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Next-Generation Sequencing in Unexplained Intellectual Disability.
Sandal, Sapna; Verma, Ishwar Chander; Mahay, Sunita Bijarnia; Dubey, Sudhisha; Sabharwal, R K; Kulshrestha, Samarth; Saxena, Renu; Suman, Praveen; Kumar, Praveen; Puri, Ratna Dua.
Affiliation
  • Sandal S; Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
  • Verma IC; Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
  • Mahay SB; Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
  • Dubey S; Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
  • Sabharwal RK; Department of Pediatric Neurology, Sir Ganga Ram Hospital, New Delhi, India.
  • Kulshrestha S; Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
  • Saxena R; Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
  • Suman P; Department of Developmental Pediatrics, Sir Ganga Ram Hospital, New Delhi, India.
  • Kumar P; Department of Pediatric Neurology, Sir Ganga Ram Hospital, New Delhi, India.
  • Puri RD; Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India. ratnadpuri@yahoo.com.
Indian J Pediatr ; 2023 Oct 07.
Article in En | MEDLINE | ID: mdl-37804371
ABSTRACT

OBJECTIVES:

To determine the diagnostic yield of next generation sequencing (NGS) in patients with moderate/severe/profound intellectual disability (ID) unexplained by conventional tests and to assess the impact of definitive diagnosis on the clinical management and genetic counselling of these families.

METHODS:

This was a ambi-directional study conducted at Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi. The study comprised 227 patients (prospective cohort - 126, retrospective cohort - 101) in whom NGS based tests were performed.

RESULTS:

The mean age of study cohort was 4.5 ± 4.4 y (2.5 mo to 37.3 y). The male female ratio was 1.61. The overall diagnostic yield of NGS was 53.3% (121/227) with causative variants identified in 84 known ID genes. Autosomal recessive intellectual disability (ARID) (23.3%, 53/227) was the most common followed by autosomal dominant intellectual disability (ADID) (20.7%, 47/227) and X-linked intellectual disability (XLID) (9.2%, 21/227). The diagnostic yield was notably higher for ID plus associated condition group (55.6% vs. 20%) (p = 0.0075, Fisher's exact test) compared to isolated ID group. The impact of diagnosis on active or long-term management was observed in 17/121 (14%) and on reproductive outcomes in 26/121 (21.4%) families.

CONCLUSIONS:

There is paucity of data on molecular genetic spectrum of ID from India. The current study identifies extensive genetic heterogeneity and the impact of NGS in patients with ID unexplained by standard genetic tests. The study identified ARID as the most common cause of ID with additional implications for reproductive outcomes. It reiterates the importance of phenotype in genetic testing.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Indian J Pediatr Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Indian J Pediatr Year: 2023 Document type: Article Affiliation country: