ArticleMolecular autism2018
Modeling the quantitative nature of neurodevelopmental disorders using Collaborative Cross mice.
Article in Molecular autism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 38 citations in OpenAlex.
- Derivation of ultrasound and electrocardiogram cardiac reference ranges for Mus musculus using the collaborative cross and identification of new cardiac models.BMC cardiovascular disorders · 2025Article
- Article
- An in vitro neurogenetics platform for precision disease modeling in the mouse.Science advances · 2024Article
- Suppression of Cofilin function in the somatosensory cortex alters social contact behavior in the BTBR mouse inbred line.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Rodent Models for ASD Biomarker Development.Advances in neurobiology · 2024Review
- Lowering fasting blood glucose with non-dialyzable material of cranberry extract is dependent on host genetic background, sex and diet.Animal models and experimental medicine · 2023Article
- Long-term Memory Testing in Children With Typical Development and Neurodevelopmental Disorders: Remote Web-based Image Task Feasibility Study.JMIR pediatrics and parenting · 2023Article
- Article
- Echocardiography phenotyping in murine genetic reference population of BXD strains reveals significant QTLs associated with cardiac function and morphology.Physiological genomics · 2023Article
- Genetic Mapping of Behavioral Traits Using the Collaborative Cross Resource.International journal of molecular sciences · 2022Article
- Genetic Background Matters: Population-Based Studies in Model Organisms for Translational Research.International journal of molecular sciences · 2022Review
- Studying host genetic background effects on multimorbidity of intestinal cancer development, type 2 diabetes and obesity in response to oral bacterial infection and high-fat diet using the collaborative cross (CC) lines.Animal models and experimental medicine · 2021Article
- Collaborative Cross mice reveal extreme epilepsy phenotypes and genetic loci for seizure susceptibility.Epilepsia · 2020Article
- Beyond the looking glass: recent advances in understanding the impact of environmental exposures on neuropsychiatric disease.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Review
- Determinants of QTL Mapping Power in the Realized Collaborative Cross.G3 (Bethesda, Md.) · 2019Article
- Whole Genome Sequencing and Progress Toward Full Inbreeding of the Mouse Collaborative Cross Population.G3 (Bethesda, Md.) · 2019Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Animal models for neurodevelopmental disorders (NDD) generally rely on a single genetic mutation on a fixed genetic background. Recent human genetic studies however indicate that a clinical diagnosis with ASDAutism Spectrum Disorder (ASD) is almost always associated with multiple genetic fore- and background changes. The translational value of animal model studies would be greatly enhanced if genetic insults could be studied in a more quantitative framework across genetic backgrounds. Methods: We used the Collaborative Cross (CC), a novel mouse genetic reference population, to investigate the quantitative genetic architecture of mouse behavioral phenotypes commonly used in animal models for NDD. Results: Classical tests of social recognition and grooming phenotypes appeared insufficient for quantitative studies due to genetic dilution and limited heritability. In contrast, digging, locomotor activity, and stereotyped exploratory patterns were characterized by continuous distribution across our CC sample and also mapped to quantitative trait loci containing genes associated with corresponding phenotypes in human populations. Conclusions: These findings show that the CC can move animal model studies beyond comparative single gene-single background designs, and point out which type of behavioral phenotypes are most suitable to quantify the effect of developmental etiologies across multiple genetic backgrounds.
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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.