0a8175d5-6ef4-4d75-96a7-9d16d8734825 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001008147 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Preterm birth is the major cause of newborn and infant mortality affecting nearly one in every ten live births. This study was designed to develop an epigenetic biomarker for susceptibility of preterm birth using buccal cells from the mother, father, and child (triads). MeDIP-seq was used to identify differential DNA methylation regions (DMRs) using a comparison of control term birth versus preterm birth triads. Epigenetic DMR associations with preterm birth were identified for both the mother and father that were distinct and suggest potential epigenetic contributions from both parents. The mother (165 DMRs) and female child (136 DMRs) at p<1e-04 had the highest number of DMRs and were highly similar suggesting potential epigenetic inheritance of the epimutations. The male child had negligible DMR associations. The DMR associated genes for each group involve previously identified preterm birth associated genes.
2022-03-09 | GSE194227 | GEO
Project description:The dataset is composed by processed whole genome sequencing data generated from 53 children and their respective parents, forming 49 trios (mother, father and child) and 2 quartets (mother, father and two siblings). A total of 18 children were born after spontaneous conception (n = 18); 17 children were born after in vitro fertilization (IVF) and another 18 children were born after intracytoplasmic sperm injection combined with testicular sperm extraction (ICSI-TESE)
| EGAD00001008208 | EGA
Project description:We designed a microarray to test at exonic resolution for genomic imbalance for genes representative of all known chromosomal microdeletion/microduplication syndromes, all known causative genes for ID, all known genes encoding glutamate receptors and their known encoding proteins and all known genes encoding proteins with epigenetic regulatory function. We found 36 de novo copy number variants affecting 35 children in this study. 167 trios, each comprising an affected child and both its normal parents were analyzed by conducting two comparative hybridizations; child vs. mother and child vs. father, and only selecting a CNV if it appeared in both hybridizations, i.e., was de novo. De novo CNVs were independantly validated using quantitative PCR.
2012-07-23 | E-GEOD-39533 | biostudies-arrayexpress
Project description:Clinical laboratories are adopting array comparative genomic hybridization (AGH) as a standard clinical test. A number of whole genome AGH systems are available, but little is known about the comparative performance in a clinical context. We prospectively studied 30 children with idiopathic MR and both unaffected parents of each child using Affymetrix 500K GeneChip SNP arrays, Agilent Human Genome 244K oligonucleotide arrays and NimbleGen 385K Whole-Genome oligonucleotide arrays. We determined whether CNVs called on these platforms were detected by Illumina Hap550 beadchips or SMRT 32K BAC whole genome tiling arrays and tested 15 of the 30 trios on Affymetrix 6.0 SNP array. The Affymetrix 500K, Agilent and NimbleGen platforms identified 3061 autosomal and 117 X chromosome CNVs in 30 trios. 147 of these CNVs were de novo, but only 33 (22%) of the de novo CNVs were found on more than one platform. Performing genotype-phenotype correlations, we identified 7 pathogenic and 4 possibly pathogenic CNVs for MR. All 11 of these CNVs were detected by both the Agilent and NimbleGen arrays, 9 by the Affymetrix 500K and Illumina beadchips, and 5 by the SMRT BAC array. Two of the 4 pathogenic or possibly pathogenic CNVs present in the trios tested with the Affymetrix 6.0 array were identified. Our findings demonstrate that different results are obtained with different AGH platforms and illustrate the trade-off that exists between sensitivity and specificity. The large number of apparently false positive CNV calls supports the need for validating clinically important findings with a different methodology. 15 trios were analysed consisting of child (proband) and both normal parents. We performed separate hybridizations for the mother, father, and child and then performed pair-wise comparisons of the normalized hybridization intensities for the child to the mother and of the child to the father in silico.
2011-02-17 | E-GEOD-27145 | biostudies-arrayexpress
Project description:The inactive X chromosome’s (Xi) physical territory is microscopically devoid of transcriptional hallmarks and enriched in silencing-associated modifications. How these microscopic signatures relate to specific Xi sequence is unknown. This study reports the profiling of Xi gene expression and chromatin states at high-resolution via allele-specific sequencing in F1 hybrid mouse trophoblast stem cells (TSCs). Datasets provided include those generated from strand-specific RNA-Seq, ChIP-Seq, FAIRE-Seq, and DNase-Seq protocols. Included for each dataset are FASTQ files, BED alignments and WIG files with coordinates relative to UCSC genome build mm9, and _snp files that report the location of all SNP-overlapping reads. The F1 TSC lines profiled were generated from crosses between CAST/EiJ (Cast) and C57BL/6J (B6) mice. C/B denotes a Cast mother and B6 father, and B/C denotes a B6 mother and Cast father.
2012-11-21 | E-GEOD-39406 | biostudies-arrayexpress
Project description:Genome-wide methylation profiling on 15 Father-Mother-Offspring trios with Genetic Generalized Epilepsies. All trios have 2 affected (1 parent and offspring) and 1 healthy individuals. Illumina HumanMethylation450 BeadChip was used to obtain DNA methylation profiles which has probes for aproximetely 450000 CpG loci.
2018-09-09 | GSE119684 | GEO
Project description:Genome-wide association study of severe malaria in Gambian mother-father-child trios
| EGAS00000000087 | EGA
Project description:In order to study parent-of-origin effects on gene expression, we performed RNAseq analysis (100bp single end reads) of 165 children who formed part of mother/father/child trios where genotype data was available from the HapMap and/or 1000 Genomes Projects. Based on phased genotypes at heterozygous SNP positions, we generated allelic counts for expression of the maternal and paternal alleles in each individual. This analysis reveals significant bias in the expression of the parental alleles for dozens of genes, including both previously known and novel imprinted transcripts.
2018-06-15 | GSE92521 | GEO