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20 results for “developmental correlations”
Inter-Chemical Correlation results for the study: HHEARx2017-1945 (Maternal and Developmental Risks from Environmental and Social Stressors (MADRES))
Title: Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) <br>Species: Homo sapiens <br>Number of samples: 421 <br>Number of named analytes: 21 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=32 <br>
Published correlational effect sizes in social and developmental psychology
<p>The distribution of effect sizes may offer insights about the research done and reported in a scientific field. We have evaluated 12,412 manually collected correlation effect sizes (Sample 1) and 31,157 computer-extracted correlation effect sizes (Sample 2) published in journals focused on social or developmental psychology. Sample 1 consisted of 243 studies from 6 journals published in 2010 and 2019. Sample 2 consisted of 5,012 papers published in 10 journals between 2010–2019. The 25<sup>th</sup>, 50<sup>th</sup> and 75<sup>th</sup> effect size percentiles were 0.08, 0.17 and 0.33, and 0.17, 0.31, and 0.52 in Samples 1 and 2, respectively. Sample 2 percentiles were probably larger because Sample 2 only included effect sizes from the text but not from tables. In text, authors may have emphasized larger correlations. Large sample sizes were associated with smaller reported correlations. In Sample 1 about 70% of studies specified a directional hypothesis. In 2010, no papers had power calculations while in 2019, 14% of papers had power calculations. These data offer empirical insights into the distribution of reported correlations and may inform the interpretation of effect sizes. They also demonstrate the importance of computation of statistical power and highlight potential reporting bias.</p>
Published correlational effect sizes in social and developmental psychology
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Data from: Genetic correlations among developmental and contextual behavioral plasticity in Drosophila melanogaster
Correlations among traits, including behaviors, are important because traits that are genetically correlated may not evolve independently. Recently, behavioral correlations research has expanded to include correlations not only in mean-level behaviors, but also in behavioral plasticity, i.e., the degree to which individuals change their behavior in response to environmental stimuli. Positive correlations among behavioral plasticities would imply that individuals or genotypes that are behaviorally plastic in one way may also be plastic in other ways; negative correlations could imply tradeoffs. Here, we examine aversive odor conditioning (learning) at two time points, and plasticity in pupation site selection behavior across substrates, in a panel of Drosophila genotypes. These behaviors represent different types of behavioral plasticity: contextual plasticity describes behavioral responses to stimuli that are currently present, while developmental plasticity describes behavioral responses to remembered experiences with stimuli in the recent past. We find that learning scores and plasticity in pupation site selection behavior are positively genetically correlated, representing the first example of a genetic correlation between developmental and contextual plasticity. These findings imply that ecological and evolutionary theories focusing on variation in a single dimension of behavioral plasticity may be incomplete.
Data from: Developmental instability is genetically correlated with phenotypic plasticity, constraining heritability, and fitness
Although adaptive plasticity would seem always to be favored by selection, it occurs less often than expected. This lack of ubiquity suggests that there must be trade-offs, costs, or limitations associated with plasticity. Yet, few costs have been found. We explore one type of limitation, a correlation between plasticity and developmental instability, and use quantitative genetic theory to show why one should expect a genetic correlation. We test that hypothesis using the Landsberg erecta × Cape Verde Islands recombinant inbred lines (RILs) of Arabidopsis thaliana. RILs were grown at four different nitrogen (N) supply levels that span the range of N availabilities previously documented in North American field populations. We found a significant multivariate relationship between the cross-environment trait plasticity and the within-environment, within-RIL developmental instability across 13 traits. This genetic covariation between plasticity and developmental instability has two costs. First, theory predicts diminished fitness for highly plastic lines under stabilizing selection, because their developmental instability and variance around the optimum phenotype will be greater compared to nonplastic genotypes. Second, empirically the most plastic traits exhibited heritabilities reduced by 57% on average compared to nonplastic traits. This demonstration of potential costs in inclusive fitness and heritability provoke a rethinking of the evolutionary role of plasticity.
Data from: Genetic correlations among developmental and contextual behavioral plasticity in Drosophila melanogaster
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Data from: Life history as a constraint on plasticity: developmental timing is correlated with phenotypic variation in birds
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Data from: Developmental instability is genetically correlated with phenotypic plasticity, constraining heritability, and fitness
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Data from: Timing of perineuronal nets development in the zebra finch song control system correlates with developmental song learning
The appearance of perineuronal nets (PNN) represents one of the mechanisms that contribute to the closing of sensitive periods for neural plasticity. This relationship has mostly been studied in the ocular dominance model in rodents. Previous studies also indicated that PNN might control neural plasticity in the song control system (SCS) of songbirds. To further elucidate this relationship, we quantified PNN expression and their localization around parvalbumin interneurons at key time-points during ontogeny in both male and female zebra finches and correlated these data with the well-described development of song in this species. We also extended these analyses to the auditory system. The development of PNN during ontogeny correlated with song crystallization although the timing of PNN appearance in the four main telencephalic song control nuclei slightly varied between nuclei in agreement with the established role these nuclei play during song learning. Our data also indicate that very few PNN develop in the secondary auditory forebrain areas even in adult birds, which may allow constant adaptation to a changing acoustic environment by allowing synaptic reorganization during adulthood.
Data from: Epigenetic memory via concordant DNA methylation is inversely correlated to developmental potential of mammalian cells
In storing and transmitting epigenetic information, organisms must balance the need to maintain information about past conditions with the capacity to respond to information in their current and future environments. Some of this information is encoded by DNA methylation, which can be transmitted with variable fidelity from parent to daughter strand. High fidelity confers strong pattern matching between the strands of individual DNA molecules and thus pattern stability over rounds of DNA replication; lower fidelity confers reduced pattern matching, and thus greater flexibility. Here, we present a new conceptual framework, Ratio of Concordance Preference (RCP), that uses double-stranded methylation data to quantify the flexibility and stability of the system that gave rise to a given set of patterns. We find that differentiated mammalian cells operate with high DNA methylation stability, consistent with earlier reports. Stem cells in culture and in embryos, in contrast, operate with reduced, albeit significant, methylation stability. We conclude that preference for concordant DNA methylation is a consistent mode of information transfer, and thus provides epigenetic stability across cell divisions, even in stem cells and those undergoing developmental transitions. Broader application of our RCP framework will permit comparison of epigenetic-information systems across cells, developmental stages, and organisms whose methylation machineries differ substantially or are not yet well understood.
Data from: Timing of perineuronal nets development in the zebra finch song control system correlates with developmental song learning
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Data from: Epigenetic memory via concordant DNA methylation is inversely correlated to developmental potential of mammalian cells
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Alcohol induced increases in sperm Histone H3 lysine 4 trimethylation correlate with increased placental CTCF occupancy and altered developmental programming
GEO Series GSE203189. Mus musculus. 17 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Small RNA profiling in two Brassica napus cultivars identifies microRNAs with oil production and developmental correlated expressions and new small RNA classes
GEO Series GSE34727. Brassica napus. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Loss of Ikaros tumor suppressor function in a mouse model of BCR-ABL1-induced B-ALL correlates with a developmental block at a highly proliferative stage
GEO Series GSE39160. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Neurofunctional Correlates of the Behavioral Modifications Associated With Tachidino in Children With Developmental Dyslexia
ClinicalTrials.gov study NCT05373576. IPD Sharing: NO. Countries: 1. Publications: 0.
Human induced pluripotent stem cells reveal early developmental molecular correlates with a probable Leber congenital amaurosis type I
GEO Series GSE43946. Homo sapiens. 34 samples. Type: Expression profiling by array.
Developmental Correlates and Hormone Therapy Effects in Gender Dysphoria
ClinicalTrials.gov study NCT04309760. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Specific chromatin accessibility in subtypes of neocortical projection neurons over developmental time is correlated with cell class-specific gene expression
GEO Series GSE116144. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Gene expression of subtypes of neocortical projection neurons over developmental time is correlated with cell class-specific chromatin accessibility
GEO Series GSE116146. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
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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.