Background While recent sequencing studies have revealed that 10% of childhood gliomas are caused by rare germline mutations, the role of common variants is undetermined and no genome-wide significant risk loci for pediatric CNS tumors have been identified to date.
Methods Meta-analysis of three population-based genome-wide association studies (GWASs) comprising 4,069 children with glioma and 8,778 controls of multiple genetic ancestries. Replication was performed in a separate case-control cohort. Quantitative trait loci analyses and a transcriptome-wide association study were conducted to assess possible links with brain tissue expression across 18,628 genes.
Background Epigenome-wide association studies (EWAS) have helped to define the associations between DNA methylation and many clinicopathologic and developmental traits. Since DNA methylation is affected by genetic variation at certain loci, EWAS associations may be potentially influenced by genetic effects. However, a formal assessment of the value of incorporating genetic variation in EWAS evaluations is lacking especially for multiethnic populations.
Methods Using single nucleotide polymorphism (SNP) from Illumina Omni Express or Affymetrix PMDA arrays and DNA methylation data from the Illumina 450 K or EPIC array from 1638 newborns of diverse genetic ancestries, we generated DNA methylation quantitative trait loci (mQTL) databases for both array types.
Pilocytic astrocytoma (PA) is the most common pediatric brain tumor. PA has at least a 50% higher incidence in populations of European ancestry compared to other ancestral groups, which may be due in part to genetic differences.
We first compared the global proportions of European, African, and Amerindian ancestries in 301 PA cases and 1185 controls of self-identified Latino ethnicity from the California Biobank. We then conducted admixture mapping analysis to assess PA risk with local ancestry.
Down syndrome (DS) is caused by constitutional trisomy of chromosome 21 and is associated with an up to 30-fold increased risk of acute lymphoblastic leukemia (ALL). While DS is associated with alterations in epigenetic markers, including DNA methylation, and gene expression. These mechanisms have not been fully explored in relation to DS-ALL etiology. Because the epigenome is sensitive to genetic and environmental influences during fetal development and can be leveraged to characterize blood cell proportions, we sought to evaluate the role of the neonatal methylome in children with DS on subsequent ALL risk.
Background: Childhood glioblastoma multiforme (GBM) is a highly aggressive disease with low survival, and its etiology, especially concerning germline genetic risk, is poorly understood. Mitochondria play a key role in putative tumorigenic processes relating to cellular oxidative metabolism, and mitochondrial DNA variants were not previously assessed for association with pediatric brain tumor risk.
Methods: We conducted an analysis of 675 mitochondrial DNA variants in 90 childhood GBM cases and 2,789 controls to identify enrichment of mitochondrial variant associated with GBM risk.
Abstract
Purpose
Portal venous pressure (PVP) measurement is of clinical significance, especially in patients with portal hypertension. However, the invasive nature and associated complications limits its application. The aim of the study is to propose a noninvasive predictive model of PVP values based on CT-extracted radiomic features. Methods
Radiomics PVP (rPVP) models based on liver, spleen and combined features were established on an experimental cohort of 169 subjects. Radiomics features were extracted from each ROI and reduced via the LASSO regression to achieve an optimal predictive formula.