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GenomicsChromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants (ChIP-seq)
Chromatin-based functional genomic analyses and genomewide association studies (GWASs) together implicate enhancers as critical elements influencing gene expression and risk for common diseases. Here, we performed systematic chromatin and transcriptome pro- filing in human pancreatic islets. Integra...
ORGANISM(S): Homo sapiens 
2013-11-08 | E-GEOD-51311 | biostudies-arrayexpress
GenomicsGlobal epigenomic analysis of primary human pancreatic islets provides insights into type 2 diabetes susceptibility loci
Identifying cis-regulatory elements is important to understand how human pancreatic islets modulate gene expression in physiologic or pathophysiologic (e.g., diabetic) conditions. We conducted genome-wide analysis of DNase I hypersensitive sites, histone H3 lysine methylation marks (K4me1, K4me3, K7...
ORGANISM(S): Homo sapiens 
2010-11-02 | E-GEOD-23784 | biostudies-arrayexpress
TranscriptomicsChromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants (RNA-seq)
Chromatin-based functional genomic analyses and genomewide association studies (GWASs) together implicate enhancers as critical elements influencing gene expression and risk for common diseases. Here, we performed systematic chromatin and transcriptome profiling in human pancreatic islets. Integrate...
ORGANISM(S): Homo sapiens 
2013-11-08 | E-GEOD-51310 | biostudies-arrayexpress
GenomicsChIP-Seq of human embryonic stem cells of a differentiation time course with antibody against H3K4me3
H3K4me3 ChIP-Seq profiling of a directed differentiation time course converting human embryonic stem cells (hES) into immature pancreatic beta cell precursors. CyT49, a Viacyte proprietary male hESC line with normal karyotype was used.
ORGANISM(S): Homo sapiens 
2012-10-13 | E-MTAB-821 | biostudies-arrayexpress
GenomicsExome chip analysis file
This data set includes the following summary level data file used for the exome chip analysis: exome_chip.sv.assoc.txt: results from single variant association analysis in exome chip
EGAD00010001187 | EGA
Genomicsena-DATASET-GoT2D/T2D-GENES-09-07-2016-02:03:47:226-1135 - samples
The GoT2D study includes ~2800 samples, half T2D cases and half T2D controls, of Northern European ancestry sequenced over 3 three technologies: deep whole exome sequencing, low-pass (4x) whole genome sequencing, and OMNI 2.5M genotyping. Samples were ascertained to be phenotypically "extreme" (e.g....
EGAD00001002247 | EGA
GenomicsGoT2D: Genetics of Type 2 Diabetes, a study of the the genetic architecture of type 2 diabetes using low pass whole genome sequencing and high density SNP genotyping in 2,657 individuals.
The Genetics of Type 2 Diabetes Consortium (GoT2D) is a collaboration between the University of Michigan, the Broad Institute and the Wellcome Trust Centre for Human Genetics. The overall aim is to extend upon recent efforts, such as genome-wide association studies (GWAS) and large scale meta-analys...
EGAS00001001459 | EGA
GenomicsType 2 Diabetes GoT2D/T2D-GENES DAC
Data Access Committee EGAC00001000391
EGAC00001000391 | EGA
Genomicsena-DATASET-GoT2D/T2D-GENES-08-07-2016-21:22:44:693-1130 - samples
The T2D-GENES/GoT2D 13K exome sequencing study includes ~13,000 samples, half T2D cases and half T2D controls, from five ancestries (~5K Europeans, ~2K each of African-American, East-Asian, South-Asian, and Hispanic). Samples underwent deep exome sequencing, with SNVs and INDEls called according to ...
EGAD00001002246 | EGA
GenomicsImputation analysis file
This data set includes the following summary level data file used for the imputation data: imputation.sv.assoc.txt: results from single variant association analysis in imputed samples
EGAD00010001184 | EGA
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