0000000000267491

AUTHOR

Maria Krestyaninova

0000-0002-8705-8111

showing 4 related works from this author

PASSIM – an open source software system for managing information in biomedical studies

2007

Abstract Background One of the crucial aspects of day-to-day laboratory information management is collection, storage and retrieval of information about research subjects and biomedical samples. An efficient link between sample data and experiment results is absolutely imperative for a successful outcome of a biomedical study. Currently available software solutions are largely limited to large-scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but often implies sufficient investment of time, effort and funds, which are not always available. There is a clear need for lightweig…

Information managementBiomedical ResearchDatabases FactualMedical Records Systems ComputerizedComputer scienceBiomedical EngineeringInformation Storage and RetrievalSample (statistics)lcsh:Computer applications to medicine. Medical informaticsBiochemistryWorld Wide WebUser-Computer InterfaceDocumentationSoftwareArtificial IntelligenceStructural BiologyConfidentialitylcsh:QH301-705.5Molecular BiologyClinical Trials as Topicbusiness.industryApplied MathematicsSubject (documents)Computer Science ApplicationsManagement information systemslcsh:Biology (General)Database Management Systemslcsh:R858-859.7Programming LanguagesUser interfacebusinessSoftware
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Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research

2015

A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of large-scale studies. A prerequisite for this effort is to be able to search and access phenotypic, clinical and other information about samples that are currently stored at biobanks in an integrated manner. However, privacy issues together with heterogeneous information systems and the lack of agreed-upon vocabularies have made specimen searching across multiple biobanks extremely challenging. We describe three case studies where we have linked samples and sample descriptions in order to facilitate glo…

0301 basic medicineNetherlands Twin Register (NTR)Databases FactualComputer scienceInformation Storage and RetrievalSample (statistics)Ontology (information science)Endocrinology and DiabetesBioinformaticscomputer.software_genredata archivesArticle03 medical and health sciencesSDG 17 - Partnerships for the GoalsSDG 3 - Good Health and Well-beingGenetics/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_Use casebiomedical dataGenetics (clinical)Biological Specimen BanksGenetics & Heredity0604 GeneticsBioinformatics (Computational Biology)ta112ta1184/dk/atira/pure/sustainabledevelopmentgoals/partnershipsData scienceBiobank3. Good healthcross-biotank research030104 developmental biologyProject planningExchange of informationDisparate systemPrivacyBioinformatik (beräkningsbiologi)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingclinical datacomputerData integrationEuropean Journal of Human Genetics
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A common biological basis of obesity and nicotine addiction

2013

Contains fulltext : 128630.pdf (Publisher’s version ) (Open Access) Smoking influences body weight such that smokers weigh less than non-smokers and smoking cessation often leads to weight increase. The relationship between body weight and smoking is partly explained by the effect of nicotine on appetite and metabolism. However, the brain reward system is involved in the control of the intake of both food and tobacco. We evaluated the effect of single-nucleotide polymorphisms (SNPs) affecting body mass index (BMI) on smoking behavior, and tested the 32 SNPs identified in a meta-analysis for association with two smoking phenotypes, smoking initiation (SI) and the number of cigarettes smoked …

obesityFOOD-INTAKETAG Consortiummedicine.medical_treatmentOxford-GSK ConsortiumLOCIIcelandAetiology screening and detection [ONCOL 5]VARIANTS3124 Neurology and psychiatryNicotine0302 clinical medicineDEPENDENCE030212 general & internal medicineAge of OnsetENGAGE consortiumPOPULATIONAddiction; Body Mass Index; Nicotine dependence; Smokingmedia_commonPsychiatry2. Zero hunger0303 health scienceseducation.field_of_studyASSOCIATIONTobacco Use DisorderDSM-VCANCER3142 Public health care science environmental and occupational health3. Good healthPsychiatry and Mental healthMeta-analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingOriginal ArticleaddictionLife Sciences & Biomedicinemedicine.drugmedicine.medical_specialtymedia_common.quotation_subjectPopulationbody mass indexPolymorphism Single Nucleotidesmoking03 medical and health sciencesCellular and Molecular NeuroscienceSDG 3 - Good Health and Well-beingInternal medicinemedicineHumansSMOKING-BEHAVIORnicotine dependencePsychiatryeducationBiological PsychiatryMolecular epidemiology Aetiology screening and detection [NCEBP 1]030304 developmental biologyScience & Technologybusiness.industryAddictionAppetitemedicine.diseaseObesityBODY-MASS INDEXBehavior AddictiveEndocrinologySmoking cessationbusinessBody mass indexTranslational Psychiatry
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Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior

2010

Contains fulltext : 89305.pdf (Publisher’s version ) (Closed access) Smoking is a common risk factor for many diseases. We conducted genome-wide association meta-analyses for the number of cigarettes smoked per day (CPD) in smokers (n = 31,266) and smoking initiation (n = 46,481) using samples from the ENGAGE Consortium. In a second stage, we tested selected SNPs with in silico replication in the Tobacco and Genetics (TAG) and Glaxo Smith Kline (Ox-GSK) consortia cohorts (n = 45,691 smokers) and assessed some of those in a third sample of European ancestry (n = 9,040). Variants in three genomic regions associated with CPD (P < 5 x 10(-8)), including previously identified SNPs at 15q25 repre…

MaleNetherlands Twin Register (NTR)Lung NeoplasmsSingle-nucleotide polymorphismGenome-wide association studyAetiology screening and detection [ONCOL 5]Receptors NicotinicGenetic analysisArticleMolecular epidemiology [NCEBP 1]Cohort Studies03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingOdds RatioGeneticsmedicine/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_HumansCYP2A6Lung cancerAlleles030304 developmental biologyGenetics0303 health sciencesbiologyCHRNA6CHRNA5Hormonal regulation [IGMD 6]SmokingGenetic VariationGenomicsTobacco Use DisorderOdds ratiomedicine.disease3. Good healthPhenotypeEvaluation of complex medical interventions [NCEBP 2]genome-wide association nicotinic acetylcholine-receptors lung-cancer susceptibility locus molecular-genetics heavy smoking adult twins dependence genes snpsbiology.protein/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleAryl Hydrocarbon Hydroxylases030217 neurology & neurosurgeryGenome-Wide Association Study
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