Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA241416 | ENA |
REPOSITORIES: ENA
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Project description:Motivation: The need of identifying genetic determinants that disclose the heritability of complex traits as well as pinpoint causative genetic effects in some complex diseases has propelled large-scale, systematic fashion bred epigenome-wide studies. With the very dynamic nature of epigenome and much reduced cost in microarray and sequencing experiments, more and more researchers are now studying epigenomic at multiple time points, i.e. multiple measurement and/or longitudinal study design. However, the popular site-by-site multiple testing as commonly used in genome-wide studies may impair the value of multiple measurements because it leads to underpowered analyses by ignoring the inherent dependent structure, which has called for new methods to address the statistical challenges. Results: We have proposed a penalized regression model incorporating with grid search method (PGS), for analyzing epigenome-wide multiple measurement data. The development of this analytical framework was motivated by a real-world micro RNA dataset. Comparisons between PGS and the site-by-site testing approach reveal that PGS provides smaller phenotype prediction errors and higher enrichment of phenotype-related biological pathway than the site-by-site testing approach. Our approach is also useful for epigenome-wide data of DNA methylation and histone modifications.
2017-12-21 | GSE55950 | GEO
Project description:Background: The outbreak of coronavirus disease 2019 (COVID-19) poses a considerable health threat to humanity, with potential implications for the ovarian microenvironment remaining uncertain. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Conclusions: By integrating untargeted metabolomic and lipidomic features, we identified biomarkers indicative of oocyte competency influenced by COVID-19.
2024-12-25 | GSE282892 | GEO
Project description:Epigenome-Wide Association Study in multiple system atrophy (MSA)
| PRJNA599119 | ENA
Project description:Here we designed a search-engine for single-cell epigenome profiles. We tested different application of search-engine using different data-sets including mESC scATAC-seq profile.
2022-12-27 | GSE192644 | GEO
Project description:Background: Maternal smoking during pregnancy is a major risk factor for adverse health outcomes. The main objective of the study was to assess the impact of in utero tobacco exposure on DNA methylation in children born at term with appropriate weight at birth. Methods: Twenty mother-newborn dyads, after uncomplicated pregnancies, in the absence of perinatal illness were included. All mothers were healthy with no cardiovascular risk factors, except for the associated risks among those mothers who smoked. Umbilical cord blood (for methylation arrays) and maternal peripheral venous blood (for cotine level measurement) were collected and an epigenome-wide association study was performed using a 450K epigenome-wide scan (Illumina Infinium HumanMethylation 450BeadChip) with adjustment to normalize the DNA methylation for data cell variability in whole blood. Results: The maternal plasmatic cotinine levels ranged from 10.70-115.40 ng/ml in the exposed group to 0-0.59 ng/ml in the non-exposed group. After adjusting for multiple comparisons in 427102 probes, statistically significant differences for 31 CpG sites, associated to 25 genes were observed. There was a greater than expected proportion of statistically-significant loci located in CpG islands (FisherM-bM-^@M-^Ys exact test, p=0.029) and of those CpG islands, 90.3% exhibit higher methylation levels in the exposed group. The most striking and significant CpG site, cg05727225, is located in the chromosome 11p15.4, within the adrenomedullin gene. Conclusions: In utero tobacco exposure, even in the absence of fetal growth restriction, may alter the epigenome, contributing to global DNA hypomethylation. Therefore, DNA status can be used as a biomarker of prenatal insults. Considering the possibility to reverse epigenetic modifications, a window of opportunity exists to change the programmed chronic disease. Twenty mother-newborn dyads, after uncomplicated pregnancies, in the absence of perinatal illness were included. All mothers were healthy with no cardiovascular risk factors, except for the associated risks among those mothers who smoked. Umbilical cord blood were collected and an epigenome-wide association study was performed using a 450K epigenome-wide scan (Illumina Infinium HumanMethylation 450BeadChip) with adjustment to normalize the DNA methylation for data cell variability in whole blood.
2015-02-16 | E-GEOD-64316 | biostudies-arrayexpress
Project description:This was a retrospective comparison study of SNP-based preimplantation genetic screening (SNP-PGS) and FISH-based preimplantation genetic diagnosis (FISH-PGD) for 575 couples in total with chromosome translocations, including 169 couples treated by SNP-PGS between October 2011 and August 2012, and 406 couples treated by FISH- PGD between January 2005 and October 2011. In total, 773 blastocysts obtained from 169 couples were biopsied and frozen, embryo transfer was carried out on the balanced embryos. The PGS results and pregnancy outcomes were compared with those of FISH-PGD for 406 translocation carriers with 3,968 embryos biopsied on day 3. Of the 773 biopsied blastocysts, reliable SNP-PGS results were obtained for 717 (92.76%). For Robertsonian translocation carriers, the rate of normal/balanced embryos, embryos with translocation-related abnormalities, and embryos with abnormalities unrelated to a translocation were 57.80%, 23.39% and 18.81%, respectively. In reciprocal translocation carriers, the rate of normal/balanced embryos, embryos with translocation-related abnormalities and embryos with abnormalities unrelated to translocation were 35.47%, 52.10% and 12.42%, respectively. There was no significant differences in patient age, basal endocrine level and the average number of retrieved oocytes and good quality day 3 embryos before biopsy in the SNP-PGS group compared with the FISH-PGD group. The number of embryos biopsied in the FISH-PGD group was higher than in the SNP-PGS group. However, the pregnancy rate with successful delivery per oocyte retrieval and the implantation rate were both lower in the FISH-PGD group than in the SNP-PGS group. The spontaneous abortion rate was higher in the FISH-PGD group than in the SNP-PGS group.
2013-03-11 | GSE44994 | GEO
Project description:Estimating accuracy of absolute gene expression measurement by RNA-Seq and microarrays with proteomics
| PRJNA109395 | ENA