architectures are the result of intrinsic differences in the study designs underlying different resources. The CSSs examine context-dependent phenotypic effects independently among individual genotypes, whereas with GWAS and other mouse resources, the average effect of each QTL is assessed among many individuals with heterogeneous genetic backgrounds. We argue that variation of genetic architectures among individuals is as important as population averages. Each of these important resources has particular merits and specific applications for these individual and population perspectives. Collectively, these resources together with high-throughput genotyping, sequencing and genetic engineering technologies, and information repositories highlight the power of the mouse for genetic, functional, and systems studies of complex traits and disease models.
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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.