Dataset: Input data and code to test hypotheses between genetic and environmental effects on phenotypes

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.963375.1Version 1 (2025-06-05)Dataset Type:model results

Principal Investigator: Katie Lotterhos (Northeastern University)

Co-Principal Investigator: Geoffrey C. Trussell (Northeastern University)

Scientist: Molly Albecker (Northeastern University)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)


Project: RCN: Evolution in Changing Seas (RCN ECS)


Abstract

The purpose of this study was to apply a quantitative measure to phenotypic data that were collected by other studies to test hypotheses about natural prevalence and patterns of Covariance between genotypic and environmental effects on phenotypes (CovGE).

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There were three major phases to this study which are pertinent for data storage and collection. 

1. The first phase was a quantitative review in which the literature was systematically surveyed, assessed for inclusion, and relevant data extracted. This process resulted in the dataset "Extraction_Initialize.csv", which contains metadata from all studies initially considered for data collection. In some cases, studies were later deemed inappropriate and excluded from subsequent phases, but their metadata remains in this file. Once data collection was completed for the 102 studies that met the inclusion criteria, all phenotypic data—used in the second phase—were compiled into a single .csv file, "Meta_data_checked.csv". 

2. The second phase involved data analysis, where the phenotypic data and metadata were imported into R, formatted, and processed using a for-loop to estimate CovGE and ΔG×E for each phenotype independently. This loop fully implements CovGE estimation following the methods outlined in Albecker et al. (2022) and also generates confidence intervals for CovGE and p-values for ΔG×E. This analysis was executed in lines 1–220 of the "CovGE_Meta_Analysis.R" script, with essential functions housed in the companion script "CovarianceDataFunctions.R". Results of this analysis were saved as, "Meta_output_Nov27_2024.csv" 

3. The third phase involved testing the questions/hypotheses outlined in the manuscript (e.g., Is CnGV or CoGV more prevalent in nature?). These analyses were conducted in the "CovGE_Meta_Analysis.R" script, following the conclusion of the primary analysis on Line 220. This phase also included all plotting and formatting code. Any modifications made to plots in PowerPoint were documented with notes. All code is fully annotated for clarity and reproducibility.

 

Files in this dataset:

1. Code file - "CovGE_Meta_Analysis.R" - R code including all analyses, data formatting, and plotting. See phase 2 and 3 
2. Code file - "CovarianceDataFunctions.R" - R companion code storing all essential functions for analyses. See phase 2 and 3.  Compiled dataset with the extracted phenotypic, genotypic, and environmental data for each study included in quantitative review. See Phase 1 in the description of Contents for additional details. 


Related Datasets

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Dataset: Metadata from meta-analysis on CovGE in phenotypic results
Relationship Description:

Dataset 877414 is the result of literature analysis and basis for the input file of dataset 963375


Albecker, M., Trussell, G. C., Lotterhos, K. (2025) Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2025-06-05 doi:10.26008/1912/bco-dmo.877414.2
IsRelatedTo

Dataset: Results of meta-analysis on CovGE in phenotypic results
Relationship Description:

Dataset 877425 is the output file of phase 2 of the project.


Albecker, M., Trussell, G. C., Lotterhos, K. (2025) Results from a meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results in published literature. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2025-06-05 doi:10.26008/1912/bco-dmo.877425.2

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