GEO DataSets

(Submitter supplied) Cisplatin, a platinating agent commonly used in treating several cancers is associated with nephrotoxicity, neurotoxicity and ototoxicity that have hindered its utility. To gain a better understanding of the genetic variants associated with cisplatin induced toxicity, we present a step-wise approach integrating genotypes, gene expression and sensitivity of HapMap cell lines to cisplatin. Cell lines derived from 30 trios of European descent (CEU) and 30 trios of African descent (YRI) were utilized to develop a preclinical model to identify genetic variants and gene expression that contribute to cisplatin induced cytotoxicity in two different populations. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

176 Samples

Download data: CEL, TXT

(Submitter supplied) Baseline microRNA (miRNA) expression was evaluated in 107 HapMap lymphoblastoid cell lines (LCLs; 53 CEU and 54 YRI) using Exiqon miRCURY LNA arrays v10.0 (Exiqon array).

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL14999

107 Samples

Download data: TXT

(Submitter supplied) Large inter-individual variance has been observed in sensitivity to drugs. To comprehensively decipher the genetic contribution to these variations in drug susceptibility, we present a genome-wide model utilizing human lymphoblastoid cell lines from the International HapMap consortium, of which extensive genotypic information is available, to identify genetic variants that contribute to chemotherapeutic agent-induced cytotoxicity. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

176 Samples

Download data: CEL, TXT

(Submitter supplied) Elucidating cytosine modification difference between human populations can enhance our understanding of ethnic specificity in complex traits such as disease predisposition and drug response. In this study, cytosine modification levels in 133 HapMap lymphoblastoid cell lines (LCLs) derived from individuals of European or African ancestry were profiled using the Illumina HumanMethylation450 BeadChip. Approximately 13% of the analyzed CpG sites showed differential modification between the two populations at false discovery rate (FDR) of 1%. CpG sites with greater modification levels in European descents were enriched in the proximal regulatory regions, while those greater in African descents were biased toward gene bodies. More than half of the detected population-specific cytosine modifications could be explained by genetic variation. A substantial proportion of local modification quantitative trait loci (mQTL) exhibited population-specific effects, suggesting that genetic epistasis and/or genotype × environment interaction could be common. Distinct inter-individual correlations were observed between gene expression and cytosine modifications in both proximal promoters and gene bodies, demonstrating a regulatory role of inter-individual variation in cytosine modification. Furthermore, a number of SNPs (single nucleotide polymorphisms) previously identified for complex traits with known racial disparities could be annotated as mQTLs for population-specific CpGs. Our findings revealed abundant population-specific cytosine modifications and the underlying genetic basis, as well as the relatively independent contribution of genetic and epigenetic variations to population differences in gene expression.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

133 Samples

Download data: TXT

(Submitter supplied) In addition to the differences between populations in transcriptional and translational regulation of genes, alternative pre-mRNA splicing (AS) is also likely to play an important role in regulating gene expression and generating variation in mRNA and protein isoforms. Recently, the genetic contribution to transcript isoform variation has been reported in individuals of recent European descent. We report here results of an investigation of the differences in AS patterns between human populations. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

176 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing

Platform:

GPL20301

54 Samples

Download data: BED

(Submitter supplied) RNA-seq was done on eight different lymphoblastoid cell lines for vehicle control, 3-MC agonist treatment and GNF-351 antagonist treatment for AHR to look at AHR regulated genes with different genetic backgrounds. We identified 69 genes that were highly differentially expressed after 3-MC or GNF-351 antagonist treatment with variation in the degree fo differential expression between the eight cell lines.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

48 Samples

Download data: TXT

(Submitter supplied) ChIP-seq was done on one lymphoblastoid cell lines for vehicle control, or 3-MC agonist treatment to identify AHR binding regions throughout the genome. We identified 17,688 common binding peaks between all ChIP treatments

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL20301

6 Samples

Download data: BED

(Submitter supplied) We report the application of FAIRE seq in Human Mammary Epithelial Cells for identifying the breast cancer risk functional SNPs in enhancer region.

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL11154

3 Samples

Download data: BED, BEDGRAPH

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; Expression profiling by array

Platforms:

GPL4133 GPL6801

128 Samples

Download data: CEL, CHP, TXT

(Submitter supplied) Elucidating the genetic basis underlying the variation in hepatic gene expression is of importance to understand disease etiology and drug metabolism variances. To date, no genome-wide eQTL analysis has been conducted in the Han Chinese, the largest ethnic group in the world. We performed a genome-wide eQTL mapping in a set of Han Chinese liver tissue (n=64).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

64 Samples

Download data: TXT

(Submitter supplied) Elucidating the genetic basis underlying the variation in hepatic gene expression is of importance to understand disease etiology and drug metabolism variances. To date, no genome-wide eQTL analysis has been conducted in the Han Chinese, the largest ethnic group in the world. We performed a genome-wide eQTL mapping in a set of Han Chinese liver tissue (n=64).

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL6801

64 Samples

Download data: CEL, CHP

(Submitter supplied) Gene expression is a complex quantitative trait partially regulated by genetic variation in DNA sequence. Population differences in gene expression could contribute to some of the observed differences in susceptibility to common diseases and responses to drug treatments. We characterize gene expression in the full set of HapMap lymphoblastoid cell lines derived from individuals of European and African ancestry for 9,156 transcript clusters (gene-level) evaluated using the Affymetrix GeneChip® Human Exon 1.0 ST Array. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

176 Samples

Download data: CEL, TXT

(Submitter supplied) Most loci identified in genome wide association studies (GWAS) of complex traits reside in non-coding DNA and may contribute to phenotype via changes in gene regulation. The discovery of expression quantitative trait loci (?eQTLs?) can thus be used to more precisely identify modest but real disease associations and provide insights into their underlying molecular mechanisms. This is particularly true for analyses of expression in non-transformed cells from tissues relevant to the complex traits of interest. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6104

60 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; SNP genotyping by SNP array; Genome variation profiling by SNP array

Platforms:

GPL4133 GPL8887 GPL6104

748 Samples

Download data: TXT

(Submitter supplied) Most loci identified in genome wide association studies (GWAS) of complex traits reside in non-coding DNA and may contribute to phenotype via changes in gene regulation. The discovery of expression quantitative trait loci (‘eQTLs’) can thus be used to more precisely identify modest but real disease associations and provide insights into their underlying molecular mechanisms. This is particularly true for analyses of expression in non-transformed cells from tissues relevant to the complex traits of interest. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL8887

224 Samples

Download data: TXT

(Submitter supplied) Most loci identified in genome wide association studies (GWAS) of complex traits reside in non-coding DNA and may contribute to phenotype via changes in gene regulation. The discovery of expression quantitative trait loci (‘eQTLs’) can thus be used to more precisely identify modest but real disease associations and provide insights into their underlying molecular mechanisms. This is particularly true for analyses of expression in non-transformed cells from tissues relevant to the complex traits of interest. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

464 Samples

Download data: TXT

(Submitter supplied) MiRNAs have differential expression between normal colon and cancer tissues, and could be targets for CRC therapies and be further developed as potential diagnostic and prognostic analytes. Keywords: classification

Organism:

Homo sapiens; Mus musculus; Rattus norvegicus

Type:

Non-coding RNA profiling by array

Platform:

GPL4411

66 Samples

Download data: TXT

(Submitter supplied) GWAS have discovered thousands of genomic loci that are associated with disease risk and quantitative traits, but most of the variants responsible for risk remain uncharacterized. The vast majority of GWAS-identified loci contain non-coding SNPs and defining molecular mechanism of risk is challenging. Many non-coding causal SNPs are hypothesized to alter Transcription Factor (TF) binding sites as the mechanism by which they affect organismal phenotypes. more...

Organism:

Homo sapiens

Type:

Other

Platform:

GPL18573

5 Samples

Download data: BED, BEDGRAPH, BIGWIG

(Submitter supplied) To identify target genes of cancer-related microRNAs in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma, esophageal squamous cell carcinoma, and head and neck squamous cell carcinoma) were subjected to Agilent whole genome microarrays.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL10332 GPL13607

35 Samples

Download data: TXT