@article{Toh201828,
title = {Accuracy of Modified Checklist for Autism in Toddlers (M-CHAT) in Detecting Autism and Other Developmental Disorders in Community Clinics},
author = {T -H Toh and V W -Y Tan and P S -T Lau and A Kiyu},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028764085&doi=10.1007%2fs10803-017-3287-x&partnerID=40&md5=21bce2407197b8b1e43b4420d274861b},
doi = {10.1007/s10803-017-3287-x},
issn = {01623257},
year = {2018},
date = {2018-01-01},
journal = {Journal of Autism and Developmental Disorders},
volume = {48},
number = {1},
pages = {28-35},
publisher = {Springer New York LLC},
abstract = {This study determined the accuracy of Modified Checklist for Autism in Toddlers (M-CHAT) in detecting toddlers with autism spectrum disorder (ASD) and other developmental disorders (DD) in community mother and child health clinics. We analysed 19,297 eligible toddlers (15–36 months) who had M-CHAT performed in 2006–2011. Overall sensitivities for detecting ASD and all DD were poor but better in the 21 to <27 months and 27–36-month age cohorts (54.5–64.3%). Although positive predictive value (PPV) was poor for ASD, especially the younger cohort, positive M-CHAT helped in detecting all DD (PPV = 81.6%). This suggested M-CHAT for screening ASD was accurate for older cohorts (>21 months) and a useful screening tool for all DD. © 2017, Springer Science+Business Media, LLC.},
note = {cited By 9},
keywords = {Article, Autism, Autism Assessment, Autism Spectrum Disorders, Checklist, Children, Cohort Analysis, Cohort Studies, Community Health Centers, Developmental Disorders, Diagnostic Accuracy, Female, Health Center, Human, Infant, Major Clinical Study, Malaysia, Male, Mass Screening, Modified Checklist for Autism in Toddlers, Pediatric Hospital, Predictive Value, Preschool, Preschool Child, Priority Journal, Procedures, Psychology, Retrospective Studies, Retrospective Study, Sensitivity and Specificity, Standards, Toddler},
pubstate = {published},
tppubtype = {article}
}

@article{Hnoonual2017,
title = {Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder},
author = {A Hnoonual and W Thammachote and T Tim-Aroon and K Rojnueangnit and T Hansakunachai and T Sombuntham and R Roongpraiwan and J Worachotekamjorn and J Chuthapisith and S Fucharoen and D Wattanasirichaigoon and N Ruangdaraganon and P Limprasert and N Jinawath},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029864969&doi=10.1038%2fs41598-017-12317-3&partnerID=40&md5=3c1b6a0c064665aab8ace8e8f58c2b01},
doi = {10.1038/s41598-017-12317-3},
issn = {20452322},
year = {2017},
date = {2017-01-01},
journal = {Scientific Reports},
volume = {7},
number = {1},
publisher = {Nature Publishing Group},
abstract = {Chromosomal microarray (CMA) is now recognized as the first-tier genetic test for detection of copy number variations (CNVs) in patients with autism spectrum disorder (ASD). The aims of this study were to identify known and novel ASD associated-CNVs and to evaluate the diagnostic yield of CMA in Thai patients with ASD. The Infinium CytoSNP-850K BeadChip was used to detect CNVs in 114 Thai patients comprised of 68 retrospective ASD patients (group 1) with the use of CMA as a second line test and 46 prospective ASD and developmental delay patients (group 2) with the use of CMA as the first-tier test. We identified 7 (6.1%) pathogenic CNVs and 22 (19.3%) variants of uncertain clinical significance (VOUS). A total of 29 patients with pathogenic CNVs and VOUS were found in 22% (15/68) and 30.4% (14/46) of the patients in groups 1 and 2, respectively. The difference in detected CNV frequencies between the 2 groups was not statistically significant (Chi square = 1.02},
note = {cited By 6},
keywords = {Adolescent, Autism, Autism Spectrum Disorders, Children, Chromosomal Mapping, Chromosome Mapping, Cohort Analysis, Cohort Studies, Copy Number Variation, DNA Copy Number Variations, Female, Genetic Predisposition, Genetic Predisposition to Disease, Genetics, Human, Infant, Male, Membrane Protein, Membrane Proteins, Microarray Analysis, Polymorphism, Preschool, Preschool Child, Procedures, SERINC2 Protein, Single Nucleotide, Single Nucleotide Polymorphism},
pubstate = {published},
tppubtype = {article}
}