2022
A retrospective cohort analysis of the Yale pediatric genomics discovery program
Al‐Ali S, Jeffries L, Faustino EVS, Ji W, Mis E, Konstantino M, Zerillo C, Jiang Y, Spencer‐Manzon M, Bale A, Zhang H, McGlynn J, McGrath JM, Tremblay T, Brodsky NN, Lucas CL, Pierce R, Deniz E, Khokha MK, Lakhani SA. A retrospective cohort analysis of the Yale pediatric genomics discovery program. American Journal Of Medical Genetics Part A 2022, 188: 2869-2878. PMID: 35899841, PMCID: PMC9474639, DOI: 10.1002/ajmg.a.62918.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesGenetic TestingGenomicsHigh-Throughput Nucleotide SequencingHumansPhenotypeRetrospective StudiesConceptsRetrospective cohort analysisNext-generation sequencingCohort analysisSystem abnormalitiesImmune system abnormalitiesCardiovascular system abnormalitiesFunctional molecular analysesNovel genesPrecise molecular diagnosisClinical characteristicsFurther genetic evaluationDiscovery programsComplex patientsMultisystem diseaseDisease genesPediatric providersRare genetic diseaseNew diagnosisPhenotype relationshipsPatientsGenetic diseasesMolecular analysisDiagnosisParticipant demographicsNGS results
2021
A review of consensus statements, practice resources, standards and guidelines for clinical applications of next-generation sequencing technologies in the United States
Zhao C, Xie X, Ji W, Qi M, Zhou Q, Li M, Li P, Jiang Y, Zhang H. A review of consensus statements, practice resources, standards and guidelines for clinical applications of next-generation sequencing technologies in the United States. 中华医学遗传学杂志 2021, 38: 513-520. PMID: 34096016, DOI: 10.3760/cma.j.cn511374-20200924-00691.Peer-Reviewed Original ResearchChinaConsensusFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansPregnancyTechnologyUnited States
2015
Whole-exome sequencing in undiagnosed genetic diseases: interpreting 119 trios
Zhu X, Petrovski S, Xie P, Ruzzo EK, Lu YF, McSweeney KM, Ben-Zeev B, Nissenkorn A, Anikster Y, Oz-Levi D, Dhindsa RS, Hitomi Y, Schoch K, Spillmann RC, Heimer G, Marek-Yagel D, Tzadok M, Han Y, Worley G, Goldstein J, Jiang YH, Lancet D, Pras E, Shashi V, McHale D, Need AC, Goldstein DB. Whole-exome sequencing in undiagnosed genetic diseases: interpreting 119 trios. Genetics In Medicine 2015, 17: 774-781. PMID: 25590979, PMCID: PMC4791490, DOI: 10.1038/gim.2014.191.Peer-Reviewed Original ResearchMeSH KeywordsComputational BiologyExomeFemaleGenetic Association StudiesGenetic Diseases, InbornGenomicsGenotypeHigh-Throughput Nucleotide SequencingHumansMaleMutationPhenotypeConceptsDisease genesWhole-exome sequencingDamaging de novo mutationsNovel bioinformatics approachNovel disease genesAppropriate bioinformatics analysisNew gene-disease associationsClinical sequence dataGene-disease associationsDisease-causing genesNovel genesIntolerant genesBioinformatics approachSequence dataBioinformatics analysisDe novo mutationsGenomic interpretationPattern of genotypesSimilar phenotypeGenesGenetic diseasesDiagnostic genotypesUndiagnosed genetic diseasesNovo mutationsCandidate genotypes
2013
The utility of the traditional medical genetics diagnostic evaluation in the context of next-generation sequencing for undiagnosed genetic disorders
Shashi V, McConkie-Rosell A, Rosell B, Schoch K, Vellore K, McDonald M, Jiang YH, Xie P, Need A, Goldstein DB. The utility of the traditional medical genetics diagnostic evaluation in the context of next-generation sequencing for undiagnosed genetic disorders. Genetics In Medicine 2013, 16: 176-182. PMID: 23928913, DOI: 10.1038/gim.2013.99.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsExomeFemaleGenetic Diseases, InbornGenetic TestingGenome, HumanHigh-Throughput Nucleotide SequencingHumansMaleRetrospective StudiesSequence Analysis, DNAConceptsUndiagnosed genetic disordersDiagnostic evaluationNext-generation sequencingGenetic diagnostic evaluationGenetic testingGenetic disordersGenetic diagnosisGeneral genetics clinicsTertiary medical centerFirst clinical visitComprehensive clinical evaluationUnselected consecutive patientsTraditional genetic testingConsecutive patientsInitial visitClinical visitsClinical evaluationFirst visitDiagnostic yieldMedical CenterNumber of visitsDiagnosis rateGenetics clinicDiagnostic algorithmPatientsDetection of Clinically Relevant Genetic Variants in Autism Spectrum Disorder by Whole-Genome Sequencing
Jiang YH, Yuen RK, Jin X, Wang M, Chen N, Wu X, Ju J, Mei J, Shi Y, He M, Wang G, Liang J, Wang Z, Cao D, Carter MT, Chrysler C, Drmic IE, Howe JL, Lau L, Marshall CR, Merico D, Nalpathamkalam T, Thiruvahindrapuram B, Thompson A, Uddin M, Walker S, Luo J, Anagnostou E, Zwaigenbaum L, Ring RH, Wang J, Lajonchere C, Wang J, Shih A, Szatmari P, Yang H, Dawson G, Li Y, Scherer SW. Detection of Clinically Relevant Genetic Variants in Autism Spectrum Disorder by Whole-Genome Sequencing. American Journal Of Human Genetics 2013, 93: 249-263. PMID: 23849776, PMCID: PMC3738824, DOI: 10.1016/j.ajhg.2013.06.012.Peer-Reviewed Original ResearchMeSH KeywordsAdultChildChild Development Disorders, PervasiveFemaleGenetic HeterogeneityGenetic Predisposition to DiseaseGenomeHigh-Throughput Nucleotide SequencingHumansMaleMutationPedigreeConceptsWhole-genome sequencingASD risk genesGenetic variantsThorough bioinformatics analysisRisk genesDe novoRelevant genetic variantsBioinformatics analysisDeleterious variantsHigh heritabilityGenomic heterogeneityGenesPutative mutationsMutationsNovo mutationsGenetic causeASD probandsSequencingNovoFamilyCHARGE syndromeVariantsUnreported mutationsCAPRIN1