2023
Mutation of key signaling regulators of cerebrovascular development in vein of Galen malformations
Zhao S, Mekbib K, van der Ent M, Allington G, Prendergast A, Chau J, Smith H, Shohfi J, Ocken J, Duran D, Furey C, Hao L, Duy P, Reeves B, Zhang J, Nelson-Williams C, Chen D, Li B, Nottoli T, Bai S, Rolle M, Zeng X, Dong W, Fu P, Wang Y, Mane S, Piwowarczyk P, Fehnel K, See A, Iskandar B, Aagaard-Kienitz B, Moyer Q, Dennis E, Kiziltug E, Kundishora A, DeSpenza T, Greenberg A, Kidanemariam S, Hale A, Johnston J, Jackson E, Storm P, Lang S, Butler W, Carter B, Chapman P, Stapleton C, Patel A, Rodesch G, Smajda S, Berenstein A, Barak T, Erson-Omay E, Zhao H, Moreno-De-Luca A, Proctor M, Smith E, Orbach D, Alper S, Nicoli S, Boggon T, Lifton R, Gunel M, King P, Jin S, Kahle K. Mutation of key signaling regulators of cerebrovascular development in vein of Galen malformations. Nature Communications 2023, 14: 7452. PMID: 37978175, PMCID: PMC10656524, DOI: 10.1038/s41467-023-43062-z.Peer-Reviewed Original ResearchConceptsEphrin receptor B4Galen malformationBrain arteriovenous malformationsP120 RasGAPTransmitted variantsArteriovenous malformationsDe novo variantsSingle-cell transcriptomesSignificant burdenCerebrovascular developmentIntegrative genomic analysisEndothelial cellsVenous networkAdditional probandsMalformationsNovo variantsMissense variantsGenomic analysisDevelopmental angiogenesisVascular developmentDamaging variantsVeinRasGAPIntegrated analysisPatientsSingle-cell reconstruction and mutation enrichment analysis identifies dysregulated cardiomyocyte and endothelial cells in congenital heart disease
Tambi R, Zehra B, Nandkishore S, Sharafat S, Kader F, Nassir N, Mohamed N, Ahmed A, Abdel Hameid R, Alasrawi S, Brueckner M, Kuebler W, Chung W, Alsheikh-Ali A, Di Donato R, Uddin M, Berdiev B. Single-cell reconstruction and mutation enrichment analysis identifies dysregulated cardiomyocyte and endothelial cells in congenital heart disease. Physiological Genomics 2023, 55: 634-646. PMID: 37811720, PMCID: PMC11550899, DOI: 10.1152/physiolgenomics.00070.2023.Peer-Reviewed Original ResearchConceptsSingle-cell transcriptomesCHD genesRisk genesEndocardial cellsMultiple genesCell typesSingle-cell transcriptomicsPhenotypic heterogeneityDe novo variantsCongential heart diseaseSingle-cell reconstructionGenesReconstruction analysisNeonatal congenital anomaliesGene heterogeneityAnalysis identifiesTranscriptomeMissense variantsNovo variantsCongenital heart diseaseGenomicsHeterogenous expressionFunction variantsHeart diseaseGenetics guidelinesDe novo variants implicate chromatin modification, transcriptional regulation, and retinoic acid signaling in syndromic craniosynostosis
Timberlake A, McGee S, Allington G, Kiziltug E, Wolfe E, Stiegler A, Boggon T, Sanyoura M, Morrow M, Wenger T, Fernandes E, Caluseriu O, Persing J, Jin S, Lifton R, Kahle K, Kruszka P. De novo variants implicate chromatin modification, transcriptional regulation, and retinoic acid signaling in syndromic craniosynostosis. American Journal Of Human Genetics 2023, 110: 846-862. PMID: 37086723, PMCID: PMC10183468, DOI: 10.1016/j.ajhg.2023.03.017.Peer-Reviewed Original ResearchConceptsDamaging de novo variantsChromatin modificationsDe novo variantsCranial neural crest cellsGenome-wide significanceNeural crest cellsNovo variantsRetinoic acid receptor alphaExome sequence dataAcid receptor alphaTranscriptional regulationProband-parent triosGene transcriptionSequence dataCrest cellsOsteoblast differentiationCS phenotypeMendelian formsRecurrent gainsGenesRisk genesGenetic etiologyRetinoic acidReceptor alphaNeurodevelopmental disordersMultiomic analyses implicate a neurodevelopmental program in the pathogenesis of cerebral arachnoid cysts
Kundishora A, Allington G, McGee S, Mekbib K, Gainullin V, Timberlake A, Nelson-Williams C, Kiziltug E, Smith H, Ocken J, Shohfi J, Allocco A, Duy P, Elsamadicy A, Dong W, Zhao S, Wang Y, Qureshi H, DiLuna M, Mane S, Tikhonova I, Fu P, Castaldi C, López-Giráldez F, Knight J, Furey C, Carter B, Haider S, Moreno-De-Luca A, Alper S, Gunel M, Millan F, Lifton R, Torene R, Jin S, Kahle K. Multiomic analyses implicate a neurodevelopmental program in the pathogenesis of cerebral arachnoid cysts. Nature Medicine 2023, 29: 667-678. PMID: 36879130, PMCID: PMC12178143, DOI: 10.1038/s41591-023-02238-2.Peer-Reviewed Original ResearchConceptsArachnoid cystCerebral arachnoid cystsDe novo variantsAC pathogenesisDevelopmental brain lesionsStructural brain diseaseAppropriate clinical contextPatients' medical recordsDamaging de novo variantsMedical recordsClinical severityBrain lesionsHealthy individualsAC subtypesBrain diseasesGenetic testingNeurodevelopmental pathologyClinical contextPathogenesisPatient phenotypesNeurodevelopmental programsNovo variantsRNA sequencing transcriptomeHuman brainCysts
2022
Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease
Xie Y, Jiang W, Dong W, Li H, Jin SC, Brueckner M, Zhao H. Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease. PLOS Genetics 2022, 18: e1010252. PMID: 35671298, PMCID: PMC9205499, DOI: 10.1371/journal.pgen.1010252.Peer-Reviewed Original ResearchWhole‐exome DNA sequencing in childhood anxiety disorders identifies rare de novo damaging coding variants
Olfson E, Lebowitz ER, Hommel G, Pashankar N, Silverman WK, Fernandez TV. Whole‐exome DNA sequencing in childhood anxiety disorders identifies rare de novo damaging coding variants. Depression And Anxiety 2022, 39: 474-484. PMID: 35312124, PMCID: PMC9246845, DOI: 10.1002/da.23251.Peer-Reviewed Original ResearchConceptsWhole-exome DNA sequencingRisk genesDNA sequencingCanonical biological pathwaysMissense genetic variantsNovo variantsGenetic variant detectionParent-child triosGenomic approachesDe novo variantsLikely geneBiologic pathwaysDeleterious variantsBiological pathwaysDamaging variantsGenesGenetic variantsPathwayVariant detectionSequencingNetwork analysisGenetic factorsUnderlying biologyVariantsEnrichment193 Arachnoid Cysts as Genetically-encoded Harbingers of Neurodevelopmental Pathology
Kundishora A, Kiziltug E, Allington G, Allocco A, Smith H, Ocken J, Moreno-De-Luca A, DiLuna M, Jin S, Kahle K. 193 Arachnoid Cysts as Genetically-encoded Harbingers of Neurodevelopmental Pathology. Neurosurgery 2022, 68: 58-58. DOI: 10.1227/neu.0000000000001880_193.Peer-Reviewed Original ResearchGene expressionGene setsScRNAseq datasetsWhole-exome sequencingSingle-cell RNA sequencing dataExome-wide significanceCell type relationshipsMultiple epigenetic regulatorsRNA sequencing dataMulti-omics approachExome sequencingChromatin remodelingEpigenetic regulationMRNA processingPhenomic analysisEpigenetic regulatorsPhenomics techniquesIntegrative genomicsSequencing dataSignificant enrichmentGenesFirst insightPhenotypic clustersNovo variantsNovel associationsGenome-Wide De Novo Variants in Congenital Heart Disease Are Not Associated With Maternal Diabetes or Obesity
Morton SU, Pereira AC, Quiat D, Richter F, Kitaygorodsky A, Hagen J, Bernstein D, Brueckner M, Goldmuntz E, Kim RW, Lifton RP, Porter GA, Tristani-Firouzi M, Chung WK, Roberts A, Gelb BD, Shen Y, Newburger JW, Seidman JG, Seidman CE. Genome-Wide De Novo Variants in Congenital Heart Disease Are Not Associated With Maternal Diabetes or Obesity. Circulation Genomic And Precision Medicine 2022, 15: e003500. PMID: 35130025, PMCID: PMC9295870, DOI: 10.1161/circgen.121.003500.Peer-Reviewed Original ResearchConceptsCongenital heart diseaseDamaging de novo variantsMaternal diabetesPrenatal exposureHeart diseaseDe novo variantsParental ageIncidence of CHDNovo variantsCauses of CHDMaternal obesityObese mothersDiabetes riskPatientsCommon anomalyObesityDiabetesAgeWhole-genome sequencingDiseaseMothersGene studiesCauseExposureInfants
2021
A KCNC1 mutation in epilepsy of infancy with focal migrating seizures produces functional channels that fail to be regulated by PKC phosphorylation
Zhang Y, Ali SR, Nabbout R, Barcia G, Kaczmarek LK. A KCNC1 mutation in epilepsy of infancy with focal migrating seizures produces functional channels that fail to be regulated by PKC phosphorylation. Journal Of Neurophysiology 2021, 126: 532-539. PMID: 34232791, PMCID: PMC8409950, DOI: 10.1152/jn.00257.2021.Peer-Reviewed Original ResearchConceptsFunctional channelsProtein kinase C.Serious human diseasesPotassium channelsWild-type channelsEpilepsy of infancyChannel modulationTerminal domainIon channel mutationsPKC phosphorylationC-terminusNormal neuronal functionChannel proteinsKv3.1 potassium channelRegulatory sitesKinase C.Human diseasesChannel functionPhosphorylationIon channelsMutationsNovo variantsChannel mutationsBiophysical propertiesNeuronal function
2020
Alternative genomic diagnoses for individuals with a clinical diagnosis of Dubowitz syndrome
Dyment DA, O'Donnell‐Luria A, Agrawal PB, Akdemir Z, Aleck KA, Antaki D, Al Sharhan H, Au P, Aydin H, Beggs AH, Bilguvar K, Boerwinkle E, Brand H, Brownstein CA, Buyske S, Chodirker B, Choi J, Chudley AE, Clericuzio CL, Cox GF, Curry C, de Boer E, de Vries B, Dunn K, Dutmer CM, England EM, Fahrner JA, Geckinli BB, Genetti CA, Gezdirici A, Gibson WT, Gleeson JG, Greenberg CR, Hall A, Hamosh A, Hartley T, Jhangiani SN, Karaca E, Kernohan K, Lauzon JL, Lewis MES, Lowry RB, López‐Giráldez F, Matise TC, McEvoy‐Venneri J, McInnes B, Mhanni A, Minaur S, Moilanen J, Nguyen A, Nowaczyk MJM, Posey JE, Õunap K, Pehlivan D, Pajusalu S, Penney LS, Poterba T, Prontera P, Doriqui MJR, Sawyer SL, Sobreira N, Stanley V, Torun D, Wargowski D, Witmer PD, Wong I, Xing J, Zaki MS, Zhang Y, Consortium C, Genomics C, Boycott KM, Bamshad MJ, Nickerson DA, Blue EE, Innes AM. Alternative genomic diagnoses for individuals with a clinical diagnosis of Dubowitz syndrome. American Journal Of Medical Genetics Part A 2020, 185: 119-133. PMID: 33098347, PMCID: PMC8197629, DOI: 10.1002/ajmg.a.61926.Peer-Reviewed Original ResearchConceptsGenome sequencingExtensive locus heterogeneityCopy number variationsGenomic analysisMolecular diagnosisSingle geneDe novo variantsNext-generation sequencingDisease genesWide sequencingGenesGenomic diagnosisLocus heterogeneityNovo variantsSequencingPhenotypeAdditional familiesBiallelic variantsHDAC8FamilyVariant filteringDistinctive facial appearanceClinical phenotypeVariantsUncertain significanceDe novo Damaging Variants, Clinical Phenotypes and Post-Operative Outcomes in Congenital Heart Disease
Boskovski MT, Homsy J, Nathan M, Sleeper LA, Morton S, Manheimer KB, Tai A, Gorham J, Lewis M, Swartz M, Alfieris GM, Bacha EA, Karimi M, Meyer D, Nguyen K, Bernstein D, Romano-Adesman A, Porter GA, Goldmuntz E, Chung WK, Srivastava D, Kaltman JR, Tristani-Firouzi M, Lifton R, Roberts AE, Gaynor JW, Gelb BD, Kim R, Seidman JG, Brueckner M, Mayer JE, Newburger JW, Seidman CE. De novo Damaging Variants, Clinical Phenotypes and Post-Operative Outcomes in Congenital Heart Disease. Circulation Genomic And Precision Medicine 2020, 13: e002836-e002836. PMID: 32812804, PMCID: PMC7439931, DOI: 10.1161/circgen.119.002836.Peer-Reviewed Original ResearchConceptsWorse transplant-free survivalTransplant-free survivalExtra-cardiac anomaliesCongenital heart diseaseDe novo variantsHeart diseaseFinal extubationNovo variantsFirst operationPost-operative outcomesOpen heart surgeryPreoperative genetic testingRoutine clinical practiceDamaging variantsWhole-exome sequencingHeart transplantationAdverse outcomesSurgical dataPatientsClinical practiceCardiac repairClinical phenotypeDe novoGenetic testingGenetic abnormalitiesDe novo damaging variants associated with congenital heart diseases contribute to the connectome
Ji W, Ferdman D, Copel J, Scheinost D, Shabanova V, Brueckner M, Khokha MK, Ment LR. De novo damaging variants associated with congenital heart diseases contribute to the connectome. Scientific Reports 2020, 10: 7046. PMID: 32341405, PMCID: PMC7184603, DOI: 10.1038/s41598-020-63928-2.Peer-Reviewed Original ResearchMeSH KeywordsConnectomeDNA HelicasesDNA-Binding ProteinsExomeFemaleHeart Defects, CongenitalHistone-Lysine N-MethyltransferaseHomeodomain ProteinsHumansMaleMi-2 Nucleosome Remodeling and Deacetylase ComplexMutationMutation, MissenseMyeloid-Lymphoid Leukemia ProteinNerve Tissue ProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 11Receptor, Notch1ConceptsDe novo variantsNDD genesCardiac patterningDe novo damaging variantsDamaging de novo variantsCHD genesDamaging variantsGenesProtein truncatingGenetic originNovo variantsGene mutationsPatterningRecent studiesDendritic developmentVariantsMutationsNeurogenesisSynaptogenesisBonferroni correctionSystems Analysis Implicates WAVE2 Complex in the Pathogenesis of Developmental Left-Sided Obstructive Heart Defects
Edwards JJ, Rouillard AD, Fernandez NF, Wang Z, Lachmann A, Shankaran SS, Bisgrove BW, Demarest B, Turan N, Srivastava D, Bernstein D, Deanfield J, Giardini A, Porter G, Kim R, Roberts AE, Newburger JW, Goldmuntz E, Brueckner M, Lifton RP, Seidman CE, Chung WK, Tristani-Firouzi M, Yost HJ, Ma’ayan A, Gelb BD. Systems Analysis Implicates WAVE2 Complex in the Pathogenesis of Developmental Left-Sided Obstructive Heart Defects. JACC Basic To Translational Science 2020, 5: 376-386. PMID: 32368696, PMCID: PMC7188873, DOI: 10.1016/j.jacbts.2020.01.012.Peer-Reviewed Original ResearchSmall GTPaseSpecific molecular functionsWAVE2 complexMolecular functionsCHD genesSignal transductionComplex proteinsHeart disease pathogenesisCardiac developmentCausative variantsGenetic variantsGTPaseNovo variantsGenesDisease pathogenesisPrimary driverVariantsWAVE2TransductionComplexesKnockdownRegulatorProteinRegulationPathogenesis
2019
De novo and recessive forms of congenital heart disease have distinct genetic and phenotypic landscapes
Watkins WS, Hernandez EJ, Wesolowski S, Bisgrove BW, Sunderland RT, Lin E, Lemmon G, Demarest BL, Miller TA, Bernstein D, Brueckner M, Chung WK, Gelb BD, Goldmuntz E, Newburger JW, Seidman CE, Shen Y, Yost HJ, Yandell M, Tristani-Firouzi M. De novo and recessive forms of congenital heart disease have distinct genetic and phenotypic landscapes. Nature Communications 2019, 10: 4722. PMID: 31624253, PMCID: PMC6797711, DOI: 10.1038/s41467-019-12582-y.Peer-Reviewed Original ResearchConceptsChromatin-modifying genesCilia-related genesGene classesDe novo variantsDistinct gene functionsDamaging de novo variantsBackground mutation rateGene burden analysisNovo variantsGene functionGenetic architectureRecessive formPediatric Cardiac Genomics ConsortiumSporadic congenital heart diseaseMode of inheritancePhenotypic landscapeGene pathwaysDisease genesGenomics ConsortiumMutation rateGenesRecessive genotypeDe novoCompound heterozygous genotypeDe novo forms
2018
Further evidence for the involvement of EFL1 in a Shwachman–Diamond-like syndrome and expansion of the phenotypic features
Tan Q, Cope H, Spillmann RC, Stong N, Jiang YH, McDonald MT, Rothman JA, Butler MW, Frush DP, Lachman RS, Lee B, Bacino CA, Bonner MJ, McCall CM, Pendse AA, Walley N, Network U, Shashi V, Pena L, Alejandro M, Azamian M, Bacino C, Balasubramanyam A, Bostwick B, Burrage L, Chen S, Clark G, Craigen W, Dhar S, Emrick L, Goldman A, Hanchard N, Jamal F, Karaviti L, Lalani S, Lee B, Lewis R, Marom R, Moretti P, Murdock D, Nicholas S, Orange J, Orengo J, Posey J, Potocki L, Rosenfeld J, Samson S, Scott D, Tran A, Vogel T, Bellen H, Wangler M, Yamamoto S, Eng C, Muzny D, Ward P, Yang Y, Goldstein D, Stong N, Cope H, Jiang Y, McConkie-Rosell A, Pena L, Schoch K, Shashi V, Spillmann R, Sullivan J, Tan Q, Walley N, Aaron A, Beggs A, Berry G, Briere L, Cooper C, Donnell-Fink L, Fieg E, High F, Korrick S, Krier J, Lincoln S, Loscalzo J, Maas R, MacRae C, Pallais J, Rodan L, Silverman E, Stoler J, Sweetser D, Walker M, Walsh C, Esteves C, Glanton E, Holm I, Kohane I, McCray A, Might M, LeBlanc K, Bick D, Birch C, Boone B, Brown D, Dorset D, Jones A, Lazar J, Levy S, May T, Newberry J, Worthey E, Batzli G, Colley H, Dayal J, Eckstein D, Gould S, Howerton E, Krasnewich D, Mamounas L, Manolio T, Mulvihill J, Urv T, Wise A, Brush M, Gourdine J, Haendel M, Koeller D, Kyle J, Metz T, Waters K, Webb-Robertson B, Ashley E, Bernstein J, Bonner D, Coakley T, Davidson J, Dries A, Enns G, Fernandez L, Fisher P, Friedman N, Hom J, Huang Y, Kohler J, Majcherska M, Marwaha S, McCormack C, Merker J, Reuter C, Sampson J, Smith K, Waggott D, Wheeler M, Zastrow D, Zhao C, Allard P, Barseghyan H, Butte M, Dell'Angelica E, Dipple K, Dorrani N, Douine E, Eskin A, Fogel B, Lee H, Loo S, Martin M, Martínez-Agosto J, Nelson S, Palmer C, Papp J, Parker N, Signer R, Sinsheimer J, Vilain E, Wan J, Yoon A, Zheng A, Behnam B, Burke E, D'Souza P, Davids M, Draper D, Estwick T, Ferreira C, Godfrey R, Groden C, Johnston J, Lau C, Macnamara E, Maduro V, Markello T, Morimoto M, Murphy J, Nehrebecky M, Novacic D, Pusey B, Sharma P, CamiloToro, Wahl C, Yu G, Gropman A, Baker E, Adams D, Gahl W, Malicdan M, Tifft C, Wolfe L, Yang J, Postlethwait J, Westerfield M, Bican A, Brokamp E, Duncan L, Hamid R, Kozuira M, Newman J, Phillips J, Rives L, Robertson A, Shakachite L, Cogan J. Further evidence for the involvement of EFL1 in a Shwachman–Diamond-like syndrome and expansion of the phenotypic features. Molecular Case Studies 2018, 4: a003046. PMID: 29970384, PMCID: PMC6169826, DOI: 10.1101/mcs.a003046.Peer-Reviewed Original ResearchConceptsShwachman-Diamond syndromeBone marrow abnormalitiesShwachman-DiamondPediatric patientsClinical featuresPancreatic insufficiencyDe novo variantsLike syndromeMarrow abnormalitiesMetaphyseal abnormalitiesPathogenic variantsBiallelic variantsMetaphyseal dysplasiaWhole-exome sequencing dataNovo variantsRecent evidenceEquivocal evidenceCausative genesPatientsPhenotypic featuresSyndromeAbnormalitiesPhenotypeFurther evidenceInitial indication
2017
A novel SAMD9 mutation causing MIRAGE syndrome: An expansion and review of phenotype, dysmorphology, and natural history
Jeffries L, Shima H, Ji W, Panisello‐Manterola D, McGrath J, Bird LM, Konstantino M, Narumi S, Lakhani S. A novel SAMD9 mutation causing MIRAGE syndrome: An expansion and review of phenotype, dysmorphology, and natural history. American Journal Of Medical Genetics Part A 2017, 176: 415-420. PMID: 29266745, DOI: 10.1002/ajmg.a.38557.Peer-Reviewed Original ResearchConceptsConstellation of symptomsAdditional clinical featuresNovel de novo variantReview of phenotypesSAMD9 mutationsAdrenal insufficiencyMultidisciplinary managementAdditional patientsClinical featuresPatient's courseSpecialist careMIRAGE syndromeDe novo variantsEarly diagnosisHigh riskPatientsTreatment planGermline gainNatural historyFunction variantsGenital phenotypeNovo variantsRestriction of growthSyndromeAmino acid variantsContribution of rare inherited and de novo variants in 2,871 congenital heart disease probands
Jin SC, Homsy J, Zaidi S, Lu Q, Morton S, DePalma SR, Zeng X, Qi H, Chang W, Sierant MC, Hung WC, Haider S, Zhang J, Knight J, Bjornson RD, Castaldi C, Tikhonoa IR, Bilguvar K, Mane SM, Sanders SJ, Mital S, Russell MW, Gaynor JW, Deanfield J, Giardini A, Porter GA, Srivastava D, Lo CW, Shen Y, Watkins WS, Yandell M, Yost HJ, Tristani-Firouzi M, Newburger JW, Roberts AE, Kim R, Zhao H, Kaltman JR, Goldmuntz E, Chung WK, Seidman JG, Gelb BD, Seidman CE, Lifton RP, Brueckner M. Contribution of rare inherited and de novo variants in 2,871 congenital heart disease probands. Nature Genetics 2017, 49: 1593-1601. PMID: 28991257, PMCID: PMC5675000, DOI: 10.1038/ng.3970.Peer-Reviewed Original ResearchMeSH KeywordsAdultAutistic DisorderCardiac MyosinsCase-Control StudiesChildExomeFemaleGene ExpressionGenetic Predisposition to DiseaseGenome-Wide Association StudyGrowth Differentiation Factor 1Heart Defects, CongenitalHeterozygoteHigh-Throughput Nucleotide SequencingHomozygoteHumansMaleMutationMyosin Heavy ChainsPedigreeRiskVascular Endothelial Growth Factor Receptor-3GABBR2 mutations determine phenotype in rett syndrome and epileptic encephalopathy
Yoo Y, Jung J, Lee Y, Lee Y, Cho H, Na E, Hong J, Kim E, Lee JS, Lee JS, Hong C, Park S, Wie J, Miller K, Shur N, Clow C, Ebel RS, DeBrosse SD, Henderson LB, Willaert R, Castaldi C, Tikhonova I, Bilgüvar K, Mane S, Kim KJ, Hwang YS, Lee S, So I, Lim BC, Choi H, Seong JY, Shin YB, Jung H, Chae J, Choi M. GABBR2 mutations determine phenotype in rett syndrome and epileptic encephalopathy. Annals Of Neurology 2017, 82: 466-478. PMID: 28856709, DOI: 10.1002/ana.25032.Peer-Reviewed Original ResearchConceptsRett syndromeGenetic factorsAppropriate medical interventionΓ-aminobutyric acid signalingDistinct diagnostic criteriaDevastating neurodevelopmental disorderWhole-exome sequencingAnn NeurolClinical featuresEE patientsEpileptic encephalopathyDe novo variantsNovel genetic factorsDiagnostic criteriaAnimal modelsMedical interventionsAccurate diagnosisReceptor activityReceptor functionSpecific molecular mechanismsPatientsRTT-like patientsNeurodevelopmental disordersNovo variantsMECP2 mutationsOne thousand somatic SNVs per skin fibroblast cell set baseline of mosaic mutational load with patterns that suggest proliferative origin
Abyzov A, Tomasini L, Zhou B, Vasmatzis N, Coppola G, Amenduni M, Pattni R, Wilson M, Gerstein M, Weissman S, Urban AE, Vaccarino FM. One thousand somatic SNVs per skin fibroblast cell set baseline of mosaic mutational load with patterns that suggest proliferative origin. Genome Research 2017, 27: 512-523. PMID: 28235832, PMCID: PMC5378170, DOI: 10.1101/gr.215517.116.Peer-Reviewed Original ResearchConceptsSomatic mosaicismFibroblast cellsSingle-cell whole-genome amplificationAllele frequenciesNumber of SNVsNormal cell proliferationCell proliferationWhole genome amplificationStem cell linesPluripotent stem cell lineHealthy human tissuesDe novo variantsCancer mutationsHigh-resolution analysisMutational loadPCR experimentsSkin fibroblast cellsMutational signaturesHiPSC linesDe novoGenomeNovo variantsFibroblast populationsCell linesSomatic SNVs
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