Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA186949 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR622457.fastq.gz | Fastqsanger.gz | |||
| SRR622457_1.fastq.gz | Fastqsanger.gz | |||
| SRR622457_2.fastq.gz | Fastqsanger.gz | |||
| SRR622458.fastq.gz | Fastqsanger.gz | |||
| SRR622458_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 9 |
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Project description:CompleteGenomics sequencing of (CEU) Utah residents with ancestry from Northern and Western Europe - CEPH - HapMap population
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Project description:Exome sequencing of (CEU) Utah residents with ancestry from Northern and Western Europe - CEPH - HapMap population
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Project description:Whole genome sequencing of (CEU) Utah residents with ancestry from Northern and Western Europe - CEPH - HapMap population
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Project description:Ethnic differences in human DNA methylation have been shown for a number of CpG sites, but the genome-wide patterns and extent of these differences are unknown. In addition, whether the genetic control of polymorphic DNA methylation is population-specific has not been investigated. Here we measure DNA methylation near the transcription start sites of over 14,000 genes in 180 cell lines derived from one African and one European population. We find population-specific patterns of DNA methylation at over a third of all genes. Furthermore, although the methylation at over a thousand CpG sites is heritable, these heritabilities are also distinctly different between populations, suggesting extensive divergence in the genetic control of DNA methylation. In support of this, genetic mapping of DNA methylation reveals that there is also little overlap in genetic associations between populations. This population-specificity is supported by the patterns of DNA methylation in several hundred brain samples, suggesting it holds in vivo and across tissues. These results suggest that DNA methylation is highly divergent between populations, and that this divergence may be due in large part to complex epistasis or gene x environment interactions. Genomic DNA from 180 lymphoblastoid cell lines were bisulphite converted and hybridized, along with 8 additional technical replicates, to the Illumina Infinium HumanMethylation27 Beadchip v1.2 for genome-wide DNA methylation profiling. The cell lines were derived from two HapMap populations: 'CEPH (Utah residents with ancestry from northern and western Europe)' (CEU) and 'Yoruba in Ibadan, Nigeria' (YRI).
2012-01-30 | E-GEOD-27146 | biostudies-arrayexpress
Project description:The exploration of quantitative variation in human populations has become one of the major priorities for medical genetics. The successful identification of variants that contribute to complex traits is highly dependent on reliable assays and genetic maps. We have performed a genome-wide quantitative trait analysis of 630 genes in 60 unrelated Utah residents with ancestry from Northern and Western Europe (CEPH) using the publicly available phase I data of the International HapMap project. The genes are located in regions of the human genome with elevated functional annotation and disease interest including the ENCODE regions spanning 1% of the genome, chromosome 21 and chromosome 20q12-13.2. We apply three different methods of multiple test correction, including Bonferroni, False Discovery Rate and permutations. For the 374 expressed genes, we find many regions with statistically significant association of SNPs with expression variation in lymphoblastoid cell lines after correcting for multiple tests. Based on our analyses, the signal proximal (cis-) to the genes of interest is more abundant and more stable than distal and trans across statistical methodologies. Our results suggest that regulatory polymorphism is widespread in the human genome and show that the 5 kb (phase I) HapMap has sufficient density to enable linkage disequilibrium mapping in humans. Such studies will significantly enhance our ability to annotate the non-coding part of the genome and interpret functional variation. In addition, we demonstrate that the HapMap cell lines themselves may serve as a useful resource for quantitative measurements at the cellular level. Keywords: Gene expression, Lymphoblastoid,
2005-12-01 | GSE3612 | GEO
Project description:This is the validation data for candidate de novo CNV calls made in the CEU Hapmap by Itsara et al., Genome Research 2010. In this study, de novo CNV calls were initially made with Illumina 1M SNP arrays. Validation of CNV calls was performed with Nimblegen custom array CGH using the extended CEPH pedigrees. A truly de novo CNV would be unobserved in the first generation (CEU trio parents), validated in the second generation (CEU trio children), and assuming no selective effects, transmitted to approximately half of the individuals in the third generation. We attempted validation of 4 de novo CNVs in 3 extended CEPH pedigrees: 1358, 1408, and 1459.
2010-09-01 | GSE23575 | GEO
Project description:This is the validation data for candidate de novo CNV calls made in the CEU Hapmap by Itsara et al., Genome Research 2010. In this study, de novo CNV calls were initially made with Illumina 1M SNP arrays. Validation of CNV calls was performed with Nimblegen custom array CGH using the extended CEPH pedigrees. A truly de novo CNV would be unobserved in the first generation (CEU trio parents), validated in the second generation (CEU trio children), and assuming no selective effects, transmitted to approximately half of the individuals in the third generation. We attempted validation of 4 de novo CNVs in 3 extended CEPH pedigrees: 1358, 1408, and 1459. 12 samples were hybridized in each of the three pedigrees (36 samples total) against a previously well-characterized reference (GM15510; see Tuzun et al., Nat Genet 2005).
2010-09-01 | E-GEOD-23575 | biostudies-arrayexpress
Project description:Variation in gene expression is a fundamental aspect of human phenotypic variation. Several studies have analyzed gene expression levels in populations of different continental ancestry, and concluded that there is variation across populations at a fraction of expressed genes. Here we analyze gene expression levels in African American cell lines, which differ from previously analyzed cell lines in that samples from this population have variable proportions of continental ancestry. We show that for most genes examined, gene expression varies with genetic ancestry. Experiment Overall Design: Lymphoblastoid cell lines (LCL) for 60 HapMap CEU, 60 HapMap YRI, and 82 AFA from the Human Variation Panel were obtained from Coriell Cell Repositories. LCLs were grown in culture, total RNA was extracted and hybridized to Affymetrix HG-FOCUS arrays.
2009-01-14 | E-GEOD-10824 | biostudies-arrayexpress
Project description: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. Cytotoxicity was determined as cell growth inhibition at increasing concentrations of cisplatin for 48 h. Gene expression on 176 HapMap cell lines (87 CEU and 89 YRI) was determined using the Affymetrix GeneChip® Human Exon 1.0 ST Array. We identified 6, 2 and 9 representative SNPs that contribute to cisplatin-induced cytotoxicity through their effects on 8, 2 and 16 gene expressions in the combined, CEPH and Yoruban populations, respectively. These genetic variants contribute to 27, 29 and 45% of the overall variation in cell sensitivity to cisplatin in the combined, CEPH and Yoruban populations, respectively. Our whole genome approach can be used to elucidate expression quantitative trait loci contributing to a wide range of cellular phenotypes. Keywords: exon array
2007-06-06 | GSE7761 | GEO