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Links from GEO DataSets

Items: 14

1.

Genome-Wide Association Study of Hospitalized COVID-19 Patients in the United Arab Emirates

(Submitter supplied) The heterogeneity in symptomatology and phenotypic profile attributable to COVID-19 is widely unknown. For the first time, our study provides the unique advantage of obtaining samples from the Middle Eastern population, an underrepresented region in genetic studies, and explore new genotypes in this population that will yield to novel genetic association. Specifically, we studied 646 patients in the United Arab Emirates. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array; SNP genotyping by SNP array
Platform:
GPL23391
646 Samples
Download data: CSV, IDAT, TXT
Series
Accession:
GSE184150
ID:
200184150
2.

Microvascular and Macrovascuar Complications of Type 2 Diabetes Mellitus: Exome Wide Association Analyses

(Submitter supplied) With an escalating global burden, T2DM is associated to long-term complications that have contributed to the burden of morbidity and mortality worldwide. The objective of this manuscript is to conduct an Exome-Wide Association Study (EWAS) on T2DM Emirati individuals to improve our understanding on diabetes-related complications for a more enhanced disease management and improve therapeutic targets.
Organism:
Homo sapiens
Type:
SNP genotyping by SNP array
Platform:
GPL26511
310 Samples
Download data: IDAT, TXT
Series
Accession:
GSE226084
ID:
200226084
3.

Multi-omics co-localization with genome-wide association studies reveals a context-specific genetic mechanism at a childhood onset asthma risk locus

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Methylation profiling by array
Platforms:
GPL16791 GPL21145
396 Samples
Download data: IDAT
Series
Accession:
GSE172368
ID:
200172368
4.

Multi-omics co-localization with genome-wide association studies reveals a context-specific genetic mechanism at a childhood onset asthma risk locus [RNA-Seq]

(Submitter supplied) We generated genome-wide gene expression data (RNAseq) from cultured airway epithelial cells exposed to rhinovirus (RV) and a vehicle control (48 hour treatment). This data was generated in combination with genome-wide DNA methylation data (RNAseq) and genotypes from the same individuals.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
190 Samples
Download data: TXT
5.

Multi-omics co-localization with genome-wide association studies reveals a context-specific genetic mechanism at a childhood onset asthma risk locus [Methylation array]

(Submitter supplied) We generated genome-wide DNA methylation data from cultured airway epithelial cells exposed to rhinovirus (RV) and a vehicle control (48 hour treatment). This data was generated in combination with genome-wide expression data (RNAseq) and genotypes from the same individuals.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL21145
206 Samples
Download data: IDAT, TXT
Series
Accession:
GSE172365
ID:
200172365
6.

Dysregulated transcriptional responses to SARS-CoV-2 in the periphery support novel diagnostic approaches

(Submitter supplied) In order to elucidate novel aspects of the host response to SARS-CoV-2 we performed RNA sequencing on 77 peripheral blood samples across 46 subjects with COVID-19 and compared them to subjects with seasonal coronavirus, influenza, bacterial pneumonia, and healthy controls. The transcriptome in peripheral blood reveals unique aspects of the immune response in COVID-19 and provides for novel biomarker-based approaches to diagnosis.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
198 Samples
Download data: CSV, TXT
7.

Transcriptome of non-involved lung parenchyma from ever and never smoker lung adenocarcinoma patients from Milan, Italy.

(Submitter supplied) Alteration of gene expression profile of target organs may signal exposure of that organ to toxic chemicals. We analyzed the transcriptome of the non-involved lung tissue, excised from 176 surgically treated lung adenocarcinoma patients, to identify genes whose expression levels were altered by individual habit to cigarette smoking. Of 17.097 genes analyzed, 357 resulted to be differentially expressed between never smokers and ever smokers (FDR <0.05). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
176 Samples
Download data: TXT
Series
Accession:
GSE123352
ID:
200123352
8.

Transcriptome of non-involved lung parenchyma from smoker lung adenocarcinoma patients from Milan, Italy.

(Submitter supplied) Scientific evidence indicates that genetic factors may contribute to differences in lung cancer risk for individuals with similar levels of tobacco exposure, which is the main environmental risk factor of lung cancer. Moreover, lung cancer patients show large differences in clinical staging and survival; these differences seem to be attributable, at least partially, to the genetic background. The analysis of the molecular properties (e.g., germline variations and genome-wide expression levels) of non-involved tissue from lung cancer patients may contribute in the identification of genetic factors involved in the development and progression of this pathology. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
284 Samples
Download data: TXT
Series
Accession:
GSE71181
ID:
200071181
9.

Circulating miRNA Profiles in COVID-19 Patients and Meta-Analysis: Implications for Disease Progression and Prognosis

(Submitter supplied) We compared circulating miRNA profiles of hospitalized COVID-positive patients (n = 104, 27 with ARDS) and age and gender matched healthy controls (n = 18) to identify miRNA signatures associated with COVID and COVID-induced ARDS. Meta-analysis incorporating data from published studies and our data was performed to identify a set of differentially expressed miRNAs in 1) COVID-positive patients versus healthy controls as well as 2) severe (ARDS+) COVID vs moderate COVID. more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL21697
122 Samples
Download data: XLSX
Series
Accession:
GSE240888
ID:
200240888
10.

Identification of LZTFL1 as a candidate effector gene at a COVID-19 risk locus

(Submitter supplied) To identify a causative variant and effector gene responsible for a 2-fold increased risk of severe COVID-19, a multi-omics platform was deployed. A combination of ATAC-seq, ChIP-seq, Micro Capture-C and NuTi Capture-C were used to characterize a range of cell types, including epithelial, fibroblast, endothelial, immune and erythroid cells.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Other
Platform:
GPL18573
34 Samples
Download data: BW
Series
Accession:
GSE175791
ID:
200175791
11.

Identification of LZTFL1 as a candidate effector gene at a COVID-19 risk locus (MCC)

(Submitter supplied) To identify regulatory interactions in erythroid, fibroblast and endothelial cells Micro Caputre-C was carried outfrom the promoters of active genes as well as the rs17713054 containing enhancer.
Organism:
Homo sapiens
Type:
Other
Platform:
GPL18573
14 Samples
Download data: BW, TXT
Series
Accession:
GSE175790
ID:
200175790
12.

Identification of LZTFL1 as a candidate effector gene at a COVID-19 risk locus (ATAC-seq)

(Submitter supplied) To identify regions of open chromatin ATAC-seq was carried out in Blood outgrowth endothelial cells (BOECs) and NCI-H441 Epithelial cells
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18573
8 Samples
Download data: BW
Series
Accession:
GSE175789
ID:
200175789
13.

Identification of LZTFL1 as a candidate effector gene at a COVID-19 risk locus (ChIP-seq)

(Submitter supplied) To identify regulation by the CEBPB transcription factor in epithelial, fibroblast and endothelial cells ChIP-seq was carried out for both the transcription factor and marks of active transcription (H3K27ac).
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18573
12 Samples
Download data: BW
Series
Accession:
GSE175788
ID:
200175788
14.

Identification of required host factors for SARS-CoV-2 infection in human cells

(Submitter supplied) We performed a genome-wide CRISPR knockout screen to identify human genes required for SARS-CoV-2 infection.
Organism:
Homo sapiens
Type:
Other
Platform:
GPL21697
4 Samples
Download data: TXT
Series
Accession:
GSE158298
ID:
200158298
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