WormQTL2

WormQTL2 provides a searchable database and analysis platform for comparative and meta-analysis of published quantitative trait loci (QTL) and expression quantitative trait loci (eQTL) datasets in Caenorhabditis elegans to support systems genetics investigations of genetic influences on trait variation.

Key Features:

• Integration of Extensive Datasets: Consolidates six eQTL studies across 11 conditions and over 1,000 traits from 32 studies, combining genetic and phenotypic data relevant to polymorphic loci in Caenorhabditis elegans.
• Facilitation of Comparative Analyses: Enables comparison of experimental results across different studies to identify consistent eQTL patterns and extend existing datasets.
• Support for Meta-Analyses: Supports synthesis of multiple eQTL datasets for meta-analytical inference across studies.
• Locus Screening and Systems-Genetic Analysis: Provides capabilities for screening loci for specific eQTLs and conducting systems-genetic analyses linking gene expression and classical trait QTL profiles.

Scientific Applications:

• eQTL Detection and Analysis: Identification of expression quantitative trait loci, including cis-eQTLs, to investigate molecular components and gene regulation mechanisms underlying trait variation.
• Gene-by-Environment Interaction Studies: Analysis of how eQTL patterns vary across environmental conditions to study gene-by-environment interactions affecting trait expression.
• Correlation Analysis of QTL Profiles: Correlation of classical trait QTL profiles with gene expression data to elucidate genetic architecture influencing phenotypic traits.

Methodology:

Computational methods include screening loci for specific eQTLs, conducting systems-genetic analyses, and leveraging integrated eQTL and trait datasets from multiple studies.