BACKGROUND/AIMS: The genetics of human height is a frequently studied and complex issue. However, there is limited genetic research of short stature. To uncover the subgroup of patients to have higher yield and to propose a simplified diagnostic algorithm in the next generation era. METHODS: This study included 114 Chinese children with height SDS ≤ -2.5 and unknown etiology from 2014 to 2015. Target/whole exome sequencing (referred as NGS) and chromosomal microarray analysis (CMA) were performed on the enrolled patients sequentially to identify potential genetic etiologies. The samples solved by NGS and CMA were retrospectively studied to evaluate the clinical pathway of the patients following a standard diagnostic algorithm. RESULTS: In total, a potential genetic etiology was identified in 41 (36%) patients: 38 by NGS (33.3%), two by CMA (1.8%), and an additional one by both (0.9%). There were 46 different variants in 29 genes and 2 pathogenic CNVs identified. The diagnostic yield was significantly higher in patients with facial dysmorphism or skeletal abnormalities than those without the corresponding phenotype (P=0.006 and P=0.009, respectively, Pearson's χ2 test). Retrospectively study the cohort indicate 83.3% patients eventually would be evaluated by NGS/CMA. CONCLUSION: This study confirms the utility of high-throughput molecular detection techniques for the etiological diagnosis of undiagnosed short stature and suggests that NGS could be used as a primary diagnostic strategy. Patients with facial dysmorphism and/or skeletal abnormalities are more likely to have a known genetic etiology. Moving NGS forward would simplified the diagnostic algorithm.
BACKGROUND/AIMS: The genetics of human height is a frequently studied and complex issue. However, there is limited genetic research of short stature. To uncover the subgroup of patients to have higher yield and to propose a simplified diagnostic algorithm in the next generation era. METHODS: This study included 114 Chinese children with height SDS ≤ -2.5 and unknown etiology from 2014 to 2015. Target/whole exome sequencing (referred as NGS) and chromosomal microarray analysis (CMA) were performed on the enrolled patients sequentially to identify potential genetic etiologies. The samples solved by NGS and CMA were retrospectively studied to evaluate the clinical pathway of the patients following a standard diagnostic algorithm. RESULTS: In total, a potential genetic etiology was identified in 41 (36%) patients: 38 by NGS (33.3%), two by CMA (1.8%), and an additional one by both (0.9%). There were 46 different variants in 29 genes and 2 pathogenic CNVs identified. The diagnostic yield was significantly higher in patients with facial dysmorphism or skeletal abnormalities than those without the corresponding phenotype (P=0.006 and P=0.009, respectively, Pearson's χ2 test). Retrospectively study the cohort indicate 83.3% patients eventually would be evaluated by NGS/CMA. CONCLUSION: This study confirms the utility of high-throughput molecular detection techniques for the etiological diagnosis of undiagnosed short stature and suggests that NGS could be used as a primary diagnostic strategy. Patients with facial dysmorphism and/or skeletal abnormalities are more likely to have a known genetic etiology. Moving NGS forward would simplified the diagnostic algorithm.
Authors: Marta Molina Romero; Alberto Yoldi Chaure; Miguel Gañán Parra; Purificación Navas Bastida; José Luis Del Pico Sánchez; Ángel Vaquero Argüelles; Paloma de la Fuente Vaquero; Juan Pablo Ramírez López; José Antonio Castilla Alcalá Journal: J Assist Reprod Genet Date: 2022-01-29 Impact factor: 3.412
Authors: Vincenzo Salpietro; Nancy T Malintan; Isabel Llano-Rivas; Christine G Spaeth; Stephanie Efthymiou; Pasquale Striano; Jana Vandrovcova; Maria C Cutrupi; Roberto Chimenz; Emanuele David; Gabriella Di Rosa; Anna Marce-Grau; Miquel Raspall-Chaure; Elena Martin-Hernandez; Federico Zara; Carlo Minetti; Oscar D Bello; Rita De Zorzi; Sara Fortuna; Andrew Dauber; Mariam Alkhawaja; Tipu Sultan; Kshitij Mankad; Antonio Vitobello; Quentin Thomas; Frederic Tran Mau-Them; Laurence Faivre; Francisco Martinez-Azorin; Carlos E Prada; Alfons Macaya; Dimitri M Kullmann; James E Rothman; Shyam S Krishnakumar; Henry Houlden Journal: Am J Hum Genet Date: 2019-03-28 Impact factor: 11.025