Analysis of genetic variations in DNA repair genes in the genus Equus
Ontology highlight
ABSTRACT:
INSTRUMENT(S): ABI 3500 Genetic Analyzer
ORGANISM(S): Equus
SUBMITTER: Morinha Lab-Laboratory of Biodiversity and Molecular Genetics
PROVIDER: PRJEB84388 | EVA | 2025-01-17
REPOSITORIES: EVA
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2020-08-30 | GSE154972 | GEO
Project description:Interventions: The aim of this research is to find the undiscovered gene or genes responsible for hereditary colorectal cancer, and to understand how the gene(s) cause colorectal cancer. One of the best approaches used to find the answers to these questions is to study families where there are several family members affected with colorectal cancer.
Case probands and their relatives (affected and unaffected) will be recruited
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Project description:A number of genetic studies have identified rare protein-coding DNA variations associated with autism spectrum disorder (ASD), a neurodevelopmental disorder with significant genetic etiology and heterogeneity. In contrast, the contributions of functional, regulatory genetic variations that occur in the extensive non-protein-coding regions of the genome remain poorly understood. Here we developed a genome-wide analysis to identify rare single nucleotide variants (SNVs) that occur in non-coding regions and determined regulatory function and evolutionary conservation of these variants. Using publicly available datasets and computational predictions, we identified SNVs within putative regulatory regions in promoters, transcription factor binding sites, microRNA genes and their target sites. Overall, we found regulatory variants in the ASD cases were enriched in autism-risk genes and genes involved in fetal neurodevelopment. As with previously reported coding mutations, we found an enrichment of regulatory variants associated with dysregulation of neurodevelopmental and synaptic signaling pathways. Among these were rare inherited non-coding SNVs found in the mature sequence of a number of microRNAs predicted to affect the regulation of autism-risk genes. We show a paternally inherited miR-873-5p variant, with reduced NRXN2 binding affinity, overlays a maternally inherited NRXN1 putative loss-of-function coding variation to likely increase genetic liability in an idiopathic ASD case. Our analysis pipeline provides a new resource for identifying loss-of-function regulatory DNA variations that may contribute to the genetic etiology of complex disorders.
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Project description:To efficiently identify genetic susceptibility variants for gastric cancer, including rare coding variants, we performed an exome chip-based array study. We found that a linkage disequilibrium (LD) block containing 2 significant variants in PSCA gene increased the risk and two blocks that included 15 suggested variants including TRIM31, TRIM 40, TRIM 10, and TRIM26 regions, and included one suggested variant and OR2H2 gene showed protective associations with gastric cancer susceptibility. In addition, the PLEC region (rs200893203), FBLN2 region (rs201192415), and EPHA2 region (rs3754334) were associated with increased susceptibility We performed an exome chip-based array study in 329 gastric cancer cases and 683 controls.
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Project description:This data set includes the following summary level data files used for the 13k analysis of T2D-GENES data: wes.variants.list: list of variants to keep for any analysis of the exomes data wes.assoc.samples.list: list of samples to keep for association analysis wes.assoc.variants.list: list of variants to keep for association analysis wes.sv.assoc.txt: single variant association analysis results wes.gene.ptv.variants.list.txt: list of protein truncating variants to use in gene-level analysis wes.gene.ptv.assoc.txt: results from gene-level tests of protein truncating variants wes.gene.nsstrict.variants.list.txt: list of NSstrict variants to use in gene-level analysis wes.gene.nsstrict.assoc.txt: results from gene-level tests of NSstrict variants wes.gene.nsbroad.variants.list.txt: list of NSbroad variants to use in gene-level analysis wes.gene.nsbroad.assoc.txt: results from gene-level tests of NSbroad variants wes.gene.ns.variants.list.txt: list of non synonymous variants to use in gene-level analysis wes.gene.ns.assoc.txt: results from gene-level tests of non synonymous variants
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Project description:Homeodomains (HDs) are the second largest class of DNA binding domains (DBDs) in eukaryotic sequence-specific transcription factors (TFs) and are the TF structural class with the largest number of disease mutations in the Human Gene Mutation Database (HGMD). Despite numerous structural studies and large-scale analyses of HD DNA binding specificity, HD-DNA recognition is still not fully understood. Here, we analyzed 92 human HD mutants, including disease-associated variants and variants of unknown significance (VUS), for their effects on DNA binding activity. Many of the variants altered DNA binding affinity and/or specificity. Structural analysis identified 14 novel specificity-determining positions, 5 of which do not contact DNA. The same missense substitution at analogous positions within different HDs exhibited different effects on DNA binding activity. Variant effect prediction tools perform moderately well in distinguishing variants with altered DNA binding affinity, but poorly in identifying those with altered binding specificity. Our results highlight the need for biochemical assays of TF coding variants and promote dozens of variants for further investigations into their pathogenicity and the development of clinical diagnostics and precision therapies.
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