0000000000011795

AUTHOR

Silke Szymczak

0000-0002-8897-9035

showing 5 related works from this author

A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk

2010

Combined analyses of gene networks and DNA sequence variation can provide new insights into the aetiology of common diseases that may not be apparent from genome-wide association studies alone. Recent advances in rat genomics are facilitating systems-genetics approaches. Here we report the use of integrated genome-wide approaches across seven rat tissues to identify gene networks and the loci underlying their regulation. We defined an interferon regulatory factor 7 (IRF7)-driven inflammatory network (IDIN) enriched for viral response genes, which represents a molecular biomarker for macrophages and which was regulated in multiple tissues by a locus on rat chromosome 15q25. We show that Epst…

Interferon Regulatory Factor-7Quantitative Trait LociGenome-wide association studyLocus (genetics)Single-nucleotide polymorphismBiologyQuantitative trait locusPolymorphism Single NucleotideArticleReceptors G-Protein-Coupled03 medical and health sciences0302 clinical medicineAnimalsHumansGene Regulatory NetworksGenetic Predisposition to DiseaseGene030304 developmental biologyGeneticsInflammation0303 health sciencesMultidisciplinaryBase SequenceChromosomes Human Pair 13MacrophagesChromosomes MammalianImmunity Innate3. Good healthRatsDiabetes Mellitus Type 1Genetic LociOrgan SpecificityVirusesIRF7Trans-acting030217 neurology & neurosurgeryInterferon regulatory factorsGenome-Wide Association Study
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Adaptive linear rank tests for eQTL studies

2012

Expression quantitative trait loci (eQTL) studies are performed to identify single-nucleotide polymorphisms that modify average expression values of genes, proteins, or metabolites, depending on the genotype. As expression values are often not normally distributed, statistical methods for eQTL studies should be valid and powerful in these situations. Adaptive tests are promising alternatives to standard approaches, such as the analysis of variance or the Kruskal-Wallis test. In a two-stage procedure, skewness and tail length of the distributions are estimated and used to select one of several linear rank tests. In this study, we compare two adaptive tests that were proposed in the literatur…

Statistics and ProbabilityGenetic ResearchModels StatisticalRank (linear algebra)EpidemiologyComputer scienceQuantitative Trait LociMonte Carlo methodLinear modelGene ExpressionPolymorphism Single NucleotideArticleSkewnessExpression quantitative trait lociStatisticsLinear ModelsRange (statistics)HumansAnalysis of varianceComputerized adaptive testingMonte Carlo MethodAlgorithmStatistics in Medicine
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Influence of sex and genetic variability on expression of X-linked genes in human monocytes

2011

Abstract In humans, the fraction of X-linked genes with higher expression in females has been estimated to be 5% from microarray studies, a proportion lower than the 25% of genes thought to escape X inactivation. We analyzed 715 X-linked transcripts in circulating monocytes from 1,467 subjects and found an excess of female-biased transcripts on the X compared to autosomes (9.4% vs 5.5%, p  −5 ). Among the genes not previously known to escape inactivation, the most significant one was EFHC2 whose 20% of variability was explained by sex. We also investigated cis expression quantitative trait loci (eQTLs) by analyzing 15,703 X-linked SNPs. The frequency and magnitude of X-linked cis eQTLs were…

AdultMaleTranscription GeneticMicroarrayQuantitative Trait LociSingle-nucleotide polymorphismBiologyPolymorphism Single NucleotideMonocytesX-inactivationSex FactorsGenes X-LinkedX Chromosome InactivationGene expressionGeneticsHumansGenetic variabilityGeneAgedGeneticsChromosomes Human XAutosomeCalcium-Binding ProteinsGenderGenetic VariationMiddle AgedExpression Quantitative Trait LocusExpression quantitative trait lociFemaleGene expressionGenome-Wide Association StudyGenomics
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Genetics and Beyond – The Transcriptome of Human Monocytes and Disease Susceptibility

2010

BACKGROUND: Variability of gene expression in human may link gene sequence variability and phenotypes; however, non-genetic variations, alone or in combination with genetics, may also influence expression traits and have a critical role in physiological and disease processes. METHODOLOGY/PRINCIPAL FINDINGS: To get better insight into the overall variability of gene expression, we assessed the transcriptome of circulating monocytes, a key cell involved in immunity-related diseases and atherosclerosis, in 1,490 unrelated individuals and investigated its association with >675,000 SNPs and 10 common cardiovascular risk factors. Out of 12,808 expressed genes, 2,745 expression quantitative trait …

AdultMaleChromosomes Human Pair 21Cardiovascular DisordersQuantitative Trait Locilcsh:MedicineGenome-wide association studyGenetics and Genomics/Complex TraitsBiologyPolymorphism Single NucleotideMonocytesTranscriptomeQuantitative Trait HeritableCell MovementRisk FactorsHumansGenetic Predisposition to DiseaseGenetics and Genomics/GenomicsAllelelcsh:ScienceGeneAgedGeneticsRegulation of gene expressionMultidisciplinaryBase SequenceGenome HumanGene Expression ProfilingSmokinglcsh:RImmunityGenetic VariationGenetics and GenomicsGenetics and Genomics/Gene ExpressionMiddle AgedAtherosclerosisPhenotypeHuman geneticsGene expression profilingPhenotypeGene Expression RegulationCardiovascular and Metabolic DiseasesFemalelcsh:QDNA ProbesGenome-Wide Association StudyResearch ArticlePLoS ONE
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Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans.

2011

One major expectation from the transcriptome in humans is to characterize the biological basis of associations identified by genome-wide association studies. So far, few cis expression quantitative trait loci (eQTLs) have been reliably related to disease susceptibility. Trans-regulating mechanisms may play a more prominent role in disease susceptibility. We analyzed 12,808 genes detected in at least 5% of circulating monocyte samples from a population-based sample of 1,490 European unrelated subjects. We applied a method of extraction of expression patterns—independent component analysis—to identify sets of co-regulated genes. These patterns were then related to 675,350 SNPs to identify maj…

MaleCancer ResearchGene ExpressionGenome-wide association studyGenetic NetworksCoronary Artery Disease[SDV.GEN] Life Sciences [q-bio]/GeneticsCardiovascularMESH: MonocytesMonocytesMESH: HypertensionTranscriptomes0302 clinical medicineMESH: ProteinsMESH: Genetic VariationGenetics (clinical)GeneticsMESH: Aged0303 health scienceseducation.field_of_studyMESH: Middle AgedMESH: Polymorphism Single NucleotideIntracellular Signaling Peptides and ProteinsMESH: Genetic Predisposition to DiseaseGenomicsMESH: Transcription FactorsMiddle AgedMESH: Ribosomal ProteinsMESH: Gene Expression Regulation3. Good healthHypertensionMedicineFemaleMESH: Diabetes Mellitus Type 1Research ArticleAdultRibosomal Proteinslcsh:QH426-470PopulationQuantitative Trait LociLocus (genetics)Single-nucleotide polymorphismBiologyQuantitative trait locusPolymorphism Single Nucleotide03 medical and health sciencesMESH: Gene Expression ProfilingGenome Analysis ToolsGeneticsGenome-Wide Association StudiesHumansGenetic Predisposition to DiseaseGene NetworkseducationMolecular BiologyBiologyEcology Evolution Behavior and SystematicsMESH: Genome Human030304 developmental biologyGenetic associationAdaptor Proteins Signal TransducingAged[SDV.GEN]Life Sciences [q-bio]/GeneticsMESH: HumansGenome HumanGene Expression ProfilingGenetic VariationProteinsHuman GeneticsMESH: AdultAtherosclerosisMESH: MaleMESH: Quantitative Trait LociGene expression profilingCeliac Diseaselcsh:GeneticsDiabetes Mellitus Type 1Gene Expression RegulationExpression quantitative trait lociGenetics of DiseaseMESH: Genome-Wide Association StudyMESH: MuramidaseMuramidaseGenome Expression AnalysisMESH: Female030217 neurology & neurosurgeryMESH: Celiac DiseaseGenome-Wide Association StudyTranscription Factors
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