EGAS00001003774-sc-2024-11-15T11:56:41Z - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001015437 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Geographic variation of mutagenic exposures in kidney cancer genomes – patient metadata files (Mutographs)
| EGAD00001012223 | EGA
Project description:The complexity of tobacco smoke induced mutagenesis in head and neck cancer - patient metadata files (Mutographs)
| EGAD00001015387 | EGA
Project description:Geographic variation of mutagenic exposures in kidney cancer genomes – copy number variants (Mutographs)
| EGAD00001013727 | EGA
Project description:Geographic variation of mutagenic exposures in kidney cancer genomes – structural variation vcf files ( Mutographs )
| EGAD00001013726 | EGA
Project description:Geographic variation of mutagenic exposures in kidney cancer genomes – sequence data (Mutographs)
| EGAD00001012102 | EGA
Project description:Geographic variation of mutagenic exposures in kidney cancer genomes – filtered vcf files (Mutographs)
| EGAD00001012222 | EGA
Project description:Daghestan, with its exceptional combination of linguistic, geographic, and cultural diversity, presents an excellent natural laboratory for tracking the influence of demographic processes on patterns of genetic variation. This study was designed to investigate the co-evolution of genes and languages, comparing and contrasting patterns of linguistic, genetic and geographic variation among Daghestani populations.
2020-01-04 | GSE93106 | GEO
Project description:The landscapes of somatic mutation in normal cells inform on the processes of mutation and selection operative throughout life, permitting insight into embryogenesis, normal ageing and the earliest stages of cancer development. Here, by whole-genome sequencing and targeted panel sequencing of microdissections from 30 individuals, including 18 with gastric cancer, we elucidate the developmental trajectories of normal and malignant gastric epithelium.
| EGAD00001015351 | EGA
Project description:<p>International differences in the incidence of many cancer types indicate the existence of carcinogen exposures that have not been identified by conventional epidemiology yet potentially make a substantial contribution to cancer burden1. This pertains to clear cell renal cell carcinoma (ccRCC), for which obesity, hypertension, and tobacco smoking are risk factors but do not explain its geographical variation in incidence2. Some carcinogens generate somatic mutations and a complementary strategy for detecting past exposures is to sequence the genomes of cancers from populations with different incidence rates and infer underlying causes from differences in patterns of somatic mutations. Here, we sequenced 962 ccRCC from 11 countries of varying incidence. Somatic mutation profiles differed between countries. In Romania, Serbia and Thailand, mutational signatures likely caused by extracts of Aristolochia plants were present in most cases and rare elsewhere. In Japan, a mutational signature of unknown cause was found in >70% cases and <2% elsewhere. A further mutational signature of unknown cause was ubiquitous but exhibited higher mutation loads in countries with higher kidney cancer incidence rates (p-value <6 × 10−18). Known signatures of tobacco smoking correlated with tobacco consumption, but no signature was associated with obesity or hypertension suggesting non-mutagenic mechanisms of action underlying these risk factors. The results indicate the existence of multiple, geographically variable, mutagenic exposures potentially affecting 10s of millions of people and illustrate the opportunities for new insights into cancer causation through large-scale global cancer genomics.</p><p><br></p><p><strong>Linked cross omic data sets:</strong></p><p>Geographic variation of mutagenic exposures in kidney cancer genomes – patient metadata files (<strong>Mutographs</strong>) associated with this study are available in the <strong>European Genome-Phenome Archive</strong>: https://ega-archive.org/datasets/EGAD00001012223.</p>
2024-03-26 | MTBLS9394 | MetaboLights
Project description:To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them.
2011-03-08 | GSE27542 | GEO