Search results for "-omics"

showing 9 items of 9 documents

Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

2021

Abstract Background Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. Results Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci ass…

AgingMultifactorial InheritanceBLOODEpigenetic clock05 Environmental SciencesbiomarkkeritGenome-wide association studyQH426-470Epigenesis Genetic/dk/atira/pure/core/keywords/icep0302 clinical medicineBiomarkers of agingGWASBiology (General)AdiposityGenetics11832 Microbiology and virology0303 health sciences318 Medical biotechnologyDNA methylation1184 Genetics developmental biology physiologygenomiikkaDna Methylation ; Epigenetic Clock ; Gwasddc:DNA-metylaatioINSIGHTSC-Reactive ProteinepigenetiikkaDNA methylationMENDELIAN RANDOMIZATION/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingEducational StatusICEPGenetic MarkersPROVIDESSUSCEPTIBILITY LOCIBioinformaticsQH301-705.5GenomicsBiology03 medical and health sciencesNHLBI Trans-Omics for Precision Medicine (TOPMed) ConsortiumAGESDG 3 - Good Health and Well-beingPlasminogen Activator Inhibitor 1REGRESSIONGeneticsHumansEpigeneticsGeneMETAANALYSIS030304 developmental biologyGenome HumanResearchGenetics of DNA Methylation Consortium06 Biological SciencesLipid MetabolismHuman geneticsGenetic architectureImmunity InnateikääntyminenGenetic LociCpG Islands08 Information and Computing Sciences3111 BiomedicineENRICHMENTepigenetic clock030217 neurology & neurosurgeryBiomarkersGenome-Wide Association StudyGranulocytes
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Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

Data Integrationeducation.field_of_studyComputer scienceScale (chemistry)Bayesian probabilityPopulationQuantitative Trait LociBiological databaseInferenceData Integration ; Machine Learning ; Multi-omics ; Network Inference ; Personalized Medicine ; Prior Information ; Simulation ; Systems BiologyComputational biologyQuantitative trait locusReplication (computing)Machine LearningPrior probabilityCohortGeneticsMolecular MedicineHumans:Medicine [Science]Gene Regulatory NetworkseducationTranscriptomeMolecular BiologyGenetics (clinical)Genome medicine
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Artificial Intelligence and Precision Medicine: A Perspective

2022

This article aims to present how the advanced solutions of artificial intelligence and precision medicine work together to refine medical management. Multi-omics seems the most suitable approach for biological analysis of data on precision medicine and artificial intelligence. We searched PubMed and Google Scholar databases to collect pertinent articles appearing up to 5 March 2021. Genetics, oncology, radiology, and the recent coronavirus disease (COVID-19) pandemic were chosen as representative fields addressing the cross-compliance of artificial intelligence (AI) and precision medicine based on the highest number of articles, topicality, and interconnectedness of the issue. Overall, we i…

Artificial intelligenceMulti-omicsPrecision medicineGeneticsHealth careCOVID-19Radiology
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Common Factors in Neurodegeneration: A Meta-Study Revealing Shared Patterns on a Multi-Omics Scale

2020

Neurodegenerative diseases such as Alzheimer&rsquo

Proteomicsamyotrophic lateral sclerosisParkinson's diseaseDatabases FactualProteomeDiseaseComputational biologyBiologyPolymorphism Single NucleotideArticleTranscriptomeImmune systemHuntington's diseaseAlzheimer DiseasemedicineHumansbiochemistryAmyotrophic lateral sclerosislcsh:QH301-705.5GeneAlzheimer’s disease ; multi-omics ; neurodegeneration ; Huntington’s disease ; Parkinson’s disease ; amyotrophic lateral sclerosisNeurodegenerationneurodegenerationNeurodegenerative DiseasesParkinson DiseaseGenomicsGeneral Medicinemulti-omicsmedicine.diseaseImmunity HumoralGene OntologyHuntington Diseaselcsh:Biology (General)Parkinson’s diseaseTranscriptomeAlzheimer’s diseaseGenome-Wide Association StudyHuntington’s disease
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On the Road to Accurate Biomarkers for Cardiometabolic Diseases by Integrating Precision and Gender Medicine Approaches

2019

The need to facilitate the complex management of cardiometabolic diseases (CMD) has led to the detection of many biomarkers, however, there are no clear explanations of their role in the prevention, diagnosis or prognosis of these diseases. Molecules associated with disease pathways represent valid disease surrogates and well-fitted CMD biomarkers. To address this challenge, data from multi-omics types (genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and nutrigenomics), from human and animal models, have become available. However, individual omics types only provide data on a small part of molecules involved in the complex CMD mechanisms, whereas, here, we pr…

Male0301 basic medicineGenomicsReviewaccurate CMD biomarkersDiseaseComputational biology030204 cardiovascular system & hematologyProteomicsCatalysisInorganic Chemistry03 medical and health sciences0302 clinical medicineMetabolic DiseasesGender medicineAnimalsHumansMedicinePrecision MedicinePhysical and Theoretical ChemistryMolecular BiologySpectroscopyEpigenomicscardiometabolic diseasebusiness.industrygender medicineOrganic ChemistryMultidimensional dataComputational BiologyGeneral MedicineOmicsComputer Science Applicationsaccurate CMD biomarker030104 developmental biologyNutrigenomicsCardiovascular DiseasesFemalemulti-omics integrationcardiometabolic diseasesbusinessBiomarkersmanagementInternational Journal of Molecular Sciences
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Genomic portrait of a sporadic amyotrophic lateral sclerosis case in a large spinocerebellar ataxia type 1 family

2020

Background: Repeat expansions in the spinocerebellar ataxia type 1 (SCA1) gene ATXN1 increases the risk for amyotrophic lateral sclerosis (ALS), supporting a relationship between these disorders. We recently reported the co-existence, in a large SCA1 family, of a clinically definite ALS individual bearing an intermediate ATXN1 expansion and SCA1 patients with a full expansion, some of which manifested signs of lower motor neuron involvement. Methods: In this study, we employed a systems biology approach that integrated multiple genomic analyses of the ALS patient and some SCA1 family members. Results: Our analysis identified common and distinctive candidate genes/variants and related biolog…

Candidate geneSpinocerebellar Ataxia Type 1Medicine (miscellaneous)lcsh:MedicineNetworkBiologyArticle03 medical and health sciences0302 clinical medicinemulti-omics; networkC9orf72medicineCustomized aCGHAmyotrophic lateral sclerosisGene030304 developmental biologyTAF15Genetics0303 health sciencesMulti-omicslcsh:Rmedicine.diseaseAmyotrophic lateral sclerosisPhenotypeSCA1-MNNGSSpinocerebellar ataxiaSpinocerebellar ataxia030217 neurology & neurosurgeryPathway
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Comprehensive Analysis of SWI/SNF Inactivation in Lung Adenocarcinoma Cell Models

2020

Simple Summary: Mammalian SWI/SNF complexes regulate gene expression by reorganizing the way DNA is packaged into chromatin. SWI/SNF subunits are recurrently altered in tumors at multiple levels, including DNA mutations as well as alteration of the levels of RNA and protein. Cancer cell lines are often used to study SWI/SNF function, but their patterns of SWI/SNF alterations can be complex. Here, we present a comprehensive characterization of DNA mutations and RNA and protein expression of SWI/SNF members in 38 lung adenocarcinoma (LUAD) cell lines. We show that over 85% of our cell lines harbored at least one alteration in one SWI/SNF subunit. In addition, over 75% of our cell lines lacked…

0301 basic medicineLung adenocarcinomaCancer ResearchcellsCellgenetic processesmacromolecular substancesBiologylcsh:RC254-282Articlelaw.inventionTranscriptome03 medical and health sciences0302 clinical medicinelawmedicineEpigeneticsMulti-omicsSWI/SNF complexepigeneticsCancermulti-omicslcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseaselung adenocarcinomaSWI/SNFcell models3. Good healthCell biologyChromatinenzymes and coenzymes (carbohydrates)lung cancer030104 developmental biologymedicine.anatomical_structureOncology030220 oncology & carcinogenesisCell modelSuppressorEpigeneticsbiological phenomena cell phenomena and immunityLung cancerSWI/SNF complex
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Status and prospects of systems biology in grapevine research

2019

The cultivated grapevine, Vitis vinifera L., has gathered a vast amount of omics data throughout the last two decades, driving the imperative use of computational resources for its analysis and integration. Molecular systems biology arises from this need allowing to model and predict the emergence of phenotypes or responses in biological systems. Beyond single omics networks, integrative approaches associate the molecular components of an organism and combine them into higher order networks to model dynamic behaviors. Application of network-based methods in multi-omics data is providing additional resources to address important questions regarding grapevine fruit quality and composition. He…

Settore BIO/11 - BIOLOGIA MOLECOLAREMulti-omicsExploitComputer scienceSystems biologyIntegrative analysisMolecular systemsRegulatory networkData scienceOmics dataMulti omicsGene co-expressionVitis viniferaOrganism
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"Omics-" for a mapping of grapevine response to elicitors and identification of induced resistance markers

2017

SPEIPMINRAUBCNRS; "Omics-" for a mapping of grapevine response to elicitors and identification of induced resistance markers . 12. European Fondation for Plant Pathology (EFPP) & 10. French Society for Plant Pathology Conference ‘Deepen Knwoledge in Plant Pathology for Innovative Agro-Ecology’

[SDV] Life Sciences [q-bio]elicitor[ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]fungi-omicsfood and beveragesinduced resistancegrapevine
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