0000000000088124

AUTHOR

Luisa Bernardinelli

showing 6 related works from this author

New susceptibility locus for coronary artery disease on chromosome 3q22.3

2009

We present a three-stage analysis of genome-wide SNP data in 1,222 German individuals with myocardial infarction and 1,298 controls, in silico replication in three additional genome-wide datasets of coronary artery disease (CAD) and subsequent replication in approximately 25,000 subjects. We identified one new CAD risk locus on 3q22.3 in MRAS (P = 7.44 x 10(-13); OR = 1.15, 95% CI = 1.11-1.19), and suggestive association with a locus on 12q24.31 near HNF1A-C12orf43 (P = 4.81 x 10(-7); OR = 1.08, 95% CI = 1.05-1.11).

medicine.medical_specialtyQuantitative Trait LociLocus (genetics)Single-nucleotide polymorphismGenome-wide association studyCoronary Artery DiseaseQuantitative trait locusBiologyBioinformaticsPolymorphism Single NucleotideArticleCoronary artery diseaseGermanyInternal medicineGeneticsmedicineHumansGenetic Predisposition to DiseaseHepatocyte Nuclear Factor 1-alphaMyocardial infarctionCase-control studyChromosomemedicine.diseaseCase-Control Studiesras ProteinsCardiologyChromosomes Human Pair 3Genome-Wide Association Study
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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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Low frequency and rare coding variation contributes to multiple sclerosis risk

2018

AbstractMultiple sclerosis is a common, complex neurological disease, where almost 20% of risk heritability can be attributed to common genetic variants, including >230 identified by genome-wide association studies (Patsopoulos et al., 2017). Multiple strands of evidence suggest that the majority of the remaining heritability is also due to the additive effects of individual variants, rather than epistatic interactions between these variants, or mutations exclusive to individual families. Here, we show in 68,379 cases and controls that as much as 5% of this heritability is explained by low-frequency variation in gene coding sequence. We identify four novel genes driving MS risk independe…

Genetics0303 health sciencesLinkage disequilibriumMultiple sclerosisDiseaseBiologyHeritabilitymedicine.disease3. Good health03 medical and health sciences0302 clinical medicinemedicineEpistasisCoding regionGene030217 neurology & neurosurgery030304 developmental biologyGenetic association
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The Multiple Sclerosis Genomic Map: Role of peripheral immune cells and resident microglia in susceptibility

2017

Abstract:We assembled and analyzed genetic data of 47,351 multiple sclerosis (MS) subjects and 68,284 control subjects and establish a reference map of the genetic architecture of MS that includes 200 autosomal susceptibility variants outside the major histocompatibility complex (MHC), one chromosome X variant, and 32 independent associations within the extended MHC. We used an ensemble of methods to prioritize up to 551 potentially associated MS susceptibility genes, that implicate multiple innate and adaptive pathways distributed across the cellular components of the immune system. Using expression profiles from purified human microglia, we do find enrichment for MS genes in these brain -…

0303 health sciencesMicrogliaMultiple sclerosisCentral nervous systemBiologymedicine.diseaseMajor histocompatibility complex03 medical and health sciences0302 clinical medicineImmune systemmedicine.anatomical_structureAutoimmune ProcessImmunologymedicinebiology.proteinGene030217 neurology & neurosurgeryX chromosome030304 developmental biology
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IL12A, MPHOSPH9/CDK2AP1 and RGS1 are novel multiple sclerosis susceptibility loci

2010

A recent meta-analysis identified seven single-nucleotide polymorphisms (SNPs) with suggestive evidence of association with multiple sclerosis (MS). We report an analysis of these polymorphisms in a replication study that includes 8,085 cases and 7,777 controls. A meta-analysis across the replication collections and a joint analysis with the discovery data set were performed. The possible functional consequences of the validated susceptibility loci were explored using RNA expression data. For all of the tested SNPs, the effect observed in the replication phase involved the same allele and the same direction of effect observed in the discovery phase. Three loci exceeded genome-wide significa…

Multiple SclerosisImmunologyGenome-wide association studyLocus (genetics)Single-nucleotide polymorphismBiologyPolymorphism Single NucleotideArticleInterleukin-12 Subunit p35Cell Line03 medical and health sciences0302 clinical medicineIL12AGeneticsmedicineHumansGenetic Predisposition to DiseaseAlleleGenetics (clinical)Cell Proliferation030304 developmental biologyGenetics0303 health sciencesTumor Suppressor ProteinsMultiple sclerosisCell cyclemedicine.disease3. Good healthCeliac DiseaseCase-Control StudiesImmunologyExpression quantitative trait lociLeukocytes MononuclearRGS Proteins030217 neurology & neurosurgeryGenes & Immunity
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Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis.

2013

International audience; Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10(-4)). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10(-8)), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variant…

Multiple SclerosisGenotype[SDV]Life Sciences [q-bio]European Continental Ancestry GroupGenome-wide association studyCLEC16ABiologymultiple sclerosisMajor histocompatibility complexPolymorphism Single NucleotideArticleWhite People03 medical and health sciences0302 clinical medicineResearch Support N.I.H. ExtramuralGene FrequencyPolymorphism (computer science)Journal ArticleGeneticsmedicineHumansGenetic Predisposition to DiseaseAlleleGenotypingAllele frequency030304 developmental biologyGenetics0303 health sciencesResearch Support Non-U.S. Gov'tMultiple sclerosisChromosome MappingGenetic Variationmedicine.disease3. Good healthGenetic Locibiology.protein030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyGenome-Wide Association Study
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