Cargando…

Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test

BACKGROUND: Autism spectrum disorder (ASD) affects 1 in 100 children globally with a rapidly increasing prevalence. To the best of our knowledge, no data exists on the genetic architecture of ASD in India. This study aimed to identify the genetic architecture of ASD in India and to assess the use of...

Descripción completa

Detalles Bibliográficos
Autores principales: Sheth, Frenny, Shah, Jhanvi, Jain, Deepika, Shah, Siddharth, Patel, Harshkumar, Patel, Ketan, Solanki, Dhaval I, Iyer, Anand S, Menghani, Bhargavi, Mhatre, Priti, Mehta, Sanjiv, Bajaj, Shruti, Patel, Vishal, Pandya, Manoj, Dhami, Deepak, Patel, Darshan, Sheth, Jayesh, Sheth, Harsh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403833/
https://www.ncbi.nlm.nih.gov/pubmed/37543562
http://dx.doi.org/10.1186/s12883-023-03341-0
_version_ 1785085158408323072
author Sheth, Frenny
Shah, Jhanvi
Jain, Deepika
Shah, Siddharth
Patel, Harshkumar
Patel, Ketan
Solanki, Dhaval I
Iyer, Anand S
Menghani, Bhargavi
Mhatre, Priti
Mehta, Sanjiv
Bajaj, Shruti
Patel, Vishal
Pandya, Manoj
Dhami, Deepak
Patel, Darshan
Sheth, Jayesh
Sheth, Harsh
author_facet Sheth, Frenny
Shah, Jhanvi
Jain, Deepika
Shah, Siddharth
Patel, Harshkumar
Patel, Ketan
Solanki, Dhaval I
Iyer, Anand S
Menghani, Bhargavi
Mhatre, Priti
Mehta, Sanjiv
Bajaj, Shruti
Patel, Vishal
Pandya, Manoj
Dhami, Deepak
Patel, Darshan
Sheth, Jayesh
Sheth, Harsh
author_sort Sheth, Frenny
collection PubMed
description BACKGROUND: Autism spectrum disorder (ASD) affects 1 in 100 children globally with a rapidly increasing prevalence. To the best of our knowledge, no data exists on the genetic architecture of ASD in India. This study aimed to identify the genetic architecture of ASD in India and to assess the use of whole exome sequencing (WES) as a first-tier test instead of chromosomal microarray (CMA) for genetic diagnosis. METHODS: Between 2020 and 2022, 101 patient-parent trios of Indian origin diagnosed with ASD according to the Diagnostic and Statistical Manual, 5th edition, were recruited. All probands underwent a sequential genetic testing pathway consisting of karyotyping, Fragile-X testing (in male probands only), CMA and WES. Candidate variant validation and parental segregation analysis was performed using orthogonal methods. RESULTS: Of 101 trios, no probands were identified with a gross chromosomal anomaly or Fragile-X. Three (2.9%) and 30 (29.7%) trios received a confirmed genetic diagnosis from CMA and WES, respectively. Amongst diagnosis from WES, SNVs were detected in 27 cases (90%) and CNVs in 3 cases (10%), including the 3 CNVs detected from CMA. Segregation analysis showed 66.6% (n = 3 for CNVs and n = 17 for SNVs) and 16.6% (n = 5) of the cases had de novo and recessive variants respectively, which is in concordance with the distribution of variant types and mode of inheritance observed in ASD patients of non-Hispanic white/ European ethnicity. MECP2 gene was the most recurrently mutated gene (n = 6; 20%) in the present cohort. Majority of the affected genes identified in the study cohort are involved in synaptic formation, transcription and its regulation, ubiquitination and chromatin remodeling. CONCLUSIONS: Our study suggests de novo variants as a major cause of ASD in the Indian population, with Rett syndrome as the most commonly detected disorder. Furthermore, we provide evidence of a significant difference in the diagnostic yield between CMA (3%) and WES (30%) which supports the implementation of WES as a first-tier test for genetic diagnosis of ASD in India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-023-03341-0.
format Online
Article
Text
id pubmed-10403833
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-104038332023-08-06 Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test Sheth, Frenny Shah, Jhanvi Jain, Deepika Shah, Siddharth Patel, Harshkumar Patel, Ketan Solanki, Dhaval I Iyer, Anand S Menghani, Bhargavi Mhatre, Priti Mehta, Sanjiv Bajaj, Shruti Patel, Vishal Pandya, Manoj Dhami, Deepak Patel, Darshan Sheth, Jayesh Sheth, Harsh BMC Neurol Research BACKGROUND: Autism spectrum disorder (ASD) affects 1 in 100 children globally with a rapidly increasing prevalence. To the best of our knowledge, no data exists on the genetic architecture of ASD in India. This study aimed to identify the genetic architecture of ASD in India and to assess the use of whole exome sequencing (WES) as a first-tier test instead of chromosomal microarray (CMA) for genetic diagnosis. METHODS: Between 2020 and 2022, 101 patient-parent trios of Indian origin diagnosed with ASD according to the Diagnostic and Statistical Manual, 5th edition, were recruited. All probands underwent a sequential genetic testing pathway consisting of karyotyping, Fragile-X testing (in male probands only), CMA and WES. Candidate variant validation and parental segregation analysis was performed using orthogonal methods. RESULTS: Of 101 trios, no probands were identified with a gross chromosomal anomaly or Fragile-X. Three (2.9%) and 30 (29.7%) trios received a confirmed genetic diagnosis from CMA and WES, respectively. Amongst diagnosis from WES, SNVs were detected in 27 cases (90%) and CNVs in 3 cases (10%), including the 3 CNVs detected from CMA. Segregation analysis showed 66.6% (n = 3 for CNVs and n = 17 for SNVs) and 16.6% (n = 5) of the cases had de novo and recessive variants respectively, which is in concordance with the distribution of variant types and mode of inheritance observed in ASD patients of non-Hispanic white/ European ethnicity. MECP2 gene was the most recurrently mutated gene (n = 6; 20%) in the present cohort. Majority of the affected genes identified in the study cohort are involved in synaptic formation, transcription and its regulation, ubiquitination and chromatin remodeling. CONCLUSIONS: Our study suggests de novo variants as a major cause of ASD in the Indian population, with Rett syndrome as the most commonly detected disorder. Furthermore, we provide evidence of a significant difference in the diagnostic yield between CMA (3%) and WES (30%) which supports the implementation of WES as a first-tier test for genetic diagnosis of ASD in India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-023-03341-0. BioMed Central 2023-08-05 /pmc/articles/PMC10403833/ /pubmed/37543562 http://dx.doi.org/10.1186/s12883-023-03341-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sheth, Frenny
Shah, Jhanvi
Jain, Deepika
Shah, Siddharth
Patel, Harshkumar
Patel, Ketan
Solanki, Dhaval I
Iyer, Anand S
Menghani, Bhargavi
Mhatre, Priti
Mehta, Sanjiv
Bajaj, Shruti
Patel, Vishal
Pandya, Manoj
Dhami, Deepak
Patel, Darshan
Sheth, Jayesh
Sheth, Harsh
Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test
title Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test
title_full Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test
title_fullStr Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test
title_full_unstemmed Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test
title_short Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test
title_sort comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in india: evidence supporting whole exome sequencing as first tier test
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403833/
https://www.ncbi.nlm.nih.gov/pubmed/37543562
http://dx.doi.org/10.1186/s12883-023-03341-0
work_keys_str_mv AT shethfrenny comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT shahjhanvi comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT jaindeepika comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT shahsiddharth comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT patelharshkumar comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT patelketan comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT solankidhavali comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT iyeranands comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT menghanibhargavi comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT mhatrepriti comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT mehtasanjiv comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT bajajshruti comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT patelvishal comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT pandyamanoj comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT dhamideepak comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT pateldarshan comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT shethjayesh comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest
AT shethharsh comparativeyieldofmoleculardiagnosticalgorithmsforautismspectrumdisorderdiagnosisinindiaevidencesupportingwholeexomesequencingasfirsttiertest