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Schizophrenia and bipolar disorder have been considered to be separate conditions since their initial definition by Kraepelin in the late 1890s. Despite the distinctions between the conditions in terms of their definitional criteria (delusions and hallucinations versus wide-ranging changes in mood), there are multiple shared phenotypic features. These features include cognitive impairments, everyday disability, and suicidal ideation and behavior. Genomic approaches initially focused on family and population characteristics, findings overlapping risk within families. Recent efforts have shifted to large-scale genome-wide association studies, targeting both susceptibility to the conditions and genomic correlates of the shared phenotypic features. Among the major shared phenotypic features, it appears that polygenic risk for schizophrenia and bipolar disorder also overlaps with the genomics of cognitive functioning, including cognitive functioning in the general population. Polygenic risk for depression is also associated with both schizophrenia and bipolar disorder. While most of the genomic influence to date in these two conditions has arisen from common variants, rare variants such as alterations in copy number variations have been seen to be more strongly associated with schizophrenia than bipolar disorders, but sample size differences may be responsible for the lack of effects in bipolar disorder. As sample sizes increase, it is anticipated that even more overlap between bipolar disorder and schizophrenia will be detected, as well as the continued exploration of aggregated phenotypic and genomic features in the two conditions.
Schizophrenia and bipolar disorder have been considered to be separate conditions since their initial definition by Kraepelin in the late 1890s. Despite the distinctions between the conditions in terms of their definitional criteria (delusions and hallucinations versus wide-ranging changes in mood), there are multiple shared phenotypic features. These features include cognitive impairments, everyday disability, and suicidal ideation and behavior. Genomic approaches initially focused on family and population characteristics, findings overlapping risk within families. Recent efforts have shifted to large-scale genome-wide association studies, targeting both susceptibility to the conditions and genomic correlates of the shared phenotypic features. Among the major shared phenotypic features, it appears that polygenic risk for schizophrenia and bipolar disorder also overlaps with the genomics of cognitive functioning, including cognitive functioning in the general population. Polygenic risk for depression is also associated with both schizophrenia and bipolar disorder. While most of the genomic influence to date in these two conditions has arisen from common variants, rare variants such as alterations in copy number variations have been seen to be more strongly associated with schizophrenia than bipolar disorders, but sample size differences may be responsible for the lack of effects in bipolar disorder. As sample sizes increase, it is anticipated that even more overlap between bipolar disorder and schizophrenia will be detected, as well as the continued exploration of aggregated phenotypic and genomic features in the two conditions.
IntroductionWhole Exome Sequencing (WES) studies have provided important insights into the genetic architecture of neuropsychiatric syndromes identifying rare and novel variants in the protein-coding sequence of the genome that impact function. Variants and genes that are central to the shared biology of these clinical syndromes may be identified by WES in families with multiple affected individuals with serious mental illnesses (F-SMI).MethodsWe performed WES in 250 individuals (affected = 186, family-control = 64) from 100 families, each with ≥2 members with SMI, and 60 unrelated population-controls. Within pedigree prioritization employed criteria of 1. rarity (Minor Allele Frequency <0.1%, GnomAD South-Asian sample, 15308 exomes); 2. functional consequence (‘Loss of Function’ or ‘missense deleterious in 4/5 in silico predictions). 3. sharing by ≥3 affected members within a family. Across the sample, gene-set-wide case-control association analysis was performed with Sequence Kernel Association Test, accounting for kinship.ResultsIn 17 families with ≥3 exome samples, we identified 79 rare predicted deleterious variants in 79 unique genes shared by ≥3 affected members and absent in 60 unrelated controls. Twenty (25.32%) genes were implicated in monogenic neurodevelopmental syndromes in Online Mendelian Inheritance in Man representing a statistically significant overrepresentation (Fisher’s Exact test OR = 2.47, p = 0.001). In gene-set wise SKAT, statistically significant association was noted for genes related to synaptic function (SKAT-p = 0.017).DiscussionIn F-SMI based WES study, we identify private, rare, protein altering variants in genes previously implicated in monogenic Mendelian neuropsychiatric syndromes; suggesting pleotropic influences in neurodevelopment between complex and monogenic syndromes.
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