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Genome-wide CNV analysis uncovers novel pathogenic regions in cohort of five multiplex families with neurodevelopmental disorders.

ABSTRACT: Structural reorganization of chromosomes by genomic duplications and/or deletions are known as copy number variations (CNVs). Pathogenic and disease susceptible CNVs alter gene dosage and its phenotypic expression that often leads to human genetic diseases including Neurological disorders. CNVs affecting same common genes in multiple neurodevelopmental disorders can better explain the shared clinical and genetic aetiology across brain diseases. Our study presents the novel copy number variations in a cohort of five multiplex consanguineous families with intellectual disability, microcephaly, ASD, epilepsy, and neurological syndromic features. Cytoscan HD microarray suite has revealed genome wide deletions, duplications and LOH regions which are co-segregating in the family members for the rare neurodevelopmental syndromic phenotypes. This study identifies 1q21.1 microduplication, 16p11.2 microduplication, Xp11.22 microduplication, 4p12 microdeletion and Xq21.1 microdeletion that significantly contribute to primary disease onset and its progression for the first time in Pakistani families. Our study has potential impact on the understanding of pathogenic genetic predisposition for appearance of complex and heterogeneous neurodevelopmental disorders with otherwise unexplained syndromic features. Identification of altered gene dosage across the genome is helpful in improved diagnosis, better disease management in day-to-day life activities of patients with cognitive impairment and genetic counselling of families where consanguinity is a tradition. Our study will contribute to expand the knowledge of genotype-phenotype expression and future gateways in therapeutics and precision medicine research will be open in Pakistan.

SUBMITTER: Mudassir BU

PROVIDER: S-EPMC10558996 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Genome-wide CNV analysis uncovers novel pathogenic regions in cohort of five multiplex families with neurodevelopmental disorders.

Mudassir Behjat Ul BU Alotaibi Mashael Alhumaidi MA Kizilbash Nadeem N Alruwaili Daliyah D Alruwaili Anwar A Alenezi Modhi M Agha Zehra Z

Heliyon 20230901 9

Structural reorganization of chromosomes by genomic duplications and/or deletions are known as copy number variations (CNVs). Pathogenic and disease susceptible CNVs alter gene dosage and its phenotypic expression that often leads to human genetic diseases including Neurological disorders. CNVs affecting same common genes in multiple neurodevelopmental disorders can better explain the shared clinical and genetic aetiology across brain diseases. Our study presents the novel copy number variations ...[more]

PMID: 37810058

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Project description:BackgroundNeurodevelopmental disorders (NDDs) compromise the development and attainment of full social and economic potential at individual, family, community, and country levels. Paucity of data on NDDs slows down policy and programmatic action in most developing countries despite perceived high burden.Methods and findingsWe assessed 3,964 children (with almost equal number of boys and girls distributed in 2-<6 and 6-9 year age categories) identified from five geographically diverse populations in India using cluster sampling technique (probability proportionate to population size). These were from the North-Central, i.e., Palwal (N = 998; all rural, 16.4% non-Hindu, 25.3% from scheduled caste/tribe [SC-ST] [these are considered underserved communities who are eligible for affirmative action]); North, i.e., Kangra (N = 997; 91.6% rural, 3.7% non-Hindu, 25.3% SC-ST); East, i.e., Dhenkanal (N = 981; 89.8% rural, 1.2% non-Hindu, 38.0% SC-ST); South, i.e., Hyderabad (N = 495; all urban, 25.7% non-Hindu, 27.3% SC-ST) and West, i.e., North Goa (N = 493; 68.0% rural, 11.4% non-Hindu, 18.5% SC-ST). All children were assessed for vision impairment (VI), epilepsy (Epi), neuromotor impairments including cerebral palsy (NMI-CP), hearing impairment (HI), speech and language disorders, autism spectrum disorders (ASDs), and intellectual disability (ID). Furthermore, 6-9-year-old children were also assessed for attention deficit hyperactivity disorder (ADHD) and learning disorders (LDs). We standardized sample characteristics as per Census of India 2011 to arrive at district level and all-sites-pooled estimates. Site-specific prevalence of any of seven NDDs in 2-<6 year olds ranged from 2.9% (95% CI 1.6-5.5) to 18.7% (95% CI 14.7-23.6), and for any of nine NDDs in the 6-9-year-old children, from 6.5% (95% CI 4.6-9.1) to 18.5% (95% CI 15.3-22.3). Two or more NDDs were present in 0.4% (95% CI 0.1-1.7) to 4.3% (95% CI 2.2-8.2) in the younger age category and 0.7% (95% CI 0.2-2.0) to 5.3% (95% CI 3.3-8.2) in the older age category. All-site-pooled estimates for NDDs were 9.2% (95% CI 7.5-11.2) and 13.6% (95% CI 11.3-16.2) in children of 2-<6 and 6-9 year age categories, respectively, without significant difference according to gender, rural/urban residence, or religion; almost one-fifth of these children had more than one NDD. The pooled estimates for prevalence increased by up to three percentage points when these were adjusted for national rates of stunting or low birth weight (LBW). HI, ID, speech and language disorders, Epi, and LDs were the common NDDs across sites. Upon risk modelling, noninstitutional delivery, history of perinatal asphyxia, neonatal illness, postnatal neurological/brain infections, stunting, LBW/prematurity, and older age category (6-9 year) were significantly associated with NDDs. The study sample was underrepresentative of stunting and LBW and had a 15.6% refusal. These factors could be contributing to underestimation of the true NDD burden in our population.ConclusionsThe study identifies NDDs in children aged 2-9 years as a significant public health burden for India. HI was higher than and ASD prevalence comparable to the published global literature. Most risk factors of NDDs were modifiable and amenable to public health interventions.

Project description:IntroductionPhenotype definition of psychotic disorders has a strong impact on the degree of familial aggregation. Nevertheless, the extent to which distinct classification systems affect familial aggregation (ie, familiality) remains an open question. This study was aimed at examining the familiality associated with 4 nosologic systems of psychotic disorders (DSM-IV, ICD-10, Leonhard's classification and a data-driven approach) and their constituting diagnoses in a sample of multiplex families with psychotic disorders.MethodsParticipants were probands with a psychotic disorder, their parents and at least one first-degree relative with a psychotic disorder. The sample was made of 441 families comprising 2703 individuals, of whom 1094 were affected and 1709 unaffected.ResultsThe Leonhard classification system had the highest familiality (h (2) = 0.64), followed by the empirical (h (2) = 0.55), DSM-IV (h (2) = 0.50), and ICD-10 (h (2) = 0.48). Familiality estimates for individual diagnoses varied considerably (h (2) = 0.25-0.79). Regarding schizophrenia diagnoses, Leonhard's systematic schizophrenia (h (2) = 0.78) had the highest familiality, followed by latent class core schizophrenia (h (2) = 0.74), DSM-IV schizophrenia (h (2) = 0.48), and ICD-10 schizophrenia (h (2) = 0.41). Psychotic mood disorders showed substantial familiality across nosologic systems (h (2) = 0.60-0.77). Domains of psychopathology other than reality-distortion symptoms showed moderate familiality irrespective of diagnosis (h (2) = 0.22-0.52) with the deficit syndrome of schizophrenia showing the highest familiality (h (2) = 0.66).ConclusionsWhile affective psychoses showed relatively high familiality estimates across classification schemes, those of nonaffective psychoses varied markedly as a function of the diagnostic scheme with a narrow schizophrenia phenotype maximizing its familial aggregation. Leonhard's classification of psychotic disorders may be better suited for molecular genetic studies than the official diagnostic systems.

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Genome-wide CNV analysis uncovers novel pathogenic regions in cohort of five multiplex families with neurodevelopmental disorders.

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Genome-wide CNV analysis uncovers novel pathogenic regions in cohort of five multiplex families with neurodevelopmental disorders.

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