0000000000117003

AUTHOR

Kaisa Silander

showing 3 related works from this author

A genome-wide association study of monozygotic twin-pairs suggests a locus related to variability of serum high-density lipoprotein cholesterol

2012

Serum lipid levels have been associated with cardiovascular diseases, metabolic syndrome and type II diabetes (Kannel et al., 1961; Miller & Miller, 1975; Pilia et al., 2006). Variation in lipids levels is highly influenced by heritable factors (Friedlander et al., 1997) and 95 loci have already been associated with levels of high density lipoprotein (HDL) cholesterol, low density lipoprotein (LDL) cholesterol, triglycerides (TG) and total cholesterol (TC) in numerous study samples and replicated in various populations using genome-wide approaches (Aulchenko et al., 2008; Kathiresan et al., 2008; Kooner et al., 2008; Teslovich et al., 2010; Willer et al., 2008). However, the genetic associa…

AdultNetherlands Twin Register (NTR)Candidate genegenetiikkaPopulationkolesteroliMonozygotic twinLocus (genetics)Genome-wide association studyBiologyPolymorphism Single NucleotideArticle03 medical and health sciences0302 clinical medicineGenetic variation/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_HumansAlleleGene–environment interactioneducationAllelesGenetics (clinical)Aged030304 developmental biologyAged 80 and overGenetics0303 health scienceseducation.field_of_studyperinnöllisyystiedeCholesterol HDLGTPase-Activating ProteinsObstetrics and Gynecologyta3141Twins MonozygoticMiddle AgedIntrons3. Good healthGenetic LociPediatrics Perinatology and Child HealthFemaleGene-Environment InteractionApolipoprotein A-II030217 neurology & neurosurgeryGenome-Wide Association Study
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TRIB1 constitutes a molecular link between regulation of sleep and lipid metabolism in humans.

2012

Epidemiological studies show association between sleep duration and lipid metabolism. In addition, inactivation of circadian genes induces insulin resistance and hyperlipidemia. We hypothesized that sleep length and lipid metabolism are partially controlled by the same genes. We studied the association of total sleep time (TST) with 60 genetic variants that had previously been associated with lipids. The analyses were performed in a Finnish population-based sample (N = 6334) and replicated in 2189 twins. Finally, RNA expression from mononuclear leucocytes was measured in 10 healthy volunteers before and after sleep restriction. The genetic analysis identified two variants near TRIB1 gene th…

MaleTwinsBlood lipidsGene ExpressionCohort Studies0302 clinical medicineGene FrequencySleep and metabolismHomeostasisgeneticsta515FinlandSlow-wave sleepSleep restriction2. Zero hunger0303 health sciencesIntracellular Signaling Peptides and Proteinsta3141Middle AgedSleep in non-human animals3142 Public health care science environmental and occupational health3. Good healthPsychiatry and Mental healthFemaleOriginal Articleepidemiologymedicine.symptomAdultmedicine.medical_specialtyGenotypeSNPDisorders of Excessive SomnolenceBiologyProtein Serine-Threonine Kinasesta3111Polymorphism Single Nucleotidelipids03 medical and health sciencesCellular and Molecular NeuroscienceInternal medicinemedicineHumansCircadian rhythmsleepBiological PsychiatryAllelesGenetic Association StudiesTriglycerides030304 developmental biologyAgedCholesterol HDLGenetic VariationLipid metabolismCholesterol LDLLipid Metabolismta3124Sleep deprivationEndocrinologySleep Deprivationmetabolism030217 neurology & neurosurgeryTranslational psychiatry
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Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium

2016

Background Data are limited on genome-wide association studies (GWAS) for incident coronary heart disease (CHD). Moreover, it is not known whether genetic variants identified to date also associate with risk of CHD in a prospective setting. Methods We performed a two-stage GWAS analysis of incident myocardial infarction (MI) and CHD in a total of 64,297 individuals (including 3898 MI cases, 5465 CHD cases). SNPs that passed an arbitrary threshold of 5×10−6 in Stage I were taken to Stage II for further discovery. Furthermore, in an analysis of prognosis, we studied whether known SNPs from former GWAS were associated with total mortality in individuals who experienced MI during follow-up. Res…

Male0301 basic medicineOncologyPREDICTIONMyocardial Infarctionlcsh:MedicineGenome-wide association studyCoronary Artery DiseaseCardiovascular MedicineSUSCEPTIBILITY030204 cardiovascular system & hematologyCardiovascularBioinformaticsincident myocardial infarctionCohort StudiesCoronary artery diseaseMathematical and Statistical Techniques0302 clinical medicineDESIGNMedicine and Health Sciences2.1 Biological and endogenous factorsProspective StudiesMyocardial infarctionAetiologyCooperative Behaviorlcsh:ScienceProspective cohort studyRISKscreening and diagnosisMultidisciplinaryResearch Support Non-U.S. Gov'tSingle NucleotideGenomicsMiddle Aged3. Good healthMultidisciplinary SciencesDetectionCHROMOSOME 9P21Heart DiseaseResearch DesignCardiovascular DiseasesCARDIOVASCULAR-DISEASEPhysical SciencesScience & Technology - Other TopicsFemaleStatistics (Mathematics)4.2 Evaluation of markers and technologiesResearch ArticleCohort studymedicine.medical_specialtyGeneral Science & TechnologyCardiologySingle-nucleotide polymorphismResearch and Analysis MethodsGenome ComplexityPolymorphism Single Nucleotide03 medical and health sciencescoronary hearth diseaseInternal medicineMD MultidisciplinaryGenome-Wide Association StudiesGeneticsJournal ArticlemedicineHumansSNPGenetic Predisposition to DiseasePolymorphismStatistical MethodsHeart Disease - Coronary Heart DiseaseMETAANALYSISAgedGenetic associationta112Science & Technologybusiness.industryPreventionlcsh:RHuman GenomeBiology and Life SciencesComputational BiologyHuman GeneticsGenome AnalysisROTTERDAMmedicine.diseaseIntronsGood Health and Well Being030104 developmental biologyGenetic LociGenetics of Diseaselcsh:Q3111 BiomedicinebusinessMathematicsMeta-AnalysisGenome-Wide Association StudyPLOS ONE
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