Snoek L Basten, Joeri van der Velde K, Li Yang, Jansen Ritsert C, Swertz Morris A, Kammenga Jan E
Laboratory of Nematology; Wageningen University; The Netherlands.
Genomics Coordination Center; University of Groningen; University Medical Center Groningen; The Netherlands ; Groningen Bioinformatics Center; University of Groningen; The Netherlands ; Department of Genetics; University of Groningen; University Medical Center Groningen; The Netherlands.
Worm. 2014 Jan 1;3(1):e28357. doi: 10.4161/worm.28357. Epub 2014 Mar 6.
In Caenorhabditis elegans, the recent advances in high-throughput quantitative analyses of natural genetic and phenotypic variation have led to a wealth of data on genotype phenotype relations. This data has resulted in the discovery of genes with major allelic effects and insights in the effect of natural genetic variation on a whole range of complex traits as well as how this variation is distributed across the genome. Regardless of the advances presented in specific studies, the majority of the data generated in these studies had yet to be made easily accessible, allowing for meta-analysis. Not only data in figures or tables but meta-data should be accessible for further investigation and comparison between studies. A platform was created where all the data, phenotypic measurements, genotypes, and mappings can be stored, compared, and new linkages within and between published studies can be discovered. WormQTL focuses on quantitative genetics in Caenorhabditis and other nematode species, whereas WormQTL(HD) quantitatively links gene expression quantitative trait loci (eQTL) in C. elegans to gene-disease associations in humans.
在秀丽隐杆线虫中,高通量定量分析自然遗传和表型变异方面的最新进展产生了大量关于基因型与表型关系的数据。这些数据促成了具有主要等位基因效应的基因的发现,并深入了解了自然遗传变异对一系列复杂性状的影响,以及这种变异在基因组中的分布情况。尽管特定研究取得了进展,但这些研究中产生的大部分数据仍难以轻松获取以供荟萃分析。不仅图或表中的数据,元数据也应可获取,以便进行进一步研究和不同研究之间的比较。创建了一个平台,所有数据、表型测量、基因型和图谱都可以在该平台上存储、比较,并发现已发表研究内部和之间的新联系。WormQTL专注于秀丽隐杆线虫和其他线虫物种的数量遗传学,而WormQTL(HD)则将秀丽隐杆线虫中的基因表达数量性状位点(eQTL)与人类中的基因-疾病关联进行定量联系。