VarScan2 analysis of de novo variants in monozygotic twins discordant for schizophrenia

单卵双胞胎 疾病 病因学 精神分裂症(面向对象编程) 双胞胎研究 遗传学 生物 全基因组关联研究 基因 医学 基因型 精神科 遗传力 病理 单核苷酸多态性
作者
Emma Reble,Christina A Castellani,Melkaye G Melka,Richard O’Reilly,Shiva M. Singh
出处
期刊:Psychiatric Genetics [Ovid Technologies (Wolters Kluwer)]
卷期号:27 (2): 62-70 被引量:29
标识
DOI:10.1097/ypg.0000000000000162
摘要

Monozygotic twins with near-identical genotypes and discordance for complex diseases represent an exceptional resource to ascertain disease etiology. This strategy has been particularly effective with the availability of high-resolution complete individual genome sequencing. The challenge is using effective approaches to identify relevant differences that may cause or contribute toward disease discordance.This study carried out a VarScan2 bioinformatic analysis and a pathway analysis on whole-genome sequences from two sets of monozygotic twins.Variants were identified that were present in the affected twin, but not found in the unaffected twin. Such variations are expected to be de novo and originate during the independent development of the twins and may make them discordant for the disease. The genes and de novo variants identified in this experiment are compatible with their involvement in schizophrenia. Further analysis of the variants identified pathways including glutamate receptor signaling that have been implicated in this neurodevelopmental disease.The results support the polygenic nature of schizophrenia and the threshold model for its development. The results also show the effectiveness of VarScan2 to identify 'the needle in the hay stack' that may cause schizophrenia, specifically in the two patients. It offers a proof of principle for assessment of the genetic etiology of complex disorders where discordance of monozygotic twins is an established phenomenon.
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