ArticleG3 (Bethesda, Md.)2019
Determinants of QTL Mapping Power in the Realized Collaborative Cross.
Article in G3 (Bethesda, Md.), 2019. 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
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
40 citing papers in PubMed.
- Hippocampal snRNA-seq in Collaborative Cross reveals molecular signatures of cognitive resilience independent of chronological aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Integrative Principal Component-QTL Mapping Identifies Genetic Modifiers of Tumor and Metabolic Traits inInternational journal of molecular sciences · 2026Article
- LocusPackRat: an R package to support prioritizing candidate genes from large GWAS intervals with standardized evidence aggregation.G3 (Bethesda, Md.) · 2026Article
- Genetic determinants of heart failure susceptibility and response in the collaborative cross mouse population.Genetics · 2026Article
- Novel candidate genes for vestibular function identified through GWAS in the hybrid mouse diversity panel.BMC genomics · 2026Article
- Genetic diversity of Collaborative Cross mice implicates FFAR3 as a target for ILC2 anti-inflammatory reprogramming.Nature communications · 2026Article
- LocusPackRat: a Semi-Automated Framework for Prioritizing Candidate Genes from Large GWAS Intervals.bioRxiv : the preprint server for biology · 2025Article
- Crystalline silica exposure induces multiple systemic autoimmune phenotypes including inflammatory arthritis and nephritis in Collaborative Cross mice with differing sub-clinical autoimmune profiles.bioRxiv : the preprint server for biology · 2025Article
- System genetic analysis of intestinal cancer and periodontitis development as influenced by aging and diabesity using Collaborative Cross mice.Animal models and experimental medicine · 2025Review
- Quantitative trait loci mapping provides insights into the genetic regulation of dendritic cell numbers in mouse tissues.Cell reports · 2024Article
- Collaborative Cross mice have diverse phenotypic responses to infection with Methicillin-resistant Staphylococcus aureus USA300.PLoS genetics · 2024Article
- Rodent Models for ASD Biomarker Development.Advances in neurobiology · 2024Review
- Article
- Which mouse multiparental population is right for your study? The Collaborative Cross inbred strains, their F1 hybrids, or the Diversity Outbred population.G3 (Bethesda, Md.) · 2023Article
- Article
- Multi-omics analysis identifies drivers of protein phosphorylation.Genome biology · 2023Article
- Intravenous fentanyl self-administration in male and female C57BL/6J and DBA/2J mice.Scientific reports · 2023Article
- Peanut butter feeding induces oral tolerance in genetically diverse collaborative cross mice.Frontiers in allergy · 2023Article
- Morphine analgesia in male inbred genetic diversity mice recapitulates the among-individual variance in response to morphine in humans.Animal models and experimental medicine · 2022Article
- Evaluating the power and limitations of genome-wide association studies in Caenorhabditis elegans.G3 (Bethesda, Md.) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The Collaborative Cross (CC) is a mouse genetic reference population whose range of applications includes quantitative trait loci (QTL) mapping. The design of a CC QTL mapping study involves multiple decisions, including which and how many strains to use, and how many replicates per strain to phenotype, all viewed within the context of hypothesized QTL architecture. Until now, these decisions have been informed largely by early power analyses that were based on simulated, hypothetical CC genomes. Now that more than 50 CC strains are available and more than 70 CC genomes have been observed, it is possible to characterize power based on realized CC genomes. We report power analyses from extensive simulations and examine several key considerations: 1) the number of strains and biological replicates, 2) the QTL effect size, 3) the presence of population structure, and 4) the distribution of functionally distinct alleles among the founder strains at the QTL. We also provide general power estimates to aide in the design of future experiments. All analyses were conducted with our R package, SPARCC (Simulated Power Analysis in the Realized Collaborative Cross), developed for performing either large scale power analyses or those tailored to particular CC experiments.
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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.