Tag Archives: GWAS

Previous studies have prioritized trait-relevant cell types by looking for an enrichment of genome-wide association study (GWAS) signal within functional regions. However, these studies are limited in cell resolution by the lack of functional annotations from difficult-to-characterize or rare cell ...

Genome-wide association studies have identified hundreds of risk loci for autoimmune disease, yet only a minority (~25%) share genetic effects with changes to gene expression (eQTLs) in immune cells. RNA-Seq based quantification at whole-gene resolution, where abundance is estimated by ...

May 15th – 19th, 2017 at the Icahn School of Medicine at Mount Sinai Learn how to apply computational tools to genomic sequencing data, and gain practical knowledge of genome browser and data analysis tools for RNA sequencing using real-life ...

Genetic association mapping produces statistical links between phenotypes and genomic regions, but identifying the causal variants themselves remains difficult. Complete knowledge of all genetic variants, as provided by whole genome sequence (WGS), will help, but is currently financially prohibitive for ...

Studies attempting to functionally interpret complex-disease susceptibility loci by GWAS and eQTL integration have predominantly employed microarrays to quantify gene-expression. RNA-Seq has the potential to discover a more comprehensive set of eQTLs and illuminate the underlying molecular consequence. Researchers from ...

July 11, 2016 The 2016 GTEx Project Community Meeting will be held at Stanford University. The meeting will highlight current data sets and types available, various tools being developed for these data types, and results from applying them to the ...

Long non-coding RNAs (lncRNAs) are emerging as important regulatory molecules in developmental, physiological, and pathological processes. However, the precise mechanism and functions of most of lncRNAs remain largely unknown. Recent advances in high-throughput sequencing of immunoprecipitated RNAs after cross-linking (CLIP-Seq) ...

A practical webinar highlighting genetic data integration approaches featuring Dr. Tuuli Lappalainen. Explore the power of genome and transcriptome data integration, expand your understanding of genetic variants, and map future research applications. In this video you will learn how: Combining ...