Whole-exome sequencing revealed co-segregating variants in a multigenerational family with schizophrenia

Schizophrenia is a complex neuropsychiatric disorder with both genetic and environmental contributions. Despite extensive genome-wide studies identifying common risk variants, a substantial proportion of heritability remains unexplained. Whole-exome sequencing (WES) in multiplex families offers a valuable approach to identify rare, potentially high-impact variants segregating with disease. This study aimed to identify potentially relevant coding variants associated with schizophrenia in a multigenerational family. A four-generation multiplex family with schizophrenia was recruited, with one affected individual in each of three successive generations. WES was performed in seven individuals from the family (three affected and four unaffected). Variants were prioritised based on minor allele frequency (MAF < 0.01), predicted functional impact, and co-segregation patterns. Five candidate variants in genes previously implicated in neuropsychiatric pathways— rs2066471 (MTHFR), rs147953761 (CHI3L1), rs1490428731 and rs7645908 (DRD3), and rs165599 (COMT) MTHFR—were identified. These variants co-segregated with affected individuals inherited from grandmother to granddaughter through the father. These genes are involved in dopaminergic signalling, neuroinflammation, and folate metabolism, all of which have been associated with the pathophysiology of schizophrenia. This family-based WES study highlights potentially relevant variants in biologically plausible candidate genes and supports the contribution of the rare and common variants to the risk of schizophrenia. Further studies in larger cohorts and functional validation are required to establish their pathogenic role.

Authors

Institutions

Publication Details

Journal
BMC Medical Genomics
Published
2026-11-06
DOI
https://doi.org/10.1186/s12920-026-02477-5
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Whole-exome sequencing revealed co-segregating variants in a multigenerational family with schizophrenia

Monika Jaithal, Amrit Sudershan, Nisha Kapoor, Manu Arora et al.
3 links
BMC Medical Genomics
Schizophrenia research and treatment
article

Whole-exome sequencing revealed co-segregating variants in a multigenerational family with schizophrenia

Monika Jaithal, Amrit Sudershan, Nisha Kapoor, Manu Arora, Ishan Behlam, Indu Priya
article en

Abstract

Schizophrenia is a complex neuropsychiatric disorder with both genetic and environmental contributions. Despite extensive genome-wide studies identifying common risk variants, a substantial proportion of heritability remains unexplained. Whole-exome sequencing (WES) in multiplex families offers a valuable approach to identify rare, potentially high-impact variants segregating with disease. This study aimed to identify potentially relevant coding variants associated with schizophrenia in a multigenerational family. A four-generation multiplex family with schizophrenia was recruited, with one affected individual in each of three successive generations. WES was performed in seven individuals from the family (three affected and four unaffected). Variants were prioritised based on minor allele frequency (MAF < 0.01), predicted functional impact, and co-segregation patterns. Five candidate variants in genes previously implicated in neuropsychiatric pathways— rs2066471 (MTHFR), rs147953761 (CHI3L1), rs1490428731 and rs7645908 (DRD3), and rs165599 (COMT) MTHFR—were identified. These variants co-segregated with affected individuals inherited from grandmother to granddaughter through the father. These genes are involved in dopaminergic signalling, neuroinflammation, and folate metabolism, all of which have been associated with the pathophysiology of schizophrenia. This family-based WES study highlights potentially relevant variants in biologically plausible candidate genes and supports the contribution of the rare and common variants to the risk of schizophrenia. Further studies in larger cohorts and functional validation are required to establish their pathogenic role.

BMC Medical Genomics
University of Jammu (IN), Maharishi Markandeshwar University, Mullana (IN), Cluster University Srinagar (IN), Government Medical College (IN), Sri Pratap College (IN)
Good health and well-being
Openalex Percentile: Top 14%
Schizophrenia research and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon