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Featured researches published by Sau Wai Cheung.


American Journal of Obstetrics and Gynecology | 2017

Positive predictive value estimates for cell-free noninvasive prenatal screening from data of a large referral genetic diagnostic laboratory

Andrea K. Petersen; Sau Wai Cheung; Janice L. Smith; Weimin Bi; Patricia A. Ward; Sandra Peacock; Alicia Braxton; Ignatia B. Van den Veyver; Amy M. Breman

Background Since its debut in 2011, cell‐free fetal DNA screening has undergone rapid expansion with respect to both utilization and coverage. However, conclusive data regarding the clinical validity and utility of this screening tool, both for the originally included common autosomal and sex‐chromosomal aneuploidies as well as the more recently added chromosomal microdeletion syndromes, have lagged behind. Thus, there is a continued need to educate clinicians and patients about the current benefits and limitations of this screening tool to inform pre‐ and posttest counseling, pre/perinatal decision making, and medical risk assessment/management. Objective The objective of this study was to determine the positive predictive value and false‐positive rates for different chromosomal abnormalities identified by cell‐free fetal DNA screening using a large data set of diagnostic testing results on invasive samples submitted to the laboratory for confirmatory studies. Study Design We tested 712 patient samples sent to our laboratory to confirm a cell‐free fetal DNA screening result, indicating high risk for a chromosome abnormality. We compiled data from all cases in which the indication for confirmatory testing was a positive cell‐free fetal DNA screen, including the common trisomies, sex chromosomal aneuploidies, microdeletion syndromes, and other large genome‐wide copy number abnormalities. Testing modalities included fluorescence in situ hybridization, G‐banded karyotype, and/or chromosomal microarray analysis performed on chorionic villus samples, amniotic fluid, or postnatally obtained blood samples. Positive predictive values and false‐positive rates were calculated from tabulated data. Results The positive predictive values for trisomy 13, 18, and 21 were consistent with previous reports at 45%, 76%, and 84%, respectively. For the microdeletion syndrome regions, positive predictive values ranged from 0% for detection of Cri‐du‐Chat syndrome and Prader‐Willi/Angelman syndrome to 14% for 1p36 deletion syndrome and 21% for 22q11.2 deletion syndrome. Detection of sex chromosomal aneuploidies had positive predictive values of 26% for monosomy X, 50% for 47,XXX, and 86% for 47,XXY. Conclusion The positive predictive values for detection of common autosomal and sex chromosomal aneuploidies by cell‐free fetal DNA screening were comparable with other studies. Identification of microdeletions was associated with lower positive predictive values and higher false‐positive rates, likely because of the low prevalence of the individual targeted microdeletion syndromes in the general population. Although the obtained positive predictive values compare favorably with those seen in traditional screening approaches for common aneuploidies, they highlight the importance of educating clinicians and patients on the limitations of cell‐free fetal DNA screening tests. Improvement of the cell‐free fetal DNA screening technology and continued monitoring of its performance after introduction into clinical practice will be important to fully establish its clinical utility. Nonetheless, our data provide valuable information that may aid result interpretation, patient counseling, and clinical decision making/management.


Human Genetics | 2017

Haploinsufficiency of the E3 ubiquitin-protein ligase gene TRIP12 causes intellectual disability with or without autism spectrum disorders, speech delay, and dysmorphic features

Jing Zhang; Tomasz Gambin; Bo Yuan; Przemyslaw Szafranski; Jill A. Rosenfeld; Mohammed Al Balwi; Abdulrahman Alswaid; Lihadh Al-Gazali; Aisha Al Shamsi; Makanko Komara; Bassam R. Ali; Elizabeth Roeder; Laura McAuley; Daniel Roy; David K. Manchester; Pilar L. Magoulas; Lauren E. King; Vickie Hannig; Dominique Bonneau; Anne-Sophie Denommé-Pichon; Majida Charif; Thomas Besnard; Stéphane Bézieau; Benjamin Cogné; Joris Andrieux; Wenmiao Zhu; Weimin He; Francesco Vetrini; Patricia A. Ward; Sau Wai Cheung

Impairment of ubiquitin–proteasome system activity involving ubiquitin ligase genes UBE3A, UBE3B, and HUWE1 and deubiquitinating enzyme genes USP7 and USP9X has been reported in patients with neurodevelopmental delays. To date, only a handful of single-nucleotide variants (SNVs) and copy-number variants (CNVs) involving TRIP12, encoding a member of the HECT domain E3 ubiquitin ligases family on chromosome 2q36.3 have been reported. Using chromosomal microarray analysis and whole-exome sequencing (WES), we have identified, respectively, five deletion CNVs and four inactivating SNVs (two frameshifts, one missense, and one splicing) in TRIP12. Seven of these variants were found to be de novo; parental studies could not be completed in two families. Quantitative PCR analyses of the splicing mutation showed a dramatically decreased level of TRIP12 mRNA in the proband compared to the family controls, indicating a loss-of-function mechanism. The shared clinical features include intellectual disability with or without autistic spectrum disorders, speech delay, and facial dysmorphism. Our findings demonstrate that E3 ubiquitin ligase TRIP12 plays an important role in nervous system development and function. The nine presented pathogenic variants further document that TRIP12 haploinsufficiency causes a childhood-onset neurodevelopmental disorder. Finally, our data enable expansion of the phenotypic spectrum of ubiquitin–proteasome dependent disorders.


Human Mutation | 2017

Characterization of Chromosomal Abnormalities in Pregnancy Losses Reveals Critical Genes and Loci for Human Early Development

Yiyun Chen; Justin Bartanus; Desheng Liang; Hongmin Zhu; Amy M. Breman; Janice L. Smith; Hua Wang; Zhilin Ren; Ankita Patel; Paweł Stankiewicz; David S. Cram; Sau Wai Cheung; Lingqian Wu; Fuli Yu

Detailed characterization of chromosomal abnormalities, a common cause for congenital abnormalities and pregnancy loss, is critical for elucidating genes for human fetal development. Here, 2,186 product‐of‐conception samples were tested for copy‐number variations (CNVs) at two clinical diagnostic centers using whole‐genome sequencing and high‐resolution chromosomal microarray analysis. We developed a new gene discovery approach to predict potential developmental genes and identified 275 candidate genes from CNVs detected from both datasets. Based on Mouse Genome Informatics (MGI) and Zebrafish model organism database (ZFIN), 75% of identified genes could lead to developmental defects when mutated. Genes involved in embryonic development, gene transcription, and regulation of biological processes were significantly enriched. Especially, transcription factors and gene families sharing specific protein domains predominated, which included known developmental genes such as HOX, NKX homeodomain genes, and helix‐loop‐helix containing HAND2, NEUROG2, and NEUROD1 as well as potential novel developmental genes. We observed that developmental genes were denser in certain chromosomal regions, enabling identification of 31 potential genomic loci with clustered genes associated with development.


Genome Medicine | 2017

Identification of novel candidate disease genes from de novo exonic copy number variants

Tomasz Gambin; Bo Yuan; Weimin Bi; Pengfei Liu; Jill A. Rosenfeld; Zeynep Coban-Akdemir; Amber N. Pursley; Sandesh C.S. Nagamani; Ronit Marom; Sailaja Golla; Lauren Dengle; Heather Petrie; Reuben Matalon; Lisa T. Emrick; Monica Proud; Diane Treadwell-Deering; Hsiao-Tuan Chao; Hannele Koillinen; Chester W. Brown; Nora Urraca; Roya Mostafavi; Saunder Bernes; Elizabeth Roeder; Kimberly M. Nugent; Patricia I. Bader; Gary Bellus; Michael Cummings; Hope Northrup; Myla Ashfaq; Rachel Westman


Genetics in Medicine | 2018

Clinical exome sequencing reveals locus heterogeneity and phenotypic variability of cohesinopathies

Bo Yuan; Juanita Neira; Davut Pehlivan; Teresa Santiago-Sim; Xiaofei Song; Jill A. Rosenfeld; Jennifer E. Posey; Vipulkumar Patel; Weihong Jin; Adam Mp; Emma L. Baple; John Dean; Chin-To Fong; Scott E. Hickey; Louanne Hudgins; Eyby Leon; Suneeta Madan-Khetarpal; Lettie Rawlins; Cecilie F. Rustad; Asbjørg Stray-Pedersen; Kristian Tveten; Olivia Wenger; Jullianne Diaz; Laura Jenkins; Laura Martin; Marianne McGuire; Marguerite Pietryga; Linda Ramsdell; Leah Slattery; Farida Abid


Archive | 2016

Table 1. [Genomic Testing Used in Xq28 Duplication Syndrome, Int22h1/Int22h2 Mediated].

Ayman W. El-Hattab; Christian P. Schaaf; Sau Wai Cheung


Archive | 2016

Figure 1. [Facial features of males (A-E)...].

Ayman W. El-Hattab; Christian P. Schaaf; Sau Wai Cheung


Archive | 2016

Table 2. [Clinical Manifestations in 26 Individuals...].

Ayman W. El-Hattab; Christian P. Schaaf; Sau Wai Cheung


Archive | 2015

Variants in a Noninstitutionalized Sample Callous-Unemotional Traits and Differently Motivated Aggression: An Examination of

Fiona McElduff; Mario Cortina-Borja; Shun-Kai Chan; Angie Wade; Douglas Curran-Everett; Sau Wai Cheung; Paweł Stankiewicz; Arthur L. Beaudet; Ankita Patel; Chad A. Shaw; James R. Lupski; Anna Gambin; Sung-Hae L. Kang; Amy M. Breman; Seema R. Lalani; Carlos A. Bacino; Wilfredo Torres-Martinez; Abby K. Stevens; Jill A. Rosenfeld; Satish Agadi; David Francis; Lisa Ximena; Rodríguez Rojas; Lindsay Elton; Daryl A. Scott; Christian P. Schaaf; Piotr Dittwald; Tomasz Gambin; Przemyslaw Szafranski; Jian Li


Abstract book | 2015

Increased STAG2 dosage defines a novel cohesinopathy with intellectual disability and behavioural problems

Raman Kumar; Mark Corbett; Bwm Van den Bon; Alison Gardner; Joshua A. Woenig; Lachlan A. Jolly; Evelyn Douglas; Kathryn Friend; Chuan Tan; Hilde Van Esch; Maureen Holvoet; Martine Raynaud; Michael Field; Melanie Leffler; B Budny; Marzena Wisniewska; Magdalena Badura-Stronka; Anna Latos-Bielenska; Jacqueline R. Batanian; Ja Rosenveld; Lina Basel-Vanagaite; C Jenssen; Melanie Bienek; R Ullman; Hao Hu; Mi Lovel; Stefan A. Haas; P Stankiewics; Sau Wai Cheung; Anne Baxendale

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Amy M. Breman

Baylor College of Medicine

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Arthur L. Beaudet

Baylor College of Medicine

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Weimin Bi

Baylor College of Medicine

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Chad A. Shaw

Baylor College of Medicine

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James R. Lupski

Baylor College of Medicine

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