Search results for "genomics"

showing 10 items of 1255 documents

Neanderthal behaviour, diet, and disease inferred from ancient DNA in dental calculus

2017

Weyrich, Laura S. et al.

0301 basic medicineNeanderthalTime Factorsved/biology.organism_classification_rank.speciesneanderthal01 natural sciencesGenomeBelgiumWoolly rhinocerosCalculusDental CalculusHistory AncientNeanderthalsMultidisciplinarygeography.geographical_feature_categoryStomachCarnivoryMouflonIntestinesCavesHealthVegetarians010506 paleontologyMeatPan troglodytesBiologyMethanobrevibacter03 medical and health sciencesFood PreferencesCavebiology.animalAnimalsHumansDNA AncientSymbiosisancient DNAPerissodactyla0105 earth and related environmental sciencesgeographyMouthSheepved/biologyPenicilliumEnterocytozoonbiology.organism_classificationDietstomatognathic diseases030104 developmental biologyAncient DNAMetagenomicsSpainMethanobrevibacter oralisGenome Bacterial
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Alignment Free Dissimilarities for Nucleosome Classification

2016

Epigenetic mechanisms such as nucleosome positioning, histone modifications and DNA methylation play an important role in the regulation of cell type-specific gene activities, yet how epigenetic patterns are established and maintained remains poorly understood. Recent studies have shown a role of DNA sequences in recruitment of epigenetic regulators. For this reason, the use of more suitable similarities or dissimilarity between DNA sequences could help in the context of epigenetic studies. In particular, alignment-free dissimilarities have already been successfully applied to identify distinct sequence features that are associated with epigenetic patterns and to predict epigenomic profiles…

0301 basic medicineNearest neighbour classifiersKnn classifierSettore INF/01 - Informatica030102 biochemistry & molecular biologybiologyComputer scienceSpeech recognitionEpigeneticContext (language use)Computational biologyL-tuples03 medical and health sciences030104 developmental biologyHistoneSimilarity (network science)DNA methylationbiology.proteinNucleosomeEpigeneticsAlignment free DNA sequence dissimilaritiesk-mersNucleosome classificationEpigenomics
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A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.

2018

International audience; In this article, a new Python package for nucleotide sequences clustering is proposed. This package, freely available on-line, implements a Laplacian eigenmap embedding and a Gaussian Mixture Model for DNA clustering. It takes nucleotide sequences as input, and produces the optimal number of clusters along with a relevant visualization. Despite the fact that we did not optimise the computational speed, our method still performs reasonably well in practice. Our focus was mainly on data analytics and accuracy and as a result, our approach outperforms the state of the art, even in the case of divergent sequences. Furthermore, an a priori knowledge on the number of clust…

0301 basic medicineNematoda01 natural sciencesGaussian Mixture Model[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]ComputingMilieux_MISCELLANEOUScomputer.programming_language[STAT.AP]Statistics [stat]/Applications [stat.AP]Phylogenetic treeDNA ClusteringGenomicsHelminth ProteinsComputer Science Applications[STAT]Statistics [stat]010201 computation theory & mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Data analysisEmbeddingA priori and a posteriori[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Health Informatics0102 computer and information sciences[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Biology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Laplacian EigenmapsAnimalsCluster analysis[SDV.GEN]Life Sciences [q-bio]/GeneticsModels Geneticbusiness.industryPattern recognitionNADH DehydrogenaseSequence Analysis DNAPython (programming language)Mixture model[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationVisualization030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONPlatyhelminths[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Programming LanguagesArtificial intelligence[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businesscomputerComputers in biology and medicine
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Meta-analysis of exome array data identifies six novel genetic loci for lung function

2018

Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P<2·8x10-7) associatio…

0301 basic medicineNonsynonymous substitutionVital capacityMedicine (miscellaneous)Genome-wide association studySingle-nucleotide polymorphismBiologyGenomeGeneral Biochemistry Genetics and Molecular Biologyhengityselimet03 medical and health sciencesFEV1/FVC ratio0302 clinical medicineMedicine and Health SciencesmedicineCOPDGWASkeuhkotExome030304 developmental biologyGenetics0303 health sciencesCOPDexome arrayta1184Lung function respiratory exome array GWAS COPDBiology and Life Sciencesta3141lung functionArticlesGenomicsta3121respiratory systemrespiratorymedicine.diseaserespiratory tract diseases030104 developmental biology030220 oncology & carcinogenesisExpression quantitative trait lociResearch Article
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Improving the Management of Patients with Hearing Loss by the Implementation of an NGS Panel in Clinical Practice

2020

A cohort of 128 patients from 118 families diagnosed with non-syndromic or syndromic hearing loss (HL) underwent an exhaustive clinical evaluation. Molecular analysis was performed using targeted next-generation sequencing (NGS) with a custom panel that included 59 genes associated with non-syndromic HL or syndromic HL. Variants were prioritized according to the minimum allele frequency and classified according to the American College of Medical Genetics and Genomics guidelines. Variant(s) responsible for the disease were detected in a 40% of families including autosomal recessive (AR), autosomal dominant (AD) and X-linked patterns of inheritance. We identified pathogenic or likely pathogen…

0301 basic medicineOncologyAdultMalemedicine.medical_specialtyAdolescentlcsh:QH426-470Hearing lossHearing Loss Sensorineuralclinical evaluationPopulationGenomicsDiseaseDeafnessArticle03 medical and health sciences0302 clinical medicineInternal medicinemedicineHumansgeneticsmolecular analysiseducationChildAllele frequencyGenetics (clinical)hearing losseducation.field_of_studybusiness.industryInfant NewbornHigh-Throughput Nucleotide SequencingInfantMiddle Agedmedicine.diseaselcsh:Genetics030104 developmental biologyChild PreschoolCohortMedical geneticsSensorineural hearing lossFemalenext-generation sequencingmedicine.symptombusiness030217 neurology & neurosurgeryGenes
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Genetically elevated gamma-glutamyltransferase and Alzheimer's disease

2018

Observational epidemiological evidence supports a linear and independent association between serum gamma-glutamyltransferase (GGT) concentrations and the risk of Alzheimer's disease (AD). However, the causality of this association has not been previously investigated. We sought to assess the causal nature of this association using a Mendelian randomization (MR) approach. Using inverse-variance weighted MR analysis, we assessed the association between GGT and AD using summary statistics for single nucleotide polymorphism (SNP)-AD associations obtained from the International Genomics of Alzheimer's Project of 17,008 individuals with AD and 37,154 controls. We used 26 SNPs significantly associ…

0301 basic medicineOncologyAgingentsyymitDisease030204 cardiovascular system & hematologyAlzheimerin tautiBiochemistryGWAS genome-wide association studiestransferaasit0302 clinical medicineEndocrinologyEpidemiologyMedicineNHGRI National Human Genome Research InstituteGamma-glutamyltransferasebiologyMR Mendelian randomizationGenetic Pleiotropyta3142SNP single nucleotide polymorphismAlzheimer's disease3. Good healthEuropeAD Alzheimer's diseasegeneettiset tekijätmedicine.medical_specialtySingle-nucleotide polymorphismGRS genetic risk scoreta3111Polymorphism Single NucleotideArticle03 medical and health sciencesAlzheimer DiseaseInternal medicineMendelian randomizationGeneticsMendelian randomizationSNPHumansMolecular Biologybusiness.industryGGT gamma-glutamyltransferaseIGAP International Genomics of Alzheimer's ProjectGenetic VariationGamma-glutamyltransferaseCell BiologyOdds ratioMendelian Randomization AnalysisConfidence intervalCI confidence intervalOR odds ratio030104 developmental biologyCase-Control Studiesbiology.proteinbusinessSD standard deviationGenome-Wide Association StudyExperimental Gerontology
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Genomic Amplifications and Distal 6q Loss: Novel Markers for Poor Survival in High-risk Neuroblastoma Patients.

2018

Abstract Background Neuroblastoma is characterized by substantial clinical heterogeneity. Despite intensive treatment, the survival rates of high-risk neuroblastoma patients are still disappointingly low. Somatic chromosomal copy number aberrations have been shown to be associated with patient outcome, particularly in low- and intermediate-risk neuroblastoma patients. To improve outcome prediction in high-risk neuroblastoma, we aimed to design a prognostic classification method based on copy number aberrations. Methods In an international collaboration, normalized high-resolution DNA copy number data (arrayCGH and SNP arrays) from 556 high-risk neuroblastomas obtained at diagnosis were coll…

0301 basic medicineOncologyCancer ResearchSomatic cellNeuroblastoma0302 clinical medicineGene duplicationMedicine and Health SciencesHigh risk neuroblastomaN-Myc Proto-Oncogene ProteinABNORMALITIESIntensive treatmentGenomicsArticlesPrognosis3. Good healthOncologyChild Preschool030220 oncology & carcinogenesisChromosomes Human Pair 6Chromosome DeletionINTEGRATIONmedicine.medical_specialtyDNA Copy Number VariationsCLASSIFICATION03 medical and health sciencesAGEInternal medicineNeuroblastomaSTRATIFICATIONClinical heterogeneityBiomarkers TumormedicineHumansGenetic Predisposition to DiseaseCopy number aberrationneoplasmsGenetic Association StudiesNeoplasm StagingACCUMULATIONbusiness.industryOUTCOME PREDICTIONGene AmplificationInfantBiology and Life SciencesDNAmedicine.diseaseDELINEATION030104 developmental biologyCOPY NUMBEROutcome predictionbusiness
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Involvement of non-coding RNAs in chemo- and radioresistance of colorectal cancer

2016

Despite recent progress in understanding the cancer signaling pathways and in developing new therapeutic strategies, however, the resistance of colorectal cancer (CRC) cells to chemo- and radiotherapy represents the main hurdle to the successful treatment, leading to tumor recurrence and, consequently, a poor prognosis. Therefore, overcoming drug and radiation resistance, enhancing drug and radiation sensitivity of CRC cells, and improving the effi cacy of chemo- and radiotherapy have an important signifi cance in the treatment of CRC. The identifi cation of new molecular biomarkers which can predict therapy response and prognosis is one of the most signifi cant aims in pharmacogenomics and…

0301 basic medicineOncologyDrugmedicine.medical_specialtyColorectal cancermedicine.medical_treatmentmedia_common.quotation_subjectTherapy responseBiologyTargeted therapyTargeted therapy03 medical and health sciences0302 clinical medicineRadioresistanceInternal medicinemicroRNAmedicineChemotherapyNon-coding RNAneoplasmsChemoresistance; Chemotherapy; miRNAs; Non-coding RNA; Predictive biomarkers; Radioresistance; Radiotherapy; Targeted therapy; Therapy response; Medicine (all); Biochemistry Genetics and Molecular Biology (all)miRNAmedia_commonChemotherapyBiochemistry Genetics and Molecular Biology (all)RadiotherapyMedicine (all)Radioresistancemedicine.diseaseRadiation therapyPredictive biomarker030104 developmental biology030220 oncology & carcinogenesisPharmacogenomicsChemoresistance
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Polymorphism of the Transcription Factor 7-Like 2 Gene (TCF7L2) Interacts with Obesity on Type-2 Diabetes in the PREDIMED Study Emphasizing the Heter…

2016

Nutrigenetic studies analyzing gene-diet interactions of the TCF7L2-rs7903146 C > T polymorphism on type-2 diabetes (T2D) have shown controversial results. A reason contributing to this may be the additional modulation by obesity. Moreover, TCF7L2-rs7903146 is one of the most influential variants in T2D-genetic risk scores (GRS). Therefore, to increase the predictive value (PV) of GRS it is necessary to first see whether the included polymorphisms have heterogeneous effects. We comprehensively investigated gene-obesity interactions between the TCF7L2-rs7903146 C > T polymorphism on T2D (prevalence and incidence) and analyzed other T2D-polymorphisms in a sub-sample. We studied 7018 PREDIMED …

0301 basic medicineOncologyMaleobesityendocrine system diseasesType 2 diabetestype-2 diabetesTranscription Factor 7-Like 2Dieta mediterrània0302 clinical medicineNutrigenomicsRisk FactorsPrevalenceTCF7L2-predictive valueDiseaseLongitudinal StudiesProspective StudiesGenetic riskGeneticsAged 80 and overINSULIN-RESISTANCEBioquímica y tecnologíaNutrition and DieteticsDiabetisIncidenceMiddle AgedTraitsMEDITERRANEAN DIETBiochemistry and technologyObesitatTRIALFemalelcsh:Nutrition. Foods and food supplyTranscription Factor 7-Like 2 ProteinAdultGenetic Markersmedicine.medical_specialtyendocrine systemPopulationBODY-FATlcsh:TX341-641030209 endocrinology & metabolismMASSBioquímica i biotecnologiaArticleAssociation03 medical and health sciencesGenetic HeterogeneityPredictive Value of TestsInternal medicineDiabetes mellitusmedicineHumansGenetic Predisposition to DiseaseGeneAgedPolymorphism Geneticbusiness.industryCommon variantsPreventionnutritional and metabolic diseasesGenetic VariationPREDIMED studymedicine.disease2072-6643WeightPredimedObesityTCF7L2TCF7L2; type-2 diabetes; obesity; T2D-genetic risk scores; TCF7L2-predictive value; PREDIMED study030104 developmental biologyDiabetes Mellitus Type 2Susceptibility locibusinessTCF7L2T2D-genetic risk scoresFood Science
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Molecular landscape of esophageal cancer: implications for early detection and personalized therapy

2018

Esophageal cancer (EC) is one of the most lethal cancers and a public health concern worldwide, owing to late diagnosis and lack of efficient treatment. Esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) are main histopathological subtypes of EC that show striking differences in geographical distribution, possibly due to differences in exposure to risk factors and lifestyles. ESCC and EAC are distinct diseases in terms of cell of origin, epidemiology, and molecular architecture of tumor cells. Past efforts aimed at translating potential molecular candidates into clinical practice proved to be challenging, underscoring the need for identifying novel candidates for …

0301 basic medicineOncologymedicine.medical_specialtyEsophageal Neoplasmsmedicine.medical_treatmentEarly detectionGenomicsDiseaseAdenocarcinomaGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineHistory and Philosophy of ScienceInternal medicineEpidemiologyHumansMedicineEarly Detection of CancerEpigenomicsbusiness.industryGeneral NeuroscienceEpigenomeImmunotherapyEsophageal cancermedicine.disease030104 developmental biology030220 oncology & carcinogenesisMutationEsophageal Squamous Cell CarcinomabusinessAnnals of the New York Academy of Sciences
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