2018
Genome-wide association analysis identifies a meningioma risk locus at 11p15.5
Claus EB, Cornish AJ, Broderick P, Schildkraut JM, Dobbins SE, Holroyd A, Calvocoressi L, Lu L, Hansen HM, Smirnov I, Walsh KM, Schramm J, Hoffmann P, Nöthen MM, Jöckel KH, Swerdlow A, Larsen SB, Johansen C, Simon M, Bondy M, Wrensch M, Houlston RS, Wiemels JL. Genome-wide association analysis identifies a meningioma risk locus at 11p15.5. Neuro-Oncology 2018, 20: 1485-1493. PMID: 29762745, PMCID: PMC6176799, DOI: 10.1093/neuonc/noy077.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorCase-Control StudiesChromosomes, Human, Pair 11FemaleFollow-Up StudiesGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumMaleMeningeal NeoplasmsMeningiomaMiddle AgedPolymorphism, Single NucleotidePrognosisRisk FactorsYoung AdultConceptsGenome-wide association studiesRisk lociGenome-wide association analysisSusceptibility lociNeural crest-derived structuresSignificant heritable basisNumber of genesIndependent sample seriesNew susceptibility lociHeritable basisGenetic basisGenome ProjectAssociation studiesAssociation analysisLinkage disequilibriumLociMeningioma developmentReference panelPolygenic modelCentral roleUK10K dataAdult brain tumorsRIC8AMeningeal coveringsGenes
2011
Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data
Wang JH, Pappas D, De Jager PL, Pelletier D, de Bakker PI, Kappos L, Polman CH, Australian and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene), Chibnik LB, Hafler DA, Matthews PM, Hauser SL, Baranzini SE, Oksenberg JR. Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data. Genome Medicine 2011, 3: 3. PMID: 21244703, PMCID: PMC3092088, DOI: 10.1186/gm217.Peer-Reviewed Original ResearchGenome-wide association studiesGenome-wide association dataDAVID functional annotation toolMS geneticsAssociation dataFunctional annotation toolAvailable genome-wide association dataRecent genome-wide association studiesPathway enrichment analysisNovel genetic associationsNervous system developmentPolygenic modelCumulative genetic riskGene OntologyGWAS datasetsEnrichment analysisGenetic riskAssociation studiesDisease locusCell adhesionSignificant enrichmentNeuronal signalingAnalysis of covarianceIonotropic glutamate receptorsGenetic association
2010
Single Nucleotide Polymorphisms in the Wnt and BMP Pathways and Colorectal Cancer Risk in a Spanish Cohort
Fernández-Rozadilla C, de Castro L, Clofent J, Brea-Fernández A, Bessa X, Abulí A, Andreu M, Jover R, Xicola R, Llor X, Castells A, Castellví-Bel S, Carracedo A, Ruiz-Ponte C. Single Nucleotide Polymorphisms in the Wnt and BMP Pathways and Colorectal Cancer Risk in a Spanish Cohort. PLOS ONE 2010, 5: e12673. PMID: 20844743, PMCID: PMC2936577, DOI: 10.1371/journal.pone.0012673.Peer-Reviewed Original ResearchConceptsBMP pathwayLow-penetrance variantsNew susceptibility lociNew risk variantsCandidate gene studiesCarcinogenesis-related pathwaysPathway-based studiesRegulatory SNPsSingle nucleotide polymorphismsAssociation studiesCase-control association studySusceptibility lociGenesSusceptibility variantsRisk variantsNucleotide polymorphismsComplex diseasesSigns of associationPolygenic modelPathwayWntHaplotypic analysisGenetic susceptibilityNatural strategyVariantsColorectal Cancer Susceptibility Quantitative Trait Loci in Mice as a Novel Approach to Detect Low-Penetrance Variants in Humans: A Two-Stage Case-Control Study
Fernández-Rozadilla C, Tarrío R, Clofent J, de Castro L, Brea-Fernández A, Bessa X, Abulí A, Andreu M, Jover R, Xicola R, Llor X, Castells A, Castellví-Bel S, Carracedo A, Ruiz-Ponte C, Association F. Colorectal Cancer Susceptibility Quantitative Trait Loci in Mice as a Novel Approach to Detect Low-Penetrance Variants in Humans: A Two-Stage Case-Control Study. Cancer Epidemiology Biomarkers & Prevention 2010, 19: 619-623. PMID: 20142256, DOI: 10.1158/1055-9965.epi-09-1175.Peer-Reviewed Original ResearchConceptsQuantitative trait lociLow-penetrance variantsTrait lociSingle nucleotide polymorphismsSusceptibility quantitative trait lociMouse quantitative trait lociHuman candidate genesSyntenic regionsGene selection strategyGenetic basisCyr61 geneCandidate genesPenetrant mutationsGenesLociPolygenic modelCancer susceptibilityEarly CRC detectionColorectal cancer susceptibilityGenetic modelingCRC riskPolymorphismColorectal cancerVariantsCRC detection
1996
Production of congenic mouse strains carrying genomic intervals containing SLE-susceptibility genes derived from the SLE-prone NZM2410 strain
Morel L, Yu Y, Blenman KR, Caldwell RA, Wakeland EK. Production of congenic mouse strains carrying genomic intervals containing SLE-susceptibility genes derived from the SLE-prone NZM2410 strain. Mammalian Genome 1996, 7: 335-339. PMID: 8661718, DOI: 10.1007/s003359900098.Peer-Reviewed Original ResearchConceptsGenomic intervalsSLE susceptibility genesSingle genomic intervalComplex polygenic traitCongenic strainsSLE susceptibility lociGenetic interactionsPositional cloningPolygenic traitGenetic crossesInterval mappingPhenotypic dataGenetic analysisNZM2410 mouse modelNZM2410 strainComponent phenotypesChromosome 17Congenic miceGenesMarker-assisted selection protocolSusceptibility allelesPolygenic modelComplex pathogenic mechanismsSelection protocolPathogenic mechanisms
1976
Genetic analyses of pyloric stenosis suggesting a specific maternal effect.
Kidd K, Spence M. Genetic analyses of pyloric stenosis suggesting a specific maternal effect. Journal Of Medical Genetics 1976, 13: 290. PMID: 986474, PMCID: PMC1013418, DOI: 10.1136/jmg.13.4.290.Peer-Reviewed Original Research
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