GENEVA GWA mapping: Maternal Metabolism-Birth Weight Interactions
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PROVIDER: PRJNA76013 | ENA |
REPOSITORIES: ENA
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Project description:GENEVA GWA mapping: Maternal Metabolism-Birth Weight Interactions
| PRJNA76015 | ENA
Project description:To investigate the lncRNA profiles in low birth weight rats with reduced nephron endowment induced by restriction of maternal protein intake. Low birth weight by reduced nephron endowment is a risk factor for hypertension and end-stage renal disease in adulthood.
2017-02-13 | GSE64239 | GEO
Project description:We conducted a genome-wide placental transcriptome study aiming at the identification of functional pathways representing the molecular link between maternal pre-pregnancy BMI and fetal growth. We used RNA microarray (Agilent 8 X 60 K), medical records, and questionnaire data from 183 mother-newborn pairs from the ENVIRONAGE birth cohort study (Flanders, Belgium). We applied a weighted gene co-expression network analysis (WGCNA) and identified genes modules and hub genes that were associated with maternal BMI as well as newborn birth weight. Modules of interest were further characterized by gene ontology (GO) and pathway enrichment analyses. We assessed the mediating effects of modules and hub genes in the association between maternal BMI and newborn weight.
2019-03-16 | GSE128381 | GEO
Project description:Epigenetic profiling of birth-weight discordant twins using Illumina's 450K Human DNA methylation BeadChip Comparing DNA methylation difference in birth-weight discordant twin pairs
2014-12-15 | E-GEOD-61496 | biostudies-arrayexpress
Project description:<p>Low and high birth weight are not only major causes of neonatal morbidity and mortality, but epidemiological data have established an association between birth weight and later life risk of adult metabolic diseases. Fetal growth is determined by complex interactions between fetal genes and the maternal uterine environment. Subtle or overt variation in maternal glucose tolerance, which is, in part, genetically determined, is related to fetal size at birth. Moreover, new emerging data suggest that genetic variation in the fetus can impact maternal metabolism (e.g., blood pressure and glucose tolerance). Given the above, we are addressing the hypothesis that, during pregnancy, gene-environment interactions in the context of the maternal-fetal unit impact fetal size at birth and maternal metabolism. Genes that control fetal growth or maternal metabolism during pregnancy are largely unknown, so the first step to address our hypothesis will be to identify genetic variation that impacts fetal growth and maternal metabolism and to determine the interaction of that variation with the intrauterine and fetal environment.</p> <p>To accomplish this, we are performing genome wide association (GWA) mapping on a subset of ~37,000 DNA samples that were collected from mothers and their offspring as part of the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. HAPO is a multicenter, international study in which high quality phenotypic data related to fetal growth and maternal glucose metabolism has been collected from 25,000 pregnant women of varied racial and socio-demographic backgrounds using standardized protocols that were uniform across centers. For these studies, we are genotyping 1,500 infants and their mothers of European descent, 1,250 Afro-Caribbean infants and mothers, 800 Hispanic (Mexican-American) infants and mothers, and 1200 Thai infants and mothers. Genotyping is being performed using the Illumina Human610 Quad (European ancestry participants), Human1M Duo (Afro-Caribbean and Hispanic participants), and Omni1-Quad_v1-0_B (Thai participants).</p> <p>The specific aims for the project are as follows: (1) To apply analytic approaches for conducting GWA mapping studies on quantitative phenotypes related to offspring size at birth (birth weight, ponderal index, head circumference and adiposity) allowing for other known influences such as gestational age, parity, and maternal weight gain. (2) To apply the above approaches to identify genetic variation that impacts maternal glucose tolerance at ~28 weeks of gestation (fasting glucose, glucose during an oral glucose tolerance test, and insulin sensitivity expressed as quantitative traits) allowing for other known influences such as maternal weight gain, parity and age. (3) To examine the interaction between maternal genes, the intrauterine environment, and fetal genes to identify interactions that modulate genetic regulation of size at birth and fetal genetic variation that impacts on maternal glucose tolerance. GWA mapping will provide initial evidence for association of specific SNPs with the quantitative traits outlined above.</p> <p>As low and high birth weight are not only major causes of neonatal morbidity and mortality but have also been associated with increased risk of metabolic diseases in adults, identification of genes that regulate fetal growth and maternal metabolism will provide novel information about the pathways that regulate these processes as well as important insight into susceptibility genes for chronic diseases like type 2 diabetes.</p> <p>The Version 1 (v1) dbGaP release will include data only from the Hispanic study participants. The Version 2 (v2) dbGaP release will include data from the Hispanic and European ancestry study participants. The Version 3 (v3) dbGaP release will include data from the Afro-Caribbean, Hispanic and European ancestry participants. The Version 4 (v4) dbGaP release will include data from all participants (i.e., Afro-Caribbean, Hispanic, European ancestry, and Thai participants).</p> <p>This study is part of the Gene Environment Association Studies initiative (GENEVA, <a href="http://www.genevastudy.org" target="_blank">http://www.genevastudy.org</a>) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to maternal metabolism and birthweight through large-scale genome-wide association studies of infants and their mothers at multiple international sites. Genotyping was performed at the Broad Institute of MIT and Harvard, and at CIDR of Johns Hopkins University, GENEVA genotyping centers. Data cleaning and harmonization was performed at the GEI-funded GENEVA Coordinating Center at the University of Washington.</p>
| phs000096 | dbGaP
Project description:16S rRNA gene sequencing of the extremelly birth weight infant gut
| PRJEB17882 | ENA
Project description:Sub-optimal fetal development is associated with an increased risk of developing cardiovascular disease, type 2 diabetes (T2D) and adiposity later in life. However, definitions of intrauterine growth restriction (IUGR) and small for gestational age (SGA) are based on simple statistical approaches that may misclassify infants with a normal developmental profile and vice versa. We used an unbiased global profiling approach to identify gene expression patterns in umbilical cord tissue from 38 infants and identified a set of 466 genes which separated the subjects into 2 distinct groups – one biased towards lower birth weight and one biased towards normal birth weight. The data suggest that approximately 30% of children of normal size have a molecular profile more typical of impaired fetal development and who may be on a programmed trajectory. Differences in expression between the two groups encompassed 384 upregulated and 82 downregulated genes. Molecular profiling at birth may have utility in identifying markers that potentially reflect antenatal developmental and may be predictive of future phenotypic development after birth. Importantly, it may provide an alternative to the current classification of infants using birth weights. RNA from umbilical cord tissue from full term neonates was extracted and hybridized. Separation into 2 distinct groups, independent of birth weight, but based solely on gene expression levels was analysed by Genespring. After appropriate statistical analysis, one group was keenly associated with a higher birth weight (22 samples) while the other was associated with a lower birth-weight (18 samples). Technical replicates were included for all 40 samples.
2011-10-20 | E-GEOD-24818 | biostudies-arrayexpress
Project description:Epigenetic profiling of birth-weight discordant twins using Illumina's 450K Human DNA methylation BeadChip
2014-12-15 | GSE61496 | GEO
Project description:16S rRNA gene sequencing of Extremelly low birth weight infant
| PRJEB17783 | ENA
Project description:Analysis of gene expression in the lungs of pigs from high and low litter birth weight groups (HBW and LBW) inoculated with swine influenza virus. The aim of the experiment is to determine whether litter birth weight has an effect on the innate immune response to infection in pigs, and whether differences in gene expression can be linked to epigenetic differences between the two birth weight groups.
2015-10-27 | GSE62765 | GEO