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Dataset results
356 results for “heritability”
Data from: Telomere length is highly heritable and independent of growth rate manipulated by temperature in field crickets
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Data from: Lateral plate number in low-plated threespine stickleback: a study of plasticity and heritability
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Data from: High heritability of telomere length and low heritability of telomere shortening in wild birds
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Data from: Heritability estimates from genome wide relatedness matrices in wild populations: application to a passerine, using a small sample size
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Data from: Heritability and genetic correlations of personality, life history, and morphology in the grey mouse lemur (M. murinus)
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Data from: Heritability and social brood effects on personality in juvenile and adult life-history stages in a wild passerine
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Data from: RAD‐sequencing for estimating genomic relatedness matrix‐based heritability in the wild: a case study in roe deer
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Data from: The role of heritable and dietary factors in the sexual signal of a Hispaniolan Anolis lizard, Anolis distichus
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Data from: Heritable differences in fitness-related traits among populations of the mustard hill coral, Porites astreoides
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Data from: The ‘heritability’ of domestication and its functional partitioning in the pig
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Data from: Heritable variation in host tolerance and resistance inferred from a wild host– parasite system
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Data from: Horizontal Transmission of the Heritable Protective Endosymbiont Hamiltonella defensa Depends on Titre and Haplotype
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Estimating heritability in honeybees: comparison of three major methods based on empirical and simulated datasets
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Data from: Heritability of symbiont density reveals distinct regulatory mechanisms in a tripartite symbiosis
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Data for "Accurate Estimation of Marker-Associated Genetic Variance and Heritability in Complex Trait Analyses"
<p>This data is associated with the manuscript titled "Accurate Estimation of Marker-Associated Genetic Variance and Heritability in Complex Trait Analyses".</p> <p>9 files are contained. These files contain the summary statistics from the linear mixed model analyses in the simulations</p> <p>data_fig1a - all data for recreating Figure 1A</p> <p>data_fig1b - all data for recreating Figure 1B</p> <p>data_fig1c - all data for recreating Figure 1C</p> <p>data_fig1d - all data for recreating Figure 1D</p> <p>data_fig1e - all data for recreating Figure 1E</p> <p>data_fig1f - all data for recreating Figure 1F</p> <p>data_fig2 - all data for recreating Figure 2</p> <p>data_fig3 - all data for recreating Figure 3</p> <p>data_fig4 - all data for recreating Figure 4</p>
Data from "Leveraging mouse chromatin data for heritability enrichment informs common disease architecture and reveals cortical layer contributions to schizophrenia"
<p>All the data is from the final version of a paper exploring schizophrenia heritability with mouse chromatin data. The manuscript is entitled:</p> <p>"Leveraging mouse chromatin data for heritability enrichment informs common disease architecture and reveals cortical layer contributions to schizophrenia"</p> <p>The published manuscript can be found here: To be updated soon</p> <p>bioRxiv versions of the manuscript can be found here: <a href="https://www.biorxiv.org/content/10.1101/427484v1">https://www.biorxiv.org/content/10.1101/427484</a></p> <p>Code for analyzing and producing data can be found on GitHub: <a href="https://github.com/pwh124/open_chromatin">https://github.com/pwh124/open_chromatin</a></p>
Data from: Artificial selection reveals heritable variation for developmental instability
Fluctuating (nondirectional) asymmetry (FA) of bilaterally paired structures on a symmetrical organism is commonly used to assay the developmental instability (DI) caused by environmental or genetic factors. Although evidence for natural selection to reduce FA has been reported, evidence that FA (and by extension DI) is heritable is weak. We report the use of artificial selection to demonstrate heritable variation in the fluctuating asymmetry of wing veins in an outbred population of Drosophila melanogaster. Our estimates for the heritability of FA range from 0% to 1% and result in estimates for the heritability of DI as large as 20%, comparable to values typical for life-history traits. These values indicate the existence of evolutionarily relevant genetic variation for DI and the effectiveness of selection for reduced FA suggests that natural selection has not fixed all the genetic variants that would improve developmental stability in these populations.
Pedigree-free quantitative genetic approach provides evidence for heritability of movement tactics in wild roe deer
<p>Assessing the evolutionary potential of animal populations in the wild is crucial to understanding how they may respond to selection mediated by rapid environmental change (e.g. habitat loss and fragmentation). A growing number of studies have investigated the adaptive role of behaviour, but assessments of its genetic basis in a natural setting remain scarce. We combined intensive biologging technology with genome-wide data and a pedigree-free quantitative genetic approach to quantify repeatability, heritability and evolvability for a suite of behaviours related to the risk avoidance-resource acquisition trade-off in a wild roe deer (Capreolus capreolus) population inhabiting a heterogeneous, human-dominated landscape. These traits, linked to the stress response, movement and space-use behaviour, were all moderately to highly repeatable. Furthermore, the repeatable among-individual component of variation in these traits was partly due to additive genetic variance, with heritability estimates ranging from 0.19±0.07 to 0.71±0.11 and evolvability ranging from 1.1 to 4.3%. Changes in the trait mean can therefore occur under hypothetical directional selection over just a few generations. To the best of our knowledge, this is the first empirical demonstration of additive genetic variation in space-use behaviour in a free-ranging population based on genomic relatedness data. We conclude that wild animal populations may have the potential to adjust their spatial behaviour to human-driven environmental modifications through micro-evolutionary change.</p>
Data from: Inference of genetic architecture from chromosome partitioning analyses is sensitive to genome variation, sample size, heritability and effect size distribution
Genomewide association studies have contributed immensely to our understanding of the genetic basis of complex traits. One major conclusion arising from these studies is that most traits are controlled by many loci of small effect, confirming the infinitesimal model of quantitative genetics. A popular approach to test for polygenic architecture involves so‐called "chromosome partitioning" where phenotypic variance explained by each chromosome is regressed on the size of the chromosome. First developed for humans, this has now been repeatedly used in other species, but there has been no evaluation of the suitability of this method in species that can differ in their genome characteristics such as number and size of chromosomes. Nor has the influence of sample size, heritability of the trait, effect size distribution of loci controlling the trait or the physical distribution of the causal loci in the genome been examined. Using simulated data, we show that these characteristics have major influence on the inferences of the genetic architecture of traits we can infer using chromosome partitioning analyses. In particular, small variation in chromosome size, small sample size, low heritability, a skewed effect size distribution and clustering of loci can lead to a loss of power and consequently altered inference from chromosome partitioning analyses. Future studies employing this approach need to consider and derive an appropriate null model for their study system, taking these parameters into consideration. Our simulation results can provide some guidelines on these matters, but further studies examining a broader parameter space are needed.
Data from: Heritabilities, social environment effects and genetic correlations of social behaviours in a cooperatively breeding vertebrate
Social animals interact frequently with conspecifics, and their behaviour is influenced by social context, environmental cues and the behaviours of interaction partners, allowing for adaptive, flexible adjustments to social encounters. This flexibility can be limited by part of the behavioural variation being genetically determined. Furthermore, behaviours can be genetically correlated, potentially constraining independent evolution. Understanding social behaviour thus requires carefully disentangling genetic, environmental, maternal and social sources of variations as well as the correlation structure between behaviours. Here, we assessed heritability, maternal, common environment and social effects of eight social behaviours in Neolamprologus pulcher, a cooperatively breeding cichlid. We bred wild-caught fish in a paternal half-sibling design and scored ability to defend a resource against conspecifics, to integrate into a group and the propensity to help defending the group territory ('helping behaviour'). We assessed genetic, social and phenotypic correlations within clusters of behaviours predicted to be functionally related, namely 'competition', 'aggression', 'aggression-sociability', 'integration' and 'integration-help'. Helping behaviour and two affiliative behaviours were heritable, whereas there was little evidence for a genetic basis in all other traits. Phenotypic social effects explained part of the variation in a sociable and a submissive behaviour, but there were no maternal or common environment effects. Genetic and phenotypic correlation within clusters were mostly positive. A group's social environment influenced covariances of social behaviours. Genetic correlations were similar in magnitude but usually exceeding the phenotypic ones, indicating that conclusions about the evolution of social behaviours in this species could be provisionally drawn from phenotypic data in cases where data for genetic analyses are unobtainable.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.