2023
Estimation on risk of spontaneous abortions by genomic disorders from a meta‐analysis of microarray results on large case series of pregnancy losses
Peng G, Zhou Q, Chai H, Wen J, Zhao H, Taylor H, Jiang Y, Li P. Estimation on risk of spontaneous abortions by genomic disorders from a meta‐analysis of microarray results on large case series of pregnancy losses. Molecular Genetics & Genomic Medicine 2023, 11: e2181. PMID: 37013615, PMCID: PMC10422064, DOI: 10.1002/mgg3.2181.Peer-Reviewed Original ResearchConceptsGenomic disordersChromosome microarray analysisWilliams-Beuren syndromePathogenic copy number variantsPopulation genetic studiesWolf-Hirschhorn syndromeCopy number variantsDiGeorge syndromeMicroarray analysisMicroarray resultsChromosomal abnormalitiesGenetic studiesNumber variantsGenetic counseling
2022
Detecting regions of homozygosity improves the diagnosis of pathogenic variants and uniparental disomy in pediatric patients
Wen J, Chai H, Grommisch B, DiAdamo A, Dykas D, Ma D, Popa A, Zhao C, Spencer‐Manzon M, Jiang Y, McGrath J, Li P, Bale A, Zhang H. Detecting regions of homozygosity improves the diagnosis of pathogenic variants and uniparental disomy in pediatric patients. American Journal Of Medical Genetics Part A 2022, 188: 1728-1738. PMID: 35199448, DOI: 10.1002/ajmg.a.62693.Peer-Reviewed Original ResearchConceptsPediatric patientsWhole-exome sequencingCase seriesAR diseasesPathogenic variantsLarge consecutive case seriesConsecutive case seriesLarge case seriesUniparental disomyLikely pathogenic variantsRegions of homozygosityChromosomal microarray analysisAutosomal recessive diseasePrader-Willi syndromeDiagnostic findingsDiagnostic yieldPatientsPredictive valueGenetic testingHomozygous variantDiseaseExome sequencingRecessive diseaseGenetic counselingStrongest predictor