0000000000408124

AUTHOR

Martin Den Heijer

0000-0003-3620-5617

showing 3 related works from this author

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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Association Between Chromosome 9p21 Variants and the Ankle-Brachial Index Identified by a Meta-Analysis of 21 Genome-Wide Association Studies

2012

Background— Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts. Methods and Results— Continuous ABI and PAD (ABI ≤0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fi…

Malegenetic associationGenome-wide association studyAetiology screening and detection [ONCOL 5]030204 cardiovascular system & hematologyBioinformaticsCohort Studies0302 clinical medicineRisk FactorsGenotypeCARDIOVASCULAR RISK-FACTORSInternational HapMap ProjectGenetics (clinical)POPULATIONGeneticsAged 80 and overPeripheral Vascular Diseases0303 health scienceseducation.field_of_studyAge FactorsMiddle AgedPhenotypeperipheral vascular diseaseMeta-analysiscardiovascular system/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingCORONARY-ARTERY-DISEASEFemaleCardiology and Cardiovascular MedicineChromosomes Human Pair 9AdultSUSCEPTIBILITY LOCIGenotypePopulationHapMap ProjectBiologyPolymorphism Single NucleotideArticleMolecular epidemiology [NCEBP 1]03 medical and health sciencesSex FactorsSDG 3 - Good Health and Well-beingGeneticscohort studyHumansAnkle Brachial Indexcardiovascular diseasesAlleleeducationHealth aging / healthy living Cardiovascular diseases [IGMD 5]AllelesMolecular epidemiology Aetiology screening and detection [NCEBP 1]030304 developmental biologyGenetic associationAgedCyclin-Dependent Kinase Inhibitor p15ABDOMINAL AORTIC-ANEURYSMcohort study ; genetic association ; genome-wide association study ; meta-analysis ; peripheral vascular diseasegenome-wide association studyMORTALITYChromosomeGENEmeta-analysisbody regionsLogistic ModelsMYOCARDIAL-INFARCTIONATHEROSCLEROSISSEQUENCE VARIANThuman activities
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