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18 results for “Causal relationship”
Online Appendix for PhD Thesis Titled "Dissecting Causal Relationships and Molecular Mechanisms in Disease using Genetic Risk Profiles"
<p>This repository contains 23 tables and two figures, which are too big to be included in the Appendix section of my thesis document.</p> <p>The second version includes additional summary statistics of metabolite-PGS associations which can be found at http://mrcieu.mrsoftware.org/metabolites_PRS_atlas/.</p>
Causal Relationships Between LC-omega-3-enriched Diet and Cognition
ClinicalTrials.gov study NCT01625195. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The causal relationship k
<p><strong>Published at: </strong></p> <p>MATEC Web of Conferences: ISSN: 2261-236X.<br> ( https://www.matec-conferences.org/ )<br> <a href="https://doi.org/10.1051/matecconf/202133609032">https://doi.org/10.1051/matecconf/202133609032 </a></p> <p>MATEC Web Conf.</p> <p><strong>Volume </strong>336, 2021<br> Article Number: 09032</p> <p>Number of page(s): 28</p> <p>2020 2<sup>nd</sup> International Conference on Computer Science Communication and Network Security (CSCNS2020)<br> <a href="https://doi.org/10.1051/matecconf/202133609032">https://doi.org/10.1051/matecconf/202133609032 </a></p> <p><strong>Published online: </strong>15 February 2021</p> <p>see also:</p> <p><strong>2020 2nd International Conference on Computer Science, Communication and Network Security (CSCNS2020</strong></p> <p>Sanya, China<br> <strong>December 22-23, 2020</strong><br> http://www.cscns.org/<br> Contact via email:<br> submit@cscns.org<br> or<br> cscns2020@sina.com</p> <p>http://www.cscns.org/keynote.html</p>
Data from: The causal relationship between sexual selection and sexual size dimorphism in marine gastropods
Sexual size dimorphism is widespread among dioecious species but its underlying driving forces are often complex. A review of sexual size dimorphism in marine gastropods revealed two common patterns: firstly, sexual size dimorphism, with females being larger than males, and secondly females being larger than males in mating pairs; both of which suggest sexual selection as being causally related with sexual size dimorphism. To test this hypothesis, we initially investigated mechanisms driving sexual selection on size in three congeneric marine gastropods with different degrees of sexual size dimorphism, and, secondly, the correlation between male/female sexual selection and sexual size dimorphism across several marine gastropod species. Male mate choice via mucus trail following (as evidence of sexual selection) was found during the mating process in all three congeneric species, despite the fact that not all species showed sexual size dimorphism. There was also a significant and strong negative correlation between female sexual selection and sexual size dimorphism across 16 cases from seven marine gastropod species. These results suggest that sexual selection does not drive sexual size dimorphism. There was, however, evidence of males utilizing a similar mechanism to choose mates (i.e. selecting a female slightly larger than own size) which may be widespread among gastropods, and in tandem with present variability in sexual size dimorphism among species, provide a plausible explanation of the observed mating patterns in marine gastropods.
Formulation of the theoretical design for 30 reviewed articles investigating a causal relationship between exposure to antibiotics and the occurrence of asthma
<p>This document includes extracted information from 30 reviewed articles that investigated a causal relationship between exposure to antibiotics and the occurrence of asthma. For all 30 articles we formulated a theoretical design, that is also included in this document. This is part of a PhD-project that is investigating whether different approaches to study design (with specific interest in the formulation and reporting of a theoretical design) have an influence on study results. After registration of this document no changes were made, and the authors of the articles were contacted with questions concerning theoretical design. This is done with the aim of afterwards comparing our own formulated theoretical design, with what is reported to us afterwards by the authors. </p>
Data from: Methods for estimating causal relationships of adverse events with dietary supplements
Objective: Dietary supplement use has increased over past decades, resulting in reports of potentially serious adverse events. The aim of this study was to develop optimised methods to evaluate the causal relationships between adverse events and dietary supplements, and to test these methods using case reports. Design: Causal relationship assessment using prospectively collected data. Setting and participants: 4 dietary supplement experts, 4 pharmacists and 11 registered dietitians (5 men and 14 women) examined 200 case reports of suspected adverse events using the modified Naranjo scale and the modified Food and Drug Administration (FDA) algorithm. Primary outcome measures: The distribution of evaluation results was analysed and inter-rater reliability was evaluated for the two modified methods employed using intraclass correlation coefficients (ICC) and Fleiss' κ. Results: Using these two methods, most of the 200 case reports were categorised as 'lack of information' or 'possible' adverse events. Inter-rater reliability among entire assessors ratings for the two modified methods, based on ICC and Fleiss' κ, were classified as more than substantial (modified Naranjo scale: ICC (95% CI) 0.873 (0.850 to 0.895); Fleiss' κ (95% CI) 0.615 (0.615 to 0.615). Modified FDA algorithm: Fleiss' κ (95% CI) 0.622 (0.622 to 0.622). Conclusions: These methods may help to assess the causal relationships between adverse events and dietary supplements. By conducting additional studies of these methods in different populations, researchers can expand the possibilities for the application of our methods.
Data from: Methods for estimating causal relationships of adverse events with dietary supplements
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Data from: The causal relationship between sexual selection and sexual size dimorphism in marine gastropods
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LATEst: Efficient computation of hazard ratios and identification of causal relationships using 'natural experiments' in medical informatics databases
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raw data - Causal relationship of immune cells and primary open-angle glaucoma: A Mendelian randomization study
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Data from: An atlas of polygenic risk score associations to highlight putative causal relationships across the human phenome
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Causal relationship between air pollution and noise pollution exposure and brain cortical structure: a two-sample Mendelian randomization study
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A potential causal relationship between vitamin D metabolism status and height: A Mendelian randomization study
<p><strong>Figure S1</strong>: Results of MR-Radial analyses with instruments of IV-M and IV-S. The effect of instrument which only genome-wide associated with 25(OH)D (IV-S) on height was estimated by MR-Radial analysis in a) mixed population, b) males and c) females. Each point represents the SNP effects of 25(OH)D on height. The blue lines represent inverse-variance-weighted (IVW) estimates of the association between a 1-SD increase in 25(OH)D and height, removing the outliers; The effect of variants which genome-wide associated with 25(OH)D and other phenotypes (IV-M) in d) mixed population, e) males and f) females were also analyzed; <strong>Table S1</strong>: (DOC) Detailed information on the GWASs included in the current study; <strong>Table S2</strong>, (XLSX) Detailed information on all variants associated with the serum levels of 25(OH)D; <strong>Table S3</strong>, (XLSX) Detailed information on all variants associated with vitamin D levels; <strong>Table S4</strong>, (XLSX) Detailed information on all variants associated with the levels of VDBP; <strong>Table S5</strong>, (DOC) Causal directionality test of primary MR analyses; <strong>Table S6</strong>, (DOC) Heterogeneity/pleiotropy test results of primary MR analyses; <strong>Table S7</strong>, (DOC) Genetic effect of 25(OH)D levels on height estimated by the MR-Radial method; <strong>Table S8</strong>, (DOC) Multiple MR analyses for genetic variants of 25(OH)D and height; <strong>Table S9</strong>, (DOC) Genetic effect of 25(OH)D levels on height estimation by subinstrument variants MR analysis.</p>
Causal Relationship Between Dry Eye and Accommodative Spasm
ClinicalTrials.gov study NCT05120401. IPD Sharing: NO. Countries: 1. Publications: 0.
A Causal Relationship Study Between Anxiety, Depression, and Rheumatoid Arthritis
ClinicalTrials.gov study NCT05892562. IPD Sharing: NO. Countries: 1. Publications: 0.
Causal Relationship Between Plasma VEGF Family Proteins and Placenta Previa: A Two-Sample Mendelian Randomization Study
ClinicalTrials.gov study NCT06620068. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Towards Better NLI for Spanish: A Multi-Genre Dataset and causal relationships
<p>This project includes the code, dataset and models for the paper: Towards Better NLI for Spanish: A Multi-Genre Dataset and causal<br>relationships.</p> <p>- The params used to extract de data and train the models can be found in the folder params</p> <p>- The dataset can be found in the folder data/base_dataset</p> <p>- The trained models and their metrics can be found in the folder model</p> <p>- The code can be found in the auto_nli folder</p> <p>For execution details read the README file.</p>
Supplementary tables of Causal relationship between gut microbiota, blood metabolites, immune cell traits, inflammatory proteins, and cataract: a two-sample, bidirectional mendelian randomization analysis
<p><span>Table S1: The information of GWAS data for gut microbiota; Table S2: The information of GWAS data for blood metabolites and metabolite ratios; Table S3: The information of GWAS data for immune cell traits; Table S4: The information of GWAS data for circulating inflammatory proteins; Table S5: The results of casual effects and sensitive analysis of identified gut microbiota on cataract; Table S6: The results of casual effects and sensitive analysis of identified blood metabolites and metabolite ratios on cataract; Table S7: The results of casual effects and sensitive analysis of identified immune cell traits on cataract; Table S8: The results of casual effects and sensitive analysis of identified circulating inflammatory proteins on cataract; Table S9: The significant casual effects of two-sample MR analysis in mediation analysis; Table S10: The consistent effect sizes of exposure-outcome, exposure-mediator, and mediator-outcome; Table S11: The results of preliminary MVMR in mediation analysis; Table S12: The results of subsequent MVMR in mediation analysis; Table S13: The results of significant casual effects of cataract on gut microbiota, blood metabolites and metabolite ratios, and circulating inflammatory proteins; Table S14: The genes identified from the causal SNPs using MAGMA; Table S15: The results of functional enrichment analysis of the genes identified from the causal SNPs.</span></p>
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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.