官方服务:
资源简介:
Deciphering myeloma risk loci by eQTL analysis
应用场景:
创建时间:
2014-12-09
相关数据集
Supplementary Tables for the manuscript, Quantitative trait loci underlying a speciation phenotype.
Table S1 | Summary of scaffolds associated with L. kohalensis x L. paranigra pulse rate QTL across studies. Column headers are defined as follows; scaffold :
DataCite Commons2023-05-18 更新740
Lung-specific GRN eQTLs
eQTLs from lung-specific gene regulatory network (GRN) generated by CoDeS3D.
DataCite Commons2022-11-03 更新50
Genetic influences on DNA methylation (mQTL) in pediatric Crohn's disease patients. Genetic influences on DNA methylation (mQTL) in pediatric Crohn's disease patients
Previously, we conducted an epigenome-wide study of DNA methylation (~850K sites) in peripheral blood at diagnosis and during follow-up from the RISK pediatric Crohn’s disease inception cohort and dat
NIAID Data Ecosystem40
Additional file 5 of Robust identification of regulatory variants (eQTLs) using a differential expression framework developed for RNA-sequencing
Additional file 5. Annotated results of eQTL analysis using the GTEx framework and additive model.
Figshare2024-08-13 更新70
Novel pedigree analysis implicates DNA repair and chromatin remodeling in multiple myeloma risk
The high-risk pedigree (HRP) design is an established strategy to discover rare, highly-penetrant, Mendelian-like causal variants. Its success, however, in complex traits has been modest, largely due
NIAID Data Ecosystem40



