Quantitative genetics provides the tools for linking polymorphic loci to trait variation. Linkage analysis of gene expression is an established and widely applied method, leading to the identification of expression quantitative trait loci (eQTLs). (e)QTL detection facilitates the identification and understanding of the underlying molecular components and pathways, yet (e)QTL data access and mining often is a bottleneck. Here, we present WormQTL2, a database and platform for comparative investigations and meta-analyses of published (e)QTL data sets in the model nematode worm C. elegans. WormQTL2 integrates six eQTL studies spanning 11 conditions as well as over 1000 traits from 32 studies and allows experimental results to be compared, reused and extended upon to guide further experiments and conduct systems-genetic analyses. For example, one can easily screen a locus for specific cis-eQTLs that could be linked to variation in other traits, detect gene-by-environment interactions by comparing eQTLs under different conditions, or find correlations between QTL profiles of classical traits and gene expression. WormQTL2 makes data on natural variation in C. elegans and the identified QTLs interactively accessible, allowing studies beyond the original publications. Database URL: www.bioinformatics.nl/WormQTL2/.

中文翻译：

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WormQTL2：秀丽隐杆线虫系统遗传学的交互式平台。


数量遗传学提供了将多态性基因座与性状变异联系起来的工具。基因表达连锁分析是一种成熟且广泛应用的方法，可以识别表达数量性状基因座（eQTL）。 (e)QTL 检测有助于识别和理解潜在的分子成分和途径，但 (e)QTL 数据访问和挖掘往往是一个瓶颈。在这里，我们提出了 WormQTL2，一个数据库和平台，用于对模型线虫线虫中已发表的 (e)QTL 数据集进行比较研究和荟萃分析。 WormQTL2 集成了涵盖 11 个条件的 6 个 eQTL 研究以及来自 32 个研究的 1000 多个性状，并允许比较、重复使用和扩展实验结果，以指导进一步的实验和进行系统遗传分析。例如，人们可以轻松地筛选可能与其他性状变异相关的特定顺式 eQTL 基因座，通过比较不同条件下的 eQTL 来检测基因与环境之间的相互作用，或者找到经典性状的 QTL 谱与基因表达之间的相关性。 WormQTL2 使线虫自然变异的数据和已识别的 QTL 可以交互访问，从而可以进行原始出版物之外的研究。数据库网址：www.bioinformatics.nl/WormQTL2/。