2024
Classifying pathogenicity of TPM1 variants of unknown significance using in vitro and in silico approaches
Campbell S, Creso J, Firlar I, Halder S, Lehman W, Rynkiewicz M, Moore J. Classifying pathogenicity of TPM1 variants of unknown significance using in vitro and in silico approaches. Journal Of Cardiac Failure 2024, 30: s3. DOI: 10.1016/j.cardfail.2023.11.005.Peer-Reviewed Original ResearchHypertrophic cardiomyopathyUnknown significanceContractile forceOngoing clinical challengeFirst-degree relativesGenetic testing yieldSlowing of relaxationViral exposureContractile weaknessClinical challengeHypercontractile phenotypeHCM mutationsMyofilament activityHeart tissueMild phenotypeFurther studiesContractile behaviorSignificant increaseHEHTTesting yieldDCM mutationsMinimal effectVUSPathogenicityPhenotype
2020
Temporal Trend of Age at Diagnosis in Hypertrophic Cardiomyopathy
Canepa M, Fumagalli C, Tini G, Vincent-Tompkins J, Day SM, Ashley EA, Mazzarotto F, Ware JS, Michels M, Jacoby D, Ho CY, Olivotto I, Investigators T. Temporal Trend of Age at Diagnosis in Hypertrophic Cardiomyopathy. Circulation Heart Failure 2020, 13: e007230-e007230. PMID: 32894986, PMCID: PMC7497482, DOI: 10.1161/circheartfailure.120.007230.Peer-Reviewed Original ResearchConceptsHypertrophic cardiomyopathyHCM diagnosisSarcomeric Human Cardiomyopathy RegistryGenetic testingHeart failure symptomsObstructive hypertrophic cardiomyopathyNon-US sitesEra of diagnosisLikely pathogenic variantsClinical characteristicsOlder patientsFamilial hypertrophic cardiomyopathyHCM populationVentricular hypertrophyFemale ratioFailure symptomsSporadic diseasePathogenic variantsAdvanced diagnostic toolsDiagnosisTemporal trendsStable maleMild phenotypeAgePatients
2018
IRF2BPL Is Associated with Neurological Phenotypes
Marcogliese P, Shashi V, Spillmann R, Stong N, Rosenfeld J, Koenig M, Martínez-Agosto J, Herzog M, Chen A, Dickson P, Lin H, Vera M, Salamon N, Graham J, Ortiz D, Infante E, Steyaert W, Dermaut B, Poppe B, Chung H, Zuo Z, Lee P, Kanca O, Xia F, Yang Y, Smith E, Jasien J, Kansagra S, Spiridigliozzi G, El-Dairi M, Lark R, Riley K, Koeberl D, Golden-Grant K, Diseases P, Callens S, Coucke P, Dermaut B, Hemelsoet D, Poppe B, Steyaert W, Terryn W, Van Coster R, Network U, Adams D, Alejandro M, Allard P, Azamian M, Bacino C, Balasubramanyam A, Barseghyan H, Batzli G, Beggs A, Behnam B, Bican A, Bick D, Birch C, Bonner D, Boone B, Bostwick B, Briere L, Brown D, Brush M, Burke E, Burrage L, Chen S, Clark G, Coakley T, Cogan J, Cooper C, Cope H, Craigen W, D’Souza P, Davids M, Dayal J, Dell’Angelica E, Dhar S, Dillon A, Dipple K, Donnell-Fink L, Dorrani N, Dorset D, Douine E, Draper D, Eckstein D, Emrick L, Eng C, Eskin A, Esteves C, Estwick T, Ferreira C, Fogel B, Friedman N, Gahl W, Glanton E, Godfrey R, Goldstein D, Gould S, Gourdine J, Groden C, Gropman A, Haendel M, Hamid R, Hanchard N, Handley L, Herzog M, Holm I, Hom J, Howerton E, Huang Y, Jacob H, Jain M, Jiang Y, Johnston J, Jones A, Kohane I, Krasnewich D, Krieg E, Krier J, Lalani S, Lau C, Lazar J, Lee B, Lee H, Levy S, Lewis R, Lincoln S, Lipson A, Loo S, Loscalzo J, Maas R, Macnamara E, MacRae C, Maduro V, Majcherska M, Malicdan M, Mamounas L, Manolio T, Markello T, Marom R, Martínez-Agosto J, Marwaha S, May T, McConkie-Rosell A, McCormack C, McCray A, Might M, Moretti P, Morimoto M, Mulvihill J, Murphy J, Muzny D, Nehrebecky M, Nelson S, Newberry J, Newman J, Nicholas S, Novacic D, Orange J, Pallais J, Palmer C, Papp J, Parker N, Pena L, Phillips J, Posey J, Postlethwait J, Potocki L, Pusey B, Reuter C, Robertson A, Rodan L, Rosenfeld J, Sampson J, Samson S, Schoch K, Schroeder M, Scott D, Sharma P, Shashi V, Signer R, Silverman E, Sinsheimer J, Smith K, Spillmann R, Splinter K, Stoler J, Stong N, Sullivan J, Sweetser D, Tifft C, Toro C, Tran A, Urv T, Valivullah Z, Vilain E, Vogel T, Wahl C, Walley N, Walsh C, Ward P, Waters K, Westerfield M, Wise A, Wolfe L, Worthey E, Yamamoto S, Yang Y, Yu G, Zastrow D, Zheng A, Yamamoto S, Wangler M, Mirzaa G, Hemelsoet D, Lee B, Nelson S, Goldstein D, Bellen H, Pena L. IRF2BPL Is Associated with Neurological Phenotypes. American Journal Of Human Genetics 2018, 103: 245-260. PMID: 30057031, PMCID: PMC6081494, DOI: 10.1016/j.ajhg.2018.07.006.Peer-Reviewed Original ResearchMissense variantsRange of phenotypesNeurological phenotypeProper neuronal functionNonsense variantPopulation genomicsModel organismsTranscriptional regulatorsFunction allelesPartial knockdownEctopic expressionRNA interferenceNonsense allelesBiological functionsMendelian diseasesDamaging heterozygous variantsGenesIRF2BPLNeuronal functionPhenotypeAdditional individualsComplete lossNervous systemMild phenotypeAlleles
2014
Assessment of HbF QTLs Affecting Disease Severity and Genetic Analysis in Patients Homozygous for Codon 8 (–AA) β0-Thalassemia Mutation
Jiang Z, Huang S, Luo H, Akar N, Basak A, Al-Allawi N, Unal S, Gumruk F, Davis L, Morrison T, Campbell A, Gallagher P, Forget B, Steinberg M, Chui D. Assessment of HbF QTLs Affecting Disease Severity and Genetic Analysis in Patients Homozygous for Codon 8 (–AA) β0-Thalassemia Mutation. Blood 2014, 124: 2690. DOI: 10.1182/blood.v124.21.2690.2690.Peer-Reviewed Original ResearchQuantitative trait lociGene clusterIntergenic regionHbF quantitative trait lociΓ-globin gene expressionKb intergenic regionSevere phenotypeMild phenotypeHBS1L-MYB intergenic regionΒ-globin gene clusterGenome-wide SNP arraysMild disease phenotypeDisease phenotypeMinor alleleWhole-genome sequencingTrait lociHPFH mutationNovel SNPsGenetic analysisSNP arrayGene expressionΒ-hemoglobinopathiesGenome sequencingQTL genotypesWhole-exome sequencingDnmt3a and Dnmt3b Have Overlapping and Distinct Functions in Hematopoietic Stem Cells
Challen G, Sun D, Mayle A, Jeong M, Luo M, Rodriguez B, Mallaney C, Celik H, Yang L, Xia Z, Cullen S, Berg J, Zheng Y, Darlington G, Li W, Goodell M. Dnmt3a and Dnmt3b Have Overlapping and Distinct Functions in Hematopoietic Stem Cells. Cell Stem Cell 2014, 15: 350-364. PMID: 25130491, PMCID: PMC4163922, DOI: 10.1016/j.stem.2014.06.018.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsApoptosisbeta CateninCell DifferentiationCell ProliferationCpG IslandsDNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3AEpigenesis, GeneticGene Expression Regulation, DevelopmentalGene Regulatory NetworksHematopoietic Stem CellsIsoenzymesMice, Inbred C57BLMice, KnockoutNeoplasmsConceptsHematopoietic stem cellsDe novo methylation patternsAdult hematopoietic stem cellsHSC fate decisionsLoss of Dnmt3bStem cellsΒ-catenin signalingFate decisionsEpigenetic regulationMethylation patternsCpG islandsLifelong productionDistinct functionsHSC differentiationConditional inactivationDNMT3BHSC expansionDifferentiation blockSevere blockDistinct rolesImpaired differentiationDifferentiationMild phenotypeRegulationCells
2001
Mutational Analysis and Genotype-Phenotype Correlation of the PHEX Gene in X-Linked Hypophosphatemic Rickets
Holm I, Nelson A, Robinson B, Mason R, Marsh D, Cowell C, Carpenter T. Mutational Analysis and Genotype-Phenotype Correlation of the PHEX Gene in X-Linked Hypophosphatemic Rickets. The Journal Of Clinical Endocrinology & Metabolism 2001, 86: 3889-3899. PMID: 11502829, DOI: 10.1210/jcem.86.8.7761.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAmino Acid SubstitutionBone DiseasesChildDNA Mutational AnalysisExonsFamilyFemaleGenotypeHumansHypophosphatemia, FamilialMaleMiddle AgedMutationMutation, MissenseNuclear FamilyPhenotypePHEX Phosphate Regulating Neutral EndopeptidaseProteinsSequence DeletionTooth DiseasesConceptsHypophosphatemic ricketsRickets patientsHypophosphatemic rickets patientsSevere skeletal diseasePHEX mutationsSeverity of diseaseFamily membersGenotype-phenotype correlationPrognostic valueFamily historyPatientsPostpubertal malesEarly identificationSkeletal diseaseGenetic testingRicketsTruncating mutationsDental phenotypeAffected individualsMild phenotypePHEX geneDiseaseMissense mutationsDifferent mutationsSeverity
1999
DLX‐1, DLX‐2, and DLX‐5 expression define distinct stages of basal forebrain differentiation
Eisenstat D, Liu J, Mione M, Zhong W, Yu G, Anderson S, Ghattas I, Puelles L, Rubenstein J. DLX‐1, DLX‐2, and DLX‐5 expression define distinct stages of basal forebrain differentiation. The Journal Of Comparative Neurology 1999, 414: 217-237. PMID: 10516593, DOI: 10.1002/(sici)1096-9861(19991115)414:2<217::aid-cne6>3.0.co;2-i.Peer-Reviewed Original ResearchMeSH Keywords3T3 CellsAnimalsAntibody SpecificityBasal GangliaCell DifferentiationCell NucleusCerebral VentriclesCytoplasmGene Expression Regulation, DevelopmentalHomeodomain ProteinsIn Situ HybridizationIsomerismMiceMitosisMutagenesisNeuronsProsencephalonRecombinant ProteinsRNA, MessengerS PhaseTranscription FactorsConceptsDlx-2Dlx-1Dlx-5Dlx genesDlx-5 expressionEmbryonic day 10.5Ventricular zoneDlx proteinsDlx familyM phase cellsCraniofacial morphogenesisHomeobox genesSingle mutantsDaughter cellsDay 10.5GenesForebrain differentiationProteinSame cellsMouse forebrainMild phenotypeCellsDifferentiationExpressionDistinct stages
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