Publications by authors named "Shadrin A"

The increasing number of antibiotic-resistant bacterial pathogens is a serious problem in medicine. Endolysins are bacteriolytic enzymes of bacteriophages, and a promising group of enzymes with antibacterial properties. Endolysins of bacteriophages infecting Gram-positive bacteria have a modular domain organization.

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Antidepressants exhibit a considerable variation in efficacy, and increasing evidence suggests that individual genetics contribute to antidepressant treatment response. Here, we combined data on antidepressant non-response measured using rating scales for depressive symptoms, questionnaires of treatment effect, and data from electronic health records, to increase statistical power to detect genomic loci associated with non-response to antidepressants in a total sample of 135,471 individuals prescribed antidepressants (25,255 non-responders and 110,216 responders). We performed genome-wide association meta-analyses, genetic correlation analyses, leave-one-out polygenic prediction, and bioinformatics analyses for genetically informed drug prioritization.

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While brainstem regions are central regulators of blood pressure, the neuronal mechanisms underlying their role in hypertension remain poorly understood. Here, we investigated the structural and genetic relationships between global and regional brainstem volumes and blood pressure. We used magnetic resonance imaging data from n = 32,666 UK Biobank participants, and assessed the association of volumes of the whole brainstem and its main regions with blood pressure.

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The observation that the risk of developing Alzheimer's disease is reduced in individuals with high premorbid cognitive functioning, higher educational attainment, and occupational status has led to the 'cognitive reserve' hypothesis. This hypothesis suggests that individuals with greater cognitive reserve can tolerate a more significant burden of neuropathological changes before the onset of cognitive decline. The underpinnings of cognitive reserve remain poorly understood, although a shared genetic basis between measures of cognitive reserve and Alzheimer's disease has been suggested.

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  • The study highlights the extensive overlap between anxiety disorders (ANX) and major depression (MD), suggesting that most genetic analyses fail to account for this comorbidity, potentially skewing results.
  • The research objective is to clarify the genetic and causal relationships between ANX and MD by performing disorder-specific analyses using data from large cohorts like the UK Biobank and Norwegian MoBa.
  • Findings show that ANX and MD have a lower genetic correlation when considered separately (0.53) compared to when they are comorbid (0.90), along with evidence of bidirectional causality in comorbid cases, indicating more complex interactions than previously understood.
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  • Childhood and adolescence often see the emergence of mood and anxiety disorders, with overlapping genetic factors potentially influencing emotional and behavioral difficulties.
  • The study analyzed data from over 54,000 children in the Norwegian Mother, Father, and Child Cohort to discern how genetic predispositions (polygenic scores) relate to development patterns of these disorders.
  • Results indicated that higher genetic risk correlates with a baseline increase and accelerated progression of behavioral issues, while specific genetic profiles linked uniquely to certain emotional disorders were identified.
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The World Health Organization has selected enterococci as one of the priority multidrug-resistant microorganisms for the development of new antibacterial drugs. Bacteriophages are promising antibacterial agents, but the biology of bacteriophages requires deeper understanding. The vB_EfS_SE phage which is capable of infecting four species of the genus was isolated from sewage plant.

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Objective: We aimed to investigate the incidence of juvenile idiopathic arthritis (JIA) in the three geographic regions of Norway and whether potential regional incidence differences are explained by environmental or genetic factors across regions.

Methods: We conducted a register-based cohort study including all Norwegian children born from 2004 to 2019, with follow-up throughout 2020. The JIA diagnosis, defined by at least two International Classification of Diseases, Tenth Revision codes for JIA, was validated against medical records.

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Background: Genetics has the potential to inform biologically relevant drug treatment and repurposing which may ultimately improve patient care. In this study, we combine methods which leverage the genetics of psychiatric disorders to prioritize potential drug targets and compounds.

Methods: We used the largest available genome-wide association studies, in European ancestry, of four psychiatric disorders [i.

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  • Cognitive impairment is common in individuals with epilepsy, and this study explores the genetic links between different epilepsy subtypes and cognitive ability, revealing that genetic factors play a significant role.
  • Researchers analyzed data from 269,867 individuals regarding cognitive ability and 27,559 cases of common epilepsies, using various statistical tools to identify the genetic variants involved.
  • The findings indicate that cognitive ability has a much larger number of genetic variants compared to epilepsy types, and they identified 66 genetic loci shared between cognitive function and different epilepsy subtypes, suggesting important gene expressions in brain regions affected by both conditions.
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  • The basal ganglia are brain structures that play key roles in motor control, cognition, and emotion, and this study explored their genetic architecture through genome-wide association studies (GWAS) involving over 34,000 European participants.
  • The research identified 72 genetic loci linked to basal ganglia volumes, with 50 of these being new discoveries, and highlighted a significant genetic overlap with disorders like Parkinson's and Alzheimer's disease.
  • Findings suggest potential causal relationships where larger striatal volumes may contribute to Parkinson's disease risk, while certain genetic factors may influence the size of other basal ganglia components, advancing understanding of their implications in neurological conditions.
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  • The study aimed to identify genetic factors linked to anxiety disorders and how they overlap with other psychiatric disorders, using a large sample from various studies.
  • Researchers found that anxiety has a complex genetic architecture involving around 12,900 genetic variants, with significant overlap with disorders like schizophrenia and major depression, among others.
  • The findings revealed 119 new genetic loci associated with anxiety, suggesting potential biological pathways for developing new treatments and explaining the frequent co-occurrence of anxiety with other psychiatric conditions.
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  • - MDD and CVD commonly occur together, leading to higher health risks, and they share many genetic risk factors, with notable genetic overlaps found in specific brain regions like the thalamus.
  • - The research identified seven genetic loci linked to both disorders and highlighted that factors like inflammation and lifestyle contribute to the shared risk between MDD and atherosclerotic CVD.
  • - The findings suggest that genetic predisposition to MDD increases the risk of CVD, while the reverse is less evident, indicating a specific immunometabolic subtype of MDD that may be targeted for better prevention of CVD.
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A gene encoding a polysaccharide-degrading enzyme was cloned from the genome of the bacterium . Analysis of the amino acid sequence of the protein showed the presence of the catalytic domain of the endo-1,4-β-xylanases of the GH11 family. The gene was amplified by PCR and ligated into the pPic9m vector.

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Genome-wide association studies (GWAS) implicate broad genomic loci containing clusters of highly correlated genetic variants. Finemapping techniques can select and prioritize variants within each GWAS locus which are more likely to have a functional influence on the trait. Here, we present a novel method, Finemap-MiXeR, for finemapping causal variants from GWAS summary statistics, controlling for correlation among variants due to linkage disequilibrium.

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Schizophrenia phenotypes are suggestive of impaired cortical plasticity in the disease, but the mechanisms of these deficits are unknown. Genomic association studies have implicated a large number of genes that regulate neuromodulation and plasticity, indicating that the plasticity deficits have a genetic origin. Here, we used biochemically detailed computational modeling of postsynaptic plasticity to investigate how schizophrenia-associated genes regulate long-term potentiation (LTP) and depression (LTD).

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  • Cognitive impairment significantly impacts functional outcomes in schizophrenia, but the biological causes of this dysfunction are still not fully understood.
  • The study used advanced genetic modeling to identify three main factors linked to cognitive traits from the UK Biobank, revealing a moderate negative genetic correlation between these cognitive factors and schizophrenia.
  • Results show that while there's a shared genetic basis between cognitive abilities and schizophrenia, the genetic factors do not predict specific schizophrenia symptoms, suggesting distinct underlying genetic architectures for cognitive function and the disorder.
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  • Major depressive disorder (MDD) and cardiovascular disease (CVD) often occur together, leading to increased health issues and mortality rates.
  • A study discovered that many genetic risk factors for CVD overlap with those for MDD, indicating a shared biological basis, particularly involving specific brain regions and cell types.
  • The findings suggest that genetic predisposition to MDD can increase the risk of developing CVD, while lifestyle and metabolic factors also play significant roles, potentially creating an immunometabolic subtype of MDD more closely linked with CVD.
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While genome-wide association studies are increasingly successful in discovering genomic loci associated with complex human traits and disorders, the biological interpretation of these findings remains challenging. Here we developed the GSA-MiXeR analytical tool for gene set analysis (GSA), which fits a model for the heritability of individual genes, accounting for linkage disequilibrium across variants and allowing the quantification of partitioned heritability and fold enrichment for small gene sets. We validated the method using extensive simulations and sensitivity analyses.

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Background And Objectives: Epilepsies are associated with differences in cortical thickness (TH) and surface area (SA). However, the mechanisms underlying these relationships remain elusive. We investigated the extent to which these phenotypes share genetic influences.

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Oxytocin is a neuropeptide associated with both psychological and somatic processes like parturition and social bonding. Although oxytocin homologs have been identified in many species, the evolutionary timeline of the entire oxytocin signaling gene pathway has yet to be described. Using protein sequence similarity searches, microsynteny, and phylostratigraphy, we assigned the genes supporting the oxytocin pathway to different phylostrata based on when we found they likely arose in evolution.

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Objective: Cognitive impairment is prevalent among individuals with epilepsy, and it is possible that genetic factors can underlie this relationship. Here, we investigated the potential shared genetic basis of common epilepsies and general cognitive ability (COG).

Methods: We applied linkage disequilibrium score (LDSC) regression, MiXeR and conjunctional false discovery rate (conjFDR) to analyze different aspects of genetic overlap between COG and epilepsies.

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Genetic pleiotropy is abundant across spatially distributed brain characteristics derived from one neuroimaging modality (e.g. structural, functional or diffusion magnetic resonance imaging [MRI]).

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Sex differences in the epidemiology and clinical characteristics of schizophrenia are well-known; however, the molecular mechanisms underlying these differences remain unclear. Further, the potential advantages of sex-stratified meta-analyses of epigenome-wide association studies (EWAS) of schizophrenia have not been investigated. Here, we performed sex-stratified EWAS meta-analyses to investigate whether sex stratification improves discovery, and to identify differentially methylated regions (DMRs) in schizophrenia.

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Comorbidities are an increasing global health challenge. Accumulating evidence suggests overlapping genetic architectures underlying comorbid complex human traits and disorders. The bivariate causal mixture model (MiXeR) can quantify the polygenic overlap between complex phenotypes beyond global genetic correlation.

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