Singapore Undiagnosed Disease Program: Genomic Analysis aids Diagnosis and Clinical Management. Issue 1 (20th August 2020)
- Record Type:
- Journal Article
- Title:
- Singapore Undiagnosed Disease Program: Genomic Analysis aids Diagnosis and Clinical Management. Issue 1 (20th August 2020)
- Main Title:
- Singapore Undiagnosed Disease Program: Genomic Analysis aids Diagnosis and Clinical Management
- Authors:
- Bhatia, Neha S
Lim, Jiin Ying
Bonnard, Carine
Kuan, Jyn-Ling
Brett, Maggie
Wei, Heming
Cham, Breana
Chin, Huilin
Bosso-Lefevre, Celia
Dharuman, Perumal
Escande-Beillard, Nathalie
Devasia, Arun George
Goh, Chew Yin Jasmine
Kam, Sylvia
Liew, Wendy Kein-Meng
Liew, Woei Kang
Lin, Grace
Jain, Kanika
Ng, Alvin Yu-Jin
Subramanian, Deepa
Xie, Min
Tan, Yuen-Ming
Tawari, Nilesh R
Tiang, Zenia
Ting, Teck Wah
Tohari, Sumanty
Tong, Cheuk Ka
Lezhava, Alexander
Ng, Sarah B
Law, Hai Yang
Venkatesh, Byrappa
Tomar, Swati
Sethi, Raman
Tan, Grace
Shanmugasundaram, Arthi
Goh, Denise Li-Meng
Lai, Poh San
Lai, Angeline
Tan, Ee Shien
Ng, Ivy
Reversades, Bruno
Tan, Ene Choo
Foo, Roger
Jamuar, Saumya Shekhar
… (more) - Other Names:
- author non-byline.
Koh Mark author non-byline.
Ho Madeline author non-byline.
Wah Lee Bee author non-byline.
Shek Lynette author non-byline.
Tay Stacey author non-byline.
Hui Ng Kar author non-byline.
Ng Pauline author non-byline.
Lim Tony author non-byline.
Dunn Ray author non-byline.
Connolly John author non-byline.
Pouladi Mahmoud author non-byline.
Tan Patrick author non-byline. - Abstract:
- Abstract : Objective: Use next-generation sequencing (NGS) technology to improve our diagnostic yield in patients with suspected genetic disorders in the Asian setting. Design: A diagnostic study conducted between 2014 and 2019 (and ongoing) under the Singapore Undiagnosed Disease Program. Date of last analysis was 1 July 2019. Setting: Inpatient and outpatient genetics service at two large academic centres in Singapore. Patients: Inclusion criteria: patients suspected of genetic disorders, based on abnormal antenatal ultrasound, multiple congenital anomalies and developmental delay. Exclusion criteria: patients with known genetic disorders, either after clinical assessment or investigations (such as karyotype or chromosomal microarray). Interventions: Use of NGS technology—whole exome sequencing (WES) or whole genome sequencing (WGS). Main outcome measures: (1) Diagnostic yield by sequencing type, (2) diagnostic yield by phenotypical categories, (3) reduction in time to diagnosis and (4) change in clinical outcomes and management. Results: We demonstrate a 37.8% diagnostic yield for WES (n=172) and a 33.3% yield for WGS (n=24). The yield was higher when sequencing was conducted on trios (40.2%), as well as for certain phenotypes (neuromuscular, 54%, and skeletal dysplasia, 50%). In addition to aiding genetic counselling in 100% of the families, a positive result led to a change in treatment in 27% of patients. Conclusion: Genomic sequencing is an effective method forAbstract : Objective: Use next-generation sequencing (NGS) technology to improve our diagnostic yield in patients with suspected genetic disorders in the Asian setting. Design: A diagnostic study conducted between 2014 and 2019 (and ongoing) under the Singapore Undiagnosed Disease Program. Date of last analysis was 1 July 2019. Setting: Inpatient and outpatient genetics service at two large academic centres in Singapore. Patients: Inclusion criteria: patients suspected of genetic disorders, based on abnormal antenatal ultrasound, multiple congenital anomalies and developmental delay. Exclusion criteria: patients with known genetic disorders, either after clinical assessment or investigations (such as karyotype or chromosomal microarray). Interventions: Use of NGS technology—whole exome sequencing (WES) or whole genome sequencing (WGS). Main outcome measures: (1) Diagnostic yield by sequencing type, (2) diagnostic yield by phenotypical categories, (3) reduction in time to diagnosis and (4) change in clinical outcomes and management. Results: We demonstrate a 37.8% diagnostic yield for WES (n=172) and a 33.3% yield for WGS (n=24). The yield was higher when sequencing was conducted on trios (40.2%), as well as for certain phenotypes (neuromuscular, 54%, and skeletal dysplasia, 50%). In addition to aiding genetic counselling in 100% of the families, a positive result led to a change in treatment in 27% of patients. Conclusion: Genomic sequencing is an effective method for diagnosing rare disease or previous 'undiagnosed' disease. The clinical utility of WES/WGS is seen in the shortened time to diagnosis and the discovery of novel variants. Additionally, reaching a diagnosis significantly impacts families and leads to alteration in management of these patients. … (more)
- Is Part Of:
- Archives of disease in childhood. Volume 106:Issue 1(2021)
- Journal:
- Archives of disease in childhood
- Issue:
- Volume 106:Issue 1(2021)
- Issue Display:
- Volume 106, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 106
- Issue:
- 1
- Issue Sort Value:
- 2021-0106-0001-0000
- Page Start:
- 31
- Page End:
- 37
- Publication Date:
- 2020-08-20
- Subjects:
- genetics -- syndrome
Children -- Diseases -- Periodicals
Infants -- Diseases -- Periodicals
618.920005 - Journal URLs:
- http://adc.bmjjournals.com/ ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/archdischild-2020-319180 ↗
- Languages:
- English
- ISSNs:
- 0003-9888
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17230.xml